WEBVTT - Palantir Jumps After ‘Otherworldly Demand Lifts Outlook 

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. You're listening to the

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<v Speaker 2>Again, I'm just looking.

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<v Speaker 3>I'm not.

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<v Speaker 4>I don't really know Palenteer technologies that well, but the

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<v Speaker 4>shares jump by the most almost sixteen months after the

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<v Speaker 4>company boosted four year revenue and income forecast as described

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<v Speaker 4>and described commercial demand for its data analytics tools as

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<v Speaker 4>quote otherworldly. I don't know, so I know man deep

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<v Speaker 4>seeing those he covers all this tech stuff for Bloomberg Intelligence. Bendy,

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<v Speaker 4>can you just briefly describe what Palenteer is and what

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<v Speaker 4>you took away from their earnings last night.

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<v Speaker 5>I mean, this is a company pre AI before LMS

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<v Speaker 5>came to the scene, and they have done a lot

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<v Speaker 5>of customized work for government, ment entities, large defense companies

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<v Speaker 5>where it helps make sense of big data. Basically, it

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<v Speaker 5>goes back to that big data days where are those

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<v Speaker 5>dealing with large amounts of data. They can help you

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<v Speaker 5>create a pretty dashboard that can you know, give you

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<v Speaker 5>the insights from unstructured data. Now, with all the LMS

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<v Speaker 5>coming to this scene, they clearly have made a pivot

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<v Speaker 5>towards incorporating LMS as part of the solution. And what

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<v Speaker 5>we have seen is accelerating growth over the last thirteen quarter.

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<v Speaker 5>So this is the thirteenth consecutive quarter of top line acceleration.

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<v Speaker 5>And you know, ninety three percent growth is very impressive

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<v Speaker 5>for a software company. But when I look at, you know,

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<v Speaker 5>the customer base, we're talking about thousand customers, so it's

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<v Speaker 5>very high. SP's very high monetization at their customer base, which,

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<v Speaker 5>like I said, half of this is coming from the government.

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<v Speaker 5>And so from that perspective, a typical enterprise company like

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<v Speaker 5>Microsoft has got over one hundred thousand customers. Even a

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<v Speaker 5>Snowflake or data Bricks has got twenty thousand plus customers.

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<v Speaker 5>Talenteer is just catering to thousand customers. And that's the

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<v Speaker 5>real risk for me when I look at the growth

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<v Speaker 5>tragictory next couple of years.

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<v Speaker 6>So you're saying that's a source of fragility rather than

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<v Speaker 6>a source of strength for Palenteer.

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<v Speaker 2>What could disrupt that? I mean, does that make it

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<v Speaker 2>a Palenter more vulnerable to a competitor coming in.

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<v Speaker 4>Yeah.

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<v Speaker 5>I mean the fact that the CEO has been so

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<v Speaker 5>vocal about Inthropic and open Ai and how suddenly, out

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<v Speaker 5>of all the companies, Palenteer is supporting open source. I mean,

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<v Speaker 5>this is a company that has benefited greatly from selling

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<v Speaker 5>a proprietary solution and now it's coming out and being

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<v Speaker 5>so vocal about open source support.

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<v Speaker 7>So that I think.

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<v Speaker 5>Gives you an indication that they do see the competition

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<v Speaker 5>coming from the likes of open ai and Tropic.

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<v Speaker 7>As well as the hyperscalers.

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<v Speaker 5>I mean, what Palenteer did really well was they have

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<v Speaker 5>this concept called FDE forver deployed engineers that were part

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<v Speaker 5>of their employee base. So when you're installing a solution,

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<v Speaker 5>the FDEs actually help you get there faster. And now

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<v Speaker 5>all of these companies, whether it's Microsoft, Amazon, they have

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<v Speaker 5>this FDE team that they are using to deploy their

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<v Speaker 5>own lms. So I think competition.

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<v Speaker 7>Wise, I feel there will.

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<v Speaker 5>Be more competition from Palenteer and they can see that,

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<v Speaker 5>which is why they are being so vocal with open

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<v Speaker 5>weight support. And I mean the growth trajectory they guide

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<v Speaker 5>it to increase top line growth, So it was a

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<v Speaker 5>bat and raise quarterer. But to my mind, the growth

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<v Speaker 5>rates will normalize and that's where the higher valuation kind

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<v Speaker 5>of creates a risk.

