WEBVTT - Bloomberg Intelligence: Deere Cuts Profit Outlook, U.S Retail Sales Drop

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<v Speaker 3>Let's get a beat on how the US farmer's doing here,

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<v Speaker 3>and we can do that through Deer. Deer is a

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<v Speaker 3>company obviously we all know and love, and their customers

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<v Speaker 3>buy and large are farmers, and Deer reports some numbers

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<v Speaker 3>a little bit disappointing here. Chris Chiolino joins us. He

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<v Speaker 3>covers all the big ag and machinery companies for Bloomberg Intelligences,

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<v Speaker 3>based down in Princeton, New Jersey. Chris, how did Deer

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<v Speaker 3>do this quarter and what's their outlook?

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<v Speaker 4>The quarter was great, really much better than we anticipated

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<v Speaker 4>across the board, beats both top line and margins for

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<v Speaker 4>most of the businesses. But the outlook was the disappointment

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<v Speaker 4>of the quarter. They cut net income guidance by about

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<v Speaker 4>five percent, and that's largely reflective of incremental weakness in

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<v Speaker 4>the ag business, specifically the large jag business. And there's

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<v Speaker 4>really two components to that one europe Deer now plans

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<v Speaker 4>to underproduce production, underproduce retail demand due to some weakness

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<v Speaker 4>in Central and Eastern Europe given the conflict there, So

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<v Speaker 4>they're going to try to bring down inventories.

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<v Speaker 5>They're already under producing in Brazil as well.

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<v Speaker 4>And then the second component of the cut was really

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<v Speaker 4>some additional softness beginning to transpire here in North America.

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<v Speaker 4>We saw some of the order velocity start to moderate,

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<v Speaker 4>So demand seems to kind of be trending towards the

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<v Speaker 4>low end of their down ten to fifteen percent industry outlook.

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<v Speaker 5>When it comes to lar jag equipment.

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<v Speaker 6>Yeah, let's get through some of these here. Production precision

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<v Speaker 6>ag net sales for their yearly forecast, they're looking down

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<v Speaker 6>twenty percent worse, and estimated construction and forestry net sales

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<v Speaker 6>down five to ten percent, bag and turfnut sales down

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<v Speaker 6>ten to fifteen percent. Yiki, is this a early cycle,

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<v Speaker 6>mid cycle or late cycle read on the economy.

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<v Speaker 4>I mean we're we're early in an ag downturn. Last

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<v Speaker 4>year was a peak production levels. You know, historically you

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<v Speaker 4>don't have one year downturn, so I would suspect this

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<v Speaker 4>is kind of the beginning of a multi year downturn,

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<v Speaker 4>and some of the numbers that you're seeing that your

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<v Speaker 4>reference on their guidance are well below you know, market

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<v Speaker 4>retail demand expectations, suggesting that you know, they have some

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<v Speaker 4>more work to do on bringing down inventory levels to

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<v Speaker 4>more manageable levels, with really the goal of setting up

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<v Speaker 4>production for twenty five in line with retail demand.

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<v Speaker 3>All right, So if John Tucker goes on too a

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<v Speaker 3>lot to get you know, maybe a backo for his

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<v Speaker 3>estate in the Jersey Shore, he can get one, right,

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<v Speaker 3>There's plenty of there on the lot. Can can he

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<v Speaker 3>get some? Can he get a deal?

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<v Speaker 4>There's no shortage of tractors and equipment on the lot.

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<v Speaker 4>You could get new, you could get used, kind of

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<v Speaker 4>take your pick. Values continue to kind of come down

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<v Speaker 4>here over the last twelve months, and I suspect you'll

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<v Speaker 4>see further pressure on the US side new equipment pricing,

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<v Speaker 4>you know, deers kind of guiding to one and a

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<v Speaker 4>half percent, which is kind of below historical averages. And

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<v Speaker 4>remember we're coming off of you know, three years of

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<v Speaker 4>really strong phenomenal pricing. So returning to I would say

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<v Speaker 4>below normal historical trend, which will also be a drag

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<v Speaker 4>on margins.

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<v Speaker 6>Caterpillar had a different kind of read, and I appreciate

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<v Speaker 6>they also do metals and mining and stuff. So is

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<v Speaker 6>it going to be the diversified players that are going

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<v Speaker 6>to really win on this?

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<v Speaker 4>Yeah, So, I you know, constructions holding up certainly better

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<v Speaker 4>than the farmer and then the ag economy a couple

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<v Speaker 4>of different moving pieces there. I mean, you still have

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<v Speaker 4>a tremendous amount of infrastructure related funds and government stimulus

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<v Speaker 4>coming through the system that will not only be kind

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<v Speaker 4>of a tail wind here in twenty four, but even

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<v Speaker 4>twenty five. I've been twenty six, so I think that

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<v Speaker 4>certainly helps offset some of the cyclical headwinds facing both.

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<v Speaker 5>The resie or non residential markets.

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<v Speaker 4>But if you look at the farm economy almost kind

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<v Speaker 4>of a completely different story. You look at crop prices,

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<v Speaker 4>which are ultimately the biggest driver of farm income and

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<v Speaker 4>equipment purchases. Corn soy weeat down you know, twenty five

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<v Speaker 4>thirty five percent plus, So that's beginning to trickle through

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<v Speaker 4>to farm incomes. Farmer incomes are going to be down

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<v Speaker 4>twenty six percent this year, and I suspect we'll be

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<v Speaker 4>under further pressure as we exit the year too, all.

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<v Speaker 3>Right, Chris Gielino, thank you so much. We appreciate that.

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<v Speaker 3>Chris Chilino. He covers all the big ag and construction,

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<v Speaker 3>all those really cool companies that are industrial America. Again,

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<v Speaker 3>our good friends of Deer had a good quarter. As

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<v Speaker 3>Chris said, bro their guidance weaker than expected, and I

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<v Speaker 3>guess with farmer incomes down so much. That makes a

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<v Speaker 3>lot of sense because they don't have money in the pocket,

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<v Speaker 3>they can't go out and buy new tractors and stuff

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<v Speaker 3>like that.

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<v Speaker 2>You're listening to the Bloomberg Intelligence Podcast. We'll catch us

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<v Speaker 3>Let's go to a plet a discussion about retail sales.

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<v Speaker 3>What we might We saw the government numbers come out

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<v Speaker 3>for the month of January weeker than expected. I don't

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<v Speaker 3>know how much of that is seasonal versus, you know,

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<v Speaker 3>kind of something more substantial. But our next guest does,

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<v Speaker 3>Mary Shore is a senior equity analysts at Colombia thread

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<v Speaker 3>Needle Investments joining us via zoom from Boston, mass So, Marie,

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<v Speaker 3>what what do you make of the you know, retail

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<v Speaker 3>sales numbers we had today? How concerned should we be?

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<v Speaker 7>Yeah, it's a great question.

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<v Speaker 1>When I look at the pretty significant slowdown that we

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<v Speaker 1>saw in January, I think it really reflects two things.

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<v Speaker 1>Number one, unfavorable lab which is transitory, but also the

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<v Speaker 1>shift back to the pre holiday trend. So when I

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<v Speaker 1>really dig through the data, I see a continuation of

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<v Speaker 1>three themes that we really discussed throughout last year, which

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<v Speaker 1>is the consumer stretched and continues to spend more on

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<v Speaker 1>services over goods and within goods on needs over once.

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<v Speaker 1>We also continue to see weak demand in categories that

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<v Speaker 1>were strong during the pandemic, like home and sporting goods

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<v Speaker 1>and electronics. And then the third theme is e commerce

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<v Speaker 1>taking backshare from the stores. So I kind of look

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<v Speaker 1>at this report and say, it's really more of the

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<v Speaker 1>same as to what we saw throughout twenty twenty three.

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<v Speaker 6>So if we go to the needs over once and

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<v Speaker 6>spending on services, when we start to get the retailers reporting,

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<v Speaker 6>how do we read that dynamic into those retailers.

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<v Speaker 1>Yeah, it's a great question. It's really going to vary

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<v Speaker 1>by categories. So I think we're going to see continued

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<v Speaker 1>growth in categories like food and health and wellness and wellness.

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<v Speaker 1>I would also include in there some of the active

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<v Speaker 1>wear brands like a Lulu Lemon for instance, in some

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<v Speaker 1>of the athletic footwear brands, and then again continued weakness

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<v Speaker 1>in categories like home electronics, sporting goods, and I would

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<v Speaker 1>say kind of flatish results in apparel. The problem is

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<v Speaker 1>that a lot of those latter categories tend to be

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<v Speaker 1>the higher margin category, so they are weighing on the

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<v Speaker 1>top line but also weighing on margin.

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<v Speaker 3>All right, I'm asking on behalf of Alex here talk

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<v Speaker 3>to us about the luxury end of the market. That's

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<v Speaker 3>where she plays. What are we seeing there?

