1 00:00:02,920 --> 00:00:12,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This is Bloomberg Intelligence 2 00:00:12,640 --> 00:00:14,440 Speaker 1: with Alex Steinah and Paul'sweenye. 3 00:00:14,520 --> 00:00:17,720 Speaker 2: The real app performance has been in US corporate high yield. 4 00:00:17,880 --> 00:00:20,240 Speaker 3: Are the companies lean enough? Have they trimmed all the fats? 5 00:00:20,320 --> 00:00:23,880 Speaker 2: The semiconductor business is a really cyclical business. 6 00:00:23,600 --> 00:00:27,200 Speaker 1: Breaking market headlines and corporate news from across the globe. 7 00:00:27,240 --> 00:00:29,880 Speaker 3: Do investors like the M and A that we've seen? 8 00:00:30,080 --> 00:00:31,000 Speaker 4: These are two. 9 00:00:31,040 --> 00:00:33,159 Speaker 2: Big time blue chip companies. 10 00:00:33,320 --> 00:00:36,920 Speaker 3: The window between the peak and cut changing super fast. 11 00:00:37,080 --> 00:00:43,519 Speaker 1: Bloomberg Intelligence with Alex Steinhall and Paul'sweenye on Bloomberg Radio. 12 00:00:43,640 --> 00:00:46,440 Speaker 2: Today's Bloomberg Intelligence Show, we dig inside the big business 13 00:00:46,440 --> 00:00:48,360 Speaker 2: stories impacting Wall Street and the global markets. 14 00:00:48,400 --> 00:00:50,400 Speaker 3: Each and every week we provide in depth research and 15 00:00:50,520 --> 00:00:52,320 Speaker 3: data on some of the two thousand companies and one 16 00:00:52,400 --> 00:00:55,000 Speaker 3: hundred and thirty industries our analysts cover worldwide. 17 00:00:55,080 --> 00:00:57,920 Speaker 2: Today, well, look at why fast food chain McDonald's experience 18 00:00:57,960 --> 00:00:59,560 Speaker 2: its first sales drop in four years. 19 00:00:59,680 --> 00:01:02,560 Speaker 3: Plus, plainmaker Boeing has a new CEO. We'll discuss that 20 00:01:02,600 --> 00:01:04,200 Speaker 3: in the company's second quarter earnings. 21 00:01:04,440 --> 00:01:06,560 Speaker 2: But first we will begin with the big tech earnings 22 00:01:06,600 --> 00:01:10,120 Speaker 2: and Microsoft. Microsoft reported fourth quarter earnings and revenue the 23 00:01:10,200 --> 00:01:12,000 Speaker 2: top analysts expectations. 24 00:01:11,440 --> 00:01:14,199 Speaker 3: But the company's Azure cloud competing service posted a slow 25 00:01:14,240 --> 00:01:16,640 Speaker 3: down in growth last quarter, and this comes as investors 26 00:01:16,680 --> 00:01:19,600 Speaker 3: are anxious to see a payoff from huge investments in 27 00:01:19,680 --> 00:01:20,600 Speaker 3: AI products. 28 00:01:20,800 --> 00:01:23,440 Speaker 2: For more, we were joined by Anna Agrana, Bloomberg Intelligence 29 00:01:23,480 --> 00:01:24,400 Speaker 2: technology analyst. 30 00:01:24,520 --> 00:01:27,759 Speaker 3: We first asked Animog for his key takeaways from Microsoft results. 31 00:01:28,120 --> 00:01:31,520 Speaker 4: When Microsoft keep guidance for rasher last quarter, they said 32 00:01:31,959 --> 00:01:34,880 Speaker 4: growth rate of thirty to thirty one percent in constant currency, 33 00:01:35,400 --> 00:01:37,160 Speaker 4: and boy, they didn't hit thirty one. 34 00:01:37,200 --> 00:01:37,959 Speaker 5: They hit thirty. 35 00:01:38,040 --> 00:01:40,959 Speaker 4: People got disappointed, but they did a good job of 36 00:01:41,000 --> 00:01:43,800 Speaker 4: explaining what's happening on the conference called at the end 37 00:01:43,840 --> 00:01:46,600 Speaker 4: of the day, they are adding more capacity for their 38 00:01:46,680 --> 00:01:50,600 Speaker 4: data centers, and the growth rate of the cloud, still 39 00:01:50,760 --> 00:01:55,080 Speaker 4: very strong, will slow down slightly because of capacity issues 40 00:01:55,280 --> 00:01:58,160 Speaker 4: and not demand issues. And as they get more data 41 00:01:58,160 --> 00:02:00,760 Speaker 4: centers up, growth will accelerate. 42 00:02:01,200 --> 00:02:04,000 Speaker 3: Oh okay, So to be clear, then they're saying, look, 43 00:02:04,040 --> 00:02:06,200 Speaker 3: it's on us to build out all this stuff and 44 00:02:06,200 --> 00:02:08,000 Speaker 3: then all of a sudden, the revenue will accelerate. This 45 00:02:08,040 --> 00:02:10,880 Speaker 3: and not like a trend of slowing cloud revenue growth 46 00:02:10,919 --> 00:02:11,800 Speaker 3: because of demand. 47 00:02:11,919 --> 00:02:15,320 Speaker 4: Just to clarify for me, yes, absolutely. In fact, and 48 00:02:15,360 --> 00:02:18,639 Speaker 4: the cloud growth is driven in part or I would 49 00:02:18,639 --> 00:02:22,160 Speaker 4: say largely by AI bookloads because of their relationship with 50 00:02:22,200 --> 00:02:25,320 Speaker 4: Opening Eye. That really is the biggest driving factor. And 51 00:02:25,440 --> 00:02:28,480 Speaker 4: Microsoft has an edge there over others because of that 52 00:02:28,639 --> 00:02:32,480 Speaker 4: unique relationship that I mentioned. So I think Microsoft remains 53 00:02:32,560 --> 00:02:35,880 Speaker 4: the primary beneficiary on the software side, similar to what 54 00:02:36,040 --> 00:02:37,640 Speaker 4: Nvidia has on the chip side. 55 00:02:38,400 --> 00:02:41,920 Speaker 2: So an rag part of the discussion I guess probably 56 00:02:41,960 --> 00:02:44,360 Speaker 2: over the last month or month and a half about 57 00:02:44,400 --> 00:02:48,520 Speaker 2: AI has been Okay, I understand the spending aspect of it, 58 00:02:48,600 --> 00:02:51,080 Speaker 2: to build out capacity, to build out you know, whatever 59 00:02:51,120 --> 00:02:54,280 Speaker 2: I need. Remind me once again, what's the return on 60 00:02:54,280 --> 00:02:56,799 Speaker 2: that investment? So there's been some questions about the returns. 61 00:02:57,680 --> 00:02:59,160 Speaker 2: How do you answer that question? 62 00:03:00,200 --> 00:03:02,119 Speaker 4: So you know, if you were in the semiconductor world, 63 00:03:02,160 --> 00:03:04,400 Speaker 4: your return is pretty quickly because the people are going 64 00:03:04,440 --> 00:03:07,560 Speaker 4: to buy chips immediately. But if you're in the software world, 65 00:03:07,680 --> 00:03:10,320 Speaker 4: first you're going to get those chip, create a data center, 66 00:03:10,639 --> 00:03:14,959 Speaker 4: add more servers, and then create your software products that 67 00:03:15,080 --> 00:03:17,000 Speaker 4: which you're going to sell. Now, that thing's going to 68 00:03:17,040 --> 00:03:19,480 Speaker 4: take time, whether it's going to take six months, twelve months, 69 00:03:19,560 --> 00:03:22,400 Speaker 4: two years, and then you're going to realize that AI 70 00:03:22,440 --> 00:03:25,480 Speaker 4: revenue and that's where the entire rest of the world is, 71 00:03:25,520 --> 00:03:28,320 Speaker 4: whether it's on the software side or the services side, 72 00:03:28,400 --> 00:03:31,160 Speaker 4: and people need to have a very good understanding of it. 73 00:03:31,440 --> 00:03:34,800 Speaker 4: Otherwise they keep on harping on this capex issue, which 74 00:03:34,840 --> 00:03:36,920 Speaker 4: is going to get much bigger, and which is why 75 00:03:36,960 --> 00:03:40,280 Speaker 4: the chip stocks are doing very well because Microsoft communicated 76 00:03:40,400 --> 00:03:42,360 Speaker 4: that they're going to increase their capex even. 77 00:03:42,160 --> 00:03:42,800 Speaker 5: More this year. 78 00:03:43,120 --> 00:03:45,760 Speaker 4: So this is really where people need to understand this 79 00:03:46,040 --> 00:03:48,560 Speaker 4: and otherwise this confusion is going to continue going in 80 00:03:48,600 --> 00:03:49,720 Speaker 4: a next quarter as well. 81 00:03:50,000 --> 00:03:50,160 Speaker 6: Well. 82 00:03:50,200 --> 00:03:53,360 Speaker 3: Then to that point, you know, we got AMD boosting 83 00:03:53,640 --> 00:03:56,560 Speaker 3: at sales forecast for AI at the same time Intel's 84 00:03:56,600 --> 00:04:00,680 Speaker 3: cutting thousands of jobs. Where is Intel in this party? 85 00:04:00,960 --> 00:04:01,160 Speaker 5: Yeah? 86 00:04:01,200 --> 00:04:03,600 Speaker 4: I mean, I think the biggest party player really is 87 00:04:03,640 --> 00:04:06,680 Speaker 4: in video with their GPUs that are truly required for 88 00:04:07,360 --> 00:04:09,960 Speaker 4: these workloads, and AMD is also benefiting a little bit 89 00:04:10,000 --> 00:04:12,280 Speaker 4: from that. Intel, I think is needs to do a 90 00:04:12,280 --> 00:04:15,960 Speaker 4: lot more work before they can capitalize on this particular trend. 91 00:04:16,120 --> 00:04:19,560 Speaker 3: So Intel's in like the quad, like not even not 92 00:04:19,600 --> 00:04:22,480 Speaker 3: even closed to coming into the frat house. Basically, can 93 00:04:22,520 --> 00:04:23,120 Speaker 3: we look at it that? 94 00:04:23,320 --> 00:04:23,760 Speaker 2: Yeah? 95 00:04:23,800 --> 00:04:24,360 Speaker 5: Exactly? 