1 00:00:04,760 --> 00:00:08,080 Speaker 1: Welcome to the Bloomberg P and L Podcast. I'm Pim Fox. 2 00:00:08,119 --> 00:00:11,159 Speaker 1: Along with my co host Lisa Abramowitz. Each day we 3 00:00:11,280 --> 00:00:14,480 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:14,520 --> 00:00:16,880 Speaker 1: you and your money, whether at the grocery store or 5 00:00:16,920 --> 00:00:20,680 Speaker 1: the trading floor. Find the Bloomberg P L Podcast on iTunes, 6 00:00:20,840 --> 00:00:31,040 Speaker 1: SoundCloud and at Bloomberg dot com. President Trump this morning 7 00:00:31,520 --> 00:00:36,400 Speaker 1: signed an order to renegotiate the US trade agreements with 8 00:00:36,520 --> 00:00:40,040 Speaker 1: Mexico and Canada under NAFTA. I want to get a 9 00:00:40,080 --> 00:00:42,879 Speaker 1: little bit more insight now on what this means for 10 00:00:43,000 --> 00:00:48,879 Speaker 1: Canadian US relationships. It's bringing Josh Wingrove, Canada Politics reporter Josh. 11 00:00:48,960 --> 00:00:51,800 Speaker 1: Do we have a sense of what President Trump might 12 00:00:52,040 --> 00:00:56,360 Speaker 1: start with in his renegotiation of his Canadian trade deals? 13 00:00:56,600 --> 00:00:59,320 Speaker 1: I mean defense from the Canadians. Is he going to 14 00:00:59,320 --> 00:01:02,400 Speaker 1: start with mexic Co and all the industries that are 15 00:01:02,480 --> 00:01:05,319 Speaker 1: driving what he sees as a trade and balance with 16 00:01:05,600 --> 00:01:08,880 Speaker 1: Mexico and not Canada. And I think that's what's really 17 00:01:08,959 --> 00:01:12,080 Speaker 1: going to splinter the nap the path as we know 18 00:01:12,160 --> 00:01:15,080 Speaker 1: it right now, is that Canada thinks, if not hopes, 19 00:01:15,200 --> 00:01:18,679 Speaker 1: that it is not the target. The ambassador here or 20 00:01:18,720 --> 00:01:21,280 Speaker 1: the Canadian ambassador to the US said that they don't 21 00:01:21,319 --> 00:01:23,920 Speaker 1: want to become the collateral damages Donald Trump makes it 22 00:01:23,959 --> 00:01:26,880 Speaker 1: takes measures that will address that trade and balance. So 23 00:01:27,440 --> 00:01:29,559 Speaker 1: for them, I think it's really a wait and see. 24 00:01:30,000 --> 00:01:32,679 Speaker 1: Canada is the top provider princess of oil for an 25 00:01:32,680 --> 00:01:34,600 Speaker 1: oil to the US, and they don't think that that 26 00:01:34,640 --> 00:01:37,560 Speaker 1: will be impacted, So that would at least blunt any 27 00:01:37,600 --> 00:01:40,600 Speaker 1: initial impact for the Canadian economy. Josh, We're getting a 28 00:01:40,640 --> 00:01:43,600 Speaker 1: report that Donald the President, Donald Trump's son in law, 29 00:01:43,720 --> 00:01:47,800 Speaker 1: Jared Kushner, will be going to Calgary for a meeting 30 00:01:47,960 --> 00:01:52,880 Speaker 1: with Justin Trudeau and his team. He is supposed to 31 00:01:52,920 --> 00:01:56,560 Speaker 1: travel there tomorrow, where Trudeau and his cabinet are currently 32 00:01:56,560 --> 00:02:00,360 Speaker 1: holding a two day retreat focused largely on a new 33 00:02:00,920 --> 00:02:05,920 Speaker 1: US administration. Does send me just having Jared Kushner arrive 34 00:02:06,000 --> 00:02:11,920 Speaker 1: in Calgary? Does that bode well for US Canada relations? Yeah, 35 00:02:12,120 --> 00:02:15,160 Speaker 1: I think so. I'm in Calgary now. The meetings here 36 00:02:15,200 --> 00:02:18,560 Speaker 1: have just kicked off. Steven Schwartzman, was tied to