WEBVTT - BI Weekend: NYC Casinos, Macy’s, Salesforce Earnings 

0:00:00.240 --> 0:00:11.240
<v Speaker 1>Bloomberg Audio, Studios, podcasts, radio News. This is Bloomberg Intelligence

0:00:11.320 --> 0:00:13.400
<v Speaker 1>with Scarletfoo and Paul Sweeney.

0:00:13.520 --> 0:00:15.600
<v Speaker 2>How do you think the FED is looking at tariffs?

0:00:15.760 --> 0:00:16.960
<v Speaker 2>The uncertainty of terriffs.

0:00:17.040 --> 0:00:19.119
<v Speaker 3>Let's take a look at the sectors and how they.

0:00:19.120 --> 0:00:21.360
<v Speaker 2>Performed a lot of investors getting whip salt every day

0:00:21.400 --> 0:00:22.160
<v Speaker 2>by news.

0:00:21.880 --> 0:00:26.040
<v Speaker 1>Events, breaking market headlines, and corporate news from across the globe.

0:00:26.040 --> 0:00:28.639
<v Speaker 4>Could we see a market disruption of market events?

0:00:28.720 --> 0:00:30.760
<v Speaker 2>So people just too exuberant out there?

0:00:30.880 --> 0:00:33.479
<v Speaker 4>You see some so called low quality stocks driving this

0:00:33.520 --> 0:00:34.320
<v Speaker 4>short term rally.

0:00:34.360 --> 0:00:39.120
<v Speaker 1>Bloomberg Intelligence with Scarletfoo and Paul Sweeney on Bloomberg Radio,

0:00:39.320 --> 0:00:41.200
<v Speaker 1>YouTube and Bloomberg Originals.

0:00:42.200 --> 0:00:44.880
<v Speaker 3>I'm Paul Sweeney and I'm marm Melinda filling in for Scarlettfoo.

0:00:45.000 --> 0:00:47.360
<v Speaker 2>On today's Bloomberg Intelligence Show. We dig inside the big

0:00:47.360 --> 0:00:49.960
<v Speaker 2>business stories impacting Wall Street and the global markets.

0:00:50.200 --> 0:00:52.440
<v Speaker 3>Each and every week, we provide in depth research and

0:00:52.560 --> 0:00:54.480
<v Speaker 3>data on some of the two thousand companies and one

0:00:54.560 --> 0:00:57.280
<v Speaker 3>hundred and thirty industries are analysts cover worldwide.

0:00:57.360 --> 0:01:00.120
<v Speaker 2>Today, we'll look at why the cloud based software company

0:01:00.160 --> 0:01:02.800
<v Speaker 2>Salesforce gave a strong outlook for sales in the current quarter.

0:01:03.080 --> 0:01:05.480
<v Speaker 3>Class well dive into why shares of the aerospace company

0:01:05.520 --> 0:01:08.480
<v Speaker 3>Airbus plunged and how this might affect the delivery of

0:01:08.480 --> 0:01:10.000
<v Speaker 3>its newly produced jets.

0:01:10.160 --> 0:01:12.280
<v Speaker 2>But first we begin with some news in the casino

0:01:12.360 --> 0:01:13.200
<v Speaker 2>and gaming space.

0:01:13.560 --> 0:01:16.240
<v Speaker 3>This week, New York Mets owner Steve Cohen won approval

0:01:16.280 --> 0:01:18.800
<v Speaker 3>to operate a casino next to City Fields and Queens.

0:01:19.080 --> 0:01:22.200
<v Speaker 2>It's one of the three projects select different gambling licenses

0:01:22.240 --> 0:01:24.040
<v Speaker 2>in New York City, and this was done by the

0:01:24.080 --> 0:01:26.760
<v Speaker 2>State Gaming Commission's Facility Location Board.

0:01:27.080 --> 0:01:29.720
<v Speaker 3>Cohen, the Hedge Fund Mobile submitted an eight billion dollar

0:01:29.840 --> 0:01:33.080
<v Speaker 3>casino proposal with partner hard Rock International and was picked

0:01:33.080 --> 0:01:37.080
<v Speaker 3>alongside genting groups Resorts World and Ballys. These three projects

0:01:37.080 --> 0:01:40.440
<v Speaker 3>are expected to generate significant revenue and create thousands of

0:01:40.520 --> 0:01:41.160
<v Speaker 3>jobs for.

0:01:41.200 --> 0:01:43.400
<v Speaker 2>More and all. This guest host Alex Simonova and I

0:01:43.480 --> 0:01:46.080
<v Speaker 2>were joined by Brian Eggert, Bloomberg Intelligence senior Gaming and

0:01:46.160 --> 0:01:49.080
<v Speaker 2>launching analysts. We first asked Brian to talk about what

0:01:49.200 --> 0:01:51.919
<v Speaker 2>the licenses represent and where we go from here.

0:01:52.040 --> 0:01:55.520
<v Speaker 5>So this is a fairly protractive process involving ultimately di

0:01:55.560 --> 0:01:57.840
<v Speaker 5>selection of three recipients. By the way, the only three

0:01:57.920 --> 0:02:00.840
<v Speaker 5>left in the running after a few others were limited

0:02:00.960 --> 0:02:06.080
<v Speaker 5>and dropped out, and really it authorized resort casinos for

0:02:06.280 --> 0:02:08.760
<v Speaker 5>the downstate New York area, mostly in New York City.

0:02:08.800 --> 0:02:12.320
<v Speaker 5>And as it turns out, the three qualified casino applicants,

0:02:12.320 --> 0:02:14.800
<v Speaker 5>if you will, really are are in New York City

0:02:14.800 --> 0:02:16.880
<v Speaker 5>but outside the Borough of Manhattan itself.

0:02:17.240 --> 0:02:21.079
<v Speaker 4>Brian, just looking at your note on these license approvals,

0:02:21.120 --> 0:02:24.440
<v Speaker 4>you write that they face a narrow path to decent

0:02:24.520 --> 0:02:26.480
<v Speaker 4>returns on investment. Can you please talk to us a

0:02:26.520 --> 0:02:27.680
<v Speaker 4>little bit more about that idea?

0:02:28.800 --> 0:02:30.880
<v Speaker 5>Sure? So, what we assume for those resorts is they

0:02:30.919 --> 0:02:34.840
<v Speaker 5>will get what I would call a gaming revenue premium

0:02:34.880 --> 0:02:38.360
<v Speaker 5>and room rate premium of ten twenty percent to other

0:02:39.000 --> 0:02:43.120
<v Speaker 5>kind of high end urban area resorts such as the

0:02:43.120 --> 0:02:47.799
<v Speaker 5>Burgata and Atlantic City wins Encore in Boston. However, are

0:02:47.880 --> 0:02:50.760
<v Speaker 5>concerned if in terms of the return prospects are that

0:02:51.120 --> 0:02:54.160
<v Speaker 5>development costs are quite high and perhaps some of the

0:02:54.240 --> 0:02:58.520
<v Speaker 5>targeted non gaming contribution elements might be a bit ambitious.

0:02:58.520 --> 0:03:00.840
<v Speaker 5>So for that reason, when we worked the numbers, we

0:03:00.919 --> 0:03:04.040
<v Speaker 5>came up with something like a ten percent return on investment,

0:03:04.080 --> 0:03:07.920
<v Speaker 5>which is certainly a bit less than most operators would

0:03:07.919 --> 0:03:10.400
<v Speaker 5>expect to attain in these regional markets.

0:03:11.120 --> 0:03:14.079
<v Speaker 2>So I'm thinking here I mean again, I'm just thinking

0:03:14.080 --> 0:03:17.080
<v Speaker 2>about Steve Cohen's I was looking at his plans in

0:03:17.120 --> 0:03:20.160
<v Speaker 2>conjunction with his city field. He obviously he owns the Mets.

0:03:20.560 --> 0:03:23.919
<v Speaker 2>City field is out there, the National Tennis centers out there.

0:03:24.000 --> 0:03:26.200
<v Speaker 2>We had the world's fair situations, so there's a ton

0:03:26.240 --> 0:03:29.480
<v Speaker 2>of opportunity out there. It seems like these are going

0:03:29.520 --> 0:03:35.040
<v Speaker 2>to be more retail hotel than casino. How do you

0:03:35.040 --> 0:03:36.920
<v Speaker 2>think the mix of revenue is going to be there?

0:03:37.680 --> 0:03:39.960
<v Speaker 5>So this certainly is I think when we work the numbers,

0:03:40.760 --> 0:03:45.400
<v Speaker 5>we assume that with respect to either food and beverage

0:03:45.440 --> 0:03:49.080
<v Speaker 5>or retail entertainment revenue, those will be fairly sizable chunks

0:03:49.080 --> 0:03:53.360
<v Speaker 5>of the overall revenue PI probably cuatively close to half,

0:03:53.440 --> 0:03:57.280
<v Speaker 5>which is true of many kind of gaming resorts in

0:03:58.840 --> 0:04:01.480
<v Speaker 5>attractive environments get a lot of non gaming revenue. I

0:04:01.520 --> 0:04:04.400
<v Speaker 5>think the same will be true here. The question is

0:04:04.680 --> 0:04:06.880
<v Speaker 5>will it be enough and will be margins which we

0:04:07.280 --> 0:04:10.120
<v Speaker 5>take to be about thirty percent, be sufficient to get

0:04:10.200 --> 0:04:12.840
<v Speaker 5>a good return. But certainly, you know the logic of

0:04:12.840 --> 0:04:15.240
<v Speaker 5>having at nexas city field makes a lot of sense.