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<v Speaker 4>You mentioned Anthropic as we're looking for potential IPO maybe

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<v Speaker 4>later this year year, Bloomberg News has got a story

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<v Speaker 4>that Anthropic has struck a ten billion dollars deal for

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<v Speaker 4>computing capacity from a month's old infrastructure startup okay, making

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<v Speaker 4>the cloudmaker's latest effort to keep pace with demand for

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<v Speaker 4>its products.

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<v Speaker 2>What is that all about?

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<v Speaker 5>I mean right now and Tropic is just getting compute

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<v Speaker 5>from wherever they can, whether it's SpaceX or Meta or

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<v Speaker 5>you know these In this case, this small company bitcoin

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<v Speaker 5>mining company that has compute to.

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<v Speaker 4>Hold on, hold on a bitcoin mining company is now

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<v Speaker 4>providing compute for an AI play.

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<v Speaker 2>Yeah, because at the end it's a data center.

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<v Speaker 6>That's the dream for these coin mining companies wants they

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<v Speaker 6>make the transition.

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<v Speaker 5>I mean, compute is agnostic off where you know that

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<v Speaker 5>data center is set up, what purpose it was used

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<v Speaker 5>for in the past, It doesn't matter. Compute is you

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<v Speaker 5>neque processing capability with life power connected to a grid.

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<v Speaker 4>That's all you can And just to be clear, we

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<v Speaker 4>never use the term compute before, did we not?

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<v Speaker 2>In that way?

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<v Speaker 4>We used as a verb, Yes, we would never said

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<v Speaker 4>as a noun. Yeah, right, See, I just want to

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<v Speaker 4>make sure I'm calling you. Just check people out on

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<v Speaker 4>some of this stuff.

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<v Speaker 2>Well, they make up a lot of words, they do.

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<v Speaker 4>You know, I need more compute?

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<v Speaker 2>Is that what you all these alms?

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<v Speaker 5>Net? If you listen to any conference they are on,

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<v Speaker 5>they'll tell you the world needs ten times fifty times

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<v Speaker 5>more compute than currently available.

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<v Speaker 2>Stay with us. More from Bloomberg Intelligence coming up after this.

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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 Coplay and Android

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<v Speaker 1>Auto with the Bloomberg Business app. Listen on demand wherever

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<v Speaker 6>It is, of course the thick of earning season, and

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<v Speaker 6>this morning we got indication from McDonald's that US sales

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<v Speaker 6>perhaps not living up to what was promised or what

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<v Speaker 6>was expected. Sales in the US coming in a little

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<v Speaker 6>bit lighter than anticipated. Michael Halen is our senior restaurant

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<v Speaker 6>and food service analysts enjoys US in studio.

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<v Speaker 2>So Michael I thought McDonald's.

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<v Speaker 6>Was one of the companies that would benefit from consumers

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<v Speaker 6>seeking value, seeking perhaps lower cost and more convenient food options.

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<v Speaker 6>And it certainly looked that way in quarters past. What

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<v Speaker 6>happened this last quarter.

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<v Speaker 8>Yeah, so last year they did a good job of

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<v Speaker 8>re establishing themselves as the value leader.

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<v Speaker 7>They were also lapping really weak comps due to E.

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<v Speaker 8>Coli, and so as a result, they had very strong

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<v Speaker 8>results last year.

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<v Speaker 7>This year, we thought it was.

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<v Speaker 8>We didn't think it was a great idea to just

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<v Speaker 8>try to lap these really strong comps with just value

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<v Speaker 8>A B. They kind of screwed up the whole value thing.

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<v Speaker 8>They pulled the bogos buy one, get one offers, they

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<v Speaker 8>took away a lot of discounts on the app which

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<v Speaker 8>their lower income consumers use all the time, and they

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<v Speaker 8>pushed a ten items for three dollars menu that kind

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<v Speaker 8>of fell flat. And so all of those changes that

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<v Speaker 8>happening that happened to actually created an increase of prices

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<v Speaker 8>for their their consumers. So, you know, that, paired with

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<v Speaker 8>a tough year over year comparison, you know, showed up

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<v Speaker 8>in their results today.

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<v Speaker 4>The company is embarking on a multi year plan to

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<v Speaker 4>become more than just a fast cheap meal with the

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<v Speaker 4>aim of being the first choice for family outings and

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<v Speaker 4>other occasions. How are they going to do that?

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<v Speaker 7>You know, listen, we'll probably see more tie ins.

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<v Speaker 5>You know.