Trump 37 00:02:18,560 --> 00:02:21,120 Speaker 1: as well, is also here to speak to the Canadian 38 00:02:21,160 --> 00:02:24,840 Speaker 1: government cabinet about what, if anything he thinks the you know, 39 00:02:24,880 --> 00:02:27,200 Speaker 1: the m O of this Trump administration is going to be. 40 00:02:27,760 --> 00:02:31,919 Speaker 1: Kushner and Stephen Bannon have had talks with Justin Trudeau's 41 00:02:31,919 --> 00:02:35,880 Speaker 1: most senior aids dating back to December. He appears to 42 00:02:35,880 --> 00:02:38,280 Speaker 1: be sort of the go to guy for Trump when 43 00:02:38,280 --> 00:02:40,120 Speaker 1: it comes to Canada ties, and so I think that 44 00:02:40,160 --> 00:02:43,760 Speaker 1: the Canadians are seeing his reported attendance here at this 45 00:02:43,840 --> 00:02:47,040 Speaker 1: meeting tomorrow as a as a good sign. Josh, can 46 00:02:47,080 --> 00:02:49,880 Speaker 1: I assume that when you say that Canada is hoping 47 00:02:49,919 --> 00:02:53,400 Speaker 1: that Mexico is the primary target of this, that Canada 48 00:02:53,440 --> 00:02:57,120 Speaker 1: is expecting no change to its trade agreements with the 49 00:02:57,160 --> 00:02:59,480 Speaker 1: US as a results of this, Is that is that right? No, 50 00:02:59,680 --> 00:03:02,400 Speaker 1: I don't think that that. I think they're expecting that 51 00:03:02,480 --> 00:03:05,960 Speaker 1: there's no intent to fundamentally change, But their concern is 52 00:03:06,000 --> 00:03:08,560 Speaker 1: that they're going to be painting with such a wide 53 00:03:08,560 --> 00:03:12,000 Speaker 1: brush out of Washington that Canada might not be able 54 00:03:12,040 --> 00:03:14,040 Speaker 1: to avoid getting caught up in things. It would be 55 00:03:14,040 --> 00:03:16,400 Speaker 1: the biggest risk will be the biggest risk for Canada. 56 00:03:16,960 --> 00:03:19,440 Speaker 1: The biggest risk or on new border taxes, probably that 57 00:03:19,480 --> 00:03:22,600 Speaker 1: with the flow of goods across the Canada U s 58 00:03:22,680 --> 00:03:26,200 Speaker 1: border is staggering and the supply chains are sort of 59 00:03:26,240 --> 00:03:29,240 Speaker 1: interconnected back and forth in other words, which it can 60 00:03:29,280 --> 00:03:32,680 Speaker 1: cross the border several times before it actually hits the market, 61 00:03:32,800 --> 00:03:34,880 Speaker 1: and if you start tagging those back and back, it 62 00:03:34,920 --> 00:03:39,000 Speaker 1: would throw into disarray the whole scheme at Trudeau's big 63 00:03:39,080 --> 00:03:41,880 Speaker 1: argument with Trump is that thirty five U S States 64 00:03:41,880 --> 00:03:44,960 Speaker 1: have Canada as their top export market and they hope 65 00:03:44,960 --> 00:03:46,640 Speaker 1: that that's our sort of ace in the hole here 66 00:03:46,640 --> 00:03:50,080 Speaker 1: in Canada. Is there any way that you can kind 67 00:03:50,080 --> 00:03:54,080 Speaker 1: of quantify the Canadian economy forest right now and the 68 00:03:54,120 --> 00:03:57,840 Speaker 1: perception of how Justin Trudeau and his Liberals are doing 69 00:03:58,640 --> 00:04:01,360 Speaker 1: it's sluggish right now. Can that fundamentally has been an 70 00:04:01,360 --> 00:04:03,760 Speaker 1: oil uh sort of energy economy, and for two and 71 00:04:03,800 --> 00:04:06,600 Speaker 1: a half years they've been struggling with how to spur 72 00:04:06,840 --> 00:04:10,600 Speaker 1: that growth. And so any dip or hit from reduced 73 00:04:10,640 --> 00:04:13,640 Speaker 1: trade with the US, which makes up about seventy of 74 00:04:13,680 --> 00:04:17,120 Speaker 1: Canada's total trade, would be would be a significant thing. 