0:04:15.320 --> 0:04:18.440
<v Speaker 5>You know, the other locations valleys and a golf course

0:04:18.480 --> 0:04:21.320
<v Speaker 5>in the Bronx. You know, the the resorts world in

0:04:21.440 --> 0:04:25.359
<v Speaker 5>Queen's pretty much expanding and existing facility all have their merit.

0:04:25.400 --> 0:04:28.320
<v Speaker 5>The question is will be enough to get a decent return,

0:04:28.400 --> 0:04:32.160
<v Speaker 5>But certainly some of these locations have rational prospects.

0:04:32.760 --> 0:04:35.360
<v Speaker 4>What does this victory for these three companies mean for

0:04:35.400 --> 0:04:39.000
<v Speaker 4>their competitors like Sands MGM, When where do they go

0:04:39.080 --> 0:04:39.559
<v Speaker 4>from here?

0:04:40.560 --> 0:04:43.360
<v Speaker 5>So to be queer, You know, Sans exited this process

0:04:43.480 --> 0:04:48.280
<v Speaker 5>back in April. When exited in May, it's Hudson York

0:04:48.360 --> 0:04:52.599
<v Speaker 5>project because of community opposition at MGM in October because

0:04:52.600 --> 0:04:54.560
<v Speaker 5>of the licensed terms. But bear in mind that they

0:04:54.560 --> 0:04:57.479
<v Speaker 5>do have other prospects. You know, when is developing a

0:04:57.640 --> 0:05:01.720
<v Speaker 5>UAE resort of its own, gm is building in Osaka, Japan.

0:05:02.680 --> 0:05:04.320
<v Speaker 5>They all can buy back in their own stock. So

0:05:04.320 --> 0:05:09.200
<v Speaker 5>I think they're weighing this particular opportunity relative to other

0:05:09.279 --> 0:05:10.480
<v Speaker 5>development prospects.

0:05:10.960 --> 0:05:12.840
<v Speaker 2>So we're going to get the licenses by year end.

0:05:14.240 --> 0:05:16.800
<v Speaker 2>What's the time taime if anybody any of these three

0:05:17.240 --> 0:05:19.600
<v Speaker 2>licensed winners lay out of timetable for getting a shovel

0:05:19.600 --> 0:05:21.880
<v Speaker 2>in the ground and maybe even opening the doors.

0:05:22.680 --> 0:05:25.800
<v Speaker 5>So I think it'll vary by operator. But the expectations

0:05:25.800 --> 0:05:30.120
<v Speaker 5>that these resorts will generally open by twenty thirty or so.

0:05:30.560 --> 0:05:32.599
<v Speaker 5>It'll take a few years to develop. There was always

0:05:32.600 --> 0:05:37.200
<v Speaker 5>the possibility of construction challenges, but that's the target. And

0:05:37.240 --> 0:05:40.480
<v Speaker 5>of course our related to concerns since you mentioned MGM

0:05:41.080 --> 0:05:44.839
<v Speaker 5>was MGM Ballely's Caesars O operaate casinos in Atlantic City,

0:05:45.480 --> 0:05:50.000
<v Speaker 5>and you know, the proximity to Alantic City of resorts

0:05:50.040 --> 0:05:54.040
<v Speaker 5>with casino elements at this caliber certainly presents a potential

0:05:54.120 --> 0:05:56.000
<v Speaker 5>competitive challenge to Atlantic City itself.

0:05:56.600 --> 0:06:01.120
<v Speaker 2>AC. That's tough. That's tough because I would see you know,

0:06:01.480 --> 0:06:03.120
<v Speaker 2>on the parkway, Brian, I know you see it too.

0:06:03.480 --> 0:06:05.760
<v Speaker 2>We have for years, for twenty thirty years, we've seen

0:06:05.800 --> 0:06:09.080
<v Speaker 2>the limousines from New York City going down the Parkway

0:06:09.120 --> 0:06:11.520
<v Speaker 2>to AC. That's going to get it impacted, isn't.

0:06:11.279 --> 0:06:15.560
<v Speaker 5>It It will? I think you know, some operaters Burgata,

0:06:15.600 --> 0:06:18.960
<v Speaker 5>for example, a hard rock may hold up better than others.

0:06:19.040 --> 0:06:21.080
<v Speaker 5>But you know, there's always a challenge when you've got

0:06:21.400 --> 0:06:25.200
<v Speaker 5>this much additional gaming capacity with resort elements opening up

0:06:25.800 --> 0:06:29.720
<v Speaker 5>in relative close proximity to a to a key Atlantic

0:06:29.720 --> 0:06:30.680
<v Speaker 5>City feeder market.

0:06:31.160 --> 0:06:34.039
<v Speaker 3>Our thanks to Brian Eger, Bloomberg Intelligence Senior Gaming and

0:06:34.080 --> 0:06:35.039
<v Speaker 3>Lodging analysts.

0:06:35.080 --> 0:06:36.599
<v Speaker 2>We move now to the retail space.

0:06:36.800 --> 0:06:39.840
<v Speaker 3>This week, the department store chains Macy's posted better than

0:06:39.839 --> 0:06:42.839
<v Speaker 3>expected results last quarter. However, shares dropped if the company

0:06:42.880 --> 0:06:45.480
<v Speaker 3>pointed to a potential for soft demand from low income

0:06:45.520 --> 0:06:46.680
<v Speaker 3>shoppers for the current quarter.

0:06:47.120 --> 0:06:49.400
<v Speaker 2>For more, Nora and I were joined by Mary Ross

0:06:49.440 --> 0:06:52.520
<v Speaker 2>and Gilbert Bloomberg Intelligence senior equity analyst covering retail.

0:06:52.680 --> 0:06:55.360
<v Speaker 3>We first asked Mary to break down Macy's most recent quarter.

0:06:55.600 --> 0:06:58.640
<v Speaker 6>We saw, actually, I think great results coming out of

0:06:58.680 --> 0:07:03.120
<v Speaker 6>Macy's see but the company put out conservative fourth quarter

0:07:03.240 --> 0:07:06.560
<v Speaker 6>guidance and that's really what they always do. They seek

0:07:06.600 --> 0:07:09.440
<v Speaker 6>to beat their numbers, and so that guidance came in

0:07:09.640 --> 0:07:11.920
<v Speaker 6>very close, you know, at the high end. It's right

0:07:11.920 --> 0:07:15.040
<v Speaker 6>around where analysts are because they already saw strong results

0:07:15.080 --> 0:07:19.240
<v Speaker 6>come in from other retailers. But we think, when we

0:07:19.280 --> 0:07:23.000
<v Speaker 6>think about it, we think there's upside here. So we

0:07:23.160 --> 0:07:27.680
<v Speaker 6>really view the results as look Macy's name plate because

0:07:27.680 --> 0:07:29.640
<v Speaker 6>of all the changes that they're making, and what that

0:07:29.720 --> 0:07:32.920
<v Speaker 6>means is they're bringing in more relevant brands that are

0:07:32.920 --> 0:07:36.679
<v Speaker 6>resonating with their consumer. Not only that, but the stores

0:07:36.720 --> 0:07:41.400
<v Speaker 6>look brighter. There's really kind of exciting music in the stores.

0:07:41.520 --> 0:07:46.280
<v Speaker 6>The store associates are more engaged with the customer. We've

0:07:46.280 --> 0:07:49.080
<v Speaker 6>noticed that on our channel text, particularly on Black Friday,

0:07:49.480 --> 0:07:52.280
<v Speaker 6>we saw more traffic in the store than we've seen

0:07:52.320 --> 0:07:56.280
<v Speaker 6>in years past. So we think that the changes that

0:07:56.480 --> 0:08:00.360
<v Speaker 6>CEO Tony Sprain is making and he's really making his

0:08:00.480 --> 0:08:04.640
<v Speaker 6>cues from what he's done at Bloomingdale's, it's resonating, it's working,

0:08:04.680 --> 0:08:07.600
<v Speaker 6>and so we think this momentum is building and we

0:08:07.680 --> 0:08:09.840
<v Speaker 6>certainly saw it in the third quarter numbers with comp

0:08:09.920 --> 0:08:13.960
<v Speaker 6>sales two point seven percent for the Go Forwards stores,

0:08:14.480 --> 0:08:17.800
<v Speaker 6>and so with that, I mean that's a big improvement sequentially,

0:08:18.200 --> 0:08:20.600
<v Speaker 6>and so we think that's building, you know, going into

0:08:20.640 --> 0:08:23.720
<v Speaker 6>the fourth quarter and just with you know, the constant

0:08:23.760 --> 0:08:25.240
<v Speaker 6>improvement that we're seeing there.

0:08:25.720 --> 0:08:27.920
<v Speaker 3>So when most people think about the retail space right now,

0:08:27.960 --> 0:08:31.160
<v Speaker 3>a lot of people think about the transition to e commerce,

0:08:31.160 --> 0:08:33.040
<v Speaker 3>but it sounds as though, from what you're explaining, a

0:08:33.040 --> 0:08:35.280
<v Speaker 3>lot of people are going there in person. I mean,

0:08:35.320 --> 0:08:38.040
<v Speaker 3>I'm looking at Coals, I'm looking at Dillard's. What are

0:08:38.080 --> 0:08:41.360
<v Speaker 3>they doing in particular that's really attracting customers to come

0:08:41.400 --> 0:08:44.800
<v Speaker 3>through the doors. Is it also collaborations with celebrities by chance?

