WEBVTT - U.S Earnings, ISM Services Data

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<v Speaker 1>You're listening to the Bloomberg Intelligence podcast. Catch us live

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<v Speaker 2>Michael halein, Bloomberg Intelligence Senior restaurant and food service analyst,

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<v Speaker 2>joins us Now. Michael McDonald's down the most in twenty

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<v Speaker 2>twenty two. What do you think of the quarter? What

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<v Speaker 2>was the big takeaway?

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<v Speaker 3>Yeah, it was a weaker quarter than most expected. For sure,

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<v Speaker 3>sales growth was kind of weak.

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<v Speaker 4>You know.

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<v Speaker 3>They cited the impact from the Israel Hamas war, and

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<v Speaker 3>obviously that hurt results in the Middle East, but also

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<v Speaker 3>in Muslim countries like Malaysia and Indonesia, and then also

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<v Speaker 3>countries like France that have a large Muslim population. It

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<v Speaker 3>may have impacted sales here in the US a bit

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<v Speaker 3>as well. There were some calls to boycott a brand

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<v Speaker 3>right after the start of the Israel Hamas war. Those

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<v Speaker 3>kind of went away in December. In January, however, so

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<v Speaker 3>there could have been a mild impact in the United

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<v Speaker 3>States as well. And then in terms of key takeaways

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<v Speaker 3>from the call, you know, they don't expect their developmental

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<v Speaker 3>markets where the Middle East is located to improve really

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<v Speaker 3>until the war ends. And they cited some consumer weakness

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<v Speaker 3>in the United States, which they have before, right, but

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<v Speaker 3>it seems like it may be spreading in terms of

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<v Speaker 3>you know, just low income consumer weakness. You know, it

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<v Speaker 3>sounds like their customers right now are managing their guest checks.

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<v Speaker 5>Hey, Mike, I'm just looking at the PGeo function on

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<v Speaker 5>the Bloomberg turbine. I see that roughly sixty percent of

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<v Speaker 5>the revenue comes from franchise operated stores in about forty

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<v Speaker 5>percent from company operating stores. How did they make that

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<v Speaker 5>decision about what when they go to a particular location,

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<v Speaker 5>whether the franchise or own it.

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<v Speaker 3>I think a big part of it is return on investment, right,

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<v Speaker 3>So if the returns on the investment are very strong,

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<v Speaker 3>they typically want to hold on to those stores or

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<v Speaker 3>develop stores. You know, they'll they'll do some store development

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<v Speaker 3>in the United States and in their more established markets,

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<v Speaker 3>but it's going to be a small percentage of what

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<v Speaker 3>they're doing going forward. You know, most of their growth

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<v Speaker 3>is going to be you know, done by their strong

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<v Speaker 3>franchise partners, particularly particularly in China and some of these

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<v Speaker 3>other very fast growing markets talk.

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<v Speaker 2>About the input part of the situation in terms of

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<v Speaker 2>their costs, in terms of their labor and all that

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<v Speaker 2>kind of good stuff.

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<v Speaker 3>Yeah, so come on, you know, inflation is easing for

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<v Speaker 3>them this year, but it's still probably higher than normal.

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<v Speaker 2>They're looking at cows, man cows.

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<v Speaker 3>That's part of it, for sure. Beef and dairy costs

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<v Speaker 3>are expected to be higher this year. So but they're

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<v Speaker 3>looking at a you know, low single digit commodity inflation

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<v Speaker 3>in the United States and abroad. Abroad had you know,

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<v Speaker 3>Europe had very high inflation last year, and that that's

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<v Speaker 3>gonna settle down a bit. Labor inflation is going to

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<v Speaker 3>be continue to be, you know higher, and a big

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<v Speaker 3>chunk of a big part of that here is you know, uh,

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<v Speaker 3>in the US, you know, their California April first puts

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<v Speaker 3>in the twenty dollars minimum wage for fast food workers,

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<v Speaker 3>and so that's going to impact some of their stores,

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<v Speaker 3>primarily their franchisees. However, so so they're still seeing you know,

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<v Speaker 3>higher inflation than you know, we had in the twenty

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<v Speaker 3>teens for sure.

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<v Speaker 5>Hey, Mike, I look at the stock and you know

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<v Speaker 5>I need to pay a twenty two twenty three times

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<v Speaker 5>earnings for this stock. What am I really getting? Is

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<v Speaker 5>it something more than GDP top line growth? What's really

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<v Speaker 5>the call behind this kind of stock?

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<v Speaker 3>Yeah, Well, with their global growth, they should They're gonna

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<v Speaker 3>probably grow higher quicker than GDP. Know, what you're buying

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<v Speaker 3>with a franchise business is you know, pretty pretty stable

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<v Speaker 3>and predictable earnings growth, free cash flow growth. There's not

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<v Speaker 3>a lot of operating leverage in the model, and so

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<v Speaker 3>they're asset light and so they can lever the business

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<v Speaker 3>up and return cash to shareholders pretty aggressively. So it's

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<v Speaker 3>definitely an attractive model, especially one with the strong top

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<v Speaker 3>line growth like McDonald's has. And they they're also you know,

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<v Speaker 3>most investors can consider them slightly insulated against a recession

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<v Speaker 3>in slower economic times, and a big part of that

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<v Speaker 3>is that the is the value that they offer. During

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<v Speaker 3>the Great Recession, they outperformed the quick service industry pretty significantly,

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<v Speaker 3>acquired a lot of market share during that time, and

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<v Speaker 3>so investors feel there's some safety investing in McDonald's versus

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<v Speaker 3>some of the other restaurant chains out there.

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<v Speaker 2>But Mike, that confuses me with what you said about

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<v Speaker 2>customers watching their checks and their items and what they're buying,

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<v Speaker 2>because you would think if things are hard and people

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<v Speaker 2>are struggling, that you would get more value and people

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<v Speaker 2>would go to McDonald's. But you were mentioning how in

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<v Speaker 2>general people are watching their money more so they're not

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<v Speaker 2>How does that kind of square?

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<v Speaker 3>Yeah, So what we've seen is a lot of traffic

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<v Speaker 3>deterioration over the last couple of years because price increases

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<v Speaker 3>have been so aggressive and people's spending is being pinched.

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<v Speaker 1>Right.

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<v Speaker 3>But the thing about quick service, you know, they're in

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<v Speaker 3>the lower end of the market, right, and so they'll

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<v Speaker 3>see during an economic slowdown, they'll see higher and middle

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<v Speaker 3>income consumers kind of fall into their bucket. They'll try

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<v Speaker 3>they'll spend less at higher cost full service occasions, and

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<v Speaker 3>they'll visit McDonald's more often, whereas a lot of the

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<v Speaker 3>low income consumers will kind of fall out of that

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<v Speaker 3>bucket and decide to opt for the grocery store more often. So, uh,

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<v Speaker 3>they'll lose some traffic on the low end, but they'll

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<v Speaker 3>they'll probably gain some with some of the middle and

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<v Speaker 3>upper income consumers.

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<v Speaker 5>So, like, who's really their competition these When I was

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<v Speaker 5>a kid, it was Burger King and Wendy's, but now

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<v Speaker 5>there's so much more out there.

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<v Speaker 6>How do you kind of slice it?

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<v Speaker 3>Yeah, it's the restaurant business, man. It's it's so fragmented.

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<v Speaker 3>There's there's competition every may everywhere, man, you know, to

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<v Speaker 3>your point, convenience stores, grocery stores, food trucks, you know,

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<v Speaker 3>you name it. Still, primarily their biggest competition are the

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<v Speaker 3>fast food restaurants that are located closer closest to them.

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<v Speaker 3>So it depends on the market. You know, California, Jack

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<v Speaker 3>in the Box is number two, you know, on the

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<v Speaker 3>East Coast, Yeah, you know, Burger King is number two,

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<v Speaker 3>and in most markets, i'd say in the United States,

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<v Speaker 3>Wendy's obviously is a big competitor of theirs, but also

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<v Speaker 3>you know, places like Chipotle and shake Shack, you know,

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<v Speaker 3>are also all competing for restaurant dollars with McDonald's. But

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<v Speaker 3>you know, we don't look too closely at market share

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<v Speaker 3>in this business because it is so fragmented. And you know,

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<v Speaker 3>I don't really like total addressable more getting restaurants because

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<v Speaker 3>nobody's gonna eat at McDonald's three times a day, seven

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<v Speaker 3>days a week, you know, so.

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<v Speaker 2>That who's there documentary that doing that?

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<v Speaker 3>There was Yeah, yes there, we gotta.

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<v Speaker 2>Leave it there. Mike, thanks a lot. Mike Calin, Bloomberg

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<v Speaker 2>Intelligence senior restaurant and food service analysts, joining us.

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<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

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<v Speaker 1>weekdays at ten am Eastern on Apple Car playing Android

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<v Speaker 6>Es Day Lauder.

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<v Speaker 5>The stocks of thirteen percent today, that's the short term

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<v Speaker 5>pop well, and I guess some cost cuts. We'll get

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<v Speaker 5>to that with our next guest. Down forty two percent

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<v Speaker 5>on a trailing twelve month basis. That's the longer term

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<v Speaker 5>story I want to dig into as well, and we

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<v Speaker 5>can do it all with one Deborah Aichin. She is

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<v Speaker 5>the senior Luxury analyst for Bloomberg Intelligence. She joins us

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<v Speaker 5>from London via zoom You want to talk luxury, you

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<v Speaker 5>want to talk high street shopping, talk to Debacon.