96 00:04:25,760 --> 00:04:28,880 Speaker 2: How else in your space an A rag what else 97 00:04:28,920 --> 00:04:30,200 Speaker 2: looks attractive here. 98 00:04:31,520 --> 00:04:33,599 Speaker 4: I think the fun is going to be tomorrow evening 99 00:04:33,640 --> 00:04:36,960 Speaker 4: when Amazon reports and they start talking about their AI strategy, 100 00:04:37,000 --> 00:04:39,800 Speaker 4: because remember they do not have a relationship with open ai, 101 00:04:40,160 --> 00:04:43,240 Speaker 4: but they are still the largest cloud infrastructure vendor and 102 00:04:43,320 --> 00:04:46,280 Speaker 4: have more services than anybody else. They will come out 103 00:04:46,279 --> 00:04:49,040 Speaker 4: and give the message that listen, it's not just OpenAI, 104 00:04:49,200 --> 00:04:52,080 Speaker 4: but other large language models as well that people are using, 105 00:04:52,360 --> 00:04:55,200 Speaker 4: and they're using AWS services for that. You know, whether 106 00:04:55,279 --> 00:04:59,039 Speaker 4: that's anthropic or whether that's meta. All these companies have 107 00:04:59,120 --> 00:05:01,479 Speaker 4: their models as well, and people should be trying that. 108 00:05:02,360 --> 00:05:04,080 Speaker 3: And before I let you go, what I also found 109 00:05:04,040 --> 00:05:07,560 Speaker 3: interesting was that eight percentage points of the increase in 110 00:05:08,040 --> 00:05:10,679 Speaker 3: as your revenue and cloud revenue was attributable to AI. 111 00:05:10,880 --> 00:05:13,800 Speaker 3: That was up about seven percentage points. How do you 112 00:05:13,839 --> 00:05:15,920 Speaker 3: think that winds up looking like, are we going to 113 00:05:15,960 --> 00:05:18,520 Speaker 3: start to see like double digit increases here? Is it 114 00:05:18,560 --> 00:05:19,920 Speaker 3: going to be a slow grind higher? 115 00:05:20,920 --> 00:05:21,000 Speaker 5: No? 116 00:05:21,120 --> 00:05:23,040 Speaker 4: I think over time it will be double digits, But 117 00:05:23,080 --> 00:05:26,360 Speaker 4: again the timing is difficult. When we extrapolated this number, 118 00:05:26,440 --> 00:05:28,800 Speaker 4: we are coming to somewhere around one point four billion 119 00:05:28,839 --> 00:05:32,479 Speaker 4: in this quarter. That's over ten times in just one year. 120 00:05:32,880 --> 00:05:35,000 Speaker 4: It was, you know, it was roughly around one hundred 121 00:05:35,000 --> 00:05:38,000 Speaker 4: plus million a year ago. This is all the AI 122 00:05:38,040 --> 00:05:40,960 Speaker 4: workloads from open Ai, So I mean it is really 123 00:05:40,960 --> 00:05:44,679 Speaker 4: a big number frankly. But over time what will also 124 00:05:44,720 --> 00:05:47,120 Speaker 4: happen is there's going to be a blending between the 125 00:05:47,120 --> 00:05:50,400 Speaker 4: workloads on AI and the non AI workloads. And for us, 126 00:05:50,480 --> 00:05:53,520 Speaker 4: the net beneficiary are the three biggest cloud vendors, and 127 00:05:53,560 --> 00:05:55,640 Speaker 4: in fact, even Oracle is going to benefit from this. 128 00:05:56,080 --> 00:06:00,400 Speaker 2: Our thanks to anorog Rana Bloomberg Intelligence technology analyst, take. 129 00:06:00,200 --> 00:06:02,800 Speaker 3: A look at the latest Bloomberg News Morning Console poll. 130 00:06:03,160 --> 00:06:05,880 Speaker 2: It shows a Kamala Harris has wiped out Donald Trump's 131 00:06:05,920 --> 00:06:08,800 Speaker 2: leader across seven battle ground states as a vice president, 132 00:06:08,880 --> 00:06:12,400 Speaker 2: rise a wave of enthusiasm among young, black and Hispanic voters. 133 00:06:12,440 --> 00:06:15,760 Speaker 3: For more, we are joined by Laura Davison, Bloomberg Politics editor. 134 00:06:15,920 --> 00:06:18,440 Speaker 2: We first asked her for her key takeaways from this pole. 135 00:06:18,760 --> 00:06:21,599 Speaker 7: This is the best that the Democratic challenger to Trump 136 00:06:21,680 --> 00:06:23,120 Speaker 7: has ever done. You know, this is the first time 137 00:06:23,120 --> 00:06:26,559 Speaker 7: we have polled Harris. It's a statistical tie essentially between 138 00:06:26,560 --> 00:06:29,360 Speaker 7: the two candidates. She's technically up one percentage point, but 139 00:06:29,400 --> 00:06:32,160 Speaker 7: that's within the margin of air. The other key takeaway 140 00:06:32,160 --> 00:06:35,280 Speaker 7: here is that black voters, young voters, Hispanic voters are 141 00:06:35,360 --> 00:06:38,080 Speaker 7: much more likely to vote now that Harris is on 142 00:06:38,120 --> 00:06:40,400 Speaker 7: the ticket. So this is, you know, been something that 143 00:06:40,400 --> 00:06:42,880 Speaker 7: that the Trump campaign has created their strategy around of 144 00:06:42,920 --> 00:06:45,600 Speaker 7: trying to get you know, pull away at the margins 145 00:06:45,600 --> 00:06:48,400 Speaker 7: and black voters and Hispanic support. But this would indicate 146 00:06:48,440 --> 00:06:50,719 Speaker 7: that perhaps the tides are shifting in Harris's favor on 147 00:06:50,720 --> 00:06:51,119 Speaker 7: that front. 148 00:06:51,200 --> 00:06:52,600 Speaker 3: Well, that was sort of one of my questions too. 149 00:06:52,640 --> 00:06:55,599 Speaker 3: Are these voters that are switching or are they new 150 00:06:55,680 --> 00:06:57,320 Speaker 3: voters that are swinging these poles. 151 00:06:58,279 --> 00:07:01,160 Speaker 7: So we don't yet know what that is based on 152 00:07:01,200 --> 00:07:03,159 Speaker 7: how the poll works, but what we see is that 153 00:07:03,240 --> 00:07:05,240 Speaker 7: voters who are unsure if they're going to vote are 154 00:07:05,279 --> 00:07:07,560 Speaker 7: now saying they're much more likely that they're going to vote. 155 00:07:07,600 --> 00:07:09,680 Speaker 7: So these may be people who voted in twenty who 156 00:07:09,680 --> 00:07:11,960 Speaker 7: were not enthused by either candidate, who are going to 157 00:07:12,000 --> 00:07:14,000 Speaker 7: stay at home, or people who maybe have never voted. 158 00:07:14,320 --> 00:07:17,560 Speaker 7: But you know, a turnout election is expected to help 159 00:07:17,640 --> 00:07:20,600 Speaker 7: Harris on this front versus Trump. You know, the Trump 160 00:07:20,640 --> 00:07:22,960 Speaker 7: folks were you know, sort of hoping to pull away 161 00:07:23,120 --> 00:07:26,640 Speaker 7: particularly black men Hispanic men, but you know, we're not 162 00:07:26,760 --> 00:07:28,840 Speaker 7: hoping to see a big surgeon turnout that you know, 163 00:07:28,880 --> 00:07:32,200 Speaker 7: really helped Biden in twenty twenty and could potentially help 164 00:07:32,200 --> 00:07:33,160 Speaker 7: Harris in twenty four. 165 00:07:33,600 --> 00:07:35,920 Speaker 2: Or you know, as a former Wall Street person, I 166 00:07:35,960 --> 00:07:39,920 Speaker 2: tend to follow the money and Vice President Kamala Harris 167 00:07:39,920 --> 00:07:41,720 Speaker 2: has had a pretty good run here in the last 168 00:07:41,920 --> 00:07:44,000 Speaker 2: week or so raising money. Do we know where that 169 00:07:44,000 --> 00:07:44,800 Speaker 2: money's coming from. 170 00:07:45,560 --> 00:07:47,680 Speaker 7: Yeah, So, her campaign says they've raised about two hundred 171 00:07:47,720 --> 00:07:49,520 Speaker 7: million dollars and that's in the first week or so 172 00:07:49,680 --> 00:07:53,000 Speaker 7: of the campaign. This is largely from small dollar donors. 173 00:07:53,080 --> 00:07:55,040 Speaker 7: These are people who are going and giving online and 174 00:07:55,080 --> 00:07:57,000 Speaker 7: you know, increments of you know, anywhere from you know, 175 00:07:57,040 --> 00:07:58,480 Speaker 7: just a couple of dollars to you know, up to 176 00:07:58,560 --> 00:08:01,520 Speaker 7: a couple thousand dollars. We've also known that her super Pack, 177 00:08:01,600 --> 00:08:04,240 Speaker 7: this is the group that can accept money in unlimited amounts, 178 00:08:04,240 --> 00:08:07,120 Speaker 7: has gotten one hundred and fifty million in commitments since 179 00:08:07,160 --> 00:08:09,960 Speaker 7: Biden has dropped out of the race. These big dollar donors, 180 00:08:09,960 --> 00:08:12,840 Speaker 7: people who give millions of dollars, had decided to withhold 181 00:08:12,840 --> 00:08:14,760 Speaker 7: a bunch of contributions, you know, in order to sort 182 00:08:14,760 --> 00:08:17,440 Speaker 7: of pressure Biden to get off of the ticket. So 183 00:08:17,480 --> 00:08:19,440 Speaker 7: now that money is coming back into the fore just 184 00:08:19,440 --> 00:08:21,400 Speaker 7: for you know, kind of some in comparison here of 185 00:08:21,520 --> 00:08:24,200 Speaker 7: Harris when she inherited the Biden campaign accounts that had 186 00:08:24,240 --> 00:08:26,640 Speaker 7: about one hundred million dollars. Since then, she's raised another 187 00:08:26,680 --> 00:08:28,760 Speaker 7: two hundred million dollars, So these are really big sums. 188 00:08:29,120 --> 00:08:31,720 Speaker 3: How much of this could be also attributed just to momentum, 189 00:08:31,800 --> 00:08:34,760 Speaker 3: as in, when you have the RNC, the candidate gets 190 00:08:34,800 --> 00:08:36,800 Speaker 3: a boost, the DNC provides a boost. This is an 191 00:08:36,840 --> 00:08:40,840 Speaker 3: unprecedented moment in political history, so no doubt the candidate 192 00:08:40,840 --> 00:08:41,560 Speaker 3: would get a boosed. 