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<v Speaker 8>Last year was was the Minecraft meal that was absolutely

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<v Speaker 8>a monster for them globally, right, so they're gonna have

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<v Speaker 8>to use some more tie ins. You know, it's gonna

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<v Speaker 8>be tough, you know. I think what we're seeing is

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<v Speaker 8>McDonald's kind of taking some of these family family occasions

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<v Speaker 8>away from McDonald's this year. You know, Burger King has

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<v Speaker 8>remodeled their restaurants, improve the quality of the food, and

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<v Speaker 8>really done a nice job of building back sales over

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<v Speaker 8>the last few quarters. And I think McDonald's is feeling

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<v Speaker 8>it and that that's why they're kind of talking about

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<v Speaker 8>set that segment because it seems like they may be

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<v Speaker 8>losing some share there. I think what the real drivers

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<v Speaker 8>of this will be are, you know, beverages. I think

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<v Speaker 8>beverages is a very good opportunity for them to grow

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<v Speaker 8>sales in the afternoon day part.

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<v Speaker 5>You know.

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<v Speaker 8>I think they can take seems they can take sales

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<v Speaker 8>away from Sonic, who is a big competitor in the

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<v Speaker 8>beverage space that does a nice job in that you

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<v Speaker 8>know two to four pm lull where the restaurants are staffed,

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<v Speaker 8>and so they're primed to do more business. It's very

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<v Speaker 8>incremental sales in that day part. You know, they're going

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<v Speaker 8>to do some more training, some retraining in the fourth

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<v Speaker 8>quarter to help boost their operations. I think they're gonna

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<v Speaker 8>they're not going to do what they did this quarter,

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<v Speaker 8>which was just throw too many different marketing initiatives against

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<v Speaker 8>the wall. Right, you have to be more disciplined in

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<v Speaker 8>today's market because you know, these windows, everyone's marketing, and

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<v Speaker 8>everyone's putting in ltos and new food items and discounts

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<v Speaker 8>out there all the time because the low income consumer

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<v Speaker 8>is struggling. And so what we're seeing now is that

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<v Speaker 8>promotions are only giving you these chains a lift for one.

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<v Speaker 7>Or two weeks and then it fades and then it fades.

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<v Speaker 8>And so you know, if you're constantly marketing something new

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<v Speaker 8>every couple of weeks, you know.

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<v Speaker 2>People just show you out.

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<v Speaker 8>It gets confusing for the consumer, consumer, for the confusing

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<v Speaker 8>for the employees.

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<v Speaker 7>It just kind of makes a mess of things which

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<v Speaker 7>happen this quarter.

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<v Speaker 6>Yeah, it just becomes noise in the background. A lot

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<v Speaker 6>of analysts are saying that the results are kind of

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<v Speaker 6>the secondary story. The bigger story here is a change

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<v Speaker 6>in McDonald's USA leadership. Joe Erlinger is out and Sky Anderson,

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<v Speaker 6>who was the COEO, comes in. Do you see this

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<v Speaker 6>changing things dramatically for McDonald's.

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<v Speaker 7>Uh, I don't think so.

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<v Speaker 8>I mean, Erlinger did a great job, you know, so

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<v Speaker 8>you know that may be viewed as a loss by some,

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<v Speaker 8>but Sky Anderson has been there.

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<v Speaker 7>For a long time. She's worked very closely with Joe

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<v Speaker 7>and the US team.

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<v Speaker 8>UH in charge of operations, so you know, she has

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<v Speaker 8>a long track, strong track record at McDonald So I

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<v Speaker 8>don't expect too much of a change there.

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<v Speaker 4>Cyclo what is it again?

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<v Speaker 7>Cyclospora? Yeah?

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<v Speaker 4>What is that?

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<v Speaker 7>Let's a site that causes you know, very very bad diarrhea.

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<v Speaker 4>And so this is something that's impacting the lettuce Yes.

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<v Speaker 8>Yes, this is impacting let us. There was a pretty

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<v Speaker 8>big recall Taylor.

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<v Speaker 2>Forms is a big and Taco Bell getting caught up

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<v Speaker 2>in it.

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<v Speaker 7>And Taco Bell got caught up.

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<v Speaker 8>There was some news today that wasn't a good look

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<v Speaker 8>for them, right, so they you know, some somebody got

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<v Speaker 8>a hold of some emails that showed they knew about

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<v Speaker 8>this this outbreak maybe a weeks before they let their

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<v Speaker 8>consumers know, and so yeah, not a good look for them.

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<v Speaker 7>Also, there was a couple of deaths.