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<v Speaker 6>So deb let's.

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<v Speaker 5>Start with s day Lauder today. Good day for the company.

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<v Speaker 5>Stocks up thirteen percent today. What's driving the stock today?

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<v Speaker 4>Absolutely, it's all about well, let's let's say having really

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<v Speaker 4>impacted negatively with several earnings with earnings down grades and

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<v Speaker 4>misses over the last six seven quarters, the company positively

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<v Speaker 4>positively surprised. It met its organic sales decline of eight percent,

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<v Speaker 4>not a growth, and its EPs came in slightly better,

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<v Speaker 4>so down twenty percent. But the big thing is the

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<v Speaker 4>restructure program. So it already has a restructure program in

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<v Speaker 4>play that didn't seem to be deep enough, wide enough,

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<v Speaker 4>and have enough detail to it. And now they've raised

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<v Speaker 4>five hundred to seven hundred million of cost on a

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<v Speaker 4>deeper restructure program to bring up to one point four

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<v Speaker 4>billion through twenty five and twenty six, mostly twenty five

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<v Speaker 4>or majority twenty five weighted, so with the expectation. So

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<v Speaker 4>that's kind of like four hundred million extra on what

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<v Speaker 4>they were expecting before in terms of operating profitability.

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<v Speaker 2>What was the problem that they had to fix by

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<v Speaker 2>doing that? Like, why is it so hard to be

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<v Speaker 2>s day Ladder? I thought everyone would pay a million

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<v Speaker 2>dollars for perfect skin, not talking my book or anything.

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<v Speaker 1>Right.

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<v Speaker 4>The big thing over the last couple of years that

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<v Speaker 4>we've seen We've always known that Estill order a very

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<v Speaker 4>premium product, and it did so well for so many years,

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<v Speaker 4>but it had very high exposure in Asia. So we

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<v Speaker 4>ended up a couple of years ago with a stuffed retail,

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<v Speaker 4>duty free travel retail area across China and some parts

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<v Speaker 4>of Asia, which were exacerbated by South Korea also in

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<v Speaker 4>the issues there with the Dae Goose shopper and what

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<v Speaker 4>we found, and we'd always been saying, you know, there's

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<v Speaker 4>supply side, the way that they organized themselves, the logistics.

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<v Speaker 4>They didn't have the hubs in place in Asia to

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<v Speaker 4>do as much as they were doing, so they were

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<v Speaker 4>caught short or caught overstuffed, so they had far too

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<v Speaker 4>much in trade and that has taken a long long

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<v Speaker 4>time to temper down and start to normalize. And we

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<v Speaker 4>should return overall to growth this next quarter.

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<v Speaker 6>And dead let's stay with the China stories.

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<v Speaker 5>I know from talking to you over the years and

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<v Speaker 5>reading your research, the China consumer is just critical for

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<v Speaker 5>luxury shopping.

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<v Speaker 6>Can you give us a sense because.

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<v Speaker 5>I don't want to walk down Madison Avenue or Fifth Avenue.

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<v Speaker 5>I see all the European tourists back, they're back in,

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<v Speaker 5>you know, in size, not so much with the Chinese.

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<v Speaker 6>What's going on there?

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<v Speaker 4>The big thing. We very late in getting visas through

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<v Speaker 4>the reopening of you as we thought from the beginning

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<v Speaker 4>of last year reopening of travel, but the viewers that

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<v Speaker 4>travel internationally won't come back until the second half the year.

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<v Speaker 4>And we are starting to hear some of those luxury

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<v Speaker 4>companies sane. We're seeing more Chinese, more Asian customers in

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<v Speaker 4>our stores back home. There's a lot more spent in

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<v Speaker 4>flights are fuller. The surveys that we're doing are saying

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<v Speaker 4>that they will travel, but a lot of that travel

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<v Speaker 4>so far has been across Asia.

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<v Speaker 2>But what's interesting is that not all are created equal.

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<v Speaker 2>I feel like you can Jerry pick a couple of

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<v Speaker 2>luxury stocks that have been somewhat immune and I'm just

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<v Speaker 2>wondering what those are. And I still and in the

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<v Speaker 2>skincare world too, like what is that immune skincare high

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<v Speaker 2>end product? That doesn't matter, We're all buying it anyway.

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<v Speaker 4>I think that you know there are there's some huge

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<v Speaker 4>numbers in terms of some of the brands within the

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<v Speaker 4>portfolio doing extremely well, lots of the brands of double

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<v Speaker 4>digit but it's that trade that draws down. When you

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<v Speaker 4>look at the Europe number for Estill order that's where

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<v Speaker 4>they stock travel retail, that's where it sits in its

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<v Speaker 4>P and L, and it's down minus fourteen. But actually

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<v Speaker 4>Europe underline is flat and it's the same for the

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<v Speaker 4>North American market. Within that there are brands like the

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<v Speaker 4>Ordinary and and several of the higher end brands doing

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<v Speaker 4>very very well up double digit. And it's the same

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<v Speaker 4>across if I think about the way that actually luxury

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<v Speaker 4>and you know Lorel aside Loreal is doing phenomenally well

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<v Speaker 4>with a high base of its product in what a

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<v Speaker 4>classes as Lorel looks. But let's go to some of

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<v Speaker 4>the luxury companies and the way that LVMH and others

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<v Speaker 4>are building sizeable scale in perfume and cosmetics. That's for

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<v Speaker 4>growth of six to eight percent per year and very

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<v Speaker 4>strong margin. So there are a lot of brands out

0:12:31.920 --> 0:12:35.959
<v Speaker 4>there doing very very well. But in particular what has

0:12:36.000 --> 0:12:40.920
<v Speaker 4>happened is and stockpicking, cherry picking. It's about the brands

0:12:40.920 --> 0:12:44.560
<v Speaker 4>who've had the portfolio that hasn't had so much Asia

0:12:44.600 --> 0:12:47.400
<v Speaker 4>travel retail or where it's really been able to manage that.

0:12:47.440 --> 0:12:50.840
<v Speaker 4>Because even if I think about LVMH within its selective

0:12:50.880 --> 0:12:54.880
<v Speaker 4>retail and it hous dfs due to free stores and Sophora,

0:12:55.000 --> 0:12:57.079
<v Speaker 4>and at one point last year they were both down

0:12:57.480 --> 0:12:59.800
<v Speaker 4>and they've now fully recovered. We're starting to see if

0:12:59.800 --> 0:13:02.959
<v Speaker 4>the US some robust numbers coming through even from that

0:13:03.080 --> 0:13:06.920
<v Speaker 4>aspirational end across the luxury across brands. It's getting a

0:13:06.920 --> 0:13:09.199
<v Speaker 4>little better, but it's going to take time.

0:13:09.640 --> 0:13:11.440
<v Speaker 6>And that's John Talker with the aspirational spend.

0:13:11.559 --> 0:13:12.880
<v Speaker 2>Do you invest in your face.

0:13:13.640 --> 0:13:19.280
<v Speaker 6>Other than maximum No? No, I invest in my face

0:13:19.400 --> 0:13:20.319
<v Speaker 6>maximum strength.

0:13:20.440 --> 0:13:22.600
<v Speaker 5>You know, sunblock is basically the only thing for this

0:13:22.640 --> 0:13:23.280
<v Speaker 5>Irish American.

0:13:23.360 --> 0:13:25.439
<v Speaker 2>Okay, but that's a really good thing. I mean, you're

0:13:25.440 --> 0:13:28.319
<v Speaker 2>doing something, you know. I was just thinking that the

0:13:28.360 --> 0:13:30.560
<v Speaker 2>only thing that I will not buy on sale is

0:13:30.600 --> 0:13:33.640
<v Speaker 2>my skincare. Skincare because you just it never goes on sale.

0:13:33.920 --> 0:13:36.240
<v Speaker 2>If you find something that works for you, you're sick

0:13:36.280 --> 0:13:39.839
<v Speaker 2>with a certain aged woman who does media and on TV,

0:13:40.160 --> 0:13:42.800
<v Speaker 2>like I will pay for it. Then that's I mean,

0:13:42.880 --> 0:13:43.880
<v Speaker 2>I'm not wrong, deb right.

0:13:45.000 --> 0:13:47.520
<v Speaker 4>The other thing that you do is you actually, without realizing,

0:13:47.559 --> 0:13:50.400
<v Speaker 4>you trade up and right right now at the moment,

0:13:50.520 --> 0:13:52.720
<v Speaker 4>there are some youngsters who are under twenty who were

0:13:52.760 --> 0:13:55.800
<v Speaker 4>already moving into antih and the market is trying to

0:13:55.840 --> 0:13:58.640
<v Speaker 4>stop that so as you get older, you're trading up.

0:13:59.040 --> 0:14:01.360
<v Speaker 4>My story, which I think car relate to Paula Wellbach,

0:14:01.559 --> 0:14:05.640
<v Speaker 4>was late in the autumn. I was in England and

0:14:05.760 --> 0:14:09.720
<v Speaker 4>Cambridge and there were three Chinese consumers who couldn't get

0:14:09.880 --> 0:14:13.439
<v Speaker 4>product from La Prairie very high end skincare product which

0:14:13.520 --> 0:14:16.880
<v Speaker 4>is under the House of Biased Off. It's bigcause brand

0:14:16.880 --> 0:14:20.240
<v Speaker 4>b Niveia, and they were there spending over three thousand

0:14:20.320 --> 0:14:23.680
<v Speaker 4>pounds on a little gift pack. Each of La Prairie

0:14:24.040 --> 0:14:27.360
<v Speaker 4>very high end eye product was way up of my

0:14:27.480 --> 0:14:28.160
<v Speaker 4>price range.