193 00:08:42,160 --> 00:08:44,280 Speaker 7: Yes, and the timing year is all really interesting because, 194 00:08:44,280 --> 00:08:46,680 Speaker 7: of course Biden has dropped out two days after the RNC, 195 00:08:46,840 --> 00:08:49,000 Speaker 7: so Trump was expecting to see a big polling boost 196 00:08:49,000 --> 00:08:50,880 Speaker 7: coming out of that. Of course, just a week prior 197 00:08:50,920 --> 00:08:54,000 Speaker 7: that had been the assassination attempt. Leaving the RNC, Republicans 198 00:08:54,000 --> 00:08:56,920 Speaker 7: were very confident about their chances, and you know, even 199 00:08:56,960 --> 00:08:59,319 Speaker 7: Republican operatives were saying one of the things they needed 200 00:08:59,360 --> 00:09:01,920 Speaker 7: to be cautious of is that they weren't overconfident. Of course, 201 00:09:01,960 --> 00:09:04,120 Speaker 7: that all switched, you know, just a couple of days later. 202 00:09:04,400 --> 00:09:06,280 Speaker 7: What the Trump team is saying is, look, this is 203 00:09:06,280 --> 00:09:09,360 Speaker 7: a Harris honeymoon. This is a surgeon momentum that will 204 00:09:09,360 --> 00:09:11,160 Speaker 7: just be a flash in the pan and won't last 205 00:09:11,200 --> 00:09:13,840 Speaker 7: until November. That's really what what we'll be looking for 206 00:09:13,880 --> 00:09:15,240 Speaker 7: in the next couple weeks, if you know, is she 207 00:09:15,320 --> 00:09:18,040 Speaker 7: able to maintain both this fundraising edge as well as 208 00:09:18,040 --> 00:09:20,240 Speaker 7: this polling edge, or do we revert to where you know, 209 00:09:20,280 --> 00:09:22,559 Speaker 7: the Biden Trump race was just with Harris on the 210 00:09:22,600 --> 00:09:23,640 Speaker 7: ticket in a couple of weeks. 211 00:09:23,720 --> 00:09:26,600 Speaker 3: What do we make about the situation in Israel and 212 00:09:26,640 --> 00:09:30,360 Speaker 3: how that is polling for Kamala Harris, Because clearly there's 213 00:09:30,400 --> 00:09:32,439 Speaker 3: a huge section of voters that is very unhappy of 214 00:09:32,480 --> 00:09:35,520 Speaker 3: what's happening in Gaza right that we're maybe not voting 215 00:09:35,520 --> 00:09:39,360 Speaker 3: at all for President Biden, But are they coming back 216 00:09:39,440 --> 00:09:41,840 Speaker 3: in now? Do we know anything along those lines? 217 00:09:42,480 --> 00:09:44,240 Speaker 7: Yeah, So what this poll shows is that people who 218 00:09:44,240 --> 00:09:47,199 Speaker 7: are very concerned about the Israel Gaza war, and particularly 219 00:09:47,240 --> 00:09:49,679 Speaker 7: young voters for whom this is a bigger issue, are 220 00:09:49,720 --> 00:09:52,080 Speaker 7: more likely to vote for Harris. She's taken a softer 221 00:09:52,200 --> 00:09:54,920 Speaker 7: tone on this and is you know, just doesn't have 222 00:09:55,000 --> 00:09:57,160 Speaker 7: quite the same negatives on this issue that Biden does. 223 00:09:57,720 --> 00:09:59,240 Speaker 7: You know, one of the things, you know, particularly just 224 00:09:59,240 --> 00:10:01,679 Speaker 7: with the you know events of late of you know, 225 00:10:01,760 --> 00:10:03,880 Speaker 7: kind of there being more unrest in the Middle East. 226 00:10:04,640 --> 00:10:07,199 Speaker 7: Is you know that the Biden administration is still pushing 227 00:10:07,200 --> 00:10:09,439 Speaker 7: for a ceasefire. Harris is still pushing for a ceasefire. 228 00:10:09,640 --> 00:10:12,040 Speaker 7: Democrats really want this to be an issue that is 229 00:10:12,080 --> 00:10:15,160 Speaker 7: working towards a resolution versus, you know, an issue that's 230 00:10:15,200 --> 00:10:17,720 Speaker 7: flaring up, particularly as students go back to college campuses 231 00:10:17,760 --> 00:10:19,440 Speaker 7: in a couple of weeks. They don't want to see 232 00:10:19,440 --> 00:10:20,760 Speaker 7: the protests that we saw last spring. 233 00:10:21,400 --> 00:10:23,680 Speaker 2: Did the Republicans have buyer's remorse for JD. 234 00:10:23,800 --> 00:10:24,040 Speaker 1: Vance. 235 00:10:24,120 --> 00:10:26,440 Speaker 2: I'm seeing some reporting all along those lines. 236 00:10:27,320 --> 00:10:29,480 Speaker 7: Yes, there's there's a lot of conversations on that, even 237 00:10:29,520 --> 00:10:32,040 Speaker 7: on a Bloomberg television mcmulvaney, who's a Trump ally, came 238 00:10:32,080 --> 00:10:34,520 Speaker 7: on earlier this week and said, no, they're not looking 239 00:10:34,760 --> 00:10:37,520 Speaker 7: to replace JD. Vance. But of course, if you're being 240 00:10:37,559 --> 00:10:39,400 Speaker 7: asked about this, this means that this is at least 241 00:10:39,440 --> 00:10:42,400 Speaker 7: a conversation that is circulating. You know, Vance has had 242 00:10:42,559 --> 00:10:44,600 Speaker 7: a rough rollout, you know, just in about the you know, 243 00:10:44,920 --> 00:10:46,800 Speaker 7: two weeks or so that he's been on the ticket. 244 00:10:47,320 --> 00:10:49,520 Speaker 7: You know, some past comments he's made, you know, sort 245 00:10:49,520 --> 00:10:53,760 Speaker 7: of degrading childless cat ladies have come up. He has 246 00:10:53,840 --> 00:10:55,600 Speaker 7: had had some jokes on the campaign trail that have 247 00:10:55,640 --> 00:10:58,320 Speaker 7: come across as crass and haven't really landed. So this 248 00:10:58,400 --> 00:11:01,400 Speaker 7: is a conversation that's happening on the upon the sort 249 00:11:01,400 --> 00:11:05,320 Speaker 7: of Republican elite to the mainstream Republican class, but isn't 250 00:11:05,360 --> 00:11:07,880 Speaker 7: really reaching the Trump campaign. They have continued to say 251 00:11:08,080 --> 00:11:10,080 Speaker 7: JD is our guy, and we're going to stick by him. 252 00:11:10,160 --> 00:11:12,480 Speaker 2: Our thanks to Lard Davison, Bloomberg Politics Editor. 253 00:11:12,600 --> 00:11:14,720 Speaker 3: Coming up, we're going to break down why wireless carrier 254 00:11:14,760 --> 00:11:17,079 Speaker 3: Team Mobile added more subscribers last quarter. 255 00:11:17,200 --> 00:11:20,160 Speaker 2: You're listening to Bloomberg Intelligence on Bloomberg Radio, providing inft 256 00:11:20,160 --> 00:11:22,400 Speaker 2: research and data on two thousand companies and one hundred 257 00:11:22,440 --> 00:11:25,199 Speaker 2: and thirty industries. You can access Bloomberg Intelligence via b 258 00:11:25,360 --> 00:11:26,400 Speaker 2: I go on the terminal. 259 00:11:26,440 --> 00:11:29,319 Speaker 3: I'm Paul Sweeney and am Alex Steele, and this is Bloomberg. 260 00:11:32,760 --> 00:11:36,640 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 261 00:11:36,720 --> 00:11:39,360 Speaker 1: weekdays at ten am Eastern on Affo car Playing and 262 00:11:39,559 --> 00:11:42,440 Speaker 1: Broud Auto with the Bloomberg Business App. Listen on demand 263 00:11:42,480 --> 00:11:46,800 Speaker 1: wherever you get your podcasts, or watch us live on YouTube. 264 00:11:47,559 --> 00:11:50,320 Speaker 3: Move next to the aerospace industry and Boeing. This week, 265 00:11:50,360 --> 00:11:53,760 Speaker 3: Boeing announced its appointing Kelly Ordberg as its next CEO, 266 00:11:53,840 --> 00:11:55,040 Speaker 3: replacing Dave Calhoun. 267 00:11:55,280 --> 00:11:57,800 Speaker 2: Bobbing made the announcement as it reported burning through more 268 00:11:57,840 --> 00:12:00,640 Speaker 2: than four billion dollars in cash last quarter. Well more 269 00:12:00,679 --> 00:12:02,720 Speaker 2: and all this. We were joined by George Ferguson, Bloomberg 270 00:12:02,760 --> 00:12:05,240 Speaker 2: Intelligence Senior Aerospace, Defense and Airlines analyst. 271 00:12:05,400 --> 00:12:07,560 Speaker 3: He first asked, George, if it's new CEO, is the 272 00:12:07,600 --> 00:12:09,760 Speaker 3: guy that Boeing needs to turn things around? 273 00:12:10,360 --> 00:12:12,760 Speaker 8: Not so sure. I think it's the guy that Boeing 274 00:12:12,800 --> 00:12:16,640 Speaker 8: needs for a small period of time, right because he 275 00:12:16,720 --> 00:12:19,760 Speaker 8: was already retired, right, he has you know, he's a 276 00:12:19,880 --> 00:12:23,760 Speaker 8: great career in aerospace working to Collins, help him put 277 00:12:23,840 --> 00:12:28,600 Speaker 8: Collins into RTX, I mean, a great experience. He's sixty four, 278 00:12:29,280 --> 00:12:30,920 Speaker 8: So my guess is he doesn't have a lot of 279 00:12:31,000 --> 00:12:33,520 Speaker 8: runway to work at Boeing. I think it'd have been 280 00:12:33,559 --> 00:12:36,319 Speaker 8: nicer to see a CEO that could have put I 281 00:12:36,360 --> 00:12:41,959 Speaker 8: don't know, five, seven, ten years into Boeing. But look, 282 00:12:42,000 --> 00:12:43,760 Speaker 8: I think the job is very difficult, and so I 283 00:12:43,760 --> 00:12:45,760 Speaker 8: think it's going to take a lot out of the 284 00:12:45,800 --> 00:12:51,320 Speaker 8: next CEO. And so maybe this is an interim as 285 00:12:51,360 --> 00:12:56,360 Speaker 8: they continue to develop internal candidates for the job. Maybe 286 00:12:56,360 --> 00:12:58,840 Speaker 8: it's very pretty difficult to recruit somebody into this job 287 00:12:58,920 --> 00:13:01,840 Speaker 8: right now. Could be an interim because of that as well. 288 00:13:01,920 --> 00:13:06,760 Speaker 8: So again, you know, the strong aerospace background at the 289 00:13:06,800 --> 00:13:10,480 Speaker 8: component at the you know, parts maker level, but doesn't 290 00:13:10,480 --> 00:13:12,280 Speaker 8: look like someone's going to be around for the next 291 00:13:12,880 --> 00:13:14,160 Speaker 8: five seven years. 