0:08:45.360 --> 0:08:48.280
<v Speaker 6>Yes, you raised a valid point, and it is. It

0:08:48.320 --> 0:08:53.440
<v Speaker 6>does include collaborations. So for example, they Aqua you know,

0:08:53.520 --> 0:08:56.839
<v Speaker 6>they're under their Bloomingdale's brand currently has a collapse going

0:08:56.880 --> 0:09:02.120
<v Speaker 6>out with a designer out to move on and so yes,

0:09:02.160 --> 0:09:06.240
<v Speaker 6>these collaborations also even you know, they'll have some events.

0:09:06.800 --> 0:09:09.439
<v Speaker 7>But all of that is is certainly drawing.

0:09:09.200 --> 0:09:12.480
<v Speaker 6>In new customers and I think Macy's nameplate could certainly

0:09:12.520 --> 0:09:15.760
<v Speaker 6>do more on that end. They had their first collab

0:09:15.800 --> 0:09:18.680
<v Speaker 6>with their on thirty fourth brand this year, but we

0:09:18.720 --> 0:09:20.800
<v Speaker 6>think we're going to see more next year because if

0:09:20.840 --> 0:09:23.320
<v Speaker 6>you look at what Dillard's has been doing over the

0:09:23.360 --> 0:09:27.280
<v Speaker 6>last few years, and they have a different business model

0:09:27.320 --> 0:09:30.800
<v Speaker 6>than Macy's does. They're not really promotional. For example, for

0:09:31.160 --> 0:09:34.280
<v Speaker 6>Black Friday, they just had clearance sales and it was

0:09:34.440 --> 0:09:37.520
<v Speaker 6>pretty comparable to last year, so that didn't mean that

0:09:37.559 --> 0:09:39.520
<v Speaker 6>the rest of the merchandise was on sale.

0:09:39.559 --> 0:09:43.000
<v Speaker 7>Macy's the you know, is far more promotional.

0:09:43.360 --> 0:09:47.880
<v Speaker 6>But by doing collaborations, you know, by getting celebrities involved.

0:09:47.960 --> 0:09:50.840
<v Speaker 6>So for example, for the holiday, they have Jennifer Hudson

0:09:51.960 --> 0:09:56.120
<v Speaker 6>that's you know, fronting their campaign for the holiday, and

0:09:56.120 --> 0:10:01.320
<v Speaker 6>they're also engaging with social influencers. Yes, all of that

0:10:01.440 --> 0:10:04.400
<v Speaker 6>is resonating. We're seeing it with other brands, like for

0:10:04.440 --> 0:10:08.520
<v Speaker 6>example with American Eagle, which just tapped Martha Stewart and

0:10:08.559 --> 0:10:10.400
<v Speaker 6>that that's appealing to gen Z.

0:10:11.360 --> 0:10:13.320
<v Speaker 3>Oh wow, so one.

0:10:14.520 --> 0:10:18.679
<v Speaker 6>Yeah, so these bold campaigns that these brands are doing,

0:10:18.800 --> 0:10:22.880
<v Speaker 6>Macy's is also getting involved there and they're dipping there

0:10:22.880 --> 0:10:24.720
<v Speaker 6>to I would say, they're dipping their toe in the water.

0:10:24.760 --> 0:10:27.880
<v Speaker 6>But I think we're going to see that increase, you know,

0:10:27.960 --> 0:10:31.320
<v Speaker 6>and build as we get into twenty twenty six. And

0:10:31.360 --> 0:10:33.760
<v Speaker 6>when you talk about the digital business, because of course

0:10:33.760 --> 0:10:37.600
<v Speaker 6>you're always hearing let's say, stronger growth on digital. For example,

0:10:37.640 --> 0:10:40.719
<v Speaker 6>when we looked at Black Friday, you know, over the

0:10:40.760 --> 0:10:44.880
<v Speaker 6>weekend through Cyber Monday, the sales strength was really led

0:10:45.120 --> 0:10:48.720
<v Speaker 6>by digital. Digital was up double digits versus you know,

0:10:48.840 --> 0:10:51.080
<v Speaker 6>load to mid single digits for in store.

0:10:51.600 --> 0:10:55.760
<v Speaker 7>So I think that's really positive there.

0:10:55.840 --> 0:10:57.760
<v Speaker 6>But so when we look at Macy's, a third of

0:10:57.800 --> 0:11:00.920
<v Speaker 6>their sales come from digital, so still in the store

0:11:01.320 --> 0:11:04.440
<v Speaker 6>is very big, but it's also omni channel well, the

0:11:04.480 --> 0:11:07.520
<v Speaker 6>ability to buy online, take back in store, or buy

0:11:07.559 --> 0:11:08.840
<v Speaker 6>online pickup in store.

0:11:09.480 --> 0:11:11.840
<v Speaker 2>Just real quick, thirty seconds, what's macy saying about the

0:11:11.840 --> 0:11:12.680
<v Speaker 2>consumer out there.

0:11:13.480 --> 0:11:16.240
<v Speaker 6>Yeah, So they're saying that the lower end consumer is

0:11:16.360 --> 0:11:20.280
<v Speaker 6>really feeling pinched, and that's where they're seeing some challenges

0:11:20.320 --> 0:11:22.440
<v Speaker 6>on some of the price increases on their lower price

0:11:22.480 --> 0:11:26.520
<v Speaker 6>point items. But the higher middle income, in the higher

0:11:26.559 --> 0:11:31.800
<v Speaker 6>income consumer is resilient and they haven't flashed or batter

0:11:31.840 --> 0:11:35.560
<v Speaker 6>DENI with higher prices that they took to offset tariffs,

0:11:35.559 --> 0:11:36.520
<v Speaker 6>and they're still buying.

0:11:37.120 --> 0:11:40.320
<v Speaker 2>Thanks to Mary Ross Gilbert Bloomberg Intelligence, senior equity analyst

0:11:40.360 --> 0:11:41.000
<v Speaker 2>covering retail.

0:11:41.240 --> 0:11:43.120
<v Speaker 3>Coming up, we continue in the retail space and look

0:11:43.160 --> 0:11:45.319
<v Speaker 3>at earnings from the discout retailer dollar.

0:11:45.080 --> 0:11:49.320
<v Speaker 2>Tree listening to Bloomberg Intelligence on Bloomberg Radio, providing research

0:11:49.360 --> 0:11:51.240
<v Speaker 2>and data on two thousand companies and one hundred and

0:11:51.280 --> 0:11:51.960
<v Speaker 2>thirty industries.

0:11:52.120 --> 0:11:54.520
<v Speaker 3>You can access Bloomberg Intelligence via b I go on

0:11:54.600 --> 0:11:56.959
<v Speaker 3>the terminal. I'm normal Linda, and I'm Paul.

0:11:56.800 --> 0:11:58.320
<v Speaker 2>Sweeney, and this is Bloomberg.

0:12:02.679 --> 0:12:07.199
<v Speaker 1>This is Bloomberg Intelligence with Scarlett Foo and Paul Sweeney

0:12:07.520 --> 0:12:08.840
<v Speaker 1>on Bloomberg Radio.

0:12:09.600 --> 0:12:11.720
<v Speaker 3>I'm Paul Sweeney and I'm normal Linda, filling in for

0:12:11.720 --> 0:12:12.280
<v Speaker 3>Scarlet Foo.

0:12:12.640 --> 0:12:15.680
<v Speaker 2>We continue into retail space. This week, dollar Tree reported

0:12:15.679 --> 0:12:18.600
<v Speaker 2>better than expected profit and raised its full year outlook.

0:12:18.840 --> 0:12:21.079
<v Speaker 3>It's a sign that the discount retailer is capturing more

0:12:21.080 --> 0:12:23.719
<v Speaker 3>spending from stretched shoppers. For more of this, Paul and

0:12:23.760 --> 0:12:26.559
<v Speaker 3>I were joined by Lilly Meyer, Bloomberg Retail reporter.

0:12:26.480 --> 0:12:29.360
<v Speaker 2>First ass Lily to break down Dollar Tree's most recent quarter.

0:12:29.600 --> 0:12:29.800
<v Speaker 8>Yeah.

0:12:29.800 --> 0:12:33.079
<v Speaker 9>So Dollar Tree did well this quarter at matt expectations

0:12:33.160 --> 0:12:36.880
<v Speaker 9>on revenue and same store sales, and it raised its

0:12:37.200 --> 0:12:40.600
<v Speaker 9>profit outlook for the year. I think they really have

0:12:40.720 --> 0:12:44.160
<v Speaker 9>hit a niche in being able to capture consumers, both

0:12:44.160 --> 0:12:47.640
<v Speaker 9>lower end consumers who need cheaper goods and then high

0:12:47.720 --> 0:12:49.840
<v Speaker 9>income consumers who are looking to trade down.

0:12:50.360 --> 0:12:52.800
<v Speaker 3>So, I mean, what do we think about elasticity of

0:12:52.880 --> 0:12:54.960
<v Speaker 3>the lower end consumer right now? Because I mean, if

0:12:55.000 --> 0:12:56.760
<v Speaker 3>you think about Walmart, I used to think of this

0:12:56.800 --> 0:12:59.680
<v Speaker 3>as a company that you know, was a cheaper place

0:12:59.679 --> 0:13:01.360
<v Speaker 3>to show, but it seems as though it's appealing to

0:13:01.480 --> 0:13:04.439
<v Speaker 3>multiple consumer types. But it seems as a dollar Tree

0:13:04.480 --> 0:13:06.720
<v Speaker 3>really is a great place for the lower end consumer.

0:13:07.040 --> 0:13:09.760
<v Speaker 9>Yeah, and actually recently dollar Tree has been looking to

0:13:09.840 --> 0:13:12.720
<v Speaker 9>kind of break into that higher income shopper as well.