75 00:04:17,120 --> 00:04:20,000 Speaker 1: Trudeau is pushing Canada deeper into deficit and a bit 76 00:04:20,040 --> 00:04:23,360 Speaker 1: to drive growth. That money has been slow going out 77 00:04:23,400 --> 00:04:27,040 Speaker 1: the door. The data points recently have been mixed, and 78 00:04:27,120 --> 00:04:30,680 Speaker 1: so really the any US disruption would be viewed by 79 00:04:30,680 --> 00:04:33,160 Speaker 1: Canada is just sort of another straw on the Canal's 80 00:04:33,200 --> 00:04:35,679 Speaker 1: back of the economy that's really struggling to pick up team, 81 00:04:35,760 --> 00:04:38,800 Speaker 1: and you're one what is it, one thirty three Canadian 82 00:04:39,120 --> 00:04:42,640 Speaker 1: to the dollar. Yeah, that, which has been flagged by 83 00:04:42,640 --> 00:04:45,760 Speaker 1: Stephen Polas is actually too strong. Our Bank Canada governor 84 00:04:45,839 --> 00:04:47,880 Speaker 1: here thinks that the if the dollar was weaker, that 85 00:04:47,920 --> 00:04:52,120 Speaker 1: we'd be seeing a bigger uptick in manufacturing. Canada's typical 86 00:04:52,360 --> 00:04:55,800 Speaker 1: sort of pendulum is that when plays like Calgary where 87 00:04:55,839 --> 00:04:58,159 Speaker 1: they're meeting now, where I'm now and which is the 88 00:04:58,200 --> 00:05:02,200 Speaker 1: oil capital of Canada, when things are down here, manufacturing 89 00:05:02,240 --> 00:05:05,159 Speaker 1: picks up the flack that right hasn't really happened, and 90 00:05:05,240 --> 00:05:07,560 Speaker 1: so they're hoping that maybe a lower dollar one day 91 00:05:07,600 --> 00:05:10,040 Speaker 1: might chool that. Thank you very much for joining us, 92 00:05:10,120 --> 00:05:14,240 Speaker 1: josh One Grove. He is our Canadian politics reporter joining 93 00:05:14,320 --> 00:05:17,440 Speaker 1: us from Calgary side of a two day meeting with 94 00:05:17,680 --> 00:05:34,560 Speaker 1: Justin Trudeau and his Liberal cabinet. McDonald's. McDonald's reported its 95 00:05:34,560 --> 00:05:38,440 Speaker 1: earnings that exceeded analyst estimates. However, this stock is down 96 00:05:38,440 --> 00:05:41,200 Speaker 1: about eight tens of a percent, perhaps because of concern 97 00:05:41,760 --> 00:05:45,960 Speaker 1: over US same store sales they fell one point three percent. 98 00:05:46,160 --> 00:05:49,159 Speaker 1: But here to tell us all the details, Mike Haylen, 99 00:05:49,360 --> 00:05:53,720 Speaker 1: senior restaurant analysts for Bloomberg Intelligence, and Mike I I 100 00:05:53,839 --> 00:05:57,120 Speaker 1: use that word but very carefully here because I read 101 00:05:57,160 --> 00:06:00,960 Speaker 1: your note this morning and you said, don't look at 102 00:06:01,000 --> 00:06:03,960 Speaker 1: this near term thing. They're lapping some comps from last 103 00:06:04,040 --> 00:06:07,120 Speaker 1: year with that All day breakfast. They got bigger problems, 104 00:06:07,160 --> 00:06:10,599 Speaker 1: don't they. Everyone has bigger problems, Yeah, which we we've 105 00:06:10,600 --> 00:06:14,640 Speaker 1: written about over the last week, UM, which is demographics. Right, 106 00:06:14,920 --> 00:06:19,240 Speaker 1: the American population is aging, and they're spending has probably 107 00:06:19,320 --> 00:06:23,800 Speaker 1: capped out. It's a very large generational cohort um in 108 00:06:23,880 --> 00:06:26,320 Speaker 1: terms of numbers. They have higher debts than retirees had 109 00:06:26,360 --> 00:06:29,640 Speaker 1: in the past. So yeah, those are that's the big problem. 