292 00:13:14,400 --> 00:13:16,800 Speaker 2: All right, George, all right, so that's the CEO. How 293 00:13:16,800 --> 00:13:19,120 Speaker 2: about on the fundamentals here, I'm looking at the second 294 00:13:19,160 --> 00:13:24,600 Speaker 2: quarter negative adjusted free cash slow four point three billion dollars. 295 00:13:25,360 --> 00:13:27,559 Speaker 2: You can't like that. Talk to us about kind of 296 00:13:27,600 --> 00:13:29,679 Speaker 2: the cash flow, the dynamics and what they need to do. 297 00:13:30,440 --> 00:13:32,760 Speaker 8: So we kind of expected that four point three billion 298 00:13:32,800 --> 00:13:36,959 Speaker 8: dollars to be really honest, I'm not totally sure why 299 00:13:37,000 --> 00:13:39,120 Speaker 8: the stock is up. I don't think it's Kelly because 300 00:13:39,200 --> 00:13:42,400 Speaker 8: Kelly News started the day out and bowing anchors up 301 00:13:42,440 --> 00:13:45,280 Speaker 8: about one so post earnings were up. You know, we've 302 00:13:45,320 --> 00:13:47,960 Speaker 8: done this pop. I mean, you know, we heard from 303 00:13:48,000 --> 00:13:51,040 Speaker 8: CFO Brian West during the call. He told us Burn 304 00:13:51,200 --> 00:13:54,440 Speaker 8: was going to be pretty strong in three Q two, 305 00:13:55,280 --> 00:13:57,440 Speaker 8: and then some the analysts tried to box him in 306 00:13:57,480 --> 00:13:59,160 Speaker 8: on what Burn was going to be for the year. 307 00:13:59,760 --> 00:14:03,520 Speaker 8: One said would be closer to five billion or ten billion. 308 00:14:04,080 --> 00:14:05,880 Speaker 8: He said he wasn't. I think his quote somebody got, 309 00:14:05,880 --> 00:14:07,600 Speaker 8: I'm not smart enough to tell you at this time. 310 00:14:08,360 --> 00:14:11,400 Speaker 8: So there's just a lot of variability right now. That look, 311 00:14:11,440 --> 00:14:16,000 Speaker 8: Boeing has to keep taking inventory, taking ship sets from 312 00:14:16,000 --> 00:14:19,760 Speaker 8: their supplier base to keep their supplier base in business 313 00:14:20,360 --> 00:14:22,480 Speaker 8: while they ramp up builds. And they had some good 314 00:14:22,480 --> 00:14:26,000 Speaker 8: commentaries and builds. They talked about the factory kind of 315 00:14:26,000 --> 00:14:28,320 Speaker 8: putting out twenty ish I think was the number, and 316 00:14:28,400 --> 00:14:31,480 Speaker 8: I think total deliveries in the thirty ish range for 317 00:14:31,600 --> 00:14:35,120 Speaker 8: seven thirty sevens rising to thirty eight shutting down those 318 00:14:35,120 --> 00:14:39,720 Speaker 8: shadow factories. It's the factories that they have the inventoried airplanes, 319 00:14:39,840 --> 00:14:42,840 Speaker 8: a lot of seven three sevens, some seven eight sevens 320 00:14:42,840 --> 00:14:44,520 Speaker 8: in shutting them down by the end of the year. 321 00:14:44,880 --> 00:14:48,240 Speaker 8: That was I think, great commentary. You know, we got 322 00:14:48,240 --> 00:14:50,240 Speaker 8: to the commentary about what's going to go on with 323 00:14:50,280 --> 00:14:53,240 Speaker 8: the union negotiations. Those are coming up in September. Dave 324 00:14:53,320 --> 00:14:56,680 Speaker 8: Calhoun kind of told us he I think wasn't totally 325 00:14:56,840 --> 00:14:59,680 Speaker 8: focused on that right now, or didn't have couldn't give 326 00:14:59,720 --> 00:15:02,880 Speaker 8: us PU and takes there that's incredibly important. Right, So 327 00:15:03,160 --> 00:15:05,240 Speaker 8: if we get into a situation where the union shuts 328 00:15:05,280 --> 00:15:09,480 Speaker 8: this company down in September, the cash burn this year 329 00:15:09,480 --> 00:15:13,720 Speaker 8: looks looks horrible. Their back going to capital markets looking 330 00:15:13,800 --> 00:15:16,120 Speaker 8: for a bond raise, which I think everybody on the 331 00:15:16,120 --> 00:15:18,280 Speaker 8: bond side is scared to death about because they don't 332 00:15:18,280 --> 00:15:20,600 Speaker 8: want to see a fall to investment grade, or they're 333 00:15:20,640 --> 00:15:23,440 Speaker 8: going to the equity side, which the equity guys don't 334 00:15:23,440 --> 00:15:26,000 Speaker 8: want to hear about, right, because that's dilution, you know. 335 00:15:26,040 --> 00:15:28,400 Speaker 8: So I think again commentary was good around deliveries and 336 00:15:28,440 --> 00:15:30,920 Speaker 8: things like that, but a lot of variability coming, you 337 00:15:30,960 --> 00:15:34,560 Speaker 8: know here around this cash flow burn, and it's super important. 338 00:15:34,840 --> 00:15:38,040 Speaker 2: Thanks to George Ferguson Bloomberg Intelligence senior Aerospace, Defense and 339 00:15:38,080 --> 00:15:38,880 Speaker 2: airlines analysts. 340 00:15:39,160 --> 00:15:41,720 Speaker 3: We move next to earnings from Training Technologies, the maker 341 00:15:41,760 --> 00:15:44,120 Speaker 3: of heating and cooling systems. So the company posted better 342 00:15:44,160 --> 00:15:46,360 Speaker 3: than expected earnings in the second quarter and raise it's 343 00:15:46,360 --> 00:15:47,800 Speaker 3: full your forecast. 344 00:15:47,440 --> 00:15:50,800 Speaker 2: From Morewood, joined by Train's CEO Dave REGNERI. First the 345 00:15:50,800 --> 00:15:53,400 Speaker 2: asked David why the company had such positive results. 346 00:15:53,240 --> 00:15:55,760 Speaker 6: As far as what's driving our growth? You know, I 347 00:15:55,760 --> 00:15:57,720 Speaker 6: always tell people we have a system of things that 348 00:15:57,800 --> 00:16:00,960 Speaker 6: makes Train Technology is a great company. And whether it's 349 00:16:01,000 --> 00:16:05,320 Speaker 6: the way we operate our facilities, through our business operating 350 00:16:05,360 --> 00:16:08,520 Speaker 6: system ways, whether it's the way we innovate our new products, 351 00:16:08,600 --> 00:16:12,120 Speaker 6: or whether it's our direct salesforce. Those are a system 352 00:16:12,120 --> 00:16:15,320 Speaker 6: of things that make us a great company. And we 353 00:16:15,400 --> 00:16:17,760 Speaker 6: have a service business that's a third of our company 354 00:16:18,200 --> 00:16:23,000 Speaker 6: that's performing extremely well. In the second quarter, our service 355 00:16:23,040 --> 00:16:27,400 Speaker 6: business was up mid teens from a growth perspective, and 356 00:16:27,520 --> 00:16:30,040 Speaker 6: we have a culture that's you know, we believe in 357 00:16:30,120 --> 00:16:32,800 Speaker 6: challenging what's possible and innovating for a sustainable world. 358 00:16:33,360 --> 00:16:35,840 Speaker 3: So based on that, it's great to chat with you. 359 00:16:35,880 --> 00:16:38,920 Speaker 3: By the way, I love love talking to you, because 360 00:16:38,920 --> 00:16:40,960 Speaker 3: you have such a great read on the residential and 361 00:16:41,040 --> 00:16:44,720 Speaker 3: commercial businesses. Basically a commercial HVAC unit and a near 362 00:16:44,840 --> 00:16:49,400 Speaker 3: term residential HVAC unit, and of course that's heating, ventiletion, 363 00:16:49,680 --> 00:16:53,600 Speaker 3: air and cooling. Where's the strength, where's the growth, where 364 00:16:53,600 --> 00:16:54,440 Speaker 3: are the weak points? 365 00:16:55,520 --> 00:16:58,600 Speaker 6: Yeah, I'll start with residential. We had a very strong 366 00:16:58,720 --> 00:17:01,760 Speaker 6: quarter in the second quarter or revenue was up low teens, 367 00:17:02,320 --> 00:17:06,399 Speaker 6: but that our residential business for the prior I'll say, 368 00:17:06,640 --> 00:17:10,840 Speaker 6: you know, three quarters had really been struggling with a 369 00:17:11,000 --> 00:17:15,320 Speaker 6: refrigerant change that wasn't clear. That's been clarified. It was 370 00:17:15,359 --> 00:17:18,720 Speaker 6: really struggling with excess inventory kind of a hangover from 371 00:17:18,760 --> 00:17:21,560 Speaker 6: the COVID days that was in the channel. Those both 372 00:17:21,680 --> 00:17:24,760 Speaker 6: correct it, and we're off to a very warm start 373 00:17:24,960 --> 00:17:27,560 Speaker 6: to the cooling season, which should have us all concerned 374 00:17:27,560 --> 00:17:31,400 Speaker 6: for a different reason as the climate continues to increase 375 00:17:31,440 --> 00:17:34,000 Speaker 6: in temperature. But I would tell you that it's a 376 00:17:34,080 --> 00:17:36,760 Speaker 6: very strong start of the year, so very strong and residential, 377 00:17:36,840 --> 00:17:40,480 Speaker 6: our commercial business really broad based growth. You know, certainly 378 00:17:40,560 --> 00:17:43,680 Speaker 6: the high growth verticals like data centers. We do very 379 00:17:43,840 --> 00:17:47,840 Speaker 6: very well in our education or in healthcare, but we 380 00:17:47,920 --> 00:17:52,280 Speaker 6: had broad based growth in the Americas. We track fourteen 381 00:17:52,320 --> 00:17:55,679 Speaker 6: different verticals and we were hard pressed to find a 382 00:17:55,800 --> 00:17:59,040 Speaker 6: vertical that we were not strong in. So it was 383 00:17:59,119 --> 00:18:01,640 Speaker 6: just it was a very strong quarter for Trained Technology. 384 00:18:01,680 --> 00:18:04,640 Speaker 6: I'm very proud of what the team's been able to accomplish. 385 00:18:04,880 --> 00:18:08,080 Speaker 2: Yeah, I'm reading the Bloomberg Intelligence research note on your earnings. 