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<v Speaker 1>Yeah, we're still seeing pretty weak results from the luxury

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<v Speaker 1>players really globally speaking, of course, there's things happening in China,

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<v Speaker 1>but also in North American Europe. They're talking more about

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<v Speaker 1>macro pressures, and I think what's happening is that luxury

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<v Speaker 1>consumer spending more on services like travel, and some of

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<v Speaker 1>the luxury players that have more exposure to what I

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<v Speaker 1>would call the aspirational luxury category. So maybe the kind

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<v Speaker 1>of mid tier consumers that were stretching to buy some

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<v Speaker 1>of those higher price goods. You know, that consumer has

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<v Speaker 1>really slowed, and so any luxury player with greater exposure

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<v Speaker 1>to that kind of aspirational luxury part of the category,

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<v Speaker 1>I think is feeling the pressure more than some of

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<v Speaker 1>like the true luxury players, like I would say in

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<v Speaker 1>our Mes or Chanelle, those are the brands that seem

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<v Speaker 1>to be holding.

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<v Speaker 8>Up the best.

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<v Speaker 6>Yeah, their mez story is just amazing. Okay, just to

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<v Speaker 6>be clear on myself, I don't do luxury. I only

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<v Speaker 6>do sales. Okay, I like luxury on sale, but I

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<v Speaker 6>like that the like out in it, that kind of stuff.

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<v Speaker 6>This means nothing to the guys in the studio right now.

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<v Speaker 9>How many pairs of shoes do you have?

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<v Speaker 3>Let's star A nice question.

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<v Speaker 6>Oh, I know, I actually can do this from my

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<v Speaker 6>old team. I don't think it's as many as you

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<v Speaker 6>think it is. I think it's like maybe thirty.

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<v Speaker 9>What, wow, I have two.

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<v Speaker 7>Okay, Mari back me up.

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<v Speaker 6>Thirty is like a very reasonable amount. But I asked

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<v Speaker 6>this because we only see a lot of sales when

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<v Speaker 6>you got to get the inventory out the door. Am

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<v Speaker 6>I going to be a happy consumer? Or am I

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<v Speaker 6>going to be a sad consumer?

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<v Speaker 7>This year? Yeah?

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<v Speaker 1>Again, it really varies by category and brand, but I

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<v Speaker 1>would say overall, the inventory this year was in a

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<v Speaker 1>much better place than what we saw last year when

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<v Speaker 1>demand really first started to slow and all of the

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<v Speaker 1>companies found themselves sitting on access goods. I would say

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<v Speaker 1>as we moved into twenty twenty three, the inventory was

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<v Speaker 1>better controlled. So when you looked at a lot of

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<v Speaker 1>the company's results, the gross margin rate was actually stronger

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<v Speaker 1>than a lot of investors were expecting. Part of that was,

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<v Speaker 1>you know, lower promotions, lower markdowns.

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<v Speaker 7>Than what we saw the prior year.

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<v Speaker 1>So as we moved the the holiday, I would say

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<v Speaker 1>most of the promotions we saw I would classify as

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<v Speaker 1>in line with plan. I don't think we saw super

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<v Speaker 1>aggressive promotions, and that really reflects the fact that most

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<v Speaker 1>of the brands and retailers are sitting on pretty lean

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<v Speaker 1>inventories right now and continue to manage their inventory very conservatively,

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<v Speaker 1>just given the week demand backdrop.

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<v Speaker 3>This is said for me exactly, So Mari, how about

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<v Speaker 3>like it's some of the dollar stores for example. I'm

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<v Speaker 3>not sure how that really works out. Do they benefit

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<v Speaker 3>when times get a little tough because maybe people trade

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<v Speaker 3>down to the dollar stores order their typical customers, they

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<v Speaker 3>feel it more acutely, How do they play these days?

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<v Speaker 7>Yeah, it's a great question.

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<v Speaker 1>Typically you see both happening simultaneously, right, so you would

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<v Speaker 1>see their core customer come under pressure, but that be

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<v Speaker 1>off set by the more kind of mill income consumer

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<v Speaker 1>trading down into those discount formats, whether it be dollar

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<v Speaker 1>stores or even some of the off pricers like Burlington

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<v Speaker 1>and Ross that cater to a lower income consumer. I

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<v Speaker 1>think this cycle we saw kind of a delayed trade

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<v Speaker 1>down from the middle income consumer, but as we kind

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<v Speaker 1>of moved through Q four and into this year, I

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<v Speaker 1>think that should be more pronounced and really help some

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<v Speaker 1>of those discount formats. I also think what's happening with

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<v Speaker 1>the dollar stores you've seen Walmart, I think take a

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<v Speaker 1>lot of share, right. You can see it in their

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<v Speaker 1>results when you compare Walmart to know the family Dollar business,

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<v Speaker 1>which is owned by Dollar Tree and Dollar General. So

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<v Speaker 1>I think you have a lot of things happening at

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<v Speaker 1>the same time, but overall, a weaker macro backdrop should

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<v Speaker 1>be a positive for those discount formats.

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<v Speaker 6>Also, it's weird. It's like dollar stores are no longer

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<v Speaker 6>really dollar stores, Like they're like five dollars stores and

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<v Speaker 6>their inventory is like horrific, I mean in some of them.

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<v Speaker 7>Yeah yeah, I saw. Sorry, go ahead, Oh no, go ahead.

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<v Speaker 6>I was gonna say, like, going in one, you're like,

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<v Speaker 6>this is like scrape and bottom of the barrel of inventory,

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<v Speaker 6>like it is. It is not a pretty shelf site.

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<v Speaker 7>Yeah.

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<v Speaker 2>Yeah.

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<v Speaker 1>I think a lot of the dollar stores have kind

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<v Speaker 1>of struggled with the store standards and the service levels

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<v Speaker 1>to that point, and both Dollar Tree and Dollar General

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<v Speaker 1>have talked about investing in vetter, inventory management systems, more

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<v Speaker 1>labor in the stores to help improve the store shopping experience.

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<v Speaker 3>All right, Marie, thanks so much for joining us. Marie Shore,

0:12:30.920 --> 0:12:34.360
<v Speaker 3>senior equity analysts at Columbia thread Needle Investments, joining us

0:12:34.400 --> 0:12:39.760
<v Speaker 3>via zoom from Boston, Massachusetts. Thread Needle, originally a London based,

0:12:39.920 --> 0:12:43.000
<v Speaker 3>UK based investment firm, announced Columbia Thread Needle because they

0:12:43.040 --> 0:12:44.079
<v Speaker 3>were required by COMBIA.

0:12:44.559 --> 0:12:46.679
<v Speaker 6>They have great, great analysts.

0:12:46.280 --> 0:12:47.920
<v Speaker 3>They do. They're very good at best.

0:12:47.840 --> 0:12:49.319
<v Speaker 6>Yep, you know Bloomberg Intelligence.

0:12:49.520 --> 0:12:50.400
<v Speaker 3>Yea, all good.

0:12:50.440 --> 0:12:51.080
<v Speaker 6>Let's put it there.

0:12:51.080 --> 0:12:53.040
<v Speaker 3>All good, all good, Yeah, but good read on the

0:12:53.040 --> 0:12:55.959
<v Speaker 3>retailers here. So I was like paying attention to the retailers,

0:12:56.040 --> 0:12:58.480
<v Speaker 3>you know, whether it's the walmarts or you know, the

0:12:59.040 --> 0:13:00.600
<v Speaker 3>luxury you just get a great view of kind of

0:13:00.600 --> 0:13:03.000
<v Speaker 3>how the consumer's really hanging in there and generally has

0:13:03.000 --> 0:13:05.600
<v Speaker 3>been hanging in there for the luxury. I'm waiting for

0:13:05.640 --> 0:13:10.199
<v Speaker 3>them to say China's back, baby, they're buying mainland, they're traveling,

0:13:10.240 --> 0:13:11.160
<v Speaker 3>and we haven't heard that.

0:13:11.200 --> 0:13:13.360
<v Speaker 6>I don't know if it's gonna happen, to be honest,

0:13:13.360 --> 0:13:15.040
<v Speaker 6>if it hasn't happened at this time, it's really hard

0:13:15.040 --> 0:13:17.520
<v Speaker 6>to make that case. Plus even if China, even if

0:13:17.559 --> 0:13:20.440
<v Speaker 6>they say that, will investors be that willing to buy

0:13:20.480 --> 0:13:23.640
<v Speaker 6>that narrative? When they got burned in the first quarter

0:13:23.679 --> 0:13:25.240
<v Speaker 6>of last year from that, yeah.

0:13:25.080 --> 0:13:28.240
<v Speaker 3>Part of that was the Chinese traveler. They couldn't fly anywhere.

0:13:28.280 --> 0:13:30.160
<v Speaker 3>But now that's getting a little bit better, so maybe

0:13:30.160 --> 0:13:31.160
<v Speaker 3>that'll that'll help.