0:14:28.200 --> 0:14:31.520
<v Speaker 2>And these names, these real companies, What is this?

0:14:31.840 --> 0:14:34.280
<v Speaker 6>I just used Irish spring and a wash cloth.

0:14:35.920 --> 0:14:39.960
<v Speaker 2>Kind of the lebable hurts my soul, invest in your face?

0:14:40.000 --> 0:14:41.720
<v Speaker 2>This is this is a strong takeaway from that.

0:14:42.560 --> 0:14:44.280
<v Speaker 5>How are the luxury stock? What's what's kind of the

0:14:44.320 --> 0:14:46.760
<v Speaker 5>luxury call here? I look at the FA function for

0:14:46.920 --> 0:14:48.840
<v Speaker 5>es Day latter and it looks like for your the

0:14:48.880 --> 0:14:51.640
<v Speaker 5>fiscal twenty twenty five, the June of twenty five year,

0:14:51.960 --> 0:14:54.280
<v Speaker 5>the street's looking for a big pickup in revenue and

0:14:54.400 --> 0:14:55.720
<v Speaker 5>profitability for Esday latter.

0:14:55.960 --> 0:14:57.920
<v Speaker 6>What's behind that?

0:14:57.920 --> 0:15:01.240
<v Speaker 4>That's that's all about that inventory. The to put that

0:15:01.400 --> 0:15:05.440
<v Speaker 4>inventory in Asia into context, it's dragged down skincare in

0:15:05.480 --> 0:15:09.840
<v Speaker 4>this quarter organic cells minus ten percent. It's dragged down

0:15:09.880 --> 0:15:13.360
<v Speaker 4>Europe to minus fourteen, where underlying Europe was flat because

0:15:13.400 --> 0:15:17.440
<v Speaker 4>it stores that travel retail. So it's about that inventory normalizing,

0:15:17.480 --> 0:15:19.720
<v Speaker 4>and they're saying that that has happened right now at

0:15:19.720 --> 0:15:22.080
<v Speaker 4>the end of two Q, so we head into three

0:15:22.240 --> 0:15:25.320
<v Speaker 4>Q with normalized level and so therefore if that is

0:15:25.360 --> 0:15:27.840
<v Speaker 4>the case, then it's better manage. We should start to

0:15:27.840 --> 0:15:31.040
<v Speaker 4>see double digit growth coming from there. And if we

0:15:31.040 --> 0:15:34.680
<v Speaker 4>were looking underlying without that area, then we saw mid

0:15:34.680 --> 0:15:37.400
<v Speaker 4>single digit growth. So that's what that's about. And then

0:15:37.440 --> 0:15:40.560
<v Speaker 4>also on top of this new restructuring program and with

0:15:40.680 --> 0:15:42.840
<v Speaker 4>some of those benefits to come through twenty five, we've

0:15:42.840 --> 0:15:45.880
<v Speaker 4>been playing around on MODL on the calculator and what

0:15:45.920 --> 0:15:48.680
<v Speaker 4>we see there is around an expectation of twelve to

0:15:48.720 --> 0:15:52.760
<v Speaker 4>thirteen percent uplift to that twenty twenty five operating profit

0:15:52.840 --> 0:15:54.920
<v Speaker 4>to hopefully come through one consensus.

0:15:55.280 --> 0:15:57.680
<v Speaker 2>Hey, deb really appreciate it. Thank you so so much.

0:15:57.760 --> 0:16:00.880
<v Speaker 2>Debora Aig and Bloomberg Intelligence. I've seen industry analyst so

0:16:00.960 --> 0:16:02.400
<v Speaker 2>just releases the question at the end of the day

0:16:02.640 --> 0:16:04.480
<v Speaker 2>when it's trying to wind up coming back and traveling

0:16:04.560 --> 0:16:06.720
<v Speaker 2>and like that we're back to that trade, which was

0:16:06.800 --> 0:16:09.400
<v Speaker 2>the trade last last year at this exact same time.

0:16:09.440 --> 0:16:11.040
<v Speaker 2>And do we buy it this time? Do you think

0:16:11.040 --> 0:16:11.720
<v Speaker 2>it's really.

0:16:12.080 --> 0:16:14.080
<v Speaker 5>Boy, I don't know. I think so now they're back

0:16:14.080 --> 0:16:17.000
<v Speaker 5>to that. We heard from the mccow and Singapore gaming companies.

0:16:17.040 --> 0:16:18.920
<v Speaker 5>The Chinese travelers are there.

0:16:19.200 --> 0:16:20.000
<v Speaker 6>Okay, let's go.

0:16:19.960 --> 0:16:21.360
<v Speaker 5>A little bit further now so they can get the

0:16:21.440 --> 0:16:25.200
<v Speaker 5>visas and the flights, uh to come to Europe and

0:16:25.280 --> 0:16:28.280
<v Speaker 5>to come to the US. Because again Fifth Avenue talked

0:16:28.280 --> 0:16:30.440
<v Speaker 5>to merchants on Fifth Avenue and Madison Avenue.

0:16:30.160 --> 0:16:31.440
<v Speaker 6>And they're just they're waiting for that.

0:16:31.520 --> 0:16:33.280
<v Speaker 5>They thought it would be a twenty yeah, you know

0:16:33.360 --> 0:16:35.920
<v Speaker 5>this year. I mean at twenty three event was not so,

0:16:36.400 --> 0:16:37.240
<v Speaker 5>but they're I'm.

0:16:37.080 --> 0:16:39.120
<v Speaker 2>Going to see Paul like strolling down Fifth Avenue, like

0:16:39.160 --> 0:16:40.400
<v Speaker 2>going into stores.

0:16:40.080 --> 0:16:43.840
<v Speaker 5>Like like I was into my Mega store getting some

0:16:43.920 --> 0:16:45.840
<v Speaker 5>work on my watch, and I did ask that question,

0:16:45.960 --> 0:16:48.520
<v Speaker 5>and I typed a deb acon right away, say here's

0:16:48.520 --> 0:16:52.080
<v Speaker 5>some feedback from the store on fith Avenue coming starting

0:16:52.080 --> 0:16:53.880
<v Speaker 5>to come back a little bit, starting to come back

0:16:53.880 --> 0:16:56.080
<v Speaker 5>a little bit over the last three or four months.

0:16:56.160 --> 0:16:58.520
<v Speaker 5>So but you know, they're just not taking over the

0:16:58.560 --> 0:17:01.120
<v Speaker 5>city in the same time. Yeah, yeah, traffic they.

0:17:01.000 --> 0:17:02.880
<v Speaker 6>Did in some of these luxury shopping areas.

0:17:04.400 --> 0:17:08.280
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:17:08.320 --> 0:17:11.840
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0:17:11.880 --> 0:17:14.680
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0:17:14.800 --> 0:17:17.880
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0:17:18.240 --> 0:17:21.760
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0:17:22.880 --> 0:17:25.040
<v Speaker 5>So Alex and I were talking earlier this morning at

0:17:25.080 --> 0:17:27.960
<v Speaker 5>you know, around ten am Wall Street time. ISM released

0:17:28.040 --> 0:17:30.160
<v Speaker 5>us some really good services data, So let's get right

0:17:30.200 --> 0:17:32.639
<v Speaker 5>to that with Anthony Nieves. He's the chair of the

0:17:32.680 --> 0:17:36.640
<v Speaker 5>ISM Services Business Committee. He joins us at via zoom.

0:17:36.680 --> 0:17:39.920
<v Speaker 5>So Anthony again, the ISM Services Index came in at

0:17:40.119 --> 0:17:43.200
<v Speaker 5>fifty three point four. That's the headline. Consensus was fifty

0:17:43.200 --> 0:17:46.240
<v Speaker 5>two in the last period. Is fifty point six. Big

0:17:46.359 --> 0:17:48.000
<v Speaker 5>jump there? Can you walk us through that?

0:17:50.680 --> 0:17:53.920
<v Speaker 7>Certainly when you look at the composite index, it was

0:17:54.040 --> 0:17:58.000
<v Speaker 7>driven by new orders increasing two point two percentage points

0:17:58.040 --> 0:18:01.040
<v Speaker 7>from the fifty two point eight to fifty five point zero,

0:18:01.560 --> 0:18:06.639
<v Speaker 7>and employment rebounded nicely. We contracted last month in December

0:18:07.080 --> 0:18:10.800
<v Speaker 7>was attributed to the pullback. The pullback was attributed to

0:18:10.840 --> 0:18:13.679
<v Speaker 7>the fact that the cycle time of hiring with the

0:18:13.720 --> 0:18:17.359
<v Speaker 7>holidays and vacations and whatnot, and that rebounded nicely to

0:18:17.400 --> 0:18:21.480
<v Speaker 7>fifty point five, up significantly six point seven percentage points.

0:18:21.760 --> 0:18:24.440
<v Speaker 2>Hey Anthony, great to see you. We love this data.