386 00:18:08,080 --> 00:18:11,840 Speaker 2: North America's sixteen percent organic growth was much greater than 387 00:18:11,880 --> 00:18:13,200 Speaker 2: the ten percent consensus. 388 00:18:13,480 --> 00:18:14,159 Speaker 3: What drove that? 389 00:18:14,600 --> 00:18:17,639 Speaker 6: Yeah, really two things. Our residential business perform better. Okay, 390 00:18:17,720 --> 00:18:19,800 Speaker 6: we thought that was going to be. You know, in 391 00:18:19,840 --> 00:18:21,920 Speaker 6: the beginning of the year, we thought our residential business 392 00:18:21,920 --> 00:18:24,480 Speaker 6: would below single digits. We came in you know, low 393 00:18:24,560 --> 00:18:28,679 Speaker 6: teams in the quarter, so we significantly outdrove that. And 394 00:18:28,720 --> 00:18:32,040 Speaker 6: then our commercial HVAC business just continues to operate at 395 00:18:32,040 --> 00:18:32,879 Speaker 6: a very high level. 396 00:18:33,359 --> 00:18:34,600 Speaker 5: And like I. 397 00:18:34,560 --> 00:18:38,399 Speaker 6: Said, services was up in the high teens actually in 398 00:18:38,440 --> 00:18:43,080 Speaker 6: the Americas, and their equipment business just continues to exceed 399 00:18:43,119 --> 00:18:47,199 Speaker 6: our customers' expectations. So very strong quarter. You know, I 400 00:18:47,240 --> 00:18:50,720 Speaker 6: was listening to your show earlier. You were talking about sustainability, 401 00:18:50,760 --> 00:18:54,840 Speaker 6: and I would tell you that Trained Technologies our purpose 402 00:18:54,920 --> 00:18:59,960 Speaker 6: is built around sustainability. And what people are talking about 403 00:19:00,080 --> 00:19:02,919 Speaker 6: right now as you're hearing a lot about, you know, 404 00:19:02,920 --> 00:19:05,119 Speaker 6: how much power is going to have to be generated 405 00:19:05,240 --> 00:19:08,199 Speaker 6: to meet the demand that's coming, and you'll hear a 406 00:19:08,200 --> 00:19:10,840 Speaker 6: lot about data centers using a lot of the electricity. 407 00:19:11,280 --> 00:19:14,320 Speaker 6: What nobody is talking about is the amount of power 408 00:19:14,359 --> 00:19:17,600 Speaker 6: that's being generated that's being wasted. And I would tell 409 00:19:17,600 --> 00:19:20,320 Speaker 6: you we call it demand side management. And we know 410 00:19:20,520 --> 00:19:23,800 Speaker 6: because we've done hundreds of thousands of energy audits and 411 00:19:23,880 --> 00:19:27,960 Speaker 6: buildings that most buildings operate about thirty percent inefficiently So 412 00:19:28,119 --> 00:19:30,720 Speaker 6: just think if we could solve that problem, and if 413 00:19:30,720 --> 00:19:33,360 Speaker 6: we can make buildings perform the way they were designed 414 00:19:33,480 --> 00:19:36,200 Speaker 6: or assets performed the way they're designed. Just think about 415 00:19:36,240 --> 00:19:39,440 Speaker 6: the amount that we could save and the energy that's 416 00:19:39,440 --> 00:19:42,040 Speaker 6: being produced and which was obviously has a trickle effect 417 00:19:42,119 --> 00:19:44,679 Speaker 6: to the carbon footprint. So that's what train technology is 418 00:19:44,680 --> 00:19:46,600 Speaker 6: all about. People always ask me, where do you see 419 00:19:46,600 --> 00:19:48,520 Speaker 6: the growth coming from. It's going to be on the 420 00:19:48,520 --> 00:19:50,200 Speaker 6: demand side, management side, all. 421 00:19:50,119 --> 00:19:52,960 Speaker 3: Right, thanks to train Technology CEO at Dave REGNERI. 422 00:19:53,359 --> 00:19:55,760 Speaker 2: We move next to earnings from the wireless carrier T Mobile. 423 00:19:55,840 --> 00:19:59,120 Speaker 2: The company reported new monthly mobile phone subscribers that exceeded 424 00:19:59,119 --> 00:20:00,000 Speaker 2: analys estimates. 425 00:20:00,040 --> 00:20:01,840 Speaker 3: For more on this, we were joined by John Butler, 426 00:20:01,840 --> 00:20:04,920 Speaker 3: Bloomberg Intelligence Senior Telecom analyst, and we first asked John 427 00:20:04,960 --> 00:20:07,879 Speaker 3: why T Mobile did have such a successful quarter. 428 00:20:08,119 --> 00:20:10,480 Speaker 9: You know, it just boils down to this. They lead 429 00:20:10,640 --> 00:20:15,760 Speaker 9: in five G and for any wireless carrier, the lifeblood 430 00:20:15,760 --> 00:20:18,600 Speaker 9: of the network, the speed of the network, that download 431 00:20:18,680 --> 00:20:21,720 Speaker 9: speeds that you get on your phone is dictated by 432 00:20:22,119 --> 00:20:26,080 Speaker 9: how much spectrum you own. In plain English, how fat 433 00:20:26,160 --> 00:20:29,720 Speaker 9: are your air waves? And the great news for T 434 00:20:29,920 --> 00:20:33,840 Speaker 9: Mobile is they have the most spectrum of any of 435 00:20:33,880 --> 00:20:37,000 Speaker 9: their competitors, and they have the right amount of spectrum 436 00:20:37,080 --> 00:20:40,760 Speaker 9: for five G and we're now seeing it translate into 437 00:20:40,880 --> 00:20:41,720 Speaker 9: better results. 438 00:20:42,200 --> 00:20:44,600 Speaker 2: And I'll note that our own Charlie Pellett is a 439 00:20:44,720 --> 00:20:46,680 Speaker 2: very happy T Mobile customer. 440 00:20:46,800 --> 00:20:49,200 Speaker 5: Oh I'm okay, very good. 441 00:20:49,280 --> 00:20:51,400 Speaker 2: I didn't really know any You're probably the only two 442 00:20:51,440 --> 00:20:53,840 Speaker 2: I know, which says something about the circles I run in, 443 00:20:54,240 --> 00:20:57,480 Speaker 2: John Butler, So is this just a share game? 444 00:20:57,560 --> 00:20:57,800 Speaker 8: John? 445 00:20:57,840 --> 00:20:59,800 Speaker 2: I mean, everybody's got a cell phone's got a cell phone? 446 00:20:59,840 --> 00:21:02,480 Speaker 2: So is this just a share game between AT and T, 447 00:21:02,640 --> 00:21:03,840 Speaker 2: Verizon and Timo? 448 00:21:04,320 --> 00:21:06,720 Speaker 9: It is, Paul. You know, it's really in a way 449 00:21:06,800 --> 00:21:10,520 Speaker 9: become a zero sum game. In some ways, there's natural 450 00:21:10,840 --> 00:21:15,520 Speaker 9: organic growth as you know, young kids get phones, older 451 00:21:15,560 --> 00:21:18,800 Speaker 9: people who have been getting phones post pandemic here. I 452 00:21:18,800 --> 00:21:21,600 Speaker 9: think that really shook up enough of the market to 453 00:21:21,720 --> 00:21:24,320 Speaker 9: lead to that little bit of growth on the edges. 454 00:21:25,400 --> 00:21:28,919 Speaker 9: But the bottom line is it's a very slow growth market, 455 00:21:29,000 --> 00:21:31,840 Speaker 9: and so it's all about not only protecting your share, 456 00:21:32,440 --> 00:21:36,119 Speaker 9: but taking it away from your competitors. And T Mobile 457 00:21:36,200 --> 00:21:41,240 Speaker 9: has you know, people forget that. Really wireless is almost 458 00:21:41,240 --> 00:21:44,879 Speaker 9: a retailing game, right, So it's all about branding and 459 00:21:44,960 --> 00:21:50,479 Speaker 9: T Mobile has done a brilliant job manufacturing a brand 460 00:21:50,600 --> 00:21:55,800 Speaker 9: image that's all about being consumer friendly and low prices, 461 00:21:55,960 --> 00:21:58,960 Speaker 9: and so quarter and in quarter out they tend to 462 00:21:59,080 --> 00:22:02,600 Speaker 9: lead their peers at and Team Verizon in terms of 463 00:22:03,280 --> 00:22:07,080 Speaker 9: net new subscriber growth, and this quarter, in my mind, 464 00:22:07,080 --> 00:22:09,159 Speaker 9: they really hit the ball out of the park on 465 00:22:09,240 --> 00:22:09,800 Speaker 9: that front. 466 00:22:10,400 --> 00:22:13,400 Speaker 3: At some point, will I also get my Internet from 467 00:22:13,640 --> 00:22:16,080 Speaker 3: Team Mobile? Like, is this the next area that they 468 00:22:16,119 --> 00:22:17,760 Speaker 3: can just start gobbling up share? 469 00:22:18,520 --> 00:22:21,399 Speaker 9: Possibly? Actually, if you live in New York, I would 470 00:22:21,440 --> 00:22:27,200 Speaker 9: say a definite. Maybe. They've been very cautious in terms 471 00:22:27,400 --> 00:22:32,160 Speaker 9: of managing expectations for where their broadband business is going 472 00:22:32,240 --> 00:22:36,440 Speaker 9: to go. But T Mobile offers both over the air 473 00:22:36,520 --> 00:22:40,639 Speaker 9: broadband called fixed wireless access. You basically put a modem 474 00:22:40,680 --> 00:22:44,080 Speaker 9: in your window. It talks to the wireless network and 475 00:22:44,160 --> 00:22:48,080 Speaker 9: provides you broadband that way. It's a real set it 476 00:22:48,119 --> 00:22:52,000 Speaker 9: and forgeted thing. It's been a major hit with consumers. 