0:13:12.800 --> 0:13:16.200
<v Speaker 9>So it has this pricing strategy, so it has some

0:13:16.480 --> 0:13:19.360
<v Speaker 9>products that are still cheaper, but then it has some

0:13:19.520 --> 0:13:22.480
<v Speaker 9>it's getting more products that are more expensive.

0:13:23.440 --> 0:13:27.920
<v Speaker 2>What is Dollar Tree saying about its core consumer out there?

0:13:28.520 --> 0:13:30.319
<v Speaker 2>Who is that core consumer and how are they behaving?

0:13:30.679 --> 0:13:32.960
<v Speaker 9>Yeah, so I think it's core consumer is still a

0:13:33.040 --> 0:13:35.960
<v Speaker 9>lower income shopper. Eighty five percent of their products are

0:13:36.000 --> 0:13:38.560
<v Speaker 9>two dollars an under, so they really still have a

0:13:38.559 --> 0:13:39.200
<v Speaker 9>lot of value.

0:13:39.280 --> 0:13:40.239
<v Speaker 3>So they're seeing.

0:13:39.960 --> 0:13:43.200
<v Speaker 9>Those shoppers continue to go in. But this quarter they

0:13:43.200 --> 0:13:46.680
<v Speaker 9>saw traffic down and they attributed that to tariff increases.

0:13:46.920 --> 0:13:48.720
<v Speaker 3>But what's the takeaway in terms of the outlook. I mean,

0:13:48.760 --> 0:13:50.880
<v Speaker 3>you talked about tariff still being a drag here.

0:13:51.240 --> 0:13:53.680
<v Speaker 9>Yeah, so tariffs will really dragged this quarter. They said

0:13:53.679 --> 0:13:55.679
<v Speaker 9>that's going to lessen, So I think this was the

0:13:55.760 --> 0:13:59.160
<v Speaker 9>quarter where we're really seeing the biggest tariff impact. It'll

0:13:59.200 --> 0:14:02.760
<v Speaker 9>be really interesting to see what they predict for consumers

0:14:02.960 --> 0:14:06.400
<v Speaker 9>next year. I'm interested to hear about that and also

0:14:06.440 --> 0:14:08.440
<v Speaker 9>what they see for holiday if they continue to see

0:14:08.480 --> 0:14:10.760
<v Speaker 9>hire income shoppers trading down for gifts.

0:14:11.000 --> 0:14:14.920
<v Speaker 2>Is the dollar stores do they see a surgeon sales

0:14:15.240 --> 0:14:17.760
<v Speaker 2>seasonal surge and sales from holiday sales that Do they

0:14:17.800 --> 0:14:19.760
<v Speaker 2>see that like a department store would.

0:14:20.080 --> 0:14:22.080
<v Speaker 9>Yeah, I don't know if it's the same surge, but

0:14:22.240 --> 0:14:24.120
<v Speaker 9>you know, they sell a lot of gift wrapping and

0:14:24.240 --> 0:14:27.360
<v Speaker 9>gift bags and some of those smaller gifts stocking stuffer,

0:14:27.440 --> 0:14:29.000
<v Speaker 9>so I think they see a lot of that around

0:14:29.040 --> 0:14:29.680
<v Speaker 9>the holidays.

0:14:30.160 --> 0:14:31.880
<v Speaker 3>So what are we seeing in terms of just the

0:14:31.880 --> 0:14:34.120
<v Speaker 3>broader read on the retail space? This kind of gives

0:14:34.200 --> 0:14:35.880
<v Speaker 3>us a picture of the lower end consumer, But what

0:14:35.920 --> 0:14:37.040
<v Speaker 3>are you seeing across the board?

0:14:37.400 --> 0:14:40.440
<v Speaker 9>So broadly, we're really still seeing consumer spend, So there

0:14:40.440 --> 0:14:43.000
<v Speaker 9>hasn't been that massive pullback that I think some of

0:14:43.040 --> 0:14:46.280
<v Speaker 9>us were imagining might happen. We're still seeing consumer spend,

0:14:46.320 --> 0:14:48.640
<v Speaker 9>but they're really value driven, so they're looking for the

0:14:48.640 --> 0:14:51.800
<v Speaker 9>best deals they can get. They're trading down when they

0:14:51.840 --> 0:14:53.920
<v Speaker 9>need to, They're stocking up on essentials.

0:14:54.880 --> 0:14:59.440
<v Speaker 2>How promotional are retailers right now? Because I'm in I know,

0:14:59.760 --> 0:15:02.840
<v Speaker 2>talk to Punham Gooile, the retail analyst Bloomberg Intelligence. She says,

0:15:02.880 --> 0:15:05.160
<v Speaker 2>you know, the more promotions you see out there, that's

0:15:05.200 --> 0:15:07.000
<v Speaker 2>going to be that goes right to the margins, the

0:15:07.000 --> 0:15:10.040
<v Speaker 2>profit margins of some of these retailers. What are we

0:15:10.080 --> 0:15:10.760
<v Speaker 2>seeing this season?

0:15:11.000 --> 0:15:13.200
<v Speaker 9>That's a good question. So this season, we've actually seen

0:15:13.280 --> 0:15:16.480
<v Speaker 9>some retailers pull back on deals to protect their margin.

0:15:17.080 --> 0:15:19.200
<v Speaker 9>So some companies are doing that as part of a

0:15:19.200 --> 0:15:21.480
<v Speaker 9>broader strategy, and then some are having to do that

0:15:21.560 --> 0:15:24.440
<v Speaker 9>because of tariff. So, you know, for Black Friday, typically

0:15:24.520 --> 0:15:27.200
<v Speaker 9>they'd offer big discounts and some are pulling back or

0:15:27.240 --> 0:15:28.680
<v Speaker 9>not offering discounts at all.

0:15:29.360 --> 0:15:32.480
<v Speaker 3>So consumers have still been broadly spending in the retail space.

0:15:32.600 --> 0:15:34.880
<v Speaker 3>What are they spending on? Is it? You know, are

0:15:34.880 --> 0:15:39.920
<v Speaker 3>we spending money on essentials right now? Skipping this lurging? Yeah, yeah,

0:15:39.960 --> 0:15:40.960
<v Speaker 3>that's exactly it.

0:15:41.040 --> 0:15:43.240
<v Speaker 9>So Black Friday, we talked to a lot of folks

0:15:43.280 --> 0:15:45.960
<v Speaker 9>who were saying they're going to just get essentials this

0:15:46.080 --> 0:15:49.440
<v Speaker 9>Black Friday. So instead of buying, you know, a Lake Crusette,

0:15:49.520 --> 0:15:52.600
<v Speaker 9>Dutch oven, they were We talked to someone who instead

0:15:52.680 --> 0:15:55.040
<v Speaker 9>was going to buy like three bags of forty pounds

0:15:55.080 --> 0:15:55.680
<v Speaker 9>dog food.

0:15:55.880 --> 0:15:57.480
<v Speaker 2>Oh that sounds okay.

0:15:57.640 --> 0:15:58.960
<v Speaker 7>Yeah, So really.

0:15:58.720 --> 0:16:01.400
<v Speaker 9>Using you know, deals to get things that they need

0:16:01.440 --> 0:16:04.280
<v Speaker 9>for themselves rather than getting that big ticket item they

0:16:04.320 --> 0:16:04.800
<v Speaker 9>waited for.

0:16:05.360 --> 0:16:08.480
<v Speaker 2>What I learned from talking to retail folks is omni

0:16:08.760 --> 0:16:12.920
<v Speaker 2>channel retail, which is you use both the online and

0:16:13.000 --> 0:16:15.760
<v Speaker 2>the bricks and mortar, and maybe you look at something online,

0:16:16.040 --> 0:16:17.440
<v Speaker 2>then you want to go touch and feel it, or

0:16:17.440 --> 0:16:18.800
<v Speaker 2>maybe you order it then you pick it up at

0:16:18.800 --> 0:16:21.320
<v Speaker 2>the store. Omni channels that still a thing.

0:16:21.800 --> 0:16:24.360
<v Speaker 9>Yeah, Yeah, So we were out there on Black Friday

0:16:24.360 --> 0:16:26.240
<v Speaker 9>and some of the stores, and you know, while a

0:16:26.320 --> 0:16:29.120
<v Speaker 9>lot of people have switched their holiday shopping to be online,

0:16:29.160 --> 0:16:32.000
<v Speaker 9>we still saw a ton of people in stores, especially

0:16:32.040 --> 0:16:34.680
<v Speaker 9>at stores with really good deals and stores that have

0:16:34.800 --> 0:16:38.520
<v Speaker 9>appealed to young shoppers. So brands like Addicted and Princess

0:16:38.560 --> 0:16:41.520
<v Speaker 9>Paul that are in malls were really flooded with young people.

0:16:41.840 --> 0:16:45.040
<v Speaker 3>Our thanks to Lily Meyer, Bloomberg Retail reporter, move next.

0:16:44.960 --> 0:16:48.080
<v Speaker 2>To quarterly earnings from the cloud based software company Salesforce.

0:16:48.200 --> 0:16:50.600
<v Speaker 3>This week, the company reported third quarter earnings that beat

0:16:50.640 --> 0:16:54.160
<v Speaker 3>analyst expectations. Salesforce also gave an outlook for revenue in

0:16:54.160 --> 0:16:56.440
<v Speaker 3>the current quarter that topped Wall Street estimates.