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<v Speaker 8>I think they were people that were had health issues

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<v Speaker 8>prior to cycle spore. But that's uncommon for cyclospora deaths, right,

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<v Speaker 8>that's more of like an E. Coli thing, So not

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<v Speaker 8>great for young brands. But you know, at the same time,

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<v Speaker 8>they just divested Pizza Hut. People are going to forget

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<v Speaker 8>about the cyclospora outbreak, and you know, this company is

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<v Speaker 8>set up for much much stronger top and bottom line

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<v Speaker 8>growth over the next twelve months because of you know,

0:11:32.720 --> 0:11:35.520
<v Speaker 8>they got rid of that yoke on its neck, which

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<v Speaker 8>so they just.

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<v Speaker 2>Have to get through this period.

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<v Speaker 6>In other words, you know, with all the bad news

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<v Speaker 6>and figuring out a solution to this. I want to

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<v Speaker 6>go back to something you said earlier, Michael, about how

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<v Speaker 6>McDonald's is trying to get more people into its stores

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<v Speaker 6>in the afternoon hours, you know.

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<v Speaker 2>Like with drinks.

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<v Speaker 6>I think about Starbucks and how it's trying to get

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<v Speaker 6>more people into its stores through food items. So everyone's

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<v Speaker 6>just trying to get away to get consumers to come

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<v Speaker 6>in around what two to four pm? That's the lull

0:12:02.400 --> 0:12:06.040
<v Speaker 6>and that's like the time of day they've targeted. And

0:12:06.120 --> 0:12:08.120
<v Speaker 6>if you sell food, then you want to provide drinks.

0:12:08.120 --> 0:12:11.760
<v Speaker 6>If you sell drinks, things want to provide food. What

0:12:11.840 --> 0:12:14.480
<v Speaker 6>did people do? What did companies do with that timeslot

0:12:14.520 --> 0:12:18.200
<v Speaker 6>before this, before this focused attention, they just kind of

0:12:18.200 --> 0:12:18.880
<v Speaker 6>gave up on it.

0:12:18.920 --> 0:12:22.199
<v Speaker 8>And no, I mean, you know, it makes a lot

0:12:22.240 --> 0:12:26.120
<v Speaker 8>of sense because your stores are staffed, right, you have

0:12:26.200 --> 0:12:27.920
<v Speaker 8>people in the stores, but you don't have a lot

0:12:27.960 --> 0:12:31.360
<v Speaker 8>of customers coming in. So any of those sales that

0:12:31.400 --> 0:12:33.720
<v Speaker 8>you can bring in in those types of times, since

0:12:33.720 --> 0:12:37.199
<v Speaker 8>they call them the shoulder periods, are very high margin. Right,

0:12:37.240 --> 0:12:38.760
<v Speaker 8>it's basically all incremental.

0:12:39.320 --> 0:12:42.200
<v Speaker 4>Samantha writes in says they need to offer happy hours.

0:12:42.400 --> 0:12:44.720
<v Speaker 4>That's a concept that works. Oh yeah, the bar business.

0:12:44.760 --> 0:12:47.439
<v Speaker 4>Why not in like a Bounce or Starbucks.

0:12:48.600 --> 0:12:51.520
<v Speaker 2>Stay with us more from Bloomberg Intelligence coming up after this.

0:12:55.840 --> 0:12:59.960
<v Speaker 1>You're listening to the Bloomberg Intelligence podcast. Catch us live weekday.

0:13:00.000 --> 0:13:02.720
<v Speaker 1>He's at ten am Eastern on Apple, Cocklay and Android

0:13:02.720 --> 0:13:06.040
<v Speaker 1>Auto with the Blueberg Business app. Listen on demand wherever

0:13:06.080 --> 0:13:10.240
<v Speaker 1>you get your podcasts, or watch us live on YouTube.

0:13:10.480 --> 0:13:14.520
<v Speaker 6>We also have earnings out from Caterpillar, which normally you

0:13:14.559 --> 0:13:18.160
<v Speaker 6>know it's a maker of earth moving machines, bulldozers the like,

0:13:18.280 --> 0:13:20.840
<v Speaker 6>But now it's become an AI play, not just in

0:13:20.840 --> 0:13:23.040
<v Speaker 6>a construction and mining equipment company, it's.

0:13:22.840 --> 0:13:23.480
<v Speaker 2>So much more.

0:13:23.760 --> 0:13:28.040
<v Speaker 6>Chris Ricilino is our senior US machinery analyst here at

0:13:28.080 --> 0:13:30.880
<v Speaker 6>Bloomberg Intelligence, and he joins us now with more on

0:13:31.240 --> 0:13:35.520
<v Speaker 6>these results, which some people have called blowout results, especially

0:13:35.880 --> 0:13:39.480
<v Speaker 6>the upside to Wall Street estimates for a second quarter profit. Chris,

0:13:39.480 --> 0:13:42.920
<v Speaker 6>give us a quick read here on Caterpillar's latest results.