477 00:22:52,840 --> 00:22:55,840 Speaker 9: Verizon is also a major player there. But Tea Mobile 478 00:22:55,920 --> 00:22:59,960 Speaker 9: is also getting into fiber broadband. And when you think 479 00:23:00,600 --> 00:23:04,399 Speaker 9: the future of broadband and where it's headed, it really 480 00:23:04,480 --> 00:23:07,040 Speaker 9: is going to come down to fiber in the long run. 481 00:23:07,119 --> 00:23:10,280 Speaker 9: So I think they're placing the right bets. They're moving 482 00:23:10,320 --> 00:23:13,879 Speaker 9: ahead with fixed wireless access for now because they have 483 00:23:14,000 --> 00:23:18,680 Speaker 9: excess capacity on the network, but they're reluctant to really 484 00:23:19,200 --> 00:23:22,960 Speaker 9: ramp up expectations there because broadband eats up a lot 485 00:23:23,000 --> 00:23:26,360 Speaker 9: of that spectrum we were talking about on the network, 486 00:23:26,480 --> 00:23:30,040 Speaker 9: So they don't want to endanger their core wireless mobile 487 00:23:30,119 --> 00:23:33,399 Speaker 9: business by rolling out too much in the way of 488 00:23:33,440 --> 00:23:37,639 Speaker 9: broadband over the air. But I think Fiber hedges their 489 00:23:37,720 --> 00:23:40,879 Speaker 9: bets there, and by the way, they over index in 490 00:23:40,960 --> 00:23:44,000 Speaker 9: New York. They really have great share in New York 491 00:23:44,200 --> 00:23:48,120 Speaker 9: in mobile, so I think broadband is their next foray 492 00:23:48,240 --> 00:23:49,160 Speaker 9: for that market. 493 00:23:49,400 --> 00:23:52,959 Speaker 2: All right, Thanks to John Butler, Bloomberg Intelligence Senior TELECOMMENTA. 494 00:23:52,440 --> 00:23:54,320 Speaker 3: List coming up on the program, a look at quarterly 495 00:23:54,359 --> 00:23:55,400 Speaker 3: earnings from it again. 496 00:23:55,680 --> 00:23:58,679 Speaker 2: You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in 497 00:23:58,720 --> 00:24:01,359 Speaker 2: depth research and data two thousand companies in one hundred 498 00:24:01,359 --> 00:24:04,439 Speaker 2: and thirty industries. You can access Bloomberg Intelligence via Bigo 499 00:24:04,520 --> 00:24:06,320 Speaker 2: on the terminal on Paul Sweeney. 500 00:24:05,920 --> 00:24:08,000 Speaker 3: And am Alex Steele and this is Bloomberg. 501 00:24:13,080 --> 00:24:16,960 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 502 00:24:17,040 --> 00:24:20,560 Speaker 1: weekdays at ten am Eastern on Applecard Play and Android 503 00:24:20,600 --> 00:24:23,359 Speaker 1: Auto with the Bloomberg Business app. You can also listen 504 00:24:23,480 --> 00:24:26,600 Speaker 1: live on Amazon Alexa from our flagship New York station 505 00:24:26,960 --> 00:24:29,720 Speaker 1: Just say Alexa Play Bloomberg eleven thirty. 506 00:24:31,080 --> 00:24:33,720 Speaker 3: We move next to the fast food chain McDonald's. This week, 507 00:24:33,760 --> 00:24:36,800 Speaker 3: the burger chainsaid it experienced its first sales drop in 508 00:24:37,000 --> 00:24:39,520 Speaker 3: four years when it reported second quarter results. 509 00:24:39,960 --> 00:24:42,280 Speaker 2: This comes as a company has pledged to launch new 510 00:24:42,320 --> 00:24:45,359 Speaker 2: promotions to help offset a decline in customer visits, and 511 00:24:45,400 --> 00:24:47,760 Speaker 2: this includes a five dollar value meal deal launched in 512 00:24:47,800 --> 00:24:49,119 Speaker 2: the final week of last quarter. 513 00:24:49,200 --> 00:24:50,679 Speaker 3: For more on all of this, we are joined by 514 00:24:50,680 --> 00:24:53,960 Speaker 3: Michael Hale and Bloomberg Intelligence senior restaurant and food service analyst. 515 00:24:54,160 --> 00:24:57,040 Speaker 2: We first asked Michael first key takeaways for McDonald's earnings. 516 00:24:57,200 --> 00:24:59,119 Speaker 10: The biggest takeaway is that they still have work to do. 517 00:24:59,240 --> 00:25:01,520 Speaker 10: I guess results and as bad as expected. You know, 518 00:25:02,040 --> 00:25:04,679 Speaker 10: July data that we've seen is pretty bad, so the 519 00:25:04,680 --> 00:25:07,920 Speaker 10: fact that they're still negative isn't really surprising, but they 520 00:25:08,000 --> 00:25:10,000 Speaker 10: definitely still have work to do. The five dollars meal 521 00:25:10,040 --> 00:25:12,560 Speaker 10: deal seems to be bringing in some traffic. They're hopeful 522 00:25:12,600 --> 00:25:14,959 Speaker 10: that you know, the sales will follow, but it hasn't 523 00:25:15,040 --> 00:25:17,440 Speaker 10: happened yet, you know, And they talked about the US 524 00:25:17,520 --> 00:25:20,600 Speaker 10: really needing a revamp of its one two three dollar 525 00:25:20,760 --> 00:25:23,359 Speaker 10: value meal. This company has scale that nobody else does. 526 00:25:23,400 --> 00:25:26,160 Speaker 10: They can offer price points that nobody else can. They 527 00:25:26,160 --> 00:25:29,480 Speaker 10: have a ton of marketing might So for those reasons, 528 00:25:29,520 --> 00:25:32,760 Speaker 10: in this really competitive market where where chains are fighting 529 00:25:32,800 --> 00:25:36,439 Speaker 10: hard to track low income consumers, you know, McDonald's definitely 530 00:25:36,440 --> 00:25:37,359 Speaker 10: has the tools. 531 00:25:37,119 --> 00:25:37,439 Speaker 5: To be in. 532 00:25:37,840 --> 00:25:40,959 Speaker 2: For me, the McDonald's experience was always an airport experience 533 00:25:40,960 --> 00:25:43,160 Speaker 2: because I always say I could justify it per say, hey, 534 00:25:43,160 --> 00:25:45,000 Speaker 2: I'm rushed for time to gonna make my flake hid 535 00:25:45,080 --> 00:25:47,879 Speaker 2: something quick. But now all the new airports and like 536 00:25:47,920 --> 00:25:51,000 Speaker 2: the renovated Newark Airport, there's no fast food in those 537 00:25:51,040 --> 00:25:53,199 Speaker 2: things anymore. You have to sit down and order and 538 00:25:53,240 --> 00:25:55,720 Speaker 2: do all that kind of stuff. So that's why that's interesting. 539 00:25:55,760 --> 00:25:57,879 Speaker 3: Isn't there fast food? But you it's like nice stuff 540 00:25:57,920 --> 00:25:58,879 Speaker 3: like wraps. 541 00:25:58,520 --> 00:26:00,399 Speaker 2: Well you get that stuff to go, But I mean 542 00:26:00,480 --> 00:26:03,600 Speaker 2: you could always get like some fast food, serious fast food. 543 00:26:03,440 --> 00:26:03,760 Speaker 5: All right. 544 00:26:03,800 --> 00:26:06,600 Speaker 2: So, Mike, so what's the story for McDonald's here. Do 545 00:26:06,680 --> 00:26:09,800 Speaker 2: they open stores, do they rationalize their footprint, what's kind 546 00:26:09,840 --> 00:26:12,600 Speaker 2: of the strategy there? In terms of managing their footprint 547 00:26:12,600 --> 00:26:13,080 Speaker 2: these days. 548 00:26:13,800 --> 00:26:17,360 Speaker 10: Yeah, well they're there and they're investedtily. Late last year 549 00:26:17,359 --> 00:26:21,160 Speaker 10: they pushed for more aggressive store openings, right, and so 550 00:26:21,520 --> 00:26:23,639 Speaker 10: that's going to continue to be the focus. They're going 551 00:26:23,720 --> 00:26:26,800 Speaker 10: to push hard to grow internationally. China obviously is a 552 00:26:26,800 --> 00:26:29,840 Speaker 10: big point of focus for them. But yeah, it's going 553 00:26:29,920 --> 00:26:33,160 Speaker 10: to be to open stores. But in order to motivate 554 00:26:33,200 --> 00:26:35,760 Speaker 10: their franchisees to open stores, they're going to have to, 555 00:26:36,359 --> 00:26:38,480 Speaker 10: you know, have a strong marketing program that's going to 556 00:26:38,520 --> 00:26:42,400 Speaker 10: pull people into the restaurants, the existing restaurants, grow same 557 00:26:42,480 --> 00:26:46,120 Speaker 10: store sales, improve profitability, and make it just a more 558 00:26:46,119 --> 00:26:49,960 Speaker 10: attractive proposition for their international and US franchisees to open 559 00:26:50,000 --> 00:26:50,560 Speaker 10: new stores. 560 00:26:50,760 --> 00:26:53,639 Speaker 3: Didn't they unveil like a five dollars meal thingy, But 561 00:26:53,720 --> 00:26:55,000 Speaker 3: that was at the end of the quarter, right, so 562 00:26:55,040 --> 00:26:57,480 Speaker 3: we don't really know the full impact of that for McDonald's. 563 00:26:57,640 --> 00:27:00,280 Speaker 10: Yes, yes, so on the call, management said that it's 564 00:27:00,359 --> 00:27:02,840 Speaker 10: driving traffic but not sales yet. So it seems like 565 00:27:02,840 --> 00:27:06,320 Speaker 10: there's some trade down from current customers saying, you know, 566 00:27:06,520 --> 00:27:08,159 Speaker 10: well five dollars, I get a lot of food for 567 00:27:08,200 --> 00:27:10,760 Speaker 10: that five dollars, So maybe instead of getting a big McNeal, 568 00:27:10,840 --> 00:27:13,840 Speaker 10: I'll get this five dollars meal deal. But so it 569 00:27:13,880 --> 00:27:18,000 Speaker 10: hasn't really impacted results yet, but they said that, you know, 570 00:27:18,200 --> 00:27:21,840 Speaker 10: historically traffic comes before the sales boosts, and so they 571 00:27:21,880 --> 00:27:24,720 Speaker 10: seem positive on it in this near term. You know, 572 00:27:24,760 --> 00:27:27,080 Speaker 10: they said ninety three percent of franchisees in the US 573 00:27:27,119 --> 00:27:30,520 Speaker 10: have agreed to extend this offer deeper into the summer. 574 00:27:31,000 --> 00:27:33,800 Speaker 10: So they seem positive on it. But their real focus 575 00:27:33,880 --> 00:27:35,200 Speaker 10: is going to have to be on the one, two, 576 00:27:35,280 --> 00:27:39,920 Speaker 10: three dollars value menu. That menu isn't resonating with customers, right, 577 00:27:39,960 --> 00:27:42,880 Speaker 10: and it seems like a full revamp is in the cards. 578 00:27:42,920 --> 00:27:44,320 Speaker 5: You know, they've they've received a lot of. 579 00:27:44,320 --> 00:27:47,320 Speaker 10: Shade on social media that you can't find anything on 580 00:27:47,359 --> 00:27:50,480 Speaker 10: that menu for a buck, right, and so some reengineering 581 00:27:50,760 --> 00:27:52,760 Speaker 10: is going to be necessary here in the United States. 