0:18:24.480 --> 0:18:27.480
<v Speaker 2>I love the ins and analysis from it. It wasn't

0:18:27.520 --> 0:18:29.880
<v Speaker 2>like all sunshine and rainbows though. Walk us through sort

0:18:29.880 --> 0:18:32.320
<v Speaker 2>of what areas of services did well, what area of

0:18:32.320 --> 0:18:33.840
<v Speaker 2>services may be still contracting.

0:18:36.560 --> 0:18:38.920
<v Speaker 7>That's a great question. And you look at the composite

0:18:38.920 --> 0:18:44.320
<v Speaker 7>index and also prices were increasing seven point three percentage

0:18:44.359 --> 0:18:48.280
<v Speaker 7>points fifty six point seven up to sixty four. Food

0:18:48.320 --> 0:18:53.520
<v Speaker 7>prices still remain very strong. That I feel has impacted

0:18:53.600 --> 0:18:57.919
<v Speaker 7>the FED. Looking at interest rate cuts, our respondents are

0:18:57.960 --> 0:19:01.040
<v Speaker 7>telling us that they'd love to see continued cuts in

0:19:01.080 --> 0:19:04.480
<v Speaker 7>the interest rates. But the bright side of that, there's

0:19:04.600 --> 0:19:08.400
<v Speaker 7>capital spending, new projects of being released. When you look

0:19:08.440 --> 0:19:12.720
<v Speaker 7>at the top five industries that contribute to GDP, overall,

0:19:13.200 --> 0:19:18.560
<v Speaker 7>real estate rental and leasing is still contracting. The increases

0:19:18.640 --> 0:19:22.640
<v Speaker 7>coming from professional, scientific, technical services as well as healthcare

0:19:22.760 --> 0:19:24.680
<v Speaker 7>social assistance very strong this month.

0:19:25.760 --> 0:19:30.359
<v Speaker 5>So I mean the services is seventy percent of our economy.

0:19:30.480 --> 0:19:31.680
<v Speaker 6>I mean I can't.

0:19:31.480 --> 0:19:35.320
<v Speaker 5>See a GDP contraction scenario coming out of you know,

0:19:35.359 --> 0:19:36.320
<v Speaker 5>we get data like this.

0:19:36.560 --> 0:19:38.600
<v Speaker 6>I mean, are you guys at ism or what's your

0:19:38.640 --> 0:19:39.520
<v Speaker 6>economic call here?

0:19:41.880 --> 0:19:45.280
<v Speaker 7>When we look at this monthly report coupled with the

0:19:45.320 --> 0:19:48.399
<v Speaker 7>semi annual forecast, what our respondents indicated to us that

0:19:48.560 --> 0:19:51.760
<v Speaker 7>the first half, especially in services wasn't going to be

0:19:51.880 --> 0:19:54.520
<v Speaker 7>that robust, but the second half was going to be better.

0:19:54.800 --> 0:19:57.399
<v Speaker 7>I feel we're slightly ahead of the trend. And to

0:19:57.440 --> 0:20:01.560
<v Speaker 7>your point about GDP growth, think what was it three

0:20:01.600 --> 0:20:04.480
<v Speaker 7>point three percent last year? When we look at the

0:20:04.560 --> 0:20:08.040
<v Speaker 7>composite index this month annualized, it's at one point five.

0:20:08.560 --> 0:20:11.400
<v Speaker 7>And if we see the second half as they indicated

0:20:11.400 --> 0:20:16.080
<v Speaker 7>to us, being stronger, we'll have this incremental growth continue.

0:20:16.400 --> 0:20:19.040
<v Speaker 7>It'll be a good story for the services sector.

0:20:19.280 --> 0:20:21.240
<v Speaker 2>So when we jump to the prices paid, though, I

0:20:21.280 --> 0:20:24.440
<v Speaker 2>mean it's pretty staggering, jumped the most since twenty twelve.

0:20:24.960 --> 0:20:28.280
<v Speaker 2>Was this a supply story or a demand story because

0:20:28.320 --> 0:20:30.440
<v Speaker 2>we have seen a lot of supply chain snarls, et cetera.

0:20:32.440 --> 0:20:37.040
<v Speaker 7>Well, we definitely see that it's a demand issue, especially

0:20:37.040 --> 0:20:39.359
<v Speaker 7>with new orders. Even though it looks like, you know,

0:20:39.359 --> 0:20:43.520
<v Speaker 7>it's fifty five, it's middling as far as the growth

0:20:43.600 --> 0:20:45.719
<v Speaker 7>two point two percentage points up in the fifty two

0:20:45.760 --> 0:20:50.800
<v Speaker 7>point eight, but definitely it has some constraint on transportation,

0:20:51.280 --> 0:20:53.800
<v Speaker 7>and that was indicated to us by our respondents. They

0:20:53.840 --> 0:20:57.520
<v Speaker 7>said that there's challenges with the Suez Canal with the

0:20:57.560 --> 0:21:00.199
<v Speaker 7>conflict over in the Red Sea, as well as the

0:21:00.200 --> 0:21:04.800
<v Speaker 7>Panama Canal. We're seeing the capacity has reduced to less

0:21:04.840 --> 0:21:07.720
<v Speaker 7>than half of what it was based on the issues

0:21:07.800 --> 0:21:09.919
<v Speaker 7>with being able to fill up the locks with the

0:21:09.960 --> 0:21:11.520
<v Speaker 7>water shortage over there.

0:21:12.200 --> 0:21:14.920
<v Speaker 5>Interesting, all right, So what are you looking for going

0:21:14.960 --> 0:21:17.120
<v Speaker 5>forward here? Just to kind of get a sense of

0:21:17.160 --> 0:21:19.040
<v Speaker 5>the consumer. Is it the labor market? Is that the

0:21:19.040 --> 0:21:22.000
<v Speaker 5>primary driver here or what else kind of from your perspective,

0:21:22.000 --> 0:21:23.080
<v Speaker 5>influences the consumer?

0:21:25.160 --> 0:21:27.640
<v Speaker 7>Well, you know, the labor market and employment you look

0:21:27.640 --> 0:21:31.440
<v Speaker 7>at it a fifty point five. That's a really interesting

0:21:31.480 --> 0:21:34.520
<v Speaker 7>story there. It continues the same trend and pattern that

0:21:34.640 --> 0:21:38.680
<v Speaker 7>we've seen. Certain industries they're still going through job cuts,

0:21:38.720 --> 0:21:42.720
<v Speaker 7>whereas others are finding competitiveness in the marketplace and trying

0:21:42.720 --> 0:21:47.520
<v Speaker 7>to recruit and hire applicable workers. But overall, it's really

0:21:47.760 --> 0:21:50.600
<v Speaker 7>coming down to where is it driven from, and right

0:21:50.640 --> 0:21:53.199
<v Speaker 7>now it seems to be those two industries that I

0:21:53.280 --> 0:21:57.439
<v Speaker 7>mentioned previously, professional scientific, technical services, as well as the

0:21:57.760 --> 0:21:59.040
<v Speaker 7>healthcare and socialists.

0:21:59.440 --> 0:22:02.840
<v Speaker 2>Before you go, Anthony, before we let you go, is

0:22:02.840 --> 0:22:05.879
<v Speaker 2>this an economy that has the risk of actually running

0:22:05.920 --> 0:22:08.680
<v Speaker 2>hotter if you're just looking at the responding data here?

0:22:10.840 --> 0:22:14.359
<v Speaker 7>Not really, because looking at it at the fifty three

0:22:14.400 --> 0:22:18.040
<v Speaker 7>point four, it's not over. It's not in any rook

0:22:18.080 --> 0:22:19.920
<v Speaker 7>of overheating at this point.

0:22:20.280 --> 0:22:22.479
<v Speaker 2>Hey, Anthony, really great to get your perspective. Thank you

0:22:22.560 --> 0:22:25.359
<v Speaker 2>so much. Interested in goldilocks, I mean the end of

0:22:25.400 --> 0:22:27.119
<v Speaker 2>the day, like, hey, prices paid a little bit, but

0:22:27.160 --> 0:22:30.160
<v Speaker 2>this is definitely a goldilocks story, Anthony Navis. He joins

0:22:30.200 --> 0:22:32.600
<v Speaker 2>us chair of the Ism Services Business Committee. It's really

0:22:32.680 --> 0:22:34.840
<v Speaker 2>nice to get the details of the big data.

0:22:34.680 --> 0:22:39.800
<v Speaker 1>Points at you're listening to the Bloomberg Intelligence Podcast. Catch

0:22:39.880 --> 0:22:43.240
<v Speaker 1>us live weekdays at ten am Eastern on applecar Play

0:22:43.280 --> 0:22:46.080
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0:22:46.119 --> 0:22:49.399
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0:22:49.440 --> 0:22:54.040
<v Speaker 1>York station just say Alexa playing Bloomberg eleven thirty.

0:22:55.160 --> 0:22:58.480
<v Speaker 2>Is the ISM Services index really solid? Price is paid,

0:22:58.720 --> 0:23:02.320
<v Speaker 2>really solid? Employment higher, new orders higher? So let's get

0:23:02.320 --> 0:23:04.960
<v Speaker 2>the breakdown here on what this all means. Danielle de

0:23:05.040 --> 0:23:09.600
<v Speaker 2>Martino Booth, the CEO and chief strategist of QI Research. Danielle,

0:23:09.640 --> 0:23:13.080
<v Speaker 2>what do you make of this economy? I mean, it's

0:23:13.200 --> 0:23:16.160
<v Speaker 2>really hard to see any kind of slowing. It's really

0:23:16.200 --> 0:23:19.200
<v Speaker 2>hard to see sort of where that's going to come from.