0:13:32.640 --> 0:13:36.520
<v Speaker 2>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:13:36.600 --> 0:13:39.280
<v Speaker 2>weekdays at ten am Eastern on Apple car Playing and

0:13:39.400 --> 0:13:42.320
<v Speaker 2>broud Otto with the Bloomberg Business app. Listen on demand

0:13:42.360 --> 0:13:46.679
<v Speaker 2>wherever you get your podcasts or watch us live on YouTube.

0:13:46.120 --> 0:13:48.720
<v Speaker 3>But it's got a sense of where we're going with

0:13:48.720 --> 0:13:51.120
<v Speaker 3>this market. I don't know whether it's time to jump

0:13:51.160 --> 0:13:54.800
<v Speaker 3>off the big calf tech train that's worked so well

0:13:54.840 --> 0:13:56.400
<v Speaker 3>for so long and maybe take a look at some

0:13:56.400 --> 0:13:59.720
<v Speaker 3>of the smaller midcaps, maybe some value. You don't know

0:13:59.720 --> 0:14:01.480
<v Speaker 3>where to go. Oh here, David Coodle's got some thoughts

0:14:01.520 --> 0:14:03.400
<v Speaker 3>here because he does this stuff for a living. He's

0:14:03.440 --> 0:14:06.720
<v Speaker 3>a founder, chief executive officer and chief investment officer Mainstay

0:14:07.120 --> 0:14:11.079
<v Speaker 3>Capital Management, joining us of via zoom from Troy, Michigan.

0:14:11.120 --> 0:14:14.680
<v Speaker 3>It's a lovely town. I've been there once, David. What

0:14:14.880 --> 0:14:18.000
<v Speaker 3>say you here? I mean for a lot of investors

0:14:18.000 --> 0:14:22.160
<v Speaker 3>that Magnificent seven has worked so well for so many people.

0:14:22.680 --> 0:14:25.120
<v Speaker 3>Do you just stay with the you know, with that horse,

0:14:25.200 --> 0:14:26.920
<v Speaker 3>or do you try to maybe look for some value

0:14:26.920 --> 0:14:29.200
<v Speaker 3>in small cap mid cap maybe some of the sectors

0:14:29.200 --> 0:14:29.800
<v Speaker 3>that I have lagged.

0:14:31.680 --> 0:14:35.560
<v Speaker 8>Yeah, you know the in good morning, good morning, Paul I.

0:14:35.600 --> 0:14:38.440
<v Speaker 8>When we look across the market and we know that

0:14:38.480 --> 0:14:40.880
<v Speaker 8>the Magnificent seven had a great year last year of

0:14:40.920 --> 0:14:44.400
<v Speaker 8>about one hundred and ten percent, and we now have

0:14:45.160 --> 0:14:50.560
<v Speaker 8>a Fab five that excludes Tesla and Apple that's doing

0:14:50.680 --> 0:14:55.240
<v Speaker 8>very well this year. And you know the concern is is,

0:14:55.320 --> 0:14:56.640
<v Speaker 8>you know, can we see a sell off in a

0:14:56.720 --> 0:14:59.240
<v Speaker 8>video with this meteoric rise? Can we see a sell

0:14:59.280 --> 0:15:00.000
<v Speaker 8>off in these stocks?

0:15:00.160 --> 0:15:00.920
<v Speaker 3>Of course we can.

0:15:02.520 --> 0:15:04.520
<v Speaker 8>It wouldn't be surprised at five or ten percent or

0:15:04.520 --> 0:15:07.400
<v Speaker 8>even more at any given time, given the rally that

0:15:07.440 --> 0:15:09.840
<v Speaker 8>we've had and the Magnificent seven this year and the

0:15:10.000 --> 0:15:15.360
<v Speaker 8>Fab five last year. But our overall thesis we like

0:15:15.480 --> 0:15:20.600
<v Speaker 8>growth over value and mega cap tech and profitable tech

0:15:21.200 --> 0:15:24.200
<v Speaker 8>is our most favorite sector last year and coming into

0:15:24.240 --> 0:15:27.200
<v Speaker 8>this year. And we look forward, we look over the

0:15:27.240 --> 0:15:30.320
<v Speaker 8>next three years. At the annual growth rate of the

0:15:30.360 --> 0:15:34.200
<v Speaker 8>Magnificent seven, it's four times that of the rest of

0:15:34.240 --> 0:15:36.640
<v Speaker 8>the S and P five hundred. If we look at

0:15:36.640 --> 0:15:41.600
<v Speaker 8>profit margins, they're going to expand at a lot higher

0:15:41.680 --> 0:15:45.080
<v Speaker 8>rate than the other four hundred and ninety three stocks.

0:15:45.120 --> 0:15:48.560
<v Speaker 8>You take out Apple and Tesla, those numbers get even bigger.

0:15:49.040 --> 0:15:53.920
<v Speaker 8>So we're still on growth over value, all right, I'm sorry,

0:15:53.920 --> 0:15:57.160
<v Speaker 8>growth over value, large over small. We had a rally

0:15:57.200 --> 0:15:59.480
<v Speaker 8>in small at the end of last year. In small

0:15:59.520 --> 0:16:03.240
<v Speaker 8>caps a little bit here recently, but small caps, you

0:16:03.280 --> 0:16:05.200
<v Speaker 8>know the problem with small caps have if you become

0:16:05.200 --> 0:16:08.360
<v Speaker 8>a good small cap stock. Soon you become a good

0:16:08.360 --> 0:16:10.440
<v Speaker 8>mid cap so you could become a good mid cap stock.

0:16:10.520 --> 0:16:13.320
<v Speaker 8>So the Russell two thousand by definition has that kind

0:16:13.360 --> 0:16:16.440
<v Speaker 8>of problem. And in the environment we're in with higher rates,

0:16:16.440 --> 0:16:18.640
<v Speaker 8>it's tough for small caps. And then finally we like

0:16:18.960 --> 0:16:21.080
<v Speaker 8>the US over foreign.

0:16:21.840 --> 0:16:25.280
<v Speaker 6>So David, to that point, what do you do then,

0:16:25.800 --> 0:16:28.440
<v Speaker 6>Like all those trades are working, all those trades have

0:16:28.520 --> 0:16:30.400
<v Speaker 6>been working, do you just kind of put the positions

0:16:30.440 --> 0:16:32.160
<v Speaker 6>on and then sit tight and then wait for all

0:16:32.200 --> 0:16:33.040
<v Speaker 6>that to play out.

0:16:34.520 --> 0:16:37.120
<v Speaker 8>Yeah, Well, the approach we're taking is yes, we are,

0:16:38.120 --> 0:16:41.280
<v Speaker 8>you know, very dominant in Nasdaq one hundred. You know,

0:16:41.360 --> 0:16:47.720
<v Speaker 8>those megacap gross stocks were dominant there. We're diversified in

0:16:47.800 --> 0:16:52.040
<v Speaker 8>some other areas and need to be in the income

0:16:52.080 --> 0:16:54.440
<v Speaker 8>portion of our portfolio. The thing that's worked so well

0:16:54.520 --> 0:16:58.880
<v Speaker 8>last year and into this year is holding the ultra

0:16:58.960 --> 0:17:03.040
<v Speaker 8>short term bonds with high yields. The bond indecks, the

0:17:03.120 --> 0:17:06.879
<v Speaker 8>us I agreated bond indecks was you know, was slightly

0:17:07.320 --> 0:17:12.120
<v Speaker 8>or only slightly up last year when the we look

0:17:12.160 --> 0:17:15.840
<v Speaker 8>at these ultra short term bonds with high yield of

0:17:15.960 --> 0:17:18.280
<v Speaker 8>six or seven percent. So if that's the income portion

0:17:19.200 --> 0:17:23.800
<v Speaker 8>with this growth dominant portion for equities. That's a formula

0:17:23.920 --> 0:17:26.600
<v Speaker 8>that's still working for a diversified portfolio.

0:17:27.600 --> 0:17:32.160
<v Speaker 3>So, David, I know you prefer us over international markets,

0:17:32.200 --> 0:17:35.200
<v Speaker 3>but I see you mentioned China here in your notes,

0:17:35.200 --> 0:17:38.359
<v Speaker 3>and I'm sorry Japan, and I've heard more about Japan

0:17:38.400 --> 0:17:39.639
<v Speaker 3>in the last six months that I have in the

0:17:39.680 --> 0:17:42.719
<v Speaker 3>last twenty years. What's going on in Japan from an

0:17:42.720 --> 0:17:43.280
<v Speaker 3>investment peru.

0:17:43.400 --> 0:17:45.440
<v Speaker 8>Yeah, we've heard more about Japan in the last six

0:17:45.520 --> 0:17:49.560
<v Speaker 8>months than we have in the last thirty five years.

0:17:49.600 --> 0:17:55.040
<v Speaker 8>Because we're right, we're bumping up. We're bumping up against

0:17:55.280 --> 0:17:58.199
<v Speaker 8>that high that was set in December of you know,

0:17:58.320 --> 0:18:01.400
<v Speaker 8>nineteen eighty nine when I was walking around the Stanford

0:18:01.480 --> 0:18:05.760
<v Speaker 8>campus learning about investing, right, I mean, it's that long ago.