0:13:44.160 --> 0:13:46.880
<v Speaker 9>Yeah, it's hard to refute those comments. It was really

0:13:46.920 --> 0:13:51.559
<v Speaker 9>a monster quarter you had against pretty lofty expectations heading

0:13:51.559 --> 0:13:54.160
<v Speaker 9>into the print. You had a really convincing bet and

0:13:54.280 --> 0:13:58.719
<v Speaker 9>raise better than expected sales and margins across all three businesses.

0:13:58.760 --> 0:14:01.720
<v Speaker 9>So it's not just the the AI power gen business.

0:14:02.480 --> 0:14:04.520
<v Speaker 9>And actually, I would say one of the more encouraging

0:14:04.559 --> 0:14:08.160
<v Speaker 9>takeaways from this print was a performance in their construction business,

0:14:09.040 --> 0:14:12.120
<v Speaker 9>so which really suggests that this recovery is broadening out

0:14:12.800 --> 0:14:15.320
<v Speaker 9>where you have a lot of the cyclical tailwind starting

0:14:15.360 --> 0:14:18.520
<v Speaker 9>to kick in and kind of enhance what we're seeing

0:14:19.000 --> 0:14:21.840
<v Speaker 9>on the secular side with the data center build out

0:14:22.880 --> 0:14:26.120
<v Speaker 9>orders again very strong in the quarter, push backlog to

0:14:26.200 --> 0:14:29.560
<v Speaker 9>another record level. We're north of seventy two billion dollars

0:14:29.600 --> 0:14:32.280
<v Speaker 9>on the backlog. They're already starting to take some orders

0:14:32.280 --> 0:14:36.440
<v Speaker 9>out to twenty thirty so above average production visibility. There's

0:14:36.480 --> 0:14:40.960
<v Speaker 9>really a lot to liken. This report. Question now becomes

0:14:41.600 --> 0:14:44.240
<v Speaker 9>is this as good as it gets? So we shall

0:14:44.280 --> 0:14:44.920
<v Speaker 9>see from here.

0:14:45.320 --> 0:14:48.840
<v Speaker 3>So Chris, as I understand your coverage of machinery and

0:14:49.120 --> 0:14:50.840
<v Speaker 3>the Deers of the world, the cats of the world,

0:14:50.880 --> 0:14:54.520
<v Speaker 3>I mean, I think that is classic cyclical stuff. But

0:14:54.560 --> 0:14:57.640
<v Speaker 3>these stocks are trading thirty five times earnings. I mean,

0:14:57.720 --> 0:15:00.760
<v Speaker 3>you're like a growth stock industry. Now, what's going on

0:15:00.800 --> 0:15:02.360
<v Speaker 3>with your industry is it's still cyclical.

0:15:03.200 --> 0:15:04.840
<v Speaker 9>It's hard to wrap your head around some of the

0:15:04.880 --> 0:15:07.960
<v Speaker 9>valuations in the space, even the small So we had

0:15:07.960 --> 0:15:10.440
<v Speaker 9>a Caterpillar. If you look over to last year, it's

0:15:10.480 --> 0:15:13.640
<v Speaker 9>really traded in line with a lot of the AI

0:15:13.880 --> 0:15:16.880
<v Speaker 9>and hyperscaler names in terms of just the moves and

0:15:16.920 --> 0:15:19.960
<v Speaker 9>the trajectory. It's been one of the top performers in

0:15:20.000 --> 0:15:24.400
<v Speaker 9>the industrials world because of that data center exposure in

0:15:24.440 --> 0:15:27.600
<v Speaker 9>their power generation business. At the end of the day,

0:15:27.680 --> 0:15:30.920
<v Speaker 9>I still believe this is still a cyclical company. They

0:15:30.960 --> 0:15:34.680
<v Speaker 9>had just been you know, uh, fortunately positioned to capitalize

0:15:34.760 --> 0:15:38.400
<v Speaker 9>on some of this build out with their large engines

0:15:38.440 --> 0:15:42.040
<v Speaker 9>and reciprocating the natural gas engines, which you know, initially

0:15:42.040 --> 0:15:44.560
<v Speaker 9>we're used more for backup power on the data centers,

0:15:44.560 --> 0:15:48.400
<v Speaker 9>but are becoming increasingly used in prime power applications. But

0:15:48.480 --> 0:15:51.440
<v Speaker 9>this is more than just a data center play. You're

0:15:51.560 --> 0:15:53.640
<v Speaker 9>just beginning to see. I think the fruits of that

0:15:53.760 --> 0:15:57.080
<v Speaker 9>in terms of the construction and mining recovery, which we

0:15:57.120 --> 0:15:59.920
<v Speaker 9>think have some legs into twenty seven and twenty eight.