0:23:19.240 --> 0:23:23.639
<v Speaker 8>What's your take, Well, I think of all of the

0:23:24.520 --> 0:23:26.359
<v Speaker 8>of all of the indicators that we've seen in the

0:23:26.440 --> 0:23:30.280
<v Speaker 8>last few days, where it's going to come from part

0:23:30.680 --> 0:23:33.160
<v Speaker 8>is the most apparent at this juncture.

0:23:33.440 --> 0:23:33.560
<v Speaker 4>You know.

0:23:34.240 --> 0:23:36.680
<v Speaker 8>One of the things that we noticed when the ISM

0:23:36.720 --> 0:23:40.480
<v Speaker 8>Services report came out in December was that the employment

0:23:40.560 --> 0:23:43.200
<v Speaker 8>component had dropped to forty three and change. We went, oh,

0:23:43.200 --> 0:23:45.520
<v Speaker 8>my gosh, that's absolutely the worst we've ever seen.

0:23:45.720 --> 0:23:45.920
<v Speaker 9>Hurse.

0:23:45.960 --> 0:23:49.879
<v Speaker 8>This morning it rebounded back above the fifty line that

0:23:50.800 --> 0:23:54.680
<v Speaker 8>separates expansion and contraction. All good and well, you say, right, well,

0:23:55.359 --> 0:23:59.400
<v Speaker 8>you look under the hood. ISM Services covers eighteen industries.

0:24:00.080 --> 0:24:04.480
<v Speaker 8>In November, there were ten that had rising employment. In

0:24:04.520 --> 0:24:08.919
<v Speaker 8>December there were seven of those eighteen with rising employment

0:24:09.040 --> 0:24:13.600
<v Speaker 8>in seven sectors. In January there were three. And so

0:24:13.960 --> 0:24:16.280
<v Speaker 8>I think we have to be very careful with the

0:24:16.359 --> 0:24:21.199
<v Speaker 8>data about getting too excited about any one headline, you know,

0:24:21.320 --> 0:24:23.639
<v Speaker 8>One of the things that came out on Friday in

0:24:23.640 --> 0:24:26.960
<v Speaker 8>the employment report was that the headline employment had increased

0:24:26.960 --> 0:24:29.199
<v Speaker 8>by three hundred and twenty five thousand. You peel the

0:24:29.240 --> 0:24:32.119
<v Speaker 8>onion back a layer and you find out then since

0:24:32.320 --> 0:24:34.600
<v Speaker 8>the month of February, since February, we have been at

0:24:34.640 --> 0:24:37.960
<v Speaker 8>a single full time job created in the United States.

0:24:38.160 --> 0:24:40.600
<v Speaker 8>In fact, it's been negative ninety seven thousand since then.

0:24:40.920 --> 0:24:44.439
<v Speaker 8>So the reason I think markets are a little bit

0:24:44.480 --> 0:24:47.920
<v Speaker 8>schizophrenic is because you have to keep looking left and

0:24:48.000 --> 0:24:49.840
<v Speaker 8>right or you're gonna get run over.

0:24:50.240 --> 0:24:50.440
<v Speaker 4>Yeah.

0:24:50.480 --> 0:24:52.520
<v Speaker 5>One of the many reasons I like Kevin Danielle on

0:24:52.560 --> 0:24:55.360
<v Speaker 5>the show because I like to just take the headline

0:24:55.400 --> 0:24:57.760
<v Speaker 5>number and run with it. She doesn't do that. She

0:24:57.800 --> 0:24:59.240
<v Speaker 5>doesn't allow me to do that. She says, I got

0:24:59.320 --> 0:25:02.400
<v Speaker 5>to peel back lets and onions and things like that. So, Danielle,

0:25:02.480 --> 0:25:06.520
<v Speaker 5>I think if I kind of read your very good

0:25:06.600 --> 0:25:10.200
<v Speaker 5>social media profile, you're not in the soft landing camp,

0:25:10.400 --> 0:25:10.719
<v Speaker 5>are you.

0:25:10.760 --> 0:25:12.400
<v Speaker 6>What's your call here?

0:25:12.440 --> 0:25:15.080
<v Speaker 5>I sense you're more cautious and you think the market

0:25:15.119 --> 0:25:16.040
<v Speaker 5>should be more cautious.

0:25:17.440 --> 0:25:19.840
<v Speaker 8>Yeah, I do think the market should be more cautious.

0:25:20.119 --> 0:25:23.439
<v Speaker 8>We have we have several sign posts that show that

0:25:23.520 --> 0:25:28.280
<v Speaker 8>October is probably when the National Bureau of Economic Research

0:25:28.320 --> 0:25:32.199
<v Speaker 8>is going to go back and backdate the recession. We

0:25:32.280 --> 0:25:36.280
<v Speaker 8>actually have one of their main indicators that they follow UH,

0:25:36.920 --> 0:25:42.159
<v Speaker 8>which is income X transfers ex Government transfers, adjust it

0:25:42.200 --> 0:25:46.080
<v Speaker 8>for inflation. That's negative. If you if you look at

0:25:46.080 --> 0:25:49.399
<v Speaker 8>in adoption production, one of the huge arbiters of recession for

0:25:49.520 --> 0:25:53.080
<v Speaker 8>the nb ER, it also UH is negative. And in

0:25:53.119 --> 0:25:57.040
<v Speaker 8>fact we're starting to see problematic inventory build in autos.

0:25:57.560 --> 0:25:59.600
<v Speaker 8>We had that we had at auto sales come in

0:25:59.640 --> 0:26:03.560
<v Speaker 8>at fifth teen point zero million seasonally adjusted annualized rate

0:26:04.040 --> 0:26:06.520
<v Speaker 8>they were expected to commit at fifteen point seven. That

0:26:06.680 --> 0:26:09.760
<v Speaker 8>was a quiet report that kind of went by the

0:26:09.800 --> 0:26:14.719
<v Speaker 8>wayside last Thursday. So there are so many revisions going on.

0:26:14.840 --> 0:26:17.080
<v Speaker 8>Goldman SAX did a huge report at the end of

0:26:17.119 --> 0:26:19.960
<v Speaker 8>the year that said every single month of retail sales

0:26:20.280 --> 0:26:23.239
<v Speaker 8>in twenty twenty three had been revised downwards and that

0:26:23.320 --> 0:26:26.960
<v Speaker 8>retail sales were flat on the year. I think we're

0:26:26.960 --> 0:26:31.359
<v Speaker 8>having such an issue with statisticians in Washington, DC because

0:26:31.359 --> 0:26:35.800
<v Speaker 8>so many of their seasonal analysis modeling is based off

0:26:35.800 --> 0:26:40.120
<v Speaker 8>of and includes the pre pandemic era. So the time

0:26:40.160 --> 0:26:42.040
<v Speaker 8>the dust settles are like, oh, wait, wait, now that

0:26:42.040 --> 0:26:44.960
<v Speaker 8>we've got everything in or maybe we've got the smallest

0:26:45.000 --> 0:26:48.480
<v Speaker 8>sample size in the history of say the non farm

0:26:48.480 --> 0:26:52.639
<v Speaker 8>payroll survey. Once we get all of the data in hand,

0:26:52.760 --> 0:26:54.639
<v Speaker 8>we were incorrect, We're going to go back and revise

0:26:54.680 --> 0:26:55.280
<v Speaker 8>that down.

0:26:55.920 --> 0:26:58.960
<v Speaker 2>That's a lot of Danielle. This makes your job difficult,

0:26:59.040 --> 0:27:01.840
<v Speaker 2>our job difficult, and the Fed's job even more difficult.

0:27:02.440 --> 0:27:05.479
<v Speaker 2>So we're now looking at a little over four cuts

0:27:05.520 --> 0:27:09.000
<v Speaker 2>priced in for this year. What do you think is legit,

0:27:09.200 --> 0:27:11.760
<v Speaker 2>particularly with all this uncertainty and revisions that you're talking about,

0:27:11.800 --> 0:27:12.680
<v Speaker 2>and when would it start.

0:27:14.040 --> 0:27:17.000
<v Speaker 8>Well, had it not been for the very strong tone

0:27:17.520 --> 0:27:22.000
<v Speaker 8>that Chair j. Powell voiced on sixty minutes last night,

0:27:22.200 --> 0:27:25.440
<v Speaker 8>I would be more in the camp of saying if

0:27:25.480 --> 0:27:28.239
<v Speaker 8>they do start to cut rates, they will do so

0:27:28.359 --> 0:27:32.280
<v Speaker 8>at every meeting beginning in May, so May, June, July,

0:27:32.840 --> 0:27:37.879
<v Speaker 8>and September. But Chair Powell seems so adamant in communicating

0:27:37.920 --> 0:27:41.879
<v Speaker 8>that he will be the apolitical FED chair. He will

0:27:41.920 --> 0:27:46.040
<v Speaker 8>be nonpartisan, he will not be viewed as being political.