582 00:27:52,840 --> 00:27:55,159 Speaker 2: All right, dumb question of the day comes from me. 583 00:27:55,400 --> 00:27:59,120 Speaker 2: Never at McDonald's, Burger King, even Starbucks, the drive through 584 00:27:59,200 --> 00:28:03,280 Speaker 2: line or the twenty cars deep. I walk inside, I 585 00:28:03,320 --> 00:28:05,760 Speaker 2: walk right up to the counter and boom, I'm served. 586 00:28:05,800 --> 00:28:07,879 Speaker 2: And if I'm a McDonald's, isn't that a source of 587 00:28:07,920 --> 00:28:09,560 Speaker 2: opportunity for me to figure out how to get them 588 00:28:09,560 --> 00:28:10,040 Speaker 2: through faster. 589 00:28:10,520 --> 00:28:11,960 Speaker 5: Yeah, well, I guess we're lazy. 590 00:28:12,200 --> 00:28:16,280 Speaker 10: That's that's the problem, right, But uh no, to your point, 591 00:28:16,359 --> 00:28:20,080 Speaker 10: you know, a big percentage. You know, historically the counter 592 00:28:20,160 --> 00:28:23,520 Speaker 10: was like say fifteen percent of a drive through restaurant sales, 593 00:28:23,560 --> 00:28:26,840 Speaker 10: and historically that's really just been used when the drive 594 00:28:26,840 --> 00:28:28,800 Speaker 10: through line is too long and people say, you know, 595 00:28:28,800 --> 00:28:30,359 Speaker 10: I don't want to wait that long. I'm gonna go 596 00:28:30,440 --> 00:28:33,840 Speaker 10: inside and pick up my stuff. So there is an opportunity, 597 00:28:33,840 --> 00:28:35,720 Speaker 10: there's and it's a it's a point of focus for 598 00:28:35,760 --> 00:28:38,320 Speaker 10: all of the quick service restaurants we cover. Everybody is 599 00:28:38,400 --> 00:28:42,120 Speaker 10: constantly trying to improve their throughput, you know, decrease the 600 00:28:42,200 --> 00:28:45,760 Speaker 10: time waiting in line, because they know, if there's you know, 601 00:28:45,880 --> 00:28:49,200 Speaker 10: at a certain number of cars for McDonald's, historically it's 602 00:28:49,200 --> 00:28:50,800 Speaker 10: been you know, say five or six cars in the 603 00:28:50,880 --> 00:28:53,120 Speaker 10: drive through, people will either you know, drive past the 604 00:28:53,160 --> 00:28:55,160 Speaker 10: restaurant or maybe they'll say, you know what, I'll park 605 00:28:55,200 --> 00:28:59,160 Speaker 10: and come in. But uh that's that's potentially business loss. 606 00:28:59,240 --> 00:28:59,440 Speaker 5: Right. 607 00:28:59,480 --> 00:29:02,400 Speaker 10: So you know, improving throughput at the drive through, in 608 00:29:02,480 --> 00:29:05,200 Speaker 10: at the counter is constantly a point. 609 00:29:07,640 --> 00:29:09,440 Speaker 3: I mean in theory, right, you get like an I 610 00:29:09,760 --> 00:29:13,440 Speaker 3: thing to do the drive through, right, But that has 611 00:29:13,480 --> 00:29:16,400 Speaker 3: been really tough to manage right now, right, it's not 612 00:29:16,440 --> 00:29:17,200 Speaker 3: really the best. 613 00:29:17,960 --> 00:29:18,719 Speaker 5: It's not working. 614 00:29:18,880 --> 00:29:21,160 Speaker 10: I mean, people have they're having a lot of trouble 615 00:29:21,240 --> 00:29:25,680 Speaker 10: with accents, not only from you know, international customers, but 616 00:29:25,720 --> 00:29:29,720 Speaker 10: also dialects across the United States, so voice ordering and 617 00:29:30,400 --> 00:29:32,480 Speaker 10: a lot of these AI initiatives. You know, there's a 618 00:29:32,560 --> 00:29:35,080 Speaker 10: lot of potential with them, but they haven't been able 619 00:29:35,080 --> 00:29:36,520 Speaker 10: to really pay dividends just yet. 620 00:29:36,680 --> 00:29:39,400 Speaker 2: All right, So what is the investment call here, Mike 621 00:29:39,480 --> 00:29:43,560 Speaker 2: for some of these fast service McDonald's, Burger King, what's 622 00:29:43,600 --> 00:29:45,400 Speaker 2: the investment call here for these names? 623 00:29:45,680 --> 00:29:47,880 Speaker 10: Well, they're looking at you know, it's interesting because the 624 00:29:48,200 --> 00:29:50,840 Speaker 10: year over your comparisons, base effects get easier into the 625 00:29:50,880 --> 00:29:54,200 Speaker 10: second half, but the consumer's weakening, right, and so you 626 00:29:54,240 --> 00:29:58,200 Speaker 10: know McDonald said they expect you know, more consumer weakness 627 00:29:58,200 --> 00:30:02,160 Speaker 10: over the next few quarters, right, And so there's definitely 628 00:30:02,200 --> 00:30:05,200 Speaker 10: concern about about restaurants spending here in the second half. 629 00:30:05,240 --> 00:30:07,000 Speaker 5: You know, I think I mentioned it at the top. 630 00:30:07,080 --> 00:30:11,480 Speaker 10: McDonald's is well positioned though in you know, periods of distress. 631 00:30:11,520 --> 00:30:14,280 Speaker 10: You know, during the Great Recession, they outperform by offering 632 00:30:14,400 --> 00:30:17,720 Speaker 10: value that competitors couldn't match, right, and so it's a 633 00:30:17,800 --> 00:30:20,920 Speaker 10: very tough environment. But we think McDonald's is positioned pretty 634 00:30:20,960 --> 00:30:23,040 Speaker 10: well for such a tough environment. 635 00:30:23,360 --> 00:30:26,760 Speaker 3: In the value war where everyone's chasing a smaller part 636 00:30:26,800 --> 00:30:30,600 Speaker 3: of everyone's wallet. How do these guys remain profitable? I'm 637 00:30:30,600 --> 00:30:33,000 Speaker 3: not saying McDonald's, but like all its competitors too, like 638 00:30:33,040 --> 00:30:35,520 Speaker 3: it's sort of a race to the bottom to some perspective, 639 00:30:35,520 --> 00:30:36,440 Speaker 3: how does that play out? 640 00:30:37,160 --> 00:30:39,080 Speaker 10: It's not just a race to the bottom. So in 641 00:30:39,160 --> 00:30:42,520 Speaker 10: terms of the loan, they're trying hard to keep that 642 00:30:42,720 --> 00:30:45,760 Speaker 10: low income consumer business, and there's no doubt that that's 643 00:30:45,800 --> 00:30:49,160 Speaker 10: a big focus right now, but they're also bringing in 644 00:30:49,640 --> 00:30:53,960 Speaker 10: you know, middle income and higher income consumers into the fold, right, 645 00:30:54,000 --> 00:30:58,040 Speaker 10: So you also get this traded down effect where you know, yes, sure, 646 00:30:58,080 --> 00:31:00,520 Speaker 10: low income consumers are trading down into grosser restore, but 647 00:31:00,720 --> 00:31:03,120 Speaker 10: McDonald's and some of their competitors, Jack in the Box 648 00:31:03,160 --> 00:31:06,320 Speaker 10: being one, you know, Chipotle, have been able to attract 649 00:31:06,320 --> 00:31:09,200 Speaker 10: these higher income consumers that actually come in and buy 650 00:31:09,200 --> 00:31:12,280 Speaker 10: premium items and spend more when they come. The problem 651 00:31:12,320 --> 00:31:15,040 Speaker 10: is they're just a much lower percentage of the of 652 00:31:15,080 --> 00:31:17,440 Speaker 10: the overall traffic. But that's what we've seen over the 653 00:31:17,480 --> 00:31:19,520 Speaker 10: last year and a half or so's chains that have 654 00:31:19,560 --> 00:31:22,680 Speaker 10: been able to attract these higher income consumers are definitely outperforming. 655 00:31:22,880 --> 00:31:25,920 Speaker 2: So where in your overall space there mic on the 656 00:31:25,960 --> 00:31:28,560 Speaker 2: restaurant side is the best place to be these days. 657 00:31:29,000 --> 00:31:31,720 Speaker 10: It's companies that provide a lot of value and a 658 00:31:31,840 --> 00:31:34,400 Speaker 10: very good price point, right and so, you know, like 659 00:31:34,480 --> 00:31:37,520 Speaker 10: most earning seasons and industries, you know, a lot of 660 00:31:37,520 --> 00:31:41,000 Speaker 10: the top performers end up reporting earnings first, and we've 661 00:31:41,040 --> 00:31:45,120 Speaker 10: seen that Chipotle and Texas Roadhouse are two They outperform 662 00:31:45,200 --> 00:31:48,640 Speaker 10: everybody on seamsore sales over the last five years and 663 00:31:48,720 --> 00:31:50,959 Speaker 10: it's not even there's not even a close second. And 664 00:31:51,000 --> 00:31:53,760 Speaker 10: a big reason why they've outperformed by so much is 665 00:31:53,800 --> 00:31:56,800 Speaker 10: that customers see a lot of value on that plate 666 00:31:56,840 --> 00:31:59,120 Speaker 10: for the price that they pay right and there, and 667 00:31:59,160 --> 00:32:02,800 Speaker 10: they're provided a pret good customer experience, and that's what's 668 00:32:02,840 --> 00:32:06,000 Speaker 10: bringing people in the door. If you're providing very strong 669 00:32:06,160 --> 00:32:10,120 Speaker 10: everyday value and a good in restaurant experience, you know, 670 00:32:10,200 --> 00:32:13,560 Speaker 10: clean restaurants, good service, when everything that that entails, then 671 00:32:13,560 --> 00:32:14,320 Speaker 10: you're winning, all right. 672 00:32:14,320 --> 00:32:17,200 Speaker 3: Thanks to Michael Halen, Bloomberg Intelligence Senior restaurant and food 673 00:32:17,280 --> 00:32:18,880 Speaker 3: service analyst, we next. 674 00:32:18,680 --> 00:32:21,280 Speaker 2: Take a look at earnings from the Dutch brewer Heineken. 