0:16:00.880 --> 0:16:03.000
<v Speaker 6>You know, if Caterpillar has more demand than it knows

0:16:03.040 --> 0:16:05.600
<v Speaker 6>what to do with, and that power and Energy unit

0:16:05.640 --> 0:16:08.760
<v Speaker 6>has grown to be the largest for Caterpillar by sales

0:16:09.280 --> 0:16:12.119
<v Speaker 6>for the stuff that it can't take on. Who benefits

0:16:12.200 --> 0:16:15.160
<v Speaker 6>what other companies are kind of, you know, getting some

0:16:15.240 --> 0:16:16.880
<v Speaker 6>of the business that Caterpillar can't take on.

0:16:18.040 --> 0:16:20.640
<v Speaker 9>Right, So it's a race to add capacity. At this point,

0:16:21.120 --> 0:16:25.120
<v Speaker 9>Caterpillar is increasing their large engine capacity by three x

0:16:25.400 --> 0:16:29.440
<v Speaker 9>through the end of the decade, turbines by two and

0:16:29.520 --> 0:16:31.440
<v Speaker 9>a half times through the end of the decade. Come Ins,

0:16:31.480 --> 0:16:36.960
<v Speaker 9>another one of their competitors. They're also significantly increasing their capacity. Really,

0:16:36.960 --> 0:16:39.640
<v Speaker 9>it's just a matter of who has product availability is

0:16:39.840 --> 0:16:42.600
<v Speaker 9>to who's getting some of these contracts. Right now, the

0:16:42.640 --> 0:16:46.960
<v Speaker 9>industry really can't add capacity fast enough. That is one

0:16:47.040 --> 0:16:50.960
<v Speaker 9>of the overarching concerns now where we're adding too much capacity.

0:16:51.720 --> 0:16:54.640
<v Speaker 9>But right now, I mean, from all indications from this report,

0:16:54.960 --> 0:16:58.080
<v Speaker 9>it doesn't seem like there's any signs of that slowing down.

0:16:58.120 --> 0:17:00.000
<v Speaker 9>And in fact, some of their lead times have actually

0:17:00.200 --> 0:17:03.360
<v Speaker 9>extended this quarter. Like I mentioned, some of their customers

0:17:03.400 --> 0:17:06.080
<v Speaker 9>already taken orders out to twenty thirty, which you know,

0:17:06.200 --> 0:17:07.959
<v Speaker 9>highly unusual for them at this point.

0:17:09.200 --> 0:17:12.120
<v Speaker 2>Stay with us. More from Bloomberg Intelligence coming up after this.

0:17:16.240 --> 0:17:19.920
<v Speaker 1>You're listening to the Bloomberg Intelligence podcast. Catch us live

0:17:20.000 --> 0:17:23.120
<v Speaker 1>weekdays at ten am Eastern on Apple, Cocklay and Android

0:17:23.119 --> 0:17:26.440
<v Speaker 1>Auto with the Bloomberg Business App. Listen on demand wherever

0:17:26.480 --> 0:17:30.000
<v Speaker 1>you get your podcasts, or watch us live on YouTube.

0:17:30.600 --> 0:17:32.760
<v Speaker 2>All right, let's not go to the healthcare sector.

0:17:32.800 --> 0:17:35.480
<v Speaker 6>I'm not sure that those stocks are trading those kinds

0:17:35.480 --> 0:17:38.199
<v Speaker 6>of multiples. Let's bring Sam Fazzelli, who knows a thing

0:17:38.280 --> 0:17:41.560
<v Speaker 6>or two about the healthcare sector. He is our director

0:17:41.560 --> 0:17:44.159
<v Speaker 6>of research covering healthcare, defense industrials, and autos and he

0:17:44.200 --> 0:17:47.800
<v Speaker 6>joins us right now from London. So Sam, Pfizer and

0:17:47.920 --> 0:17:50.320
<v Speaker 6>Merk both coming out with the results. What is the

0:17:50.400 --> 0:17:53.320
<v Speaker 6>narrative here for these two big pharma companies.