0:27:46.080 --> 0:27:48.680
<v Speaker 8>In an election year, it's a toss up fifty to

0:27:48.720 --> 0:27:52.639
<v Speaker 8>fifty whether or not the Fed historically has cut rates

0:27:52.760 --> 0:27:56.400
<v Speaker 8>or raised rates. May taken any action in the FMC

0:27:56.520 --> 0:27:59.720
<v Speaker 8>that immediately precedes the election. That would be the September,

0:27:59.760 --> 0:28:03.639
<v Speaker 8>the eighth, eighteenth FOMC. I wouldn't be surprised to see

0:28:04.240 --> 0:28:07.919
<v Speaker 8>three rate cuts May, June, and July and then a pause.

0:28:09.040 --> 0:28:09.520
<v Speaker 6>Interesting.

0:28:09.720 --> 0:28:12.440
<v Speaker 5>So, from your perspective, Danielle, the data you look at,

0:28:12.480 --> 0:28:15.159
<v Speaker 5>which is not necessarily the data that lay people like

0:28:15.200 --> 0:28:16.960
<v Speaker 5>me look at, which is basically how much does it

0:28:17.000 --> 0:28:20.440
<v Speaker 5>cost to fill up my car with gas? Is inflation

0:28:20.520 --> 0:28:21.720
<v Speaker 5>whipped in this country or no?

0:28:23.520 --> 0:28:27.600
<v Speaker 8>You know, it's interesting you asked that question because recently

0:28:28.160 --> 0:28:32.320
<v Speaker 8>true inflation truflation, which a bunch of bond traders introduced

0:28:32.320 --> 0:28:34.600
<v Speaker 8>to me. They actually gave me the raw data. We

0:28:34.680 --> 0:28:36.960
<v Speaker 8>ran a quick correlation. It's got a point ninety seven

0:28:37.000 --> 0:28:42.160
<v Speaker 8>correlation with headline inflation, the headline CPI. Two times ago,

0:28:42.160 --> 0:28:45.760
<v Speaker 8>true inflation hopped down underneath the FEDS two percent target.

0:28:46.000 --> 0:28:48.160
<v Speaker 8>I said, well, what happened there? And it was mostly

0:28:48.240 --> 0:28:51.520
<v Speaker 8>led by hotels. It was one sector. Last week it

0:28:51.600 --> 0:28:56.040
<v Speaker 8>dropped down to one point four one point four percent YEP,

0:28:56.160 --> 0:28:58.040
<v Speaker 8>And so I reached out to the founders of trueflation,

0:28:58.120 --> 0:29:00.719
<v Speaker 8>I said, what gives what was that huge swing factor?

0:29:00.760 --> 0:29:02.360
<v Speaker 8>Did I miss it did I fill up at the

0:29:02.360 --> 0:29:05.080
<v Speaker 8>gas tank for a lot less and they said no, Danielle,

0:29:05.280 --> 0:29:10.920
<v Speaker 8>ten out of twelve categories had appreciably large declines, meaning

0:29:11.760 --> 0:29:15.880
<v Speaker 8>the disinflation that was a one off here or there

0:29:16.360 --> 0:29:19.800
<v Speaker 8>has become extremely widespread. If you've got ten out of

0:29:19.840 --> 0:29:23.720
<v Speaker 8>your twelve major categories more than three hundred million real

0:29:23.760 --> 0:29:28.240
<v Speaker 8>time prices feed this monster model per day, with again

0:29:28.280 --> 0:29:32.400
<v Speaker 8>a ninety seven percent correlation with headline CPI. I think

0:29:32.440 --> 0:29:38.239
<v Speaker 8>that Pal's bigger impediment going into the second half of

0:29:38.560 --> 0:29:42.120
<v Speaker 8>twenty twenty four might be larger rate cuts than he

0:29:42.320 --> 0:29:47.080
<v Speaker 8>anticipates or would like, if inflation's coming down as quickly

0:29:47.120 --> 0:29:47.520
<v Speaker 8>as it is.

0:29:47.600 --> 0:29:49.280
<v Speaker 5>All right, Danielle, thank you so much for joining us.

0:29:49.280 --> 0:29:52.480
<v Speaker 5>We always appreciate getting your input. Danielle di Martino Booth.

0:29:52.560 --> 0:29:56.320
<v Speaker 5>She's the CEO and chief strategist at QI Research, joining

0:29:56.360 --> 0:29:59.840
<v Speaker 5>us via Zoom from Big d Dallas, Texas. She was

0:29:59.880 --> 0:30:03.600
<v Speaker 5>on the Fed Dallas fed down there years past. A

0:30:03.680 --> 0:30:06.400
<v Speaker 5>great perspective there. We appreciate chatting with her.

0:30:07.960 --> 0:30:11.840
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:30:11.920 --> 0:30:15.440
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0:30:15.480 --> 0:30:18.240
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0:30:18.360 --> 0:30:21.480
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0:30:21.840 --> 0:30:25.560
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0:30:26.840 --> 0:30:31.000
<v Speaker 5>Just talk about the real company out there, Element Solutions.

0:30:31.000 --> 0:30:34.640
<v Speaker 5>Ben Glicklich joins us. He's the CEO of Element Solutions.

0:30:34.840 --> 0:30:37.120
<v Speaker 5>He joins us live here on our Bloomberg Interactive Broker Studio.

0:30:37.160 --> 0:30:40.200
<v Speaker 5>We appreciate you're based done in Fort Lauderdale in Miami.

0:30:40.480 --> 0:30:40.760
<v Speaker 1>Nice.

0:30:40.960 --> 0:30:41.600
<v Speaker 2>Why are you here?

0:30:41.880 --> 0:30:44.680
<v Speaker 6>Yeah, well in Miami because everybody's is it going crazy

0:30:44.680 --> 0:30:45.000
<v Speaker 6>down there?

0:30:45.000 --> 0:30:45.320
<v Speaker 4>What is it?

0:30:45.320 --> 0:30:47.040
<v Speaker 6>I mean, is it just nuts with all these people

0:30:47.040 --> 0:30:47.520
<v Speaker 6>coming down.

0:30:47.640 --> 0:30:48.640
<v Speaker 9>There's a ton of energy.

0:30:48.680 --> 0:30:50.480
<v Speaker 6>It's a great place to live and work.

0:30:51.280 --> 0:30:53.200
<v Speaker 9>For better or worse. I'm on the road three months,

0:30:53.400 --> 0:30:55.360
<v Speaker 9>three weeks out of the month because the business is

0:30:55.400 --> 0:30:55.920
<v Speaker 9>very global.

0:30:56.120 --> 0:30:57.920
<v Speaker 2>Just for background. Paul wants to be there, like he

0:30:57.960 --> 0:30:59.440
<v Speaker 2>wants to move to Florida. He wants to do the

0:30:59.440 --> 0:30:59.960
<v Speaker 2>show from there.

0:31:00.080 --> 0:31:02.760
<v Speaker 6>Exactly. I talked to us about Elements Solutions. I know

0:31:03.080 --> 0:31:05.600
<v Speaker 6>you guys are in. Just tell us about your company,

0:31:05.640 --> 0:31:07.520
<v Speaker 6>what you do, and then we'll go from there.

0:31:07.600 --> 0:31:07.920
<v Speaker 4>Great. So.

0:31:07.960 --> 0:31:11.200
<v Speaker 9>Element Solutions is a provider of chemical technology that enables

0:31:11.280 --> 0:31:15.520
<v Speaker 9>high performance applications so our materials and process solutions are

0:31:15.600 --> 0:31:19.360
<v Speaker 9>used in manufacturing high value products from semiconductors to smartphones

0:31:19.600 --> 0:31:21.000
<v Speaker 9>to high performance autom So.

0:31:21.040 --> 0:31:23.840
<v Speaker 5>Your customers are technology companies primarily.

0:31:23.480 --> 0:31:27.160
<v Speaker 9>So our customers are technology supply chains. Technology supply we're

0:31:27.560 --> 0:31:31.360
<v Speaker 9>we're selling to printed circuit board manufacturers, semiconductor manufacturers, it's

0:31:31.520 --> 0:31:34.880
<v Speaker 9>very fragmented below the original equipment manufacturers that make the

0:31:34.880 --> 0:31:38.040
<v Speaker 9>smartphones in the cars. So we're a critical enabler of

0:31:38.080 --> 0:31:40.640
<v Speaker 9>their technologies, but we're not selling directly to them.

0:31:40.680 --> 0:31:44.000
<v Speaker 2>So you're not making like plastic for the end user

0:31:44.120 --> 0:31:46.080
<v Speaker 2>kind of thing either, because usually, like what I love

0:31:46.120 --> 0:31:49.440
<v Speaker 2>about chemicals is that is that really closed early cycle

0:31:49.520 --> 0:31:51.840
<v Speaker 2>read on the global economy, right, like what air Products

0:31:51.840 --> 0:31:54.400
<v Speaker 2>is doing when relationship telling me about China, that's not you, guys.

0:31:54.760 --> 0:32:00.520
<v Speaker 9>So we're selling critical components that enable performance of high

0:32:00.640 --> 0:32:04.440
<v Speaker 9>value products. So we do have a read on what

0:32:04.520 --> 0:32:07.600
<v Speaker 9>the next generation smartphone is going to look like. We

0:32:07.680 --> 0:32:10.840
<v Speaker 9>have a read on trends in automotive and other electronics

0:32:10.880 --> 0:32:11.480
<v Speaker 9>and markets.