0:16:56.640 --> 0:16:59.640
<v Speaker 2>This suggests that the software company is persuading customers to

0:16:59.680 --> 0:17:02.520
<v Speaker 2>buy it AI tools. For more on this, Nornite were

0:17:02.600 --> 0:17:05.560
<v Speaker 2>joined by anarag Rana, Bloomberg Intelligence technology analyst.

0:17:05.800 --> 0:17:07.800
<v Speaker 3>We first asked Aniog for his take on the most

0:17:07.840 --> 0:17:09.480
<v Speaker 3>recent earnings report from Salesforce.

0:17:09.840 --> 0:17:10.400
<v Speaker 10>Yeah, the sack.

0:17:10.640 --> 0:17:12.880
<v Speaker 11>The results did come in, I mean almost in line

0:17:12.920 --> 0:17:14.760
<v Speaker 11>with how we were looking at it in terms of

0:17:15.119 --> 0:17:17.840
<v Speaker 11>that the core business is still struggling. But when it

0:17:17.880 --> 0:17:19.960
<v Speaker 11>comes to some of their AI products that has started

0:17:20.000 --> 0:17:22.920
<v Speaker 11>to do well, they've gained momentum. But when you look

0:17:22.960 --> 0:17:25.160
<v Speaker 11>at somebody like a salesforce, when you have a revenue

0:17:25.160 --> 0:17:28.280
<v Speaker 11>base of forty one billion dollars, it takes a lot

0:17:28.359 --> 0:17:30.800
<v Speaker 11>to move the needles. So even though these products are

0:17:30.880 --> 0:17:34.040
<v Speaker 11>very small and you know, growing triple digits, but they

0:17:34.040 --> 0:17:37.160
<v Speaker 11>are not you know, right there in order to take

0:17:37.240 --> 0:17:39.679
<v Speaker 11>down what is happening on the core business, which is

0:17:39.920 --> 0:17:44.080
<v Speaker 11>a decline in seat growth or the less addition of

0:17:44.200 --> 0:17:48.120
<v Speaker 11>seats because of macro IT spending, and that is probably

0:17:48.119 --> 0:17:51.280
<v Speaker 11>going to be the story, at least for the near term.

0:17:51.560 --> 0:17:54.680
<v Speaker 3>So it seems as though analysts are still generally positive

0:17:54.800 --> 0:17:57.119
<v Speaker 3>on in terms of AI adoption trends when we think

0:17:57.160 --> 0:17:58.280
<v Speaker 3>about this company though.

0:17:59.200 --> 0:18:01.240
<v Speaker 11>Yes, absolutely, and that's you know, one of the things.

0:18:01.280 --> 0:18:04.399
<v Speaker 11>We saw really good numbers on both the data cloud

0:18:04.480 --> 0:18:06.840
<v Speaker 11>side of it and also the agent force. But when

0:18:06.840 --> 0:18:09.320
<v Speaker 11>you look at the stock reaction and finally people have

0:18:09.359 --> 0:18:12.600
<v Speaker 11>when you really scrape the numbers and see that their

0:18:12.920 --> 0:18:16.280
<v Speaker 11>commercial remaining performance obligations, which is the order book for

0:18:16.400 --> 0:18:19.440
<v Speaker 11>next quarter, which they expect to grow about thirteen percent

0:18:19.440 --> 0:18:23.679
<v Speaker 11>in constant currency four percentage of point of that is informatica.

0:18:23.760 --> 0:18:26.240
<v Speaker 11>So when you strip that out, you will see that

0:18:26.240 --> 0:18:29.520
<v Speaker 11>that particular backlock number goes from eleven percent this quarter

0:18:29.760 --> 0:18:31.840
<v Speaker 11>to let's say nine or ten percent. So the core

0:18:31.880 --> 0:18:34.280
<v Speaker 11>is still declining or the core is still under pressure.

0:18:35.200 --> 0:18:37.640
<v Speaker 2>So the stock down twenty seven percent year to date

0:18:37.840 --> 0:18:40.280
<v Speaker 2>on a rock that does that reflect the fact that

0:18:40.520 --> 0:18:44.479
<v Speaker 2>it's just it budgets are tight, or that AI poses

0:18:44.480 --> 0:18:48.760
<v Speaker 2>an existential threat to certain providers like a Salesforce.

0:18:50.200 --> 0:18:52.399
<v Speaker 11>I don't think that's the case, because it's going to

0:18:52.400 --> 0:18:56.040
<v Speaker 11>be very difficult for an established Fortune two thousand company

0:18:56.240 --> 0:18:58.760
<v Speaker 11>to get rid of their core system of record, you know,

0:18:58.800 --> 0:19:02.359
<v Speaker 11>whether that's an HRS sales customer service and just deploy

0:19:02.400 --> 0:19:04.680
<v Speaker 11>a model in there. At least we are not there yet.

0:19:04.680 --> 0:19:06.840
<v Speaker 11>Maybe you know, five years down the road we may

0:19:06.880 --> 0:19:09.760
<v Speaker 11>see a scenario like this. But that's not really why

0:19:09.840 --> 0:19:13.160
<v Speaker 11>Salesforce is struggling. It is basically, we are the largest

0:19:13.160 --> 0:19:16.760
<v Speaker 11>provider of sales automation tool and customer service tool to

0:19:16.840 --> 0:19:20.000
<v Speaker 11>Fortune two thousand companies. It's those companies that are not

0:19:20.200 --> 0:19:23.080
<v Speaker 11>hiding at that same rate that they used to because

0:19:23.240 --> 0:19:26.680
<v Speaker 11>outside of AI and AI infrastructure, everything else is still

0:19:26.720 --> 0:19:27.320
<v Speaker 11>weak at this.

0:19:27.240 --> 0:19:31.400
<v Speaker 2>Point our thanks to anaag Rana Bloomberg Intelligence technology analysts, we.

0:19:31.320 --> 0:19:33.520
<v Speaker 3>Move to some news in the aerospace sector.

0:19:33.880 --> 0:19:36.920
<v Speaker 2>This week's shares of the aerospace company Airbus plunged after

0:19:36.960 --> 0:19:40.000
<v Speaker 2>revealed a quality issue on some fuselage panels of its

0:19:40.080 --> 0:19:42.640
<v Speaker 2>A three to twenty airliner. This came just days after

0:19:42.640 --> 0:19:45.840
<v Speaker 2>Airbus flagged a software glitch on about six thousand jets.

0:19:46.160 --> 0:19:48.880
<v Speaker 3>As a result, Airbus must inspect hundreds of its best

0:19:48.880 --> 0:19:51.560
<v Speaker 3>selling A three twenty jets for potential quality flaws in

0:19:51.600 --> 0:19:54.199
<v Speaker 3>the aircraft's body, and this could risk slowing down delivery

0:19:54.200 --> 0:19:55.360
<v Speaker 3>of newly produced jets.

0:19:55.520 --> 0:19:57.520
<v Speaker 2>For more on this guest host Alex Semonova and I

0:19:57.520 --> 0:20:01.240
<v Speaker 2>were joined by George ferguson Bloomberg Intelligence. Your aerospace, defense

0:20:01.280 --> 0:20:03.919
<v Speaker 2>and airlines analysts first asked George to talk to us

0:20:03.960 --> 0:20:06.919
<v Speaker 2>about why it seems Airbus has been able to fly

0:20:07.119 --> 0:20:08.720
<v Speaker 2>under the radar until just recently.

0:20:08.960 --> 0:20:12.040
<v Speaker 8>I think they've also had their challenges in the supply

0:20:12.160 --> 0:20:15.560
<v Speaker 8>chain along the way, just throwing challenges were so much

0:20:15.600 --> 0:20:19.679
<v Speaker 8>greater that they stole the spotlight, if you will. But

0:20:19.760 --> 0:20:22.640
<v Speaker 8>I mean, look, the aerospace supply chain is a bit

0:20:22.720 --> 0:20:24.960
<v Speaker 8>thin right, It doesn't have the same redundancy as like

0:20:25.000 --> 0:20:28.360
<v Speaker 8>you'd get in an auto supply chain, and so when

0:20:28.400 --> 0:20:30.840
<v Speaker 8>you just have some little problem at one of your suppliers,

0:20:31.920 --> 0:20:34.480
<v Speaker 8>you know, it can really interrupt your ability to deliver airplanes.

0:20:34.480 --> 0:20:37.359
<v Speaker 8>And I think right now what you're seeing is that

0:20:37.520 --> 0:20:41.040
<v Speaker 8>Airbus already has a really tall order to meet the

0:20:41.200 --> 0:20:45.960
<v Speaker 8>something like eight hundred and twenty airplane guidance or delivery

0:20:45.960 --> 0:20:48.760
<v Speaker 8>guidance they've got for this year. We don't think they're

0:20:48.800 --> 0:20:51.840
<v Speaker 8>gonna make it. I think they need seventy plus a

0:20:52.000 --> 0:20:54.560
<v Speaker 8>three twenties in the last two months of the year

0:20:54.560 --> 0:20:57.800
<v Speaker 8>in November December. We think that's pretty hard given they've

0:20:58.080 --> 0:21:02.119
<v Speaker 8>kind of delivered fifty five ish most months of in

0:21:02.160 --> 0:21:06.080
<v Speaker 8>the last couple, you know, for months, and so I

0:21:06.119 --> 0:21:10.879
<v Speaker 8>think a quality problem here probably really places in doubt

0:21:10.920 --> 0:21:14.040
<v Speaker 8>their ability to make that guidance, and that's going to

0:21:14.119 --> 0:21:15.480
<v Speaker 8>hurt their profitability for the year.

0:21:15.960 --> 0:21:19.720
<v Speaker 4>George, you mentioned that really ambitious target for eight hundred

0:21:19.760 --> 0:21:22.280
<v Speaker 4>and twenty aircraft deliveries by the end of this year.