110 00:06:30,000 --> 00:06:32,680 Speaker 1: In terms of their quarter. You know, there is some 111 00:06:32,720 --> 00:06:35,360 Speaker 1: concern about the same source sales in the US falling 112 00:06:35,440 --> 00:06:39,080 Speaker 1: one um, you know for the quarter. But that's actually 113 00:06:39,080 --> 00:06:41,520 Speaker 1: better than what the street had expected. And if you 114 00:06:41,560 --> 00:06:43,360 Speaker 1: do if you look at what we do is on 115 00:06:43,480 --> 00:06:45,440 Speaker 1: a two year and a three year trend to kind 116 00:06:45,440 --> 00:06:49,280 Speaker 1: of smooth out for weather and calendar shifts, UM and 117 00:06:49,520 --> 00:06:53,560 Speaker 1: large um market and all day breakfasts the more. Yeah, yeah, 118 00:06:53,560 --> 00:06:55,800 Speaker 1: All day breakfast, and there was a huge marketing push 119 00:06:55,839 --> 00:06:57,560 Speaker 1: behind it last year. But so when you look at 120 00:06:57,600 --> 00:07:00,120 Speaker 1: a two year and a three year trend, sale are 121 00:07:00,160 --> 00:07:04,720 Speaker 1: actually accelerating. So um, you know, with with the um 122 00:07:04,960 --> 00:07:07,719 Speaker 1: better margins that you're seeing because of their story franchising, 123 00:07:08,360 --> 00:07:11,560 Speaker 1: you know, the story hasn't changed here. So globally, it's 124 00:07:11,560 --> 00:07:17,040 Speaker 1: sales accelerated. Where specifically did their sales increase the most? Yeah, 125 00:07:17,080 --> 00:07:21,200 Speaker 1: they they they were successful in China, Japan and the 126 00:07:21,280 --> 00:07:23,560 Speaker 1: UK were three of the mortkets that they had mentioned 127 00:07:23,800 --> 00:07:25,840 Speaker 1: as being strong for them. And and is it just 128 00:07:25,920 --> 00:07:29,160 Speaker 1: because there wasn't as much penetration in those markets before 129 00:07:29,160 --> 00:07:32,000 Speaker 1: and they're expanding, Well, the same story of sales numbers 130 00:07:32,080 --> 00:07:35,960 Speaker 1: come from existing store so um, you know, it could 131 00:07:35,960 --> 00:07:39,240 Speaker 1: possibly being be that some of the franchisees you know 132 00:07:39,320 --> 00:07:42,680 Speaker 1: do the refranchising over the last couple of years are um, 133 00:07:42,760 --> 00:07:46,240 Speaker 1: you know, are are being successful in terms of running 134 00:07:46,240 --> 00:07:50,280 Speaker 1: better stores. Um there's some um you know, there's still 135 00:07:50,720 --> 00:07:53,240 Speaker 1: um you know, doing better in Asia where there was 136 00:07:53,280 --> 00:07:55,920 Speaker 1: some some supply chain issues with chicken and stuff like that. 137 00:07:55,960 --> 00:07:59,040 Speaker 1: So you're you're comping over some of those issues of 138 00:08:00,000 --> 00:08:02,480 Speaker 1: the last couple of years. So um that all helps. 