0:17:54.280 --> 0:17:57.800
<v Speaker 10>Yeah, Scarlett, So the story here really is that you've

0:17:57.840 --> 0:18:03.640
<v Speaker 10>got two companies both heading and facing some significant patent expiries,

0:18:03.680 --> 0:18:06.080
<v Speaker 10>which means some of their big drugs are going to

0:18:06.119 --> 0:18:10.359
<v Speaker 10>go generic. And therefore they're going to say but things

0:18:10.400 --> 0:18:13.200
<v Speaker 10>like aliquists that fires the cells are going to fall

0:18:13.240 --> 0:18:15.199
<v Speaker 10>off a cliff literally, and they do call it a

0:18:15.240 --> 0:18:19.240
<v Speaker 10>pat cliff too. So within six months and eight ninety

0:18:19.280 --> 0:18:22.080
<v Speaker 10>percent of the volume can be eroded depending on the

0:18:22.080 --> 0:18:25.480
<v Speaker 10>way the generics come in. If there's any ones I

0:18:25.760 --> 0:18:28.440
<v Speaker 10>have six months exclusivity, then they don't drop the price

0:18:28.480 --> 0:18:31.280
<v Speaker 10>that much. But in the end, pretty much the business

0:18:31.359 --> 0:18:33.800
<v Speaker 10>goes away, which is great because that's what farmer companies

0:18:33.840 --> 0:18:37.800
<v Speaker 10>should do. They get their phenomenal dollars behind the R

0:18:37.800 --> 0:18:39.800
<v Speaker 10>and D, make a new drug, make a lot of

0:18:39.800 --> 0:18:42.320
<v Speaker 10>profit for ten years, eleven years, eight years, whatever the

0:18:42.359 --> 0:18:45.560
<v Speaker 10>length of time is. Then everybody gets gets access to

0:18:45.600 --> 0:18:47.920
<v Speaker 10>it at a much lower price, and work is the

0:18:47.960 --> 0:18:49.800
<v Speaker 10>same because they've got tutor coming up. So Both of

0:18:49.840 --> 0:18:53.720
<v Speaker 10>these companies are looking ahead to this issue. Both are

0:18:53.840 --> 0:18:57.680
<v Speaker 10>therefore stories about pipeline. What have I got to replace

0:18:57.720 --> 0:19:01.639
<v Speaker 10>this lost sales? Mark's holy potentially bigger at least just

0:19:01.720 --> 0:19:05.520
<v Speaker 10>basing that on the volume of sales today or value

0:19:05.520 --> 0:19:08.360
<v Speaker 10>of sales today. But yet, if you need to kind

0:19:08.359 --> 0:19:09.800
<v Speaker 10>of just done the chart. He I was looking at

0:19:09.800 --> 0:19:11.840
<v Speaker 10>it and playing with it. Now you look at Murg,

0:19:12.080 --> 0:19:16.440
<v Speaker 10>it's up sixty percent in twelve months. Sixty percent. That's

0:19:16.480 --> 0:19:20.040
<v Speaker 10>pretty much not far from where the SMP five hundred is.

0:19:20.520 --> 0:19:25.720
<v Speaker 10>Pfizer is up seven percent, So massive underperformance. Why because

0:19:25.920 --> 0:19:28.920
<v Speaker 10>one has been able to convince that they've got the pipeline,

0:19:29.160 --> 0:19:30.199
<v Speaker 10>the other one hasn't.

0:19:32.560 --> 0:19:36.320
<v Speaker 4>So sam are we is the number of drugs and

0:19:36.320 --> 0:19:39.320
<v Speaker 4>the amount of sales associated with those drugs potentially you know,

0:19:39.320 --> 0:19:41.080
<v Speaker 4>at risk or scheduled to come off? Pattern?

0:19:41.520 --> 0:19:42.960
<v Speaker 2>Is it more today.

0:19:42.600 --> 0:19:44.080
<v Speaker 4>Than it's been in the pass? It just seems like

0:19:44.080 --> 0:19:46.160
<v Speaker 4>we hear about it more and more from these big companies.

0:19:47.119 --> 0:19:51.000
<v Speaker 10>Well, yes and no, because you know we've had these

0:19:51.040 --> 0:19:53.840
<v Speaker 10>big patterners. The biggest pattern cliff was around the twenty

0:19:53.880 --> 0:19:57.760
<v Speaker 10>ten time frame where Pfizers themselves went on board sharing PLOW.

0:19:58.320 --> 0:20:00.439
<v Speaker 10>If I'm not mistaken. It's a long time, you know,

0:20:00.480 --> 0:20:04.520
<v Speaker 10>one is allowed a little bit of memory. Last in

0:20:04.600 --> 0:20:06.560
<v Speaker 10>my I think it was a sharing planer and bought

0:20:06.600 --> 0:20:10.160
<v Speaker 10>another company. Anyway, they bought. They did these mega mergers.