0:21:22.359 --> 0:21:25.440
<v Speaker 4>How disappointed could investors get if it fails to meet

0:21:25.440 --> 0:21:28.720
<v Speaker 4>that target. On top of the headwinds that this company

0:21:28.760 --> 0:21:30.720
<v Speaker 4>is already facing well.

0:21:30.600 --> 0:21:32.720
<v Speaker 8>I mean, so I think you're starting to see, you know,

0:21:32.760 --> 0:21:37.280
<v Speaker 8>the disappointment here. Again, I'd be surprised if most investors

0:21:37.800 --> 0:21:41.800
<v Speaker 8>weren't already concerned that the target was too high. I

0:21:41.840 --> 0:21:44.080
<v Speaker 8>think Airbus has really put out a bunch of very

0:21:44.119 --> 0:21:48.880
<v Speaker 8>ambitious build rate targets right the I think our latest

0:21:48.920 --> 0:21:50.480
<v Speaker 8>number in A three twenty is that we would be

0:21:50.520 --> 0:21:54.400
<v Speaker 8>going to something like seventy five a month, and that's

0:21:54.440 --> 0:21:58.040
<v Speaker 8>consistently throughout the entire year, right by the end of

0:21:58.080 --> 0:22:01.480
<v Speaker 8>twenty twenty six, which to us just seems far too high.

0:22:01.520 --> 0:22:04.560
<v Speaker 8>And I feel like Airbus keeps trying to lead the

0:22:04.640 --> 0:22:08.720
<v Speaker 8>supplier base by pushing these higher numbers out and trying

0:22:08.760 --> 0:22:11.760
<v Speaker 8>to pull the supplier base along, and then over time

0:22:11.880 --> 0:22:15.399
<v Speaker 8>lowers some of these expectations. So look, I think anything

0:22:15.400 --> 0:22:18.760
<v Speaker 8>they miss now isn't going away. It gets pushed into

0:22:18.800 --> 0:22:21.119
<v Speaker 8>the next year and the next year, and again, I

0:22:21.160 --> 0:22:25.119
<v Speaker 8>think the bigger challenge here is investors have to ask themselves,

0:22:25.480 --> 0:22:28.280
<v Speaker 8>are a lot of these Airbus targets for delivery rates?

0:22:28.359 --> 0:22:30.840
<v Speaker 8>Are they just too ambitious? And don't we have to

0:22:30.840 --> 0:22:33.600
<v Speaker 8>sort of knock them down when we build our consensus

0:22:33.600 --> 0:22:34.960
<v Speaker 8>for what we think the company's going to be able

0:22:34.960 --> 0:22:35.320
<v Speaker 8>to do.

0:22:35.440 --> 0:22:38.639
<v Speaker 2>Because George, I mean a number like seventy seems really

0:22:38.720 --> 0:22:41.560
<v Speaker 2>high to me because when we talk about Boeing, it's like, Gee,

0:22:41.560 --> 0:22:44.080
<v Speaker 2>I hope they can get the forty maybe to fifty.

0:22:44.800 --> 0:22:47.639
<v Speaker 2>Is that does Boeing typically run that far behind on

0:22:47.680 --> 0:22:50.280
<v Speaker 2>a production schedule than a Airbus.

0:22:51.119 --> 0:22:53.800
<v Speaker 8>So I would say that if you would consider normal

0:22:54.440 --> 0:22:57.040
<v Speaker 8>the end of the last decade when both were building

0:22:57.119 --> 0:23:01.480
<v Speaker 8>and Boeing wasn't having the problems with mcas Airbus was

0:23:02.119 --> 0:23:04.840
<v Speaker 8>up in the higher sixties and Boeing was in the

0:23:04.920 --> 0:23:09.280
<v Speaker 8>higher fifties, and so we have traditionally seen Airbus be

0:23:09.280 --> 0:23:12.960
<v Speaker 8>able to put out more airplanes than Boeing. I think

0:23:13.000 --> 0:23:16.080
<v Speaker 8>their supply base maybe a little bit more robust, and

0:23:16.119 --> 0:23:20.360
<v Speaker 8>I think they have sort of multiple final assembly areas

0:23:20.880 --> 0:23:23.600
<v Speaker 8>around the world. I think those are some of the

0:23:23.640 --> 0:23:27.120
<v Speaker 8>reasons why Airbus can just has the infrastructure to put

0:23:27.160 --> 0:23:30.359
<v Speaker 8>out more airplanes, more narrowbody airplanes per month.

0:23:30.520 --> 0:23:33.480
<v Speaker 2>Our thanks to George Ferguson Bloomberg Intelligence senior Aerospace, Defense

0:23:33.520 --> 0:23:34.520
<v Speaker 2>and Airlines analysts.

0:23:34.560 --> 0:23:36.679
<v Speaker 3>Coming up, we'll take a look at US data centered

0:23:36.720 --> 0:23:39.680
<v Speaker 3>power demand and just how quickly the sector is expanding.

0:23:39.280 --> 0:23:42.040
<v Speaker 2>You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in

0:23:42.080 --> 0:23:44.199
<v Speaker 2>depth research and data on two thousand companies and one

0:23:44.280 --> 0:23:45.360
<v Speaker 2>hundred and thirty industries.

0:23:45.440 --> 0:23:47.320
<v Speaker 3>You can access Bloomberg Intelligence be a B I go

0:23:47.560 --> 0:23:49.400
<v Speaker 3>on the terminal. I'm normal Inda, and.

0:23:49.359 --> 0:23:51.360
<v Speaker 2>I'm Paul Sweeney, and this is Bloomberg.

0:23:57.280 --> 0:24:01.800
<v Speaker 1>This is Bloomberg Intelligence with Scarlet Foo and Paul Sweeney

0:24:02.160 --> 0:24:03.480
<v Speaker 1>on Bloomberg Radio.

0:24:04.320 --> 0:24:07.160
<v Speaker 3>On Paul Sweeney and I'm normal Linda filling in for Scarlettfoo.

0:24:07.400 --> 0:24:09.920
<v Speaker 2>We move next to the real estate Space nor Nite.

0:24:09.920 --> 0:24:12.919
<v Speaker 2>We're joined by Jeff Langbaum. This week, Bloomberg Intelligence Senior

0:24:13.119 --> 0:24:14.640
<v Speaker 2>US REET analyst.

0:24:14.520 --> 0:24:17.520
<v Speaker 3>Jeff discussed research on real estate investment trusts or reads

0:24:17.600 --> 0:24:19.840
<v Speaker 3>as his outlook for them. In twenty twenty six.

0:24:19.680 --> 0:24:23.400
<v Speaker 2>We first asked Jeff how reads have been performing this year.

0:24:23.920 --> 0:24:26.800
<v Speaker 12>They haven't performed well in twenty twenty five, that's for sure.

0:24:28.280 --> 0:24:30.320
<v Speaker 12>I mean, basically, you know, kind of flats to slightly

0:24:30.359 --> 0:24:34.200
<v Speaker 12>down on an aggregate basis, but relative to the S

0:24:34.280 --> 0:24:39.159
<v Speaker 12>and P underperformed significantly. And that's going on three years now. Obviously,

0:24:39.320 --> 0:24:41.720
<v Speaker 12>you know, you had the rising rate cycle that was

0:24:42.280 --> 0:24:46.560
<v Speaker 12>pretty damaging. You had some difficulties especially in the office sector.

0:24:47.119 --> 0:24:49.480
<v Speaker 12>But as we sit here looking ahead to twenty twenty six,

0:24:49.680 --> 0:24:53.040
<v Speaker 12>the fundamental backdrop looks okay. And especially if you get

0:24:53.119 --> 0:24:56.320
<v Speaker 12>rates falling, if that ten year yield starts to drop,

0:24:56.359 --> 0:25:00.119
<v Speaker 12>and you know, that has cascading effects on evaluations, it

0:25:00.119 --> 0:25:04.760
<v Speaker 12>has cascading effects on cost of capital and and really

0:25:04.800 --> 0:25:08.000
<v Speaker 12>would be a boost for the sector going forward.

0:25:08.760 --> 0:25:10.800
<v Speaker 3>We are you seeing to be some bright spots right

0:25:10.840 --> 0:25:14.719
<v Speaker 3>now in the reat sector, Jeff Senior.

0:25:14.720 --> 0:25:19.760
<v Speaker 12>Housing, That is the that I didn't look at you.

0:25:21.320 --> 0:25:24.880
<v Speaker 12>I'm looking at you, Paul, the I mean, that's that's

0:25:24.920 --> 0:25:30.600
<v Speaker 12>the clear winner right now. The fundamental backdrop, driven by

0:25:30.640 --> 0:25:37.160
<v Speaker 12>demographics is huge and growing. There's an incredible coming need

0:25:37.280 --> 0:25:42.600
<v Speaker 12>for housing for the aging baby boomers, and you know

0:25:42.640 --> 0:25:45.800
<v Speaker 12>there's nothing, nothing being built, so the supply demand uh

0:25:45.960 --> 0:25:50.480
<v Speaker 12>dynamics in that space are incredible. And you know there's

0:25:50.520 --> 0:25:52.400
<v Speaker 12>a couple of roots that play in that space, Well

0:25:52.480 --> 0:25:56.240
<v Speaker 12>Towers the biggest one. They're growing like crazy and the

0:25:56.280 --> 0:25:57.640
<v Speaker 12>stock is reflecting it.