0:32:11.640 --> 0:32:14.760
<v Speaker 6>How did you find yourself to this business. It's a

0:32:14.800 --> 0:32:16.760
<v Speaker 6>fantastic business.

0:32:17.160 --> 0:32:18.680
<v Speaker 5>I'll take your word for it, but I mean it's

0:32:18.720 --> 0:32:20.640
<v Speaker 5>not something I would have thought about just off.

0:32:20.960 --> 0:32:23.480
<v Speaker 6>You have to been dropped in there somehow.

0:32:23.240 --> 0:32:26.400
<v Speaker 9>So better lucky than good, I would say. I partnered

0:32:26.440 --> 0:32:29.760
<v Speaker 9>with our chairman, Sir Martin Franklin, who's been very successful

0:32:29.800 --> 0:32:33.880
<v Speaker 9>building multiple different businesses, and together through acquisitions, we've built

0:32:33.880 --> 0:32:36.480
<v Speaker 9>this portfolio of market leading companies.

0:32:36.480 --> 0:32:40.320
<v Speaker 5>Doesn't when I think chemical company, I don't think South Beach, true,

0:32:40.400 --> 0:32:43.480
<v Speaker 5>I think like Cleveland, What are you doing in South Beach?

0:32:43.640 --> 0:32:43.880
<v Speaker 7>Not that?

0:32:44.000 --> 0:32:46.440
<v Speaker 6>Or Miami? What's no reason not to be there? Everybody

0:32:46.440 --> 0:32:46.840
<v Speaker 6>else is.

0:32:47.640 --> 0:32:51.120
<v Speaker 9>So we are there because it's as good of a

0:32:51.120 --> 0:32:53.920
<v Speaker 9>place as any, and our business is very dispersed. We

0:32:53.960 --> 0:32:56.440
<v Speaker 9>have one hundred and sixty locations in over thirty countries,

0:32:56.760 --> 0:32:59.760
<v Speaker 9>more than sixty manufacturing sites, and so my job is

0:32:59.800 --> 0:33:01.400
<v Speaker 9>to make sure that our folks are working on the

0:33:01.440 --> 0:33:04.800
<v Speaker 9>right things with the right incentives. And so I'm traveling

0:33:04.920 --> 0:33:07.680
<v Speaker 9>as chief cheerleader to visit our people all over the

0:33:07.720 --> 0:33:10.959
<v Speaker 9>world most of my time, and coming home to Florida

0:33:11.000 --> 0:33:11.480
<v Speaker 9>is in such.

0:33:11.320 --> 0:33:12.160
<v Speaker 6>A bet that's not a bad thing.

0:33:12.200 --> 0:33:14.959
<v Speaker 5>And so public and traded company EESI is the ticker

0:33:15.960 --> 0:33:18.200
<v Speaker 5>for those playing at home, it's up. I guess it's

0:33:18.240 --> 0:33:20.160
<v Speaker 5>got a market cap about five and a quarter billion,

0:33:20.200 --> 0:33:23.280
<v Speaker 5>dollars on a trailing twelve month basis up at about two percent,

0:33:23.400 --> 0:33:25.280
<v Speaker 5>and you're to date off about six percent. What's the

0:33:25.400 --> 0:33:27.840
<v Speaker 5>message you bring to your shareholders? You're in New York,

0:33:27.840 --> 0:33:30.040
<v Speaker 5>I'm sure you're seeing some shareholders as well. What's the

0:33:30.160 --> 0:33:31.760
<v Speaker 5>message for your company?

0:33:32.240 --> 0:33:35.920
<v Speaker 9>So this business has come off of a difficult demand

0:33:35.960 --> 0:33:39.760
<v Speaker 9>environment in twenty twenty three, Electronics markets drew down significantly,

0:33:40.160 --> 0:33:44.400
<v Speaker 9>the global industrial economy stuttered a little bit. And as

0:33:44.400 --> 0:33:47.440
<v Speaker 9>we enter twenty twenty four, we manage twenty three well,

0:33:47.560 --> 0:33:51.680
<v Speaker 9>preserve profits, made some great capital allocation decisions to position

0:33:51.720 --> 0:33:53.560
<v Speaker 9>the business well for growth, and our end markets are

0:33:53.600 --> 0:33:56.920
<v Speaker 9>getting better. Semiconductor markets are improving, Electronics markets are improving,

0:33:57.200 --> 0:34:00.200
<v Speaker 9>So we're well positioned for you know, several years here

0:34:00.520 --> 0:34:03.479
<v Speaker 9>of above cycle above cycle average growth.

0:34:04.240 --> 0:34:06.360
<v Speaker 2>Is that an inventory thing or is it an end

0:34:06.440 --> 0:34:09.399
<v Speaker 2>user demand thing? I mean just restocking inventory At this point.

0:34:09.160 --> 0:34:10.680
<v Speaker 6>It's an end user demand thing.

0:34:11.360 --> 0:34:14.720
<v Speaker 9>We did have a drawdown of channel inventories post COVID.

0:34:14.760 --> 0:34:18.040
<v Speaker 9>There was a bullwhip effect. Electronics were overbought by the

0:34:18.040 --> 0:34:20.359
<v Speaker 9>supply chain in twenty twenty one into twenty twenty two.

0:34:20.880 --> 0:34:23.520
<v Speaker 9>There was a big inventory clearance in twenty twenty three,

0:34:23.800 --> 0:34:27.279
<v Speaker 9>and now we're starting to see semiconductor production increase. We're

0:34:27.280 --> 0:34:31.280
<v Speaker 9>starting to see new smartphone models gaining traction. Our story

0:34:31.320 --> 0:34:34.040
<v Speaker 9>is not just one of units, it's content per unit,

0:34:34.080 --> 0:34:37.600
<v Speaker 9>and so the more technically challenging, the more robust the application,

0:34:37.640 --> 0:34:40.160
<v Speaker 9>the more value for a company like ours. And so

0:34:40.360 --> 0:34:43.480
<v Speaker 9>we're going to grow over and above units through the cycle,

0:34:44.239 --> 0:34:46.640
<v Speaker 9>and unit growth is poised to recover nicely here.

0:34:46.719 --> 0:34:49.320
<v Speaker 5>So I'm just looking at the FA function on the

0:34:49.360 --> 0:34:51.799
<v Speaker 5>Bloomberg terminal financial analysis. It looks like the street's got

0:34:51.880 --> 0:34:54.040
<v Speaker 5>kind of mid single digit kind of revenue growth over

0:34:54.040 --> 0:34:56.800
<v Speaker 5>the next several years, mid teens EPs growth. So it

0:34:56.800 --> 0:35:00.279
<v Speaker 5>some operating leverage in your business model? Is is that

0:35:00.320 --> 0:35:03.000
<v Speaker 5>what you're telling investors to buy or do you also say, hey,

0:35:03.160 --> 0:35:05.160
<v Speaker 5>this is also a fragmented business and if we see

0:35:05.160 --> 0:35:08.040
<v Speaker 5>things out there to buy to maybe goose our growth rate,

0:35:08.040 --> 0:35:09.000
<v Speaker 5>we'll do that.

0:35:09.040 --> 0:35:09.799
<v Speaker 6>How do you think about that?

0:35:09.880 --> 0:35:12.680
<v Speaker 9>So the answer is yes, in the first instance, the

0:35:12.680 --> 0:35:15.799
<v Speaker 9>business's asset light. It generates incredibly strong cash flows. So

0:35:15.880 --> 0:35:20.800
<v Speaker 9>our moat isn't in manufacturing process, it's in technology and people,

0:35:21.040 --> 0:35:22.440
<v Speaker 9>and so we don't have to invest a lot of

0:35:22.480 --> 0:35:24.799
<v Speaker 9>capital in order to drive the business's growth, and then

0:35:24.800 --> 0:35:27.040
<v Speaker 9>we're able to find very interesting things to do with

0:35:27.040 --> 0:35:29.279
<v Speaker 9>that strong cash flow. So we've been very inquisitive in

0:35:29.320 --> 0:35:32.560
<v Speaker 9>our history, and we doubled our adjuster learnings per share

0:35:32.600 --> 0:35:34.200
<v Speaker 9>in our first three years as a public company. We

0:35:34.200 --> 0:35:35.840
<v Speaker 9>set a goal to do that in five years. We

0:35:35.880 --> 0:35:37.799
<v Speaker 9>set another goal to double it again in five years,

0:35:37.800 --> 0:35:39.480
<v Speaker 9>and we're in the middle of that process right now.

0:35:39.520 --> 0:35:42.680
<v Speaker 9>The goal is to compound EPs in the teens.

0:35:42.880 --> 0:35:46.239
<v Speaker 2>So what about the what about the input side? Like

0:35:46.280 --> 0:35:48.799
<v Speaker 2>it sounds like you're trying to run pretty lean, but

0:35:48.880 --> 0:35:51.719
<v Speaker 2>we still definitely see inflation kind of all around. Any

0:35:51.760 --> 0:35:53.759
<v Speaker 2>kind of manufacturing is going to get hit by that.

0:35:53.800 --> 0:35:55.960
<v Speaker 2>And I appreciate that you're sort of on a different scale,

0:35:56.239 --> 0:35:57.080
<v Speaker 2>But what do you see.