139 00:08:02,840 --> 00:08:05,360 Speaker 1: We you and I were trading some emails Earlier this morning, 140 00:08:05,400 --> 00:08:09,720 Speaker 1: Mike and I kind of joked about the automat. Why 141 00:08:09,880 --> 00:08:14,119 Speaker 1: is the automat such an apt reference point for people 142 00:08:14,120 --> 00:08:16,160 Speaker 1: that don't know you explain, Yeah, well you taught me 143 00:08:16,200 --> 00:08:19,080 Speaker 1: about the automat. It was a restaurant concept in New 144 00:08:19,160 --> 00:08:21,840 Speaker 1: York City from decades ago where you would kind of 145 00:08:21,880 --> 00:08:24,600 Speaker 1: place an order and it would just magically appear and 146 00:08:24,720 --> 00:08:26,960 Speaker 1: you put your you put you'd put actual coins when 147 00:08:27,000 --> 00:08:29,400 Speaker 1: coins could actually buy something. Was like little windows, like 148 00:08:29,440 --> 00:08:31,720 Speaker 1: those little post office you know, where the mail would 149 00:08:31,760 --> 00:08:33,560 Speaker 1: come in and you would put in your coin and 150 00:08:33,600 --> 00:08:35,120 Speaker 1: you would be able to take out a piece of 151 00:08:35,120 --> 00:08:38,040 Speaker 1: pie or whatever, you know, with on a plate. But 152 00:08:38,120 --> 00:08:40,560 Speaker 1: the reason that's that's relevant is because that is a 153 00:08:40,679 --> 00:08:43,520 Speaker 1: similar concept in a way to what McDonald's is doing. 154 00:08:43,559 --> 00:08:46,400 Speaker 1: Explain that the automat was ahead of its time. So yeah, 155 00:08:46,480 --> 00:08:50,640 Speaker 1: with technology is where a lot of these restaurant chains 156 00:08:50,679 --> 00:08:55,400 Speaker 1: are moving to kind of help boost their sales. Right. Um, 157 00:08:55,440 --> 00:08:58,640 Speaker 1: you know, for McDonald's it's a self order kiosks. Millennials 158 00:08:58,640 --> 00:09:00,840 Speaker 1: don't want to take their ear pods out and talk 159 00:09:00,880 --> 00:09:03,240 Speaker 1: to anyone, you know, they'd rather just go to the kiosk, 160 00:09:03,960 --> 00:09:06,600 Speaker 1: you know, you know, hit a few buttons and how 161 00:09:06,640 --> 00:09:09,080 Speaker 1: their food brought out to them. So this is a 162 00:09:09,080 --> 00:09:12,440 Speaker 1: big push for McDonald's. UM. Wendy's is another one that 163 00:09:12,440 --> 00:09:14,760 Speaker 1: that is because it cuts labor costs to right and 164 00:09:14,800 --> 00:09:18,600 Speaker 1: also speeds of efficiency. We don't see automats today. How 165 00:09:18,600 --> 00:09:23,079 Speaker 1: effective have these kiosks been, Well, they've been very successful 166 00:09:23,080 --> 00:09:26,040 Speaker 1: in Europe from McDonald's Frances. What about in the US. Well, 167 00:09:26,080 --> 00:09:30,040 Speaker 1: the US we've been slow to adopt, right, So labor 168 00:09:30,360 --> 00:09:32,640 Speaker 1: is much higher as a much higher cost in Europe. 169 00:09:32,640 --> 00:09:35,720 Speaker 1: So that's why you've seen them push it um there 170 00:09:35,760 --> 00:09:40,040 Speaker 1: before here, um, but now with minimum wage rates rising 171 00:09:40,040 --> 00:09:42,319 Speaker 1: over the last handful of years, you know, labor is 172 00:09:42,360 --> 00:09:44,840 Speaker 1: a bigger cost, so there's more of an incentive. There's 173 00:09:44,840 --> 00:09:47,559 Speaker 1: a better r o I on these kiosks, so that's 174 00:09:47,559 --> 00:09:50,679 Speaker 1: why you're seeing chains move that way. Um. Well, this 175 00:09:50,880 --> 00:09:53,360 Speaker 1: doesn't even have to use the kiosk. You could just 176 00:09:53,520 --> 00:09:56,320 Speaker 1: use a mobile app, go in and pick it up, right. 