0:25:58.720 --> 0:26:04.399
<v Speaker 2>All right, So what's the aside from folks, you know,

0:26:04.400 --> 0:26:06.400
<v Speaker 2>old folks housing, which is I'm going to say, because

0:26:06.480 --> 0:26:09.000
<v Speaker 2>you know, I'm there, I'm there, I'm in the demo

0:26:09.600 --> 0:26:12.639
<v Speaker 2>what else is working here? What is is it? Is

0:26:12.680 --> 0:26:15.520
<v Speaker 2>there a replay on all this AI data center stuff.

0:26:16.720 --> 0:26:19.720
<v Speaker 12>So the you know, there's there's a couple of different

0:26:19.720 --> 0:26:23.399
<v Speaker 12>ways to answer that. The direct impact of AI on

0:26:23.400 --> 0:26:27.760
<v Speaker 12>on reads is the two big data center reads Equinics

0:26:27.760 --> 0:26:29.919
<v Speaker 12>and Digital Realty, and they are playing in that space

0:26:30.720 --> 0:26:33.400
<v Speaker 12>right now. It's kind of unclear exactly where they fit.

0:26:33.800 --> 0:26:37.800
<v Speaker 12>There should be a significant amount of demand for their space,

0:26:38.200 --> 0:26:40.560
<v Speaker 12>especially for the stuff that they're looking to build, but

0:26:40.560 --> 0:26:42.520
<v Speaker 12>they have to raise a ton of capital in order

0:26:42.600 --> 0:26:47.280
<v Speaker 12>to fund that that that development, you know, and you

0:26:47.320 --> 0:26:50.439
<v Speaker 12>see capex numbers coming out from all the hyperscalers that

0:26:50.480 --> 0:26:54.919
<v Speaker 12>are astronomical, and you know reads, you know, investors in

0:26:54.960 --> 0:26:57.680
<v Speaker 12>reads don't necessarily love the concept of raising a ton

0:26:57.720 --> 0:27:00.480
<v Speaker 12>of money to deploy it in kind of risky assets

0:27:00.480 --> 0:27:02.720
<v Speaker 12>that you need to then go lease up. So the

0:27:02.800 --> 0:27:05.679
<v Speaker 12>demand should clearly be there, but it's going to be

0:27:05.680 --> 0:27:07.440
<v Speaker 12>interesting to see how it plays out over the next

0:27:07.440 --> 0:27:09.480
<v Speaker 12>couple of years as that demand filters through.

0:27:09.800 --> 0:27:12.000
<v Speaker 2>The other issue with AI, though, is there.

0:27:11.880 --> 0:27:14.600
<v Speaker 12>Is a kind of a concern that AI is going

0:27:14.600 --> 0:27:17.520
<v Speaker 12>to impact demand for office space, and you know, as

0:27:17.560 --> 0:27:20.000
<v Speaker 12>companies get more efficient, they need less headcount, they need

0:27:20.080 --> 0:27:23.040
<v Speaker 12>less office space. Haven't really started to see that play

0:27:23.080 --> 0:27:27.280
<v Speaker 12>out yet, but it's definitely a sentiment that is out

0:27:27.280 --> 0:27:30.399
<v Speaker 12>there and is impacting the stocks to a degree. You know,

0:27:30.520 --> 0:27:33.480
<v Speaker 12>just as we got past the whole work from home

0:27:33.800 --> 0:27:37.080
<v Speaker 12>thing and concern over whether offices we're ever going to

0:27:37.119 --> 0:27:39.320
<v Speaker 12>have people back in them, now we have concerned that

0:27:39.359 --> 0:27:40.960
<v Speaker 12>the robots are going to replace the people.

0:27:42.359 --> 0:27:43.719
<v Speaker 3>So of course we do have the income in New

0:27:43.760 --> 0:27:46.600
<v Speaker 3>York City Mayor saying that he wants to freeze rents

0:27:46.600 --> 0:27:49.560
<v Speaker 3>on rent stabilized apartments in New York City. What's the

0:27:49.640 --> 0:27:53.000
<v Speaker 3>latest in terms of the apartment rate space right now?

0:27:53.680 --> 0:27:55.840
<v Speaker 12>Yeah, I mean it's unclear exactly what he's going to

0:27:55.880 --> 0:28:01.000
<v Speaker 12>be able to do on rent stabilization freeze capping rents.

0:28:01.520 --> 0:28:04.600
<v Speaker 12>But the reats that own own residential in New York City,

0:28:04.680 --> 0:28:08.480
<v Speaker 12>names like Avalon Bay Equity Residential, they own stuff that's

0:28:08.520 --> 0:28:12.439
<v Speaker 12>not subject to those caps. It's it's largely newer market

0:28:12.480 --> 0:28:15.800
<v Speaker 12>rate stuff, and so they're not going to be directly impacted.

0:28:16.640 --> 0:28:19.240
<v Speaker 12>And so you know, at the end of the day,

0:28:19.720 --> 0:28:24.320
<v Speaker 12>if there is less new the net result of of

0:28:24.400 --> 0:28:26.480
<v Speaker 12>caps like that is less new stuff, get less stuff

0:28:26.480 --> 0:28:29.000
<v Speaker 12>getting renovated, less stuff getting built, and and that just

0:28:29.240 --> 0:28:32.160
<v Speaker 12>you know, keeps supply down and as long as demands

0:28:32.680 --> 0:28:35.159
<v Speaker 12>stays elevated, then that should flow through to the ability

0:28:35.200 --> 0:28:38.080
<v Speaker 12>to keep buildings full and keep rents rising to a degree.

0:28:38.640 --> 0:28:40.360
<v Speaker 12>So I think that in the in the near term,

0:28:40.560 --> 0:28:43.640
<v Speaker 12>you know, that that should be it should be fine

0:28:43.800 --> 0:28:46.200
<v Speaker 12>for names like like those that play in the in

0:28:46.280 --> 0:28:49.840
<v Speaker 12>the city, you know, the the it's it's those that

0:28:49.920 --> 0:28:51.720
<v Speaker 12>own the kind of the lower tier space that maybe

0:28:51.760 --> 0:28:53.880
<v Speaker 12>are a little bit more exposed are.

0:28:53.720 --> 0:28:57.520
<v Speaker 3>Thanks to Jeff'slingbam Bloomberg Intelligence senior US re analysts.

0:28:57.200 --> 0:28:59.800
<v Speaker 2>On Bloomberg Intelligence, we often look at research from Bloomberg

0:28:59.840 --> 0:29:02.560
<v Speaker 2>and EF previously known as New Energy Finance.

0:29:02.680 --> 0:29:04.600
<v Speaker 3>They have a team at Bloomberg that tracks and analyzes

0:29:04.640 --> 0:29:08.400
<v Speaker 3>the energy transition from commodities to power, transport, industries, buildings,

0:29:08.440 --> 0:29:11.160
<v Speaker 3>and agriculture sectors. This week we took a look at

0:29:11.400 --> 0:29:14.080
<v Speaker 3>US data center powered demand and just how quickly that

0:29:14.120 --> 0:29:15.040
<v Speaker 3>sector is expanding.

0:29:15.200 --> 0:29:17.640
<v Speaker 2>For more on this guest host Alex Semonovan and I

0:29:17.640 --> 0:29:20.600
<v Speaker 2>were joined by Helen co b Nf, head of US

0:29:20.640 --> 0:29:23.320
<v Speaker 2>Power Markets Research. We first asked Helen if we have

0:29:23.480 --> 0:29:26.960
<v Speaker 2>the power necessary to power all the data centers we

0:29:27.040 --> 0:29:27.800
<v Speaker 2>keep hearing about.

0:29:28.200 --> 0:29:32.760
<v Speaker 10>What we're seeing is quite an unprecedented acceleration of data

0:29:32.760 --> 0:29:38.240
<v Speaker 10>center demand, driven largely by AI and at BNF. What

0:29:38.440 --> 0:29:41.920
<v Speaker 10>we see and expect is that data center power demand

0:29:42.040 --> 0:29:44.800
<v Speaker 10>is going to reach roughly one hundred and six gigawatts

0:29:44.880 --> 0:29:45.960
<v Speaker 10>by twenty thirty five.

0:29:46.080 --> 0:29:48.120
<v Speaker 2>Where are we today, just for example.

0:29:48.120 --> 0:29:53.040
<v Speaker 10>Today, we are definitely a lot lower in capacity, so

0:29:53.240 --> 0:29:56.600
<v Speaker 10>roughly half of that right now. What we also know

0:29:57.000 --> 0:29:59.880
<v Speaker 10>is that that one oho six gigawats by twenty thirty five,

0:30:00.080 --> 0:30:03.520
<v Speaker 10>that's thirty six percent higher than our outlook just six

0:30:03.560 --> 0:30:07.000
<v Speaker 10>months ago. So we've increased that forecast quite a lot

0:30:08.000 --> 0:30:10.320
<v Speaker 10>since these last six months. What we've seen is a

0:30:10.320 --> 0:30:13.840
<v Speaker 10>flood of early stage projects getting announced, which results in

0:30:13.880 --> 0:30:17.160
<v Speaker 10>a much larger pipeline, and therefore our forecast has also

0:30:17.280 --> 0:30:21.520
<v Speaker 10>increased quite a bit to power these data centers. What

0:30:21.560 --> 0:30:24.120
<v Speaker 10>we know is that there's a lot of new build

0:30:24.400 --> 0:30:28.200
<v Speaker 10>of power supply coming online to try to reach this

0:30:28.320 --> 0:30:29.440
<v Speaker 10>overall power demand.