0:18:06.280 --> 0:18:09.240
<v Speaker 8>That giant trough that that we're coming into in Japan

0:18:09.359 --> 0:18:11.200
<v Speaker 8>has some things going for it. You know, it's still

0:18:11.240 --> 0:18:15.200
<v Speaker 8>the easy monetary policy. Uh, they have the capital flows

0:18:15.240 --> 0:18:18.840
<v Speaker 8>coming from China. You know, China is nearly uninvestable at

0:18:18.840 --> 0:18:23.560
<v Speaker 8>this point. And then President Trump comes out and says,

0:18:23.600 --> 0:18:25.679
<v Speaker 8>if he gets elected, I'm going to put his sixty

0:18:25.720 --> 0:18:28.760
<v Speaker 8>percent tariff on all Chinese goods, I mean, with everything

0:18:28.760 --> 0:18:31.520
<v Speaker 8>else that's wrong in China with evergrand the real estate

0:18:31.560 --> 0:18:35.480
<v Speaker 8>sector all that, you know, more bad news coming. And

0:18:36.040 --> 0:18:38.240
<v Speaker 8>you know, so they've they've been doing a lot from

0:18:39.080 --> 0:18:43.960
<v Speaker 8>a stimulus standpoint, but that stock market continues to be,

0:18:44.600 --> 0:18:49.600
<v Speaker 8>you know, mired in a down draft. The if we

0:18:49.640 --> 0:18:53.399
<v Speaker 8>look at Europe, Europe is is near recession, kind of

0:18:53.400 --> 0:18:56.440
<v Speaker 8>in and out of recession. The UK is in recession

0:18:56.560 --> 0:18:59.920
<v Speaker 8>and actually just found out that Japan unexpectedly got it

0:19:00.119 --> 0:19:02.520
<v Speaker 8>second quarter of negative growth. But we've just got a

0:19:02.640 --> 0:19:07.560
<v Speaker 8>easy monetary policy. Capital flows there, Valuations are starting to

0:19:07.560 --> 0:19:10.439
<v Speaker 8>get a little bit lofty, but it's it's still investible.

0:19:11.520 --> 0:19:14.520
<v Speaker 6>What do you make of the BOJ and then getting

0:19:14.520 --> 0:19:17.440
<v Speaker 6>off of you'll curve control? Like does that factor in

0:19:17.480 --> 0:19:19.760
<v Speaker 6>to like you're thinking, like, clearly there's a carry trade

0:19:19.760 --> 0:19:21.760
<v Speaker 6>that's going to unwind really fast. Clearly that's going to

0:19:22.080 --> 0:19:24.280
<v Speaker 6>affect the treasury market. Does that affect you, David?

0:19:25.800 --> 0:19:28.040
<v Speaker 8>It affects us in that we're watching what the yen

0:19:28.200 --> 0:19:31.919
<v Speaker 8>is doing because the end it just continues to weaken

0:19:32.000 --> 0:19:35.880
<v Speaker 8>and and they've come in, they've intervened. The BOJ has

0:19:35.920 --> 0:19:38.960
<v Speaker 8>intervened several times. But you know when they do, those

0:19:39.000 --> 0:19:42.399
<v Speaker 8>tend to be temporary fixes. Those tend to be just

0:19:43.080 --> 0:19:47.440
<v Speaker 8>temporary in nature, and you know, our concern there, really

0:19:47.480 --> 0:19:51.120
<v Speaker 8>our concern now is with the economy in a more

0:19:51.160 --> 0:19:53.800
<v Speaker 8>fragile state. You know, what will they do in April?

0:19:53.840 --> 0:19:56.440
<v Speaker 8>Will they finally raise rates? I mean what they've continued

0:19:56.480 --> 0:20:00.199
<v Speaker 8>to do while the US went through their mass of

0:20:00.400 --> 0:20:03.440
<v Speaker 8>you know, five hundred and twenty five basis point increase

0:20:03.520 --> 0:20:08.119
<v Speaker 8>in rates from zero, Europe raising rates. We have Japan

0:20:08.200 --> 0:20:12.120
<v Speaker 8>there that's just maintained this easy monetary policy. They've made

0:20:12.240 --> 0:20:15.920
<v Speaker 8>some adjustments, but they've got a weak currency that continues

0:20:15.920 --> 0:20:20.680
<v Speaker 8>the weaken easy monetary policy. And you know, we'll see

0:20:20.680 --> 0:20:23.600
<v Speaker 8>but that the moves that they've made have been have

0:20:23.720 --> 0:20:29.720
<v Speaker 8>been just just minor, almost you know, non events in

0:20:29.840 --> 0:20:33.159
<v Speaker 8>terms of if they really started the type monetary policy,

0:20:33.200 --> 0:20:33.840
<v Speaker 8>which they haven't.

0:20:34.600 --> 0:20:36.600
<v Speaker 3>So, David, we're about seventy five percent of the way

0:20:36.600 --> 0:20:39.080
<v Speaker 3>through the S and P five hundred earnings. Any themes

0:20:39.080 --> 0:20:41.800
<v Speaker 3>for you, any takeaways for you, any any changes to

0:20:41.840 --> 0:20:43.280
<v Speaker 3>your portfolio based on what you're seeing.

0:20:44.560 --> 0:20:48.320
<v Speaker 8>No, I mean, we know we're beating expectations again, earnings

0:20:48.320 --> 0:20:54.639
<v Speaker 8>coming out better than expected. We're beyond that earnings recession

0:20:54.680 --> 0:20:59.040
<v Speaker 8>we had last year. And now seeing earnings doing quite well.

0:20:59.160 --> 0:21:01.879
<v Speaker 8>So I mean we're encouraged by that because that's what

0:21:01.920 --> 0:21:05.200
<v Speaker 8>we want to see with the FED. Well, we're so

0:21:05.320 --> 0:21:09.040
<v Speaker 8>concerned about the FED, obviously, but no, we're it's really

0:21:09.080 --> 0:21:13.040
<v Speaker 8>supporting where we're at in terms of growth versus value.

0:21:13.040 --> 0:21:16.639
<v Speaker 8>I think, you know, as we get into the second

0:21:16.680 --> 0:21:18.560
<v Speaker 8>half of the year, we think we have some volatility

0:21:18.600 --> 0:21:20.560
<v Speaker 8>here for a few more months. We get into second

0:21:20.600 --> 0:21:22.320
<v Speaker 8>half of the year and we start to see the

0:21:22.400 --> 0:21:25.800
<v Speaker 8>rate cuts come. If that's June, let's say that they start,

0:21:25.880 --> 0:21:28.000
<v Speaker 8>and just and remember that just weeks ago we were

0:21:28.040 --> 0:21:32.800
<v Speaker 8>looking at March for rate cuts to start. If rate

0:21:32.840 --> 0:21:35.639
<v Speaker 8>cuts do start that soon, and I think it could

0:21:35.840 --> 0:21:39.000
<v Speaker 8>maybe even be longer, then then we can come in.

0:21:39.080 --> 0:21:41.760
<v Speaker 8>Then we can feel more comfortable about dipping into small cap,

0:21:41.920 --> 0:21:46.480
<v Speaker 8>dipping into cyclicals. But right now, I mean, we're encouraged

0:21:46.480 --> 0:21:49.640
<v Speaker 8>by earnings and it's supporting the areas that we like.

0:21:49.920 --> 0:21:52.960
<v Speaker 3>Right all right, David, If I find myself in Troy,

0:21:52.960 --> 0:21:55.160
<v Speaker 3>Michigan this summer, would you recommend to pay a visit

0:21:55.200 --> 0:21:57.160
<v Speaker 3>to the Waterford Oaks wave Pool.

0:21:57.560 --> 0:22:00.480
<v Speaker 6>Well, I love wave pools, even though they're creepy and weird.

0:22:02.280 --> 0:22:03.879
<v Speaker 8>I think you should, and if you do, give me

0:22:03.920 --> 0:22:06.640
<v Speaker 8>a call and we'll go down there and have some fun.

0:22:06.680 --> 0:22:07.720
<v Speaker 8>That sounds like a lot of fun.

0:22:07.800 --> 0:22:10.159
<v Speaker 3>I've been to Troy. I did one of my internal

0:22:10.200 --> 0:22:12.480
<v Speaker 3>audit visits when I was a pain Webber to the Troy,

0:22:12.600 --> 0:22:15.080
<v Speaker 3>Michigan Pain Webber branch. Had had a good time there

0:22:15.119 --> 0:22:17.840
<v Speaker 3>for a week. Good good folks at there. David Kodla,

0:22:17.880 --> 0:22:20.680
<v Speaker 3>thanks so much for joining U. David Coudla, Founder chief

0:22:20.680 --> 0:22:24.840
<v Speaker 3>executive officer and chief investment strategist at Mainstay Capital. Manage It.