177 00:09:56,520 --> 00:09:59,240 Speaker 1: I mean that's also one of these days there's lines 178 00:09:59,280 --> 00:10:00,920 Speaker 1: are are going to be a thing of the past. 179 00:10:00,960 --> 00:10:03,440 Speaker 1: You're just gonna walk in and your food is gonna 180 00:10:03,440 --> 00:10:05,760 Speaker 1: be waiting for you. So um. You know, we also 181 00:10:05,840 --> 00:10:08,600 Speaker 1: have these um you know alerts. You know a lot 182 00:10:08,600 --> 00:10:10,319 Speaker 1: of these apps have alerts. They know when you pull 183 00:10:10,360 --> 00:10:13,440 Speaker 1: into the drive through and they'll have your they'll they'll 184 00:10:13,480 --> 00:10:16,560 Speaker 1: start cooking your order as you drive onto the problems, 185 00:10:16,600 --> 00:10:19,079 Speaker 1: they'll check your previously. Just open your mouth and they 186 00:10:19,160 --> 00:10:21,199 Speaker 1: throw in an egg McMuffin and you're done right. But 187 00:10:21,240 --> 00:10:23,520 Speaker 1: they're gonna offer maybe for just for a little bit more. 188 00:10:23,520 --> 00:10:26,080 Speaker 1: They will offer it to have someone I have breakfast 189 00:10:26,120 --> 00:10:28,000 Speaker 1: with you. But oh yeah, and and take a napkin 190 00:10:28,040 --> 00:10:29,840 Speaker 1: and wipe your face if it gets messy. What about 191 00:10:29,840 --> 00:10:32,520 Speaker 1: other places? What about for example, are they taking a 192 00:10:32,559 --> 00:10:35,800 Speaker 1: similar que and coming up with sort of self ordering kiosks. 193 00:10:36,640 --> 00:10:40,439 Speaker 1: They're not moving towards kiosks just yet. They're they're more, um, 194 00:10:40,520 --> 00:10:42,640 Speaker 1: they're more concerned with the app. And the big thing was, 195 00:10:42,840 --> 00:10:44,760 Speaker 1: you know, they have the high class problem of long 196 00:10:44,840 --> 00:10:47,240 Speaker 1: lunch lines. So a big part of that is going 197 00:10:47,320 --> 00:10:50,160 Speaker 1: to be the order ahead, and they're developing a second 198 00:10:50,200 --> 00:10:54,400 Speaker 1: make line um that that funnels these electronic orders and 199 00:10:54,679 --> 00:10:57,280 Speaker 1: get your food ready for you faster. So everyone's going 200 00:10:57,400 --> 00:11:00,280 Speaker 1: this way. I mean, there's gonna be varying degree of 201 00:11:00,320 --> 00:11:02,920 Speaker 1: success though we think that you know, McDonald's may have 202 00:11:02,920 --> 00:11:05,760 Speaker 1: a leg up because they have this technology already implemented 203 00:11:05,760 --> 00:11:08,880 Speaker 1: in Europe, so they already have a very large test 204 00:11:09,240 --> 00:11:11,640 Speaker 1: that's gone well, so they have an advantage over somebody 205 00:11:11,640 --> 00:11:14,000 Speaker 1: like Chipotle who hasn't done it before. Michael Hale and 206 00:11:14,080 --> 00:11:17,720 Speaker 1: consumer analyst from Bloomberg Intelligence, Thank you so much. I 207 00:11:17,760 --> 00:11:20,400 Speaker 1: am wondering whether we're ever going to have a day 208 00:11:20,440 --> 00:11:24,520 Speaker 1: when it's just immediate gratification. We have fast gratification, but 209 00:11:24,600 --> 00:11:40,040 Speaker 1: this is a whole new level, pimp Fox. Let's turn 210 00:11:40,040 --> 00:11:42,480 Speaker 1: our attention now to the world of the middle market 211 00:11:42,600 --> 00:11:47,480 Speaker 1: with Lawrence Gallub. He is the chief executive of Gallub Capital. Lawrence, 212 00:11:47,480 --> 00:11:49,640 Speaker 1: thanks for being with us here in the studio. Maybe 213 00:11:49,679 --> 00:11:52,959 Speaker 1: just defined for us what is middle market and then 214 00:11:53,000 --> 00:11:56,760 Speaker 1: you just in the same context, the information that you 215 00:11:56,920 --> 00:11:59,680 