0:35:57.360 --> 0:36:00.560
<v Speaker 9>So we've had inflation over the past several years, started

0:36:00.600 --> 0:36:05.560
<v Speaker 9>to stem big inflation, and logitition copper to stop a

0:36:05.560 --> 0:36:08.760
<v Speaker 9>little bit of both. So logistics have plateaued. They're starting

0:36:08.800 --> 0:36:10.160
<v Speaker 9>to come in a little bit. But with some of

0:36:10.160 --> 0:36:12.359
<v Speaker 9>the disruptions in global supply chains, we're starting to see

0:36:12.360 --> 0:36:15.759
<v Speaker 9>a bit of pressure there. Raw material price inflation has

0:36:15.960 --> 0:36:19.120
<v Speaker 9>slowed down. We're starting actually to see some deflation. As

0:36:19.160 --> 0:36:22.160
<v Speaker 9>a company we're able to take price from customers when

0:36:22.160 --> 0:36:26.640
<v Speaker 9>our costs increase and typically able to hold that and

0:36:26.680 --> 0:36:28.920
<v Speaker 9>so margins have gotten better in the back half of

0:36:28.960 --> 0:36:30.800
<v Speaker 9>twenty twenty three and we expect that to continue in

0:36:30.840 --> 0:36:31.520
<v Speaker 9>twenty twenty four.

0:36:32.400 --> 0:36:36.680
<v Speaker 5>So you recently acquired a company, a new science, a

0:36:36.719 --> 0:36:38.520
<v Speaker 5>new copper science company.

0:36:38.640 --> 0:36:39.160
<v Speaker 6>What is that?

0:36:39.560 --> 0:36:43.080
<v Speaker 9>So this is a really exciting opportunity. There aren't big

0:36:43.120 --> 0:36:46.799
<v Speaker 9>step change breakthroughs in material science in our markets. What

0:36:47.040 --> 0:36:50.640
<v Speaker 9>used to work typically works with small modifications. Okay, we

0:36:50.680 --> 0:36:53.040
<v Speaker 9>acquired a business called Couprion that has a product called

0:36:53.120 --> 0:36:56.880
<v Speaker 9>active copper, which is nano particular copper. That is a

0:36:57.000 --> 0:37:01.680
<v Speaker 9>new mechanism to enable next generation electronics. If you think

0:37:01.719 --> 0:37:04.839
<v Speaker 9>about your smartphone, it's computing power is getting greater through

0:37:04.880 --> 0:37:08.200
<v Speaker 9>smaller lines on the circuit board and smaller holes connecting

0:37:08.239 --> 0:37:11.120
<v Speaker 9>the layers of the circuit board, and conventional material science

0:37:11.120 --> 0:37:16.080
<v Speaker 9>struggles to deal with those technical challenges. Coupriyon is a

0:37:16.080 --> 0:37:19.600
<v Speaker 9>solution for that. So it's got huge potential. We've got

0:37:19.680 --> 0:37:23.200
<v Speaker 9>great customer engagement. It's a very very exciting story, not

0:37:23.280 --> 0:37:24.920
<v Speaker 9>just for our company, but for our customers.

0:37:25.680 --> 0:37:29.759
<v Speaker 2>In a broader sense. The smartphone trough like the electronics

0:37:29.760 --> 0:37:31.600
<v Speaker 2>trough you were mentioning, sort of we had a lot

0:37:31.600 --> 0:37:33.800
<v Speaker 2>of buying and then that came down during the pandemic.

0:37:33.840 --> 0:37:35.759
<v Speaker 2>Now and then we're sort of have we troughed? Are

0:37:35.760 --> 0:37:38.560
<v Speaker 2>we going to see a meaningful acceleration over the next say,

0:37:38.600 --> 0:37:41.640
<v Speaker 2>eighteen months? So yeah, cause it is Paul going to

0:37:41.640 --> 0:37:45.200
<v Speaker 2>buy a new phone. That's twelve physicists, I'm an eleven. Yeah,

0:37:45.719 --> 0:37:48.520
<v Speaker 2>it's fine, okay, so speak to me about.

0:37:48.600 --> 0:37:53.200
<v Speaker 9>Yeah, there's so the smartphone mark we call the bottom

0:37:53.239 --> 0:37:56.200
<v Speaker 9>in broader electronics in the second quarter, and we saw

0:37:56.320 --> 0:37:59.480
<v Speaker 9>recovery in the back half. The slope of that recovery

0:37:59.520 --> 0:38:04.240
<v Speaker 9>is uncertain, but the long term legs of increased technical

0:38:04.239 --> 0:38:08.400
<v Speaker 9>requirements for electronics are very very long running, and the

0:38:08.400 --> 0:38:12.120
<v Speaker 9>smartphone replacement cycle has extended, and smartphone saturation of the

0:38:12.160 --> 0:38:15.960
<v Speaker 9>market is getting there. We troth from a unit's perspective,

0:38:16.000 --> 0:38:17.839
<v Speaker 9>in twenty twenty three, we'll see unit growth in twenty

0:38:17.840 --> 0:38:20.319
<v Speaker 9>twenty four, we expect that, but we're starting to gear

0:38:20.400 --> 0:38:20.640
<v Speaker 9>up for.

0:38:20.600 --> 0:38:21.040
<v Speaker 6>The next thing.

0:38:21.080 --> 0:38:24.160
<v Speaker 9>The next thing is enabled by AI, right, so more

0:38:24.160 --> 0:38:27.279
<v Speaker 9>computing power proliferating around the edge of the network has

0:38:27.560 --> 0:38:33.360
<v Speaker 9>very very high technical demands and We're not capacitated by

0:38:33.520 --> 0:38:36.520
<v Speaker 9>the number of people on Earth when it comes to AI, right,

0:38:36.560 --> 0:38:38.360
<v Speaker 9>the number of smartphones is kind of driven by the

0:38:38.440 --> 0:38:42.320
<v Speaker 9>number of people walking around AI. You know, Industrial automation

0:38:42.480 --> 0:38:45.799
<v Speaker 9>is not capped by that, and as we get autonomous

0:38:45.840 --> 0:38:49.560
<v Speaker 9>factories and autonomous cars, there's just more and more application

0:38:49.760 --> 0:38:52.840
<v Speaker 9>space for high performance electronics, which is great for our company.

0:38:53.200 --> 0:38:54.520
<v Speaker 6>Thirty seconds, who you compete with?

0:38:55.200 --> 0:39:00.960
<v Speaker 9>We've got great competitors, but diverse competitors. We're the only

0:39:01.000 --> 0:39:03.400
<v Speaker 9>company in our market that can speak to the breadth

0:39:03.480 --> 0:39:07.120
<v Speaker 9>of electronics applications that that we have in our portfolio.

0:39:07.280 --> 0:39:09.160
<v Speaker 9>So we compete a bit with DuPont. We compete with

0:39:09.160 --> 0:39:11.839
<v Speaker 9>a company called at Tech that's part of MKAS Group.

0:39:12.040 --> 0:39:14.760
<v Speaker 9>We've got local competitors and markets like Japan and China.

0:39:15.760 --> 0:39:19.200
<v Speaker 9>It's a competitive market, but our ability to provide value

0:39:19.239 --> 0:39:23.759
<v Speaker 9>to customers through materials compatibility and a broad product offering

0:39:23.840 --> 0:39:24.520
<v Speaker 9>is unrivaled.

0:39:24.680 --> 0:39:26.399
<v Speaker 6>See I was trying to figure out how he got

0:39:26.400 --> 0:39:29.560
<v Speaker 6>to where he is now. I figured it out and

0:39:29.880 --> 0:39:32.239
<v Speaker 6>investment banking to private equity. Then he says, screw this,

0:39:32.280 --> 0:39:33.759
<v Speaker 6>I'm going to go and do it myself.

0:39:34.040 --> 0:39:36.040
<v Speaker 5>And he went to like a real industry and get

0:39:36.040 --> 0:39:37.600
<v Speaker 5>a real job that makes stuff.

0:39:37.640 --> 0:39:39.959
<v Speaker 6>I've seen that route before. A lot of success.

0:39:39.840 --> 0:39:41.319
<v Speaker 2>Industry is really fun.

0:39:41.400 --> 0:39:43.239
<v Speaker 6>Yeah, really like I'm not just going to bank these people.

0:39:43.280 --> 0:39:44.080
<v Speaker 6>I'm gonna go do it.

0:39:44.239 --> 0:39:48.200
<v Speaker 5>Ben Glicklich, CEO of Element Solutions, appreciate you coming in

0:39:48.239 --> 0:39:51.120
<v Speaker 5>here into our studio. It's a fascinating company. Never would

0:39:51.160 --> 0:39:53.880
<v Speaker 5>have thought about it. I learned something new today Element Solutions.

0:39:53.880 --> 0:39:55.640
<v Speaker 5>You need all the chemical stuff for the tech and

0:39:55.640 --> 0:39:56.600
<v Speaker 5>the chips and all that kind.

0:39:56.520 --> 0:39:58.640
<v Speaker 6>Of stuff, and there are people that do that for

0:39:58.680 --> 0:39:59.879
<v Speaker 6>a living. That's good.

0:40:00.120 --> 0:40:00.279
<v Speaker 4>Up.

0:40:00.719 --> 0:40:05.239
<v Speaker 1>This is the Bloomberg Intelligence Podcast, available on Apples, Spotify,

0:40:05.440 --> 0:40:08.640
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0:40:08.680 --> 0:40:12.080
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0:40:12.160 --> 0:40:15.560
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