0:22:26.359 --> 0:22:30.280
<v Speaker 2>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:22:30.359 --> 0:22:33.840
<v Speaker 2>weekdays at ten am Eastern on applecar Play and androyd

0:22:33.880 --> 0:22:36.680
<v Speaker 2>Otto with the Bloomberg Business Act. You can also listen

0:22:36.800 --> 0:22:39.879
<v Speaker 2>live on Amazon Alexa from our flagship New York station

0:22:40.240 --> 0:22:43.960
<v Speaker 2>Just Say Alexa playing Bloomberg eleven thirty.

0:22:44.800 --> 0:22:47.359
<v Speaker 3>Big TAKEE story yesterday was about commercial real estate in

0:22:47.359 --> 0:22:50.280
<v Speaker 3>this country, particularly office space, and how we're seeing that

0:22:50.359 --> 0:22:53.679
<v Speaker 3>marked down pretty substantially. There's some trades actually happening, and

0:22:53.680 --> 0:22:55.480
<v Speaker 3>then Alex and I were just talking to earlier this

0:22:55.520 --> 0:22:57.720
<v Speaker 3>morning saying, boy, when are some of these smart real

0:22:57.800 --> 0:23:00.000
<v Speaker 3>estate equity dudes going to comment or do debts coming out,

0:23:00.119 --> 0:23:03.000
<v Speaker 3>come into the market and start making some long term investment.

0:23:03.040 --> 0:23:04.879
<v Speaker 3>Scott Kelly is one of them. He is a founder

0:23:04.920 --> 0:23:07.840
<v Speaker 3>and CEO of Ato's Capital real Estate. He joins us

0:23:07.840 --> 0:23:10.040
<v Speaker 3>here in a Bloomberg Interarctive Broker Studio. Were also joined

0:23:10.040 --> 0:23:12.600
<v Speaker 3>by Abigail Doolittle, markets reporter for Bloomberg News. She's going

0:23:12.640 --> 0:23:14.720
<v Speaker 3>to help us here kind of get through this story. Here,

0:23:14.960 --> 0:23:17.160
<v Speaker 3>Scott talk to us about how you guys at your

0:23:17.200 --> 0:23:20.359
<v Speaker 3>firm are kind of viewing the commercial real estate market

0:23:20.359 --> 0:23:22.920
<v Speaker 3>in this country. Is it time to maybe start bottle fishing?

0:23:24.160 --> 0:23:26.040
<v Speaker 10>I think it is. I think it's the beginning of

0:23:26.080 --> 0:23:28.520
<v Speaker 10>what's going to be a long process of working things out.

0:23:29.800 --> 0:23:32.760
<v Speaker 10>We have a company called waiver Tree Property Partners, which

0:23:32.800 --> 0:23:37.760
<v Speaker 10>is in the business of buying distressed real estate loans

0:23:37.800 --> 0:23:44.360
<v Speaker 10>and properties here in the US, and interestingly, the loans

0:23:44.560 --> 0:23:47.560
<v Speaker 10>are not as concentrated as they have been in the past.

0:23:47.640 --> 0:23:51.000
<v Speaker 10>When you look at the big real estate investment opportunities,

0:23:51.040 --> 0:23:56.000
<v Speaker 10>whether it was the RTC, whether it was Lehman's bankruptcy,

0:23:56.080 --> 0:23:59.880
<v Speaker 10>Bear Starns Lehman, the loans tended to be pretty con

0:24:00.119 --> 0:24:04.640
<v Speaker 10>and traded. Today, I think you find a wide variety

0:24:04.640 --> 0:24:09.000
<v Speaker 10>of lenders, including a lot of regional banks which are

0:24:09.440 --> 0:24:11.240
<v Speaker 10>which which hold a lot a lot of these real

0:24:11.359 --> 0:24:13.359
<v Speaker 10>estate loans. So we think it's going to be a

0:24:13.359 --> 0:24:16.199
<v Speaker 10>big opportunity. It's not just going to be an office.

0:24:17.000 --> 0:24:19.320
<v Speaker 10>Apartments are going to be a big opportunity as well.

0:24:20.560 --> 0:24:23.080
<v Speaker 10>We think that it's important to buy good real estate.

0:24:23.160 --> 0:24:26.200
<v Speaker 10>At the end of the day. You know, cheap doesn't

0:24:26.200 --> 0:24:28.240
<v Speaker 10>get cheap enough if you don't buy the right thing.

0:24:28.400 --> 0:24:32.000
<v Speaker 10>So you know, the better properties are going to continue

0:24:32.000 --> 0:24:34.600
<v Speaker 10>to perform, okay, But I think there's a real opportunity

0:24:34.600 --> 0:24:37.600
<v Speaker 10>for bottom fishing now and over the next several years.

0:24:37.840 --> 0:24:40.399
<v Speaker 11>So speaking of cheap Scott, the last time you've joined us,

0:24:40.440 --> 0:24:41.800
<v Speaker 11>and you've been kind enough to give us your time

0:24:41.840 --> 0:24:44.400
<v Speaker 11>over the last six months or so preparing for what

0:24:44.440 --> 0:24:47.439
<v Speaker 11>you've called an epic opportunity last year, both from the

0:24:47.480 --> 0:24:50.360
<v Speaker 11>gain side and the pain side. I think that we've

0:24:50.359 --> 0:24:52.239
<v Speaker 11>talked about office buildings here in New York going as

0:24:52.280 --> 0:24:54.320
<v Speaker 11>cheap as twenty five cents on the dollar. I know

0:24:54.359 --> 0:24:58.080
<v Speaker 11>it's very regional. What are our buildings, are properties loans

0:24:58.080 --> 0:25:00.760
<v Speaker 11>starting to trade, and what our valuation is looking coming

0:25:00.800 --> 0:25:03.720
<v Speaker 11>in as so far in the first wave of this well.

0:25:04.680 --> 0:25:08.560
<v Speaker 10>Again, it goes market by market. But you know, particularly

0:25:08.600 --> 0:25:13.800
<v Speaker 10>for absolute office buildings or going to be minus office buildings,

0:25:14.000 --> 0:25:16.840
<v Speaker 10>the big talk in the industry is to convert. If

0:25:16.880 --> 0:25:19.959
<v Speaker 10>you look at Manhattan as example, too much office space,

0:25:20.600 --> 0:25:23.800
<v Speaker 10>too little residential. You know, it's too expensive to live

0:25:23.840 --> 0:25:26.840
<v Speaker 10>here and there's too much office space. And the notion

0:25:27.119 --> 0:25:29.680
<v Speaker 10>is that some of these buildings are going to be

0:25:29.720 --> 0:25:34.359
<v Speaker 10>converted from office to residential. That is a very tall

0:25:34.560 --> 0:25:35.400
<v Speaker 10>order you're.

0:25:35.320 --> 0:25:37.040
<v Speaker 6>Going to do right, like you just don't like flip

0:25:37.040 --> 0:25:38.120
<v Speaker 6>a switch and say bye.

0:25:38.440 --> 0:25:38.640
<v Speaker 5>Right.

0:25:38.880 --> 0:25:43.560
<v Speaker 10>And because light and elevators are the too big light

0:25:43.640 --> 0:25:47.159
<v Speaker 10>access and elevators are the big issues. The floor plates

0:25:47.200 --> 0:25:49.320
<v Speaker 10>on office buildings tend to be too big to be

0:25:49.400 --> 0:25:53.399
<v Speaker 10>laid out really well for apartment Interestingly, the older office buildings,

0:25:53.560 --> 0:25:57.840
<v Speaker 10>which have smaller floor plates are easier to adapt. But

0:25:58.560 --> 0:26:02.560
<v Speaker 10>we did one through PTM in Washington, d C. It's

0:26:02.640 --> 0:26:06.600
<v Speaker 10>not easy to do, and I think it's really kind

0:26:06.600 --> 0:26:09.640
<v Speaker 10>of overblown in terms of how big an opportunity that is.

0:26:09.920 --> 0:26:12.280
<v Speaker 10>The Other thing I would say, just in terms of converting,

0:26:12.440 --> 0:26:16.160
<v Speaker 10>is it's going to take a lot of public private

0:26:16.240 --> 0:26:20.960
<v Speaker 10>cooperation to make that happen. The economics in terms of

0:26:22.960 --> 0:26:29.000
<v Speaker 10>tax breaks, help and financing. You know, governments are going

0:26:29.040 --> 0:26:31.360
<v Speaker 10>to have to find a way to get these buildings viable,

0:26:32.040 --> 0:26:34.280
<v Speaker 10>and it's going to mean working with the private sector

0:26:34.359 --> 0:26:36.480
<v Speaker 10>in a way that might appear to some to be

0:26:36.520 --> 0:26:38.119
<v Speaker 10>too generous to the private sector.