675 00:32:21,520 --> 00:32:24,040 Speaker 2: This week, the company report a quarterly profit and revenue 676 00:32:24,040 --> 00:32:26,040 Speaker 2: that fell short of analyst expectations. 677 00:32:26,200 --> 00:32:28,680 Speaker 3: Heinegansited a nine hundred and forty nine million dollars hit 678 00:32:28,760 --> 00:32:32,000 Speaker 3: as at stake in China's largest brewer has fallen in value. 679 00:32:32,120 --> 00:32:33,960 Speaker 3: For more on this, we were joined by Duncan Fox, 680 00:32:33,960 --> 00:32:36,200 Speaker 3: Bloomberg Intelligence consumer staples analyst. 681 00:32:36,480 --> 00:32:38,640 Speaker 2: We first asked Duncan to take us through the laundry 682 00:32:38,680 --> 00:32:40,560 Speaker 2: list of things that were a problem for Heinegen. 683 00:32:40,960 --> 00:32:43,520 Speaker 11: Well, I suppose the main one was consumer sentiment was 684 00:32:43,880 --> 00:32:47,640 Speaker 11: still quite weak, so what they were hoping for was 685 00:32:47,640 --> 00:32:50,160 Speaker 11: a bit of a bounce back in Europe for volume 686 00:32:50,200 --> 00:32:53,640 Speaker 11: with the euro twenty four, but unfortunately the weather was 687 00:32:53,840 --> 00:32:56,600 Speaker 11: just again four in northern Europe, so that was a 688 00:32:56,680 --> 00:33:01,920 Speaker 11: his In China, it's just that China Resources a share 689 00:33:01,960 --> 00:33:04,880 Speaker 11: price has been below the price they bought it for 690 00:33:05,040 --> 00:33:08,640 Speaker 11: about four or five months now, and the accounting system 691 00:33:08,760 --> 00:33:11,720 Speaker 11: means they have to take that hit. So if if 692 00:33:11,760 --> 00:33:14,280 Speaker 11: that share price goes back up again whenever the Chinese 693 00:33:14,480 --> 00:33:18,920 Speaker 11: economy recovers, then they'll get some sort of recovery from that. 694 00:33:19,040 --> 00:33:20,880 Speaker 11: But I can't tell you when that will be, so 695 00:33:20,920 --> 00:33:22,600 Speaker 11: it's just double consumer. 696 00:33:22,920 --> 00:33:26,280 Speaker 2: So what is Heineken saying about just underlying demand in general? 697 00:33:26,320 --> 00:33:28,600 Speaker 2: What are they saying about the consumer and is there 698 00:33:28,960 --> 00:33:29,880 Speaker 2: regional differences? 699 00:33:29,920 --> 00:33:36,040 Speaker 11: I guess basically the consumer's been hit by inflation curvac 700 00:33:36,080 --> 00:33:39,360 Speaker 11: years from double digit pricing, and I think they're just 701 00:33:39,560 --> 00:33:42,600 Speaker 11: pairing back. The big problem is that people are not 702 00:33:42,640 --> 00:33:45,640 Speaker 11: really going to the partner as much the entrade that's 703 00:33:45,680 --> 00:33:48,840 Speaker 11: where they make great profit. Well in Europe, it's certainly 704 00:33:48,880 --> 00:33:52,520 Speaker 11: been the case in places like Africa where you've had 705 00:33:52,560 --> 00:33:55,840 Speaker 11: devaluation as well. You've just got a working way through 706 00:33:55,880 --> 00:33:58,520 Speaker 11: that and they've done a very good job actually, but 707 00:33:59,120 --> 00:34:03,360 Speaker 11: you still have short term issue where you know, Nigeria 708 00:34:03,440 --> 00:34:05,400 Speaker 11: is a big, big market for them and you get 709 00:34:05,400 --> 00:34:09,319 Speaker 11: a massive devaluation and so they're just working their way 710 00:34:09,360 --> 00:34:11,680 Speaker 11: through all these issues. They're doing actually quite a good 711 00:34:11,719 --> 00:34:14,879 Speaker 11: job on the ground. But weather was the real thing 712 00:34:14,920 --> 00:34:17,480 Speaker 11: that was a surprise. I mean, the upgraded guidance a little, 713 00:34:17,920 --> 00:34:19,799 Speaker 11: but I think people are expecting a bit more because 714 00:34:19,800 --> 00:34:20,759 Speaker 11: of the Euro twenty four. 715 00:34:21,200 --> 00:34:25,120 Speaker 3: So Paul brought up sort of those mixed infused cocktails 716 00:34:25,160 --> 00:34:27,880 Speaker 3: and stuff. I can get the mimosa in a can. 717 00:34:28,000 --> 00:34:31,000 Speaker 3: It's not terrible at all. Does Heineken have exposure to 718 00:34:31,080 --> 00:34:33,239 Speaker 3: that kind of stuff and is that sort of eroding 719 00:34:33,400 --> 00:34:34,920 Speaker 3: the appeal of beer at all? 720 00:34:35,480 --> 00:34:38,359 Speaker 11: Well, beers getting it from each from every angle really, 721 00:34:38,360 --> 00:34:41,000 Speaker 11: because you're seeing a lot of these new odd drinks. 722 00:34:41,040 --> 00:34:41,919 Speaker 11: I probably grew with. 723 00:34:41,800 --> 00:34:42,440 Speaker 8: Poorn and that once. 724 00:34:42,560 --> 00:34:45,919 Speaker 11: Some of them are a bit weird. But they've got Desperado, 725 00:34:46,000 --> 00:34:49,719 Speaker 11: which is a spirit tasted beer, tequila based beer, which 726 00:34:49,800 --> 00:34:53,480 Speaker 11: is doing very well. So they have got things that 727 00:34:53,520 --> 00:34:57,040 Speaker 11: they can attack these products with. But you need to 728 00:34:57,120 --> 00:35:01,920 Speaker 11: keep basically innovating with new things all the time. You know, 729 00:35:02,000 --> 00:35:05,040 Speaker 11: Diazu're doing a pretty good job on trying to do that. 730 00:35:05,120 --> 00:35:07,640 Speaker 11: But the problem is some of these don't last very 731 00:35:07,680 --> 00:35:10,520 Speaker 11: long the eighteen months and then things sort of fall 732 00:35:10,560 --> 00:35:12,960 Speaker 11: off a cliff, So you've got to sort of keep 733 00:35:13,000 --> 00:35:16,000 Speaker 11: replacing them otherwise you're getting to a bit of trouble. Actually, 734 00:35:16,000 --> 00:35:18,000 Speaker 11: the Hearneken one's doing well, but they just haven't come 735 00:35:18,040 --> 00:35:20,560 Speaker 11: up with innovation in that area. It's probably not their 736 00:35:20,640 --> 00:35:21,600 Speaker 11: key area for them. 737 00:35:21,880 --> 00:35:24,320 Speaker 2: Is Hanegan calling out different regions of the world behaving 738 00:35:24,680 --> 00:35:27,960 Speaker 2: differently as the US market stronger than the European. 739 00:35:27,680 --> 00:35:30,680 Speaker 3: If you have a nice beach, your sales are up exactly. 740 00:35:31,640 --> 00:35:33,879 Speaker 11: Well, certainly it's the suns out. They're not that big. 741 00:35:33,880 --> 00:35:37,520 Speaker 11: In the US Latin America, they're big, and they've they've 742 00:35:37,560 --> 00:35:40,120 Speaker 11: been they've taken quite a lot of costs out. They 743 00:35:40,160 --> 00:35:42,960 Speaker 11: were importing bottles to Brazil, for instance, which is a 744 00:35:43,040 --> 00:35:45,680 Speaker 11: huge market for them, so they've taken the cost down. 745 00:35:45,719 --> 00:35:49,920 Speaker 11: So it's not particularly great consumer environment there, but the 746 00:35:49,920 --> 00:35:53,520 Speaker 11: profits are improving because you know, they've realigned their cost space. 747 00:35:54,000 --> 00:35:57,200 Speaker 11: In Asia, they're bouncing back from a really horrid time 748 00:35:57,280 --> 00:35:58,080 Speaker 11: last year where. 749 00:35:57,920 --> 00:35:58,600 Speaker 6: The economy is. 750 00:35:58,719 --> 00:36:02,120 Speaker 11: Vietnam in particular, had a terrible time in sort of 751 00:36:02,200 --> 00:36:05,280 Speaker 11: Q two and Q three last year. That's bouncing back. 752 00:36:05,760 --> 00:36:09,560 Speaker 11: I wouldn't say the beer market because of regulation, is buoyant, 753 00:36:10,200 --> 00:36:14,200 Speaker 11: but they're gaining share and they've done innovation on the beer. 754 00:36:14,600 --> 00:36:16,719 Speaker 11: Beer market there there seems to be working very well. 755 00:36:16,800 --> 00:36:18,839 Speaker 11: So there are a few issues in Asia that they've 756 00:36:18,840 --> 00:36:23,359 Speaker 11: still got to overcome. China some quite a chunky bit 757 00:36:23,400 --> 00:36:26,080 Speaker 11: of their market now, so they need to see that 758 00:36:26,239 --> 00:36:29,799 Speaker 11: economy improved. Places like Cambodia have got a bit of 759 00:36:29,800 --> 00:36:32,160 Speaker 11: an issue in the short term because of the economic growth. 760 00:36:32,480 --> 00:36:37,040 Speaker 11: So just a case of good old policies from governments 761 00:36:37,120 --> 00:36:40,760 Speaker 11: turning the economies around. I'm surely get a bit happier 762 00:36:40,760 --> 00:36:43,480 Speaker 11: with book. We'd life and people then go out and 763 00:36:43,520 --> 00:36:44,000 Speaker 11: buy beer. 764 00:36:44,320 --> 00:36:47,799 Speaker 3: Thanks to Duncan Fox, Bloomberg Intelligence Consumer Staples Analyst. 765 00:36:48,000 --> 00:36:52,120 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apples, by 766 00:36:52,239 --> 00:36:54,719 Speaker 1: the Pie and anywhere else you will get your podcasts. 767 00:36:54,960 --> 00:36:58,040 Speaker 1: Listen live each weekday ten am to noon Eastern on 768 00:36:58,120 --> 00:37:01,480 Speaker 1: Bloomberg dot com, the IR Radio app, tune In, and 769 00:37:01,560 --> 00:37:04,480 Speaker 1: the Bloomberg Business app. You can also watch us live 770 00:37:04,600 --> 00:37:08,080 Speaker 1: every weekday on YouTube and always on the Bloomberg terminal