0:20:10.200 --> 0:20:11.960
<v Speaker 10>No remember the one we were talking about yesterday with

0:20:12.359 --> 0:20:15.000
<v Speaker 10>what Astro is doing, which is why I'm incredulous because

0:20:15.040 --> 0:20:17.719
<v Speaker 10>they don't have a patent expiry issue to deal with anyway,

0:20:18.880 --> 0:20:22.640
<v Speaker 10>there are Remember, the drugs are bigger now, the sales

0:20:22.640 --> 0:20:25.480
<v Speaker 10>are bigger now. So when you have a Cutruder that

0:20:25.560 --> 0:20:27.679
<v Speaker 10>I don't think anyone you go back and use our

0:20:27.800 --> 0:20:30.440
<v Speaker 10>modl function and have a look and see what people

0:20:30.480 --> 0:20:33.040
<v Speaker 10>thought Cutruder would be selling, which is a cancer drug

0:20:33.119 --> 0:20:38.080
<v Speaker 10>by Mark back in twenty sixteen, seventeen, maybe ten billion.

0:20:38.440 --> 0:20:40.800
<v Speaker 10>The thing is heading for forty billion dollars of sales

0:20:41.119 --> 0:20:44.879
<v Speaker 10>because it turned into a pipeline their product, and that

0:20:45.240 --> 0:20:47.640
<v Speaker 10>is a big number to play. Imagine our GLP wants

0:20:47.680 --> 0:20:52.080
<v Speaker 10>for Lily one day when when Munjaro goes off pattern

0:20:52.240 --> 0:20:55.080
<v Speaker 10>or whatever. Uh, how do you do deal with a

0:20:55.119 --> 0:20:59.480
<v Speaker 10>thirty forty billion dollar sales implosion? That is tougher, which

0:20:59.480 --> 0:21:02.120
<v Speaker 10>is why they talking about it more and investors are

0:21:02.840 --> 0:21:04.399
<v Speaker 10>if you want more focused.

0:21:04.000 --> 0:21:06.199
<v Speaker 6>On it right, makes a lot of sense. Before we

0:21:06.280 --> 0:21:09.440
<v Speaker 6>let you go, just a quick question on biointech. This

0:21:09.960 --> 0:21:12.400
<v Speaker 6>is of course a German drug maker, and it's still

0:21:12.400 --> 0:21:15.040
<v Speaker 6>talking about a COVID nineteen vaccine demand shrinking for that

0:21:15.600 --> 0:21:18.720
<v Speaker 6>is there? What does demand for a COVID nineteen vaccine

0:21:18.760 --> 0:21:21.080
<v Speaker 6>look like right now? I mean, certainly in the US

0:21:21.080 --> 0:21:23.760
<v Speaker 6>it kind of has dropped off the conversation completely.

0:21:24.880 --> 0:21:27.679
<v Speaker 10>Yeah, I mean, so people still taking it. I mean,

0:21:27.680 --> 0:21:29.679
<v Speaker 10>what's happening with COVID, which is very interesting is that

0:21:29.720 --> 0:21:34.040
<v Speaker 10>we've had four years since the pandemic. We've had two waves.

0:21:34.720 --> 0:21:38.639
<v Speaker 10>This year, the summer waves disappeared. It seems to be

0:21:38.720 --> 0:21:42.320
<v Speaker 10>heading if this sticks to a winter wave, which is

0:21:42.320 --> 0:21:46.480
<v Speaker 10>what other coronaviruses and most cold viruses seem to have.

0:21:46.680 --> 0:21:49.760
<v Speaker 10>So this would mean that if there was any demand

0:21:50.040 --> 0:21:53.040
<v Speaker 10>for the summer period, that's fallen, by the way, So

0:21:53.200 --> 0:21:56.200
<v Speaker 10>and they just downgraded their guidance by about ten percent

0:21:56.240 --> 0:21:59.320
<v Speaker 10>for the full year, but Moderna has been sticking with

0:21:59.359 --> 0:22:02.120
<v Speaker 10>this guidance. Someple competition were in on there, ethic.

0:22:03.600 --> 0:22:08.280
<v Speaker 1>This is the Bloomberg Intelligence podcast, available on Apple, Spotify,

0:22:08.480 --> 0:22:11.920
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0:22:15.840 --> 0:22:19.359
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0:22:19.800 --> 0:22:22.680
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