0:26:38.440 --> 0:26:41.200
<v Speaker 11>But so in terms of those values though, and understanding

0:26:41.240 --> 0:26:43.280
<v Speaker 11>that it is market by market, region by region. If

0:26:43.280 --> 0:26:45.560
<v Speaker 11>you had to put just a spectrum on it, twenty

0:26:45.560 --> 0:26:47.240
<v Speaker 11>five cents if that's New York City, but if you

0:26:47.520 --> 0:26:50.480
<v Speaker 11>are you able to say some sort of average, just

0:26:50.520 --> 0:26:53.080
<v Speaker 11>to give our listeners an idea of how painful it

0:26:53.240 --> 0:26:53.920
<v Speaker 11>is and could be.

0:26:54.320 --> 0:26:57.000
<v Speaker 10>Well, I think previous less than half. And you know

0:26:57.680 --> 0:27:00.720
<v Speaker 10>you're going to see things that go for buildings that

0:27:01.000 --> 0:27:04.560
<v Speaker 10>in their current use can barely pay their property taxes.

0:27:04.640 --> 0:27:08.880
<v Speaker 10>So you know you're going to see it values at

0:27:08.920 --> 0:27:12.600
<v Speaker 10>a at a low But but again, is it good

0:27:12.680 --> 0:27:14.640
<v Speaker 10>value even if it appears cheap.

0:27:15.960 --> 0:27:16.240
<v Speaker 4>Sale?

0:27:16.400 --> 0:27:19.920
<v Speaker 11>We're not closed, but doledge, there's a few properties buildings

0:27:19.920 --> 0:27:20.879
<v Speaker 11>out there pretty.

0:27:20.680 --> 0:27:23.200
<v Speaker 6>When my mortgage rate is three year percent or lower.

0:27:23.280 --> 0:27:25.159
<v Speaker 7>So I'm not your target audience.

0:27:25.800 --> 0:27:27.760
<v Speaker 3>So do you prefer to buy the actual real estate

0:27:27.800 --> 0:27:32.440
<v Speaker 3>itself or the mortgage behind it?

0:27:31.880 --> 0:27:34.679
<v Speaker 10>It is really deal by I think you have to

0:27:34.680 --> 0:27:38.080
<v Speaker 10>be flexible because you've got to deal usually with the

0:27:38.119 --> 0:27:45.040
<v Speaker 10>senior lender with a refinancing UH package and with squeezing

0:27:45.080 --> 0:27:47.879
<v Speaker 10>out the equity, partnering with the equity, cramming down the

0:27:47.920 --> 0:27:52.480
<v Speaker 10>equity that the structure needs to be I think typically

0:27:52.640 --> 0:27:55.800
<v Speaker 10>up in the capital structure, so either buying the real

0:27:55.920 --> 0:27:59.399
<v Speaker 10>estate if the senior lender you know, wants to go

0:27:59.440 --> 0:28:02.119
<v Speaker 10>through the FOK and just sell the real estate, or

0:28:02.240 --> 0:28:06.560
<v Speaker 10>coming into a structured alternative. But I think importantly our

0:28:07.600 --> 0:28:09.840
<v Speaker 10>perspective is that we have to be able to get

0:28:09.880 --> 0:28:13.639
<v Speaker 10>control of the operations of the real estate because again,

0:28:13.760 --> 0:28:18.359
<v Speaker 10>particularly through this syndicator model, a lot of people that

0:28:18.560 --> 0:28:20.719
<v Speaker 10>really didn't know what they were doing, that would never

0:28:20.760 --> 0:28:25.320
<v Speaker 10>would have passed the muster for institutional real estate capital,

0:28:25.640 --> 0:28:28.240
<v Speaker 10>got into the business and they're the ones that are

0:28:28.280 --> 0:28:29.199
<v Speaker 10>in the deepest trouble.

0:28:29.680 --> 0:28:32.560
<v Speaker 6>So because of people like you, though, that can do

0:28:32.600 --> 0:28:35.280
<v Speaker 6>that homework and then step in, will there not be

0:28:35.560 --> 0:28:39.120
<v Speaker 6>a gigantic commercial real estate crisis. It's just going to

0:28:39.160 --> 0:28:42.200
<v Speaker 6>be like years of sussing out this stuff and finding

0:28:42.200 --> 0:28:42.920
<v Speaker 6>the right price.

0:28:43.560 --> 0:28:46.200
<v Speaker 10>Yes, I think there will be years of.

0:28:46.400 --> 0:28:47.560
<v Speaker 6>But nothing disastrous.

0:28:48.040 --> 0:28:50.320
<v Speaker 10>Well, it will be disastrous for the people to get

0:28:50.320 --> 0:28:52.959
<v Speaker 10>wiped out, you know what I mean, whether that happens

0:28:52.960 --> 0:28:55.280
<v Speaker 10>overnight or over a period of a couple of years,

0:28:56.200 --> 0:28:58.040
<v Speaker 10>a lot of these people are going to get wiped out.

0:28:58.240 --> 0:29:02.800
<v Speaker 10>And you know, I think, I think it a disaster

0:29:02.920 --> 0:29:04.960
<v Speaker 10>for some is an opportunity for others.

0:29:05.080 --> 0:29:07.400
<v Speaker 11>And speaking of disaster, Scott, when you joined us in August,

0:29:07.480 --> 0:29:09.960
<v Speaker 11>you alluded to the idea that the regional banking that

0:29:09.960 --> 0:29:12.240
<v Speaker 11>there could be some kind of a banking crisis worse

0:29:12.280 --> 0:29:14.280
<v Speaker 11>than what people were anticipating in lo and behold the

0:29:14.440 --> 0:29:17.960
<v Speaker 11>second most popular article on the Blueberg terminal Today, dozens

0:29:18.000 --> 0:29:20.920
<v Speaker 11>of banks rapidly piled up commercial property loans. Speak to

0:29:20.960 --> 0:29:23.080
<v Speaker 11>us about the regulation and what you see ahead here.

0:29:23.720 --> 0:29:28.040
<v Speaker 10>Well, I think, interestingly, the big banks aren't that exposed

0:29:28.040 --> 0:29:32.440
<v Speaker 10>to commercial real estate. If you look at JP Morgan, Goldman, Sachs, Morgan, Stanley.

0:29:32.440 --> 0:29:35.720
<v Speaker 10>We've done the analysis on those banks and there I

0:29:35.760 --> 0:29:38.720
<v Speaker 10>think they've learned their lessons and they're not that exposed

0:29:38.760 --> 0:29:42.800
<v Speaker 10>to commercial real estate. The middle sized banks a little

0:29:42.840 --> 0:29:46.200
<v Speaker 10>bit more so. It's the smaller banks that have an

0:29:46.320 --> 0:29:50.440
<v Speaker 10>inordinate concentration of commercial real estate loans. And I think

0:29:50.440 --> 0:29:52.760
<v Speaker 10>part of the reason was that there was very little

0:29:53.240 --> 0:29:57.200
<v Speaker 10>commercial loan demand during COVID. People weren't starting new businesses.

0:29:57.320 --> 0:30:00.120
<v Speaker 10>They weren't you opening new restaurants and stores, and the

0:30:00.160 --> 0:30:02.480
<v Speaker 10>sort of bread and butter business of a smaller bank

0:30:02.880 --> 0:30:05.520
<v Speaker 10>didn't really exist. So they poured a lot of money

0:30:06.200 --> 0:30:09.160
<v Speaker 10>into real estate, and they did so with floating rate debt.

0:30:09.320 --> 0:30:13.120
<v Speaker 10>Although everybody's against their cap. The floating rate debt pretty

0:30:13.160 --> 0:30:17.640
<v Speaker 10>much with very short maturities, So that's the big refinancing

0:30:17.680 --> 0:30:21.160
<v Speaker 10>wave that's hitting these smaller in regional banks.

0:30:21.520 --> 0:30:23.880
<v Speaker 6>All right, thanks so much, really appreciate you guys. Scott Kelly,

0:30:23.880 --> 0:30:26.440
<v Speaker 6>founder and CEO of ATOS Capital real Estate, and Abigail

0:30:26.480 --> 0:30:31.440
<v Speaker 6>thank you so much, Bloomer correspondent for bringing us this interview.

0:30:32.120 --> 0:30:36.000
<v Speaker 2>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:30:36.080 --> 0:30:39.600
<v Speaker 2>weekdays at ten am Eastern on applecar Play and Android

0:30:39.640 --> 0:30:42.800
<v Speaker 2>Auto with the Bloomberg Business. You can also listen live

0:30:42.880 --> 0:30:46.040
<v Speaker 2>on Amazon Alexa from our flagship New York station Just

0:30:46.120 --> 0:30:48.720
<v Speaker 2>Say Alexa playing Bloomberg eleven thirty.

0:30:50.000 --> 0:30:53.720
<v Speaker 6>We're gonna talk about Cisco. Do you have a tidbit thing?

0:30:53.960 --> 0:30:57.400
<v Speaker 9>Did you just remember this is Cisco with a C,

0:30:57.920 --> 0:31:02.160
<v Speaker 9>not Cisco with an ass the food services and distribution

0:31:02.320 --> 0:31:04.720
<v Speaker 9>company whose trucks are always ahead of me in the

0:31:04.760 --> 0:31:06.720
<v Speaker 9>Lincoln Tunnel, slowing my commute.