0:30:30.360 --> 0:30:33.480
<v Speaker 4>Helen, we're obviously in the early innings of this build

0:30:33.520 --> 0:30:36.120
<v Speaker 4>out of data centers. What signs are you seeing already

0:30:36.400 --> 0:30:39.840
<v Speaker 4>of any kind of strains on resources on electricity?

0:30:40.440 --> 0:30:43.160
<v Speaker 10>What we know is there are certain regions that are

0:30:43.560 --> 0:30:46.520
<v Speaker 10>hitting a tipping point in terms of actually being able

0:30:46.520 --> 0:30:50.440
<v Speaker 10>to power this overall supply. What we know is that

0:30:50.680 --> 0:30:54.000
<v Speaker 10>Northern Virginia is still the largest kind of market for

0:30:54.080 --> 0:30:57.880
<v Speaker 10>data center demand based on our forecast, and we are

0:30:57.920 --> 0:31:00.840
<v Speaker 10>seeing a lot of growing concern in that PEG region.

0:31:01.720 --> 0:31:04.720
<v Speaker 10>What we project in PGM is that data center capacity

0:31:04.800 --> 0:31:07.959
<v Speaker 10>is going to hit roughly thirty one gigawatts by twenty thirty.

0:31:09.080 --> 0:31:12.520
<v Speaker 10>And what we do is when we adjust that overall

0:31:12.800 --> 0:31:16.280
<v Speaker 10>kind of like what power demand looks like in PGM

0:31:17.200 --> 0:31:19.960
<v Speaker 10>relative to supply, what we expect is there might be

0:31:20.000 --> 0:31:24.320
<v Speaker 10>a nine point five gigawatch shortfall of overall power supply

0:31:24.520 --> 0:31:26.920
<v Speaker 10>by the end of the decade if we assume that

0:31:27.000 --> 0:31:29.920
<v Speaker 10>all of this data center demand is going to come online.

0:31:30.280 --> 0:31:33.680
<v Speaker 2>If all this data center demand comes online, obviously the

0:31:33.720 --> 0:31:36.720
<v Speaker 2>need for electricity or power is just extraordinary. I'm a

0:31:36.720 --> 0:31:41.400
<v Speaker 2>big fan of nuclear, A small mobile reactor, modular reactor here,

0:31:41.400 --> 0:31:43.840
<v Speaker 2>there's SMR type things talk to us about that is

0:31:44.280 --> 0:31:46.560
<v Speaker 2>that a viable technology solution at some point.

0:31:47.680 --> 0:31:49.680
<v Speaker 10>So we know that there has been a lot of

0:31:49.680 --> 0:31:53.360
<v Speaker 10>company announcements around small modular nuclear as well as just

0:31:53.520 --> 0:31:58.880
<v Speaker 10>nuclear in general. And there has been several different new

0:31:58.920 --> 0:32:03.200
<v Speaker 10>power purchase agreement and surround nuclear by major hyperscale companies

0:32:03.240 --> 0:32:07.320
<v Speaker 10>as well. What we see within BNF is that in

0:32:07.360 --> 0:32:10.280
<v Speaker 10>the near term what is likely going to power data

0:32:10.280 --> 0:32:13.440
<v Speaker 10>center demand is actually going to be gas, and nuclear

0:32:13.600 --> 0:32:17.000
<v Speaker 10>is a much more longer kind of like long term

0:32:17.040 --> 0:32:19.760
<v Speaker 10>play in terms of how you power data center demand.

0:32:20.040 --> 0:32:22.600
<v Speaker 10>But what we expect is that the major ramp up

0:32:22.720 --> 0:32:26.000
<v Speaker 10>in overall demand is coming over these next three years,

0:32:26.200 --> 0:32:29.280
<v Speaker 10>and gas is likely what's going to meet that overall demand.

0:32:30.000 --> 0:32:34.360
<v Speaker 4>What kind of measures are being taken to limit any

0:32:34.440 --> 0:32:38.000
<v Speaker 4>kind of potential power outages from this build.

0:32:37.760 --> 0:32:41.440
<v Speaker 10>Out, Well, we do see that there's been a lot

0:32:41.520 --> 0:32:45.120
<v Speaker 10>of different regulations that are evolving real time around data

0:32:45.160 --> 0:32:49.400
<v Speaker 10>center demand. What we know is that Georgia adopted new

0:32:49.480 --> 0:32:54.720
<v Speaker 10>rules pushing grid connection costs onto large users like industrial users.

0:32:54.880 --> 0:32:57.280
<v Speaker 10>Ohio now requires data centers to pay for at least

0:32:57.280 --> 0:33:00.480
<v Speaker 10>eighty five percent of the energy they request each month,

0:33:01.240 --> 0:33:05.000
<v Speaker 10>even if it is underutilized, and so policies are kind

0:33:05.040 --> 0:33:07.680
<v Speaker 10>of being put in place to kind of navigate rising

0:33:07.720 --> 0:33:08.600
<v Speaker 10>and growing demand.

0:33:09.960 --> 0:33:12.800
<v Speaker 2>Are we building these data centers too quickly? Is there

0:33:12.800 --> 0:33:16.120
<v Speaker 2>a risk for an overbuild? It just feels like it's

0:33:16.200 --> 0:33:19.120
<v Speaker 2>too much, too fast, but all the projections say we're

0:33:19.120 --> 0:33:20.800
<v Speaker 2>going to need all that compute.

0:33:21.160 --> 0:33:24.640
<v Speaker 10>It's a really great question, something as an analyst I

0:33:24.680 --> 0:33:28.960
<v Speaker 10>think about quite a bit. At BNF. What we've done

0:33:29.080 --> 0:33:32.480
<v Speaker 10>is we've benchmarked our data center forecast relative to a

0:33:32.520 --> 0:33:35.840
<v Speaker 10>whole bunch of other third party forecasts out there, and

0:33:35.880 --> 0:33:39.320
<v Speaker 10>what we see is that our forecast is relatively conservative

0:33:39.400 --> 0:33:44.360
<v Speaker 10>compared to other third parties because our data center forecast

0:33:44.520 --> 0:33:49.800
<v Speaker 10>does include and analyze some of the additional power constraints

0:33:50.400 --> 0:33:54.400
<v Speaker 10>as well as like project development timelines of data center development.

0:33:54.640 --> 0:33:57.400
<v Speaker 10>And what we found is that it roughly takes seven

0:33:57.520 --> 0:34:00.880
<v Speaker 10>years to develop a data center, and even that we're

0:34:00.920 --> 0:34:04.840
<v Speaker 10>seeing quite a bit of new capacity come online. That

0:34:05.040 --> 0:34:09.040
<v Speaker 10>is a result of just fundamentals around AI demand, whether

0:34:09.040 --> 0:34:13.960
<v Speaker 10>that is company announcements of data centers as well as

0:34:14.120 --> 0:34:17.120
<v Speaker 10>just like the underlying growth and trend around AI.

0:34:17.800 --> 0:34:22.880
<v Speaker 4>I can't help but wonder how are data centers addressing sustainability?

0:34:22.400 --> 0:34:25.839
<v Speaker 4>Are they using clean energy? What measures are they taking.

0:34:26.600 --> 0:34:29.359
<v Speaker 10>A lot of these hyperscalers that are building out data

0:34:29.360 --> 0:34:35.520
<v Speaker 10>centers do have sustainability goals and clean energy commitments. However,

0:34:36.160 --> 0:34:39.280
<v Speaker 10>like within the data center's outlook. What we mostly focused

0:34:39.280 --> 0:34:43.600
<v Speaker 10>on is just what is the additional capacity and activity

0:34:43.680 --> 0:34:47.160
<v Speaker 10>around data center demand within the United States, And we

0:34:47.239 --> 0:34:51.919
<v Speaker 10>also did a small analysis on specific markets that are

0:34:52.080 --> 0:34:55.920
<v Speaker 10>likely going to have constraints in the market around power supply,

0:34:56.520 --> 0:34:59.880
<v Speaker 10>and within URCOTT and PGM, which is our two larges

0:35:00.160 --> 0:35:03.880
<v Speaker 10>power market region that expects high data center demand growth,

0:35:04.200 --> 0:35:08.359
<v Speaker 10>what we're seeing is that the likelihood of what's going

0:35:08.400 --> 0:35:11.080
<v Speaker 10>to meet that supply is going to be gas, and

0:35:11.160 --> 0:35:18.359
<v Speaker 10>so we don't specifically look at sustainability commitments, but what

0:35:18.440 --> 0:35:21.120
<v Speaker 10>we know is that a lot of what's supplying data

0:35:21.160 --> 0:35:23.120
<v Speaker 10>centers will be gas in the narature.

0:35:23.040 --> 0:35:25.440
<v Speaker 3>Our thanks to Helen co be Any, head of US

0:35:25.520 --> 0:35:26.520
<v Speaker 3>Power Markets Research.

0:35:26.760 --> 0:35:29.439
<v Speaker 2>That's this week's edition of Bloomberg Intelligence on Bloomberg Radio,

0:35:29.560 --> 0:35:31.960
<v Speaker 2>providing in depth research and data on two thousand companies

0:35:32.000 --> 0:35:33.320
<v Speaker 2>and one hundred and thirty industries.

0:35:33.440 --> 0:35:35.920
<v Speaker 3>And remember you can access Bloomberg Intelligence be a Bigo

0:35:36.040 --> 0:35:38.680
<v Speaker 3>on the terminal. I'm normal Indo and I'm Paul Sweeney.

0:35:38.760 --> 0:35:41.640
<v Speaker 2>Stay with us. Today's top stories and global business headlines

0:35:41.680 --> 0:35:44.319
<v Speaker 2>are coming up right now.