Speaker 1: glean from your clients you turn into an index that 216 00:11:59,760 --> 00:12:03,000 Speaker 1: may can reveal something about the economy. Tell us more. 217 00:12:03,440 --> 00:12:06,280 Speaker 1: The u S middle market refers to companies that have 218 00:12:06,559 --> 00:12:09,440 Speaker 1: between about ten million dollars a year profit up to 219 00:12:09,600 --> 00:12:12,079 Speaker 1: a few hundred million dollars a year. Profits generally smaller 220 00:12:12,080 --> 00:12:15,000 Speaker 1: than what Wall Street or the public markets would pay 221 00:12:15,040 --> 00:12:18,199 Speaker 1: attention to, but it accounts for one third of US GDP, 222 00:12:18,760 --> 00:12:22,200 Speaker 1: almost a three trillion dollar market, accounts for more than 223 00:12:22,280 --> 00:12:25,000 Speaker 1: half of job growth in the United States. Gallup Capital 224 00:12:25,080 --> 00:12:27,319 Speaker 1: is a lender to U S middle market companies, where 225 00:12:27,360 --> 00:12:30,120 Speaker 1: the largest non bank lender in the United States, and 226 00:12:30,240 --> 00:12:33,000 Speaker 1: we have a portfolio of about two hundred different companies 227 00:12:33,040 --> 00:12:36,880 Speaker 1: that we lend to, and we've created an index with 228 00:12:37,160 --> 00:12:39,760 Speaker 1: at Altman, a professor at n y U, to track 229 00:12:39,880 --> 00:12:43,720 Speaker 1: the performance the actual performance of US middle market companies 230 00:12:43,760 --> 00:12:46,000 Speaker 1: based on actual results from the first two months of 231 00:12:46,040 --> 00:12:49,439 Speaker 1: each calendar quarter, so we can share that information with 232 00:12:49,600 --> 00:12:52,640 Speaker 1: the market before earning season really kicks off for public companies. 233 00:12:52,840 --> 00:12:56,040 Speaker 1: So what are what indications are getting from this index? Well, 234 00:12:56,120 --> 00:12:58,600 Speaker 1: this quarter profits are a little bit weak. Profits are 235 00:12:58,600 --> 00:13:02,559 Speaker 1: actually down median profits are down about two and the 236 00:13:02,840 --> 00:13:07,079 Speaker 1: that weakness is coming from two segments, in particular, restaurants 237 00:13:07,440 --> 00:13:12,079 Speaker 1: and healthcare services. That's really interesting to me because a 238 00:13:12,120 --> 00:13:15,000 Speaker 1: lot of people have talked about how the economy is 239 00:13:15,040 --> 00:13:18,080 Speaker 1: starting to accelerate and there's a clear belief in sort 240 00:13:18,120 --> 00:13:20,319 Speaker 1: of the reflation of the economy. Could it be that 241 00:13:20,760 --> 00:13:25,240 Speaker 1: the weakness in these smaller companies is idiosyncratic and separate 242 00:13:25,640 --> 00:13:27,920 Speaker 1: um or does it sort of bode poorly for some 243 00:13:28,000 --> 00:13:30,439 Speaker 1: of the bigger companies. Will keep in mind that we 244 00:13:30,640 --> 00:13:33,040 Speaker 1: only cover about half the industries in the United States 245 00:13:33,080 --> 00:13:35,760 Speaker 1: with our lending, so we generally don't lend to energy 246 00:13:35,840 --> 00:13:40,480 Speaker 1: related or commodity related or big bulk manufacturing businesses. And 247 00:13:40,600 --> 00:13:42,400 Speaker 1: you need to look at its sector by sector to 248 00:13:42,440 --> 00:13:45,040 Speaker 1: see the trends. Industrial company the US are actually doing 249 00:13:45,120 --> 00:13:47,599 Speaker 1: pretty well. Profits are up, very consistent with g S 250 