0:31:07.200 --> 0:31:10.800
<v Speaker 6>That Cisco is also quite interesting. They have a huge,

0:31:11.040 --> 0:31:13.520
<v Speaker 6>huge business model. It's enormous. It's like a company. I

0:31:13.560 --> 0:31:14.880
<v Speaker 6>want to get in there and figure out what's going.

0:31:15.000 --> 0:31:17.360
<v Speaker 9>So if you like a particular restaurant and see a

0:31:17.480 --> 0:31:20.160
<v Speaker 9>Cisco with an S truck parked out front, they have

0:31:20.200 --> 0:31:23.800
<v Speaker 9>the food services company? Does that mean the fund is tablecloths,

0:31:23.840 --> 0:31:26.880
<v Speaker 9>all the things, but also like prepared foods, don't they?

0:31:26.960 --> 0:31:29.160
<v Speaker 6>But like I think they're real businesses like tables and

0:31:29.200 --> 0:31:33.440
<v Speaker 6>silverware and the stuff. The guts. Okay, see we got

0:31:33.440 --> 0:31:35.560
<v Speaker 6>something there. Let's go to Cisco though, the one with

0:31:35.600 --> 0:31:39.480
<v Speaker 6>the sea that's stock down about two percent, it's it's

0:31:39.520 --> 0:31:42.400
<v Speaker 6>off its lows though. Let's bring in a woojin Ho.

0:31:42.560 --> 0:31:46.080
<v Speaker 6>He's Boomberg Intelligence senior technology analysts to break it all down.

0:31:46.400 --> 0:31:50.400
<v Speaker 6>Wujin Is did anything really surprise you with Cisco? Like,

0:31:50.440 --> 0:31:52.640
<v Speaker 6>in some ways we knew the environment was going to

0:31:52.680 --> 0:31:54.320
<v Speaker 6>be soft, We knew they were going to have to

0:31:55.040 --> 0:31:57.640
<v Speaker 6>integrate a takeover and that was going to have some churn.

0:31:58.000 --> 0:31:59.600
<v Speaker 6>What was a big standout?

0:32:00.280 --> 0:32:03.760
<v Speaker 12>Well, I think you're you're right there, Alex. I think

0:32:03.920 --> 0:32:07.920
<v Speaker 12>the after the job loss leak or job cuts leak

0:32:07.960 --> 0:32:10.680
<v Speaker 12>from last quarter, I think there were expectations that there

0:32:10.680 --> 0:32:13.320
<v Speaker 12>were going to be cut the estimates, uh, you know,

0:32:13.400 --> 0:32:15.640
<v Speaker 12>and you know quite quite frankly, the big standout for

0:32:15.680 --> 0:32:18.520
<v Speaker 12>me was that the cuts were big enough, you know,

0:32:18.560 --> 0:32:21.200
<v Speaker 12>five percent op x cuts. That's part of the course

0:32:21.280 --> 0:32:24.200
<v Speaker 12>for what Cisco typically does. But at the end of

0:32:24.240 --> 0:32:27.040
<v Speaker 12>the day, I mean, given the stock reaction based on reports,

0:32:27.160 --> 0:32:28.880
<v Speaker 12>it looks like there were a lot of a lot

0:32:28.920 --> 0:32:30.840
<v Speaker 12>of this was expected, you.

0:32:30.800 --> 0:32:34.719
<v Speaker 3>Know, which I followed the Cisco name for decades. I mean,

0:32:34.760 --> 0:32:38.080
<v Speaker 3>it's one of the founding Silicon Valley tech names based

0:32:38.120 --> 0:32:40.960
<v Speaker 3>in San joseric smack in the middle, you know, Silicon Valley.

0:32:41.520 --> 0:32:44.040
<v Speaker 3>What are they not getting right here? The stock hasn't

0:32:44.040 --> 0:32:46.400
<v Speaker 3>worked for a long time, and it just what from

0:32:46.440 --> 0:32:48.200
<v Speaker 3>your perspective, what are they just missing here?

0:32:49.320 --> 0:32:53.000
<v Speaker 12>Well, let's let's talk about large cap stocks in general, right,

0:32:53.040 --> 0:32:57.000
<v Speaker 12>If we if we think about the big bangs, right,

0:32:57.400 --> 0:33:03.680
<v Speaker 12>or let's say Microsoft, the the old tech guard, Microsoft, Google, right,

0:33:03.800 --> 0:33:09.200
<v Speaker 12>they all really lead on a cloud software transition. If

0:33:09.240 --> 0:33:12.960
<v Speaker 12>we think about it from the hardware old guard, Cisco, Dell,

0:33:13.280 --> 0:33:18.280
<v Speaker 12>HPE or the old HP. There's still relatively a hardware business,

0:33:18.640 --> 0:33:21.520
<v Speaker 12>so you're not going to get the fast, sexy growth

0:33:22.280 --> 0:33:24.440
<v Speaker 12>from the hard hardware business. I mean, if you look

0:33:24.480 --> 0:33:28.080
<v Speaker 12>at Cisco, you know, after the estimate cuts fifty two

0:33:28.120 --> 0:33:31.040
<v Speaker 12>billion for fiscal twenty four, that brings them back to

0:33:31.120 --> 0:33:34.239
<v Speaker 12>twenty twenty four levels, right, So you're not getting the

0:33:34.280 --> 0:33:37.200
<v Speaker 12>growth that people want, and also you're not getting the

0:33:37.240 --> 0:33:41.000
<v Speaker 12>margin profiles that you want as well. So that's why

0:33:41.080 --> 0:33:43.520
<v Speaker 12>the multiples are lower and the growth is shallower.

0:33:43.760 --> 0:33:46.120
<v Speaker 6>So has the stock then rerated for that? I mean

0:33:46.600 --> 0:33:48.560
<v Speaker 6>from what we say, we kind of knew that was coming.

0:33:48.600 --> 0:33:51.160
<v Speaker 6>So are we at a right level right valuation for it?

0:33:51.800 --> 0:33:52.040
<v Speaker 4>Yeah?

0:33:52.120 --> 0:33:56.080
<v Speaker 12>So if I look at the historical evaluation for for Cisco,

0:33:56.760 --> 0:34:01.000
<v Speaker 12>it's trading around thirteen times right now. GO typically trades

0:34:01.080 --> 0:34:04.680
<v Speaker 12>roughly around fifteen to seventeen times, so it was it

0:34:04.720 --> 0:34:08.080
<v Speaker 12>was priced to be cut right now. Now, the question

0:34:08.320 --> 0:34:11.960
<v Speaker 12>is what does the pending Splunk deal do and does

0:34:12.000 --> 0:34:14.480
<v Speaker 12>that help reinvigorate growth. Now, what I will say is

0:34:14.520 --> 0:34:19.040
<v Speaker 12>that estimates, consensus estimates probably won't bake in this Splunk deal,

0:34:19.080 --> 0:34:23.800
<v Speaker 12>which adds about another eight percent on sales, neutral to

0:34:23.840 --> 0:34:26.759
<v Speaker 12>earnings their term, but it could spark earnings growth if

0:34:26.800 --> 0:34:31.840
<v Speaker 12>they start bringing op x or operating margins for Splunk

0:34:32.520 --> 0:34:34.480
<v Speaker 12>more in line to where Cisco is today.

0:34:35.000 --> 0:34:37.880
<v Speaker 3>So you know it's alex I mean over the last

0:34:38.080 --> 0:34:40.600
<v Speaker 3>five years, I'm using the comp function comp which is

0:34:40.880 --> 0:34:43.879
<v Speaker 3>one of Matt Miller's favorite functions. So over the last

0:34:43.880 --> 0:34:47.040
<v Speaker 3>five years, this stock has compounded three percent per year,

0:34:47.239 --> 0:34:49.640
<v Speaker 3>Cisco s and P five and fourteen and a half percent,

0:34:49.880 --> 0:34:53.200
<v Speaker 3>the S and P information technology sector twenty six percent.

0:34:53.239 --> 0:34:56.879
<v Speaker 3>So it's really really underperformed going forward, which I guess

0:34:56.920 --> 0:34:59.680
<v Speaker 3>over the next several quarters. What what Cisco's saying about

0:35:00.400 --> 0:35:04.879
<v Speaker 3>their customers and inventory and you know what are they

0:35:05.120 --> 0:35:08.120
<v Speaker 3>I mean cutting this forecast suggests that they don't have

0:35:08.120 --> 0:35:09.439
<v Speaker 3>a lot of great visibility here.

0:35:10.320 --> 0:35:16.400
<v Speaker 12>Yeah, so if you remember the server and storage cycle

0:35:17.480 --> 0:35:20.400
<v Speaker 12>from a year ago, Cisco is going through that right now.

0:35:21.239 --> 0:35:24.240
<v Speaker 12>Part of it is because of the supply chain glut

0:35:24.640 --> 0:35:28.960
<v Speaker 12>all of a sudden, Their customers got their equipment two

0:35:29.040 --> 0:35:32.759
<v Speaker 12>quarters ago and they're taking their time implementing it. So

0:35:33.480 --> 0:35:38.919
<v Speaker 12>you know, typical cycles are roughly five to six quarters.

0:35:39.680 --> 0:35:42.520
<v Speaker 12>I was running through the numbers and we're talking about

0:35:43.120 --> 0:35:46.239
<v Speaker 12>anywhere between twenty seven to thirty percent declines for the

0:35:46.280 --> 0:35:49.160
<v Speaker 12>next two to three quarters for Cisco, and they're probably

0:35:49.160 --> 0:35:50.600
<v Speaker 12>not going to get out of it and return to

0:35:50.640 --> 0:35:55.320
<v Speaker 12>growth until I'm sorry for the networking business, not sales

0:35:55.680 --> 0:35:59.839
<v Speaker 12>for the networking business, but I don't think they won't

0:35:59.840 --> 0:36:01.799
<v Speaker 12>get out of this decline until the second half of

0:36:01.840 --> 0:36:03.520
<v Speaker 12>fiscal year, which is about a year from now.

0:36:03.920 --> 0:36:04.080
<v Speaker 5>Right.

0:36:04.200 --> 0:36:09.680
<v Speaker 12>So yeah, again, the model is going to be reworked,

0:36:10.000 --> 0:36:14.759
<v Speaker 12>primarily because of the this Plunk deal, and the hope

0:36:14.920 --> 0:36:17.080
<v Speaker 12>is is that they're going to have more recurring revenues

0:36:17.520 --> 0:36:20.280
<v Speaker 12>UH to boost up the multiples going forward.

0:36:20.480 --> 0:36:24.359
<v Speaker 6>Right, So subscription is basically rather than just here's your

0:36:24.480 --> 0:36:28.800
<v Speaker 6>bit of hardware, see you guys later, where's the AI component?

0:36:28.920 --> 0:36:34.359
<v Speaker 12>For Cisco, I will tell you they're making a lot

0:36:34.360 --> 0:36:39.360
<v Speaker 12>of good progress and they had a billion dollars in

0:36:39.440 --> 0:36:45.240
<v Speaker 12>bookings in black black orders with Cloud customers, and uh.

0:36:45.400 --> 0:36:48.000
<v Speaker 12>The issue is is that that only represents two percent

0:36:48.000 --> 0:36:51.839
<v Speaker 12>of total orders, right, so it's still relatively small. It

0:36:51.920 --> 0:36:54.040
<v Speaker 12>is going to be growing, and they're probably going to

0:36:55.200 --> 0:36:59.759
<v Speaker 12>bang the drum louder to the on on the AI

0:37:00.920 --> 0:37:03.560
<v Speaker 12>on the AI theme over the next couple of quarters

0:37:03.680 --> 0:37:08.160
<v Speaker 12>as these deals really start to balloon. The one thing

0:37:08.320 --> 0:37:12.879
<v Speaker 12>is again, it's it's still a corporate IT name. If

0:37:12.880 --> 0:37:14.839
<v Speaker 12>I were to pick, if I may, if I were

0:37:14.880 --> 0:37:18.279
<v Speaker 12>to pick one AI name on the networking side, it's

0:37:18.320 --> 0:37:20.640
<v Speaker 12>probably going to be more Arista than Cisco for now.

0:37:21.400 --> 0:37:24.480
<v Speaker 3>So again, is there a way which is broadly defined

0:37:24.600 --> 0:37:27.600
<v Speaker 3>on the hardware side, have investors embraced any of the

0:37:27.640 --> 0:37:31.200
<v Speaker 3>hardware names as AI plays? Is it? Because it just

0:37:31.200 --> 0:37:33.080
<v Speaker 3>doesn't feel like it. It feels like what I'm hearing

0:37:33.080 --> 0:37:35.920
<v Speaker 3>from you know, a lot of your folks on the

0:37:35.920 --> 0:37:38.960
<v Speaker 3>tech team of Bloomberg Intelligence. It's kind of software applications,

0:37:39.000 --> 0:37:39.520
<v Speaker 3>that kind of thing.

0:37:40.320 --> 0:37:45.239
<v Speaker 12>Yeah, so so so I can name four yep, right,

0:37:46.080 --> 0:37:49.680
<v Speaker 12>Arista Networks, Right, if you look at that stock that's

0:37:49.719 --> 0:37:54.399
<v Speaker 12>been up eighty eighty eight percent, super Micro that's been

0:37:54.520 --> 0:37:59.040
<v Speaker 12>up eight hundred and forty six percent over the past year, right,

0:38:00.280 --> 0:38:02.879
<v Speaker 12>and Dell that's been up ten percent. There's and they

0:38:02.960 --> 0:38:06.120
<v Speaker 12>reported in a couple of weeks there's a growing AI

0:38:06.200 --> 0:38:11.800
<v Speaker 12>story there and one name that's been underappreciated is probably HPE.

0:38:12.080 --> 0:38:16.399
<v Speaker 12>They have a supercomputing business, high performance computing business. But

0:38:16.680 --> 0:38:18.600
<v Speaker 12>the story is a little muddled because of a pending

0:38:18.680 --> 0:38:22.120
<v Speaker 12>Juniper deal. And then there's you know, my my colleague

0:38:22.160 --> 0:38:25.680
<v Speaker 12>Steve saying he covers the white box vendors, and there's

0:38:25.719 --> 0:38:28.880
<v Speaker 12>some white box vendors that may potentially benefit from the

0:38:29.000 --> 0:38:33.040
<v Speaker 12>from because they sell server equipment to the cloud guys.

0:38:33.280 --> 0:38:35.120
<v Speaker 6>So you were saying that the AI stuff growing about

0:38:35.120 --> 0:38:38.880
<v Speaker 6>two percent a year kind of thing. Is that considered

0:38:38.920 --> 0:38:42.480
<v Speaker 6>good when you obviously compared to a different kind of

0:38:42.520 --> 0:38:44.640
<v Speaker 6>company like and Video, it's not. But for Cisco in

0:38:44.680 --> 0:38:45.839
<v Speaker 6>this area, would that be good?

0:38:46.560 --> 0:38:50.200
<v Speaker 12>It's two percent of total sales, Okay, right, I suspect

0:38:50.280 --> 0:38:56.000
<v Speaker 12>that's those that sales rate could potentially grow well into

0:38:56.040 --> 0:38:58.080
<v Speaker 12>the double digits over the next couple of years.

0:38:58.640 --> 0:38:58.839
<v Speaker 8>Uh.

0:38:58.880 --> 0:39:02.600
<v Speaker 12>They are one of the arms players for AI. And

0:39:02.640 --> 0:39:06.560
<v Speaker 12>you've had me on the show before. We've had this conversation,

0:39:06.719 --> 0:39:10.799
<v Speaker 12>a technology conversation between Ethernet and infinite band. You're going

0:39:10.840 --> 0:39:14.440
<v Speaker 12>to start seeing this burgeoning shift from Nvidia's infinite band

0:39:14.480 --> 0:39:19.600
<v Speaker 12>technology to an open standard called Ethernet, and that's where

0:39:19.640 --> 0:39:22.440
<v Speaker 12>Cisco is going to benefit over the next several years.

0:39:23.000 --> 0:39:25.680
<v Speaker 6>Okay, So short term, what's next, like, what are us

0:39:25.680 --> 0:39:28.360
<v Speaker 6>interested in? It's going to be this plunk like acquisition

0:39:28.400 --> 0:39:30.279
<v Speaker 6>and getting that done, and how that's going to be

0:39:30.320 --> 0:39:32.320
<v Speaker 6>merged exactly.

0:39:32.400 --> 0:39:36.279
<v Speaker 12>I mean, look, it's probably well. First of all, I

0:39:36.520 --> 0:39:40.080
<v Speaker 12>think that earnings cuts may have bottomed earnings a bottom

0:39:40.120 --> 0:39:43.279
<v Speaker 12>from here. The next thing I need to do is

0:39:43.360 --> 0:39:47.160
<v Speaker 12>fold in the bunk estimates when once they announce that

0:39:47.200 --> 0:39:51.360
<v Speaker 12>deal and then and just keep track of where it

0:39:51.600 --> 0:39:55.239
<v Speaker 12>spending is as a relative to Cisco, as well as

0:39:55.360 --> 0:39:57.839
<v Speaker 12>keep track of where the AI story goes. Right, they

0:39:57.840 --> 0:39:59.960
<v Speaker 12>had had a couple of nice announcements. We just need

0:40:00.080 --> 0:40:02.279
<v Speaker 12>more and start to see it in the numbers in

0:40:02.320 --> 0:40:03.200
<v Speaker 12>fiscal twenty five.

0:40:03.760 --> 0:40:06.240
<v Speaker 6>All right, Booch, thanks a lot, really appreciate it. Ushinho

0:40:06.440 --> 0:40:07.920
<v Speaker 6>joining us from Bloomberg Intelligence.

0:40:08.320 --> 0:40:12.799
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