00:13:47,640 --> 00:13:51,800 Speaker 1: earnings announcement that revenues were flatish but profits were up. 251 00:13:52,000 --> 00:13:54,800 Speaker 1: I think we are dealing in the restaurant sector with 252 00:13:54,960 --> 00:13:58,080 Speaker 1: a particular set of circumstances that's different from the rest 253 00:13:58,120 --> 00:14:01,400 Speaker 1: of consumer products. There's really an overcapacity issue and a 254 00:14:01,480 --> 00:14:05,080 Speaker 1: demand shortfall that's causing counts at restaurants to fall from 255 00:14:05,120 --> 00:14:08,720 Speaker 1: where they've been historically. One thing that I find fascinating 256 00:14:08,840 --> 00:14:11,160 Speaker 1: right now is the growing number of pension funds and 257 00:14:11,240 --> 00:14:14,400 Speaker 1: other large investors who are trying to get into private 258 00:14:14,440 --> 00:14:18,920 Speaker 1: credit strategies and who are going into middle markets. I'm wondering, 259 00:14:19,000 --> 00:14:22,000 Speaker 1: from a competitive standpoint, do you think that valuations are 260 00:14:22,040 --> 00:14:25,440 Speaker 1: getting uh particularly high or that the amount of money 261 00:14:25,480 --> 00:14:27,760 Speaker 1: that you're seeing is particularly notable. Well, you can look 262 00:14:27,800 --> 00:14:30,360 Speaker 1: at that in two ways. You can look at purchase 263 00:14:30,480 --> 00:14:33,280 Speaker 1: multiples by private equity firms of middle market companies and 264 00:14:33,520 --> 00:14:37,080 Speaker 1: and LBO firms are paying very high multiples for growth. 265 00:14:37,320 --> 00:14:40,840 Speaker 1: You're seeing double digit multiples for medium sized companies based 266 00:14:40,920 --> 00:14:43,440 Speaker 1: on the ability or the expectation that eb t A 267 00:14:43,520 --> 00:14:45,440 Speaker 1: is going to grow through. Add on acquisitions that are 268 00:14:45,560 --> 00:14:48,840 Speaker 1: creative because they're at lower multiples, or organic growth or 269 00:14:49,240 --> 00:14:52,960 Speaker 1: green fields. On the credit side, you know, we are 270 00:14:53,000 --> 00:14:56,280 Speaker 1: seeing pension funds and insurance companies and some sovereign wealth 271 00:14:56,320 --> 00:14:58,360 Speaker 1: funds looking to deploy more money in a very low 272 00:14:58,480 --> 00:15:02,800 Speaker 1: interest rate environment, and capital is relatively debt capitals relatively 273 00:15:02,920 --> 00:15:06,560 Speaker 1: plentiful for good borrowers that are backed by good private 274 00:15:06,600 --> 00:15:09,960 Speaker 1: equity firms. I just want to bring to your attention 275 00:15:10,160 --> 00:15:14,480 Speaker 1: at Bloomberg headline that Etna's humanity takeover has been blocked 276 00:15:14,640 --> 00:15:18,400 Speaker 1: by a judge as anti competitive, and the shares of 277 00:15:18,560 --> 00:15:21,720 Speaker 1: Etna are down about one and a quarter per cent. 278 00:15:22,000 --> 00:15:24,160 Speaker 1: And we'll give you more details as we get it, 279 00:15:24,200 --> 00:15:27,240 Speaker 1: but right now, Etna's Humanity takeover blocked by a judge 280 00:15:27,840 --> 00:15:32,560 Speaker 1: as anti competitive. You know, Laurence in the middle market, 281 00:15:32,720 --> 00:15:37,480 Speaker 1: you mentioned you're a non bank lender. UH, can you 282 00:15:37,640 --> 00:15:40,680 Speaker 1: give us. Since you're not in the banking industry, do 283 00:15:40,760 --> 00:15:44,840 Speaker 1: you see that banks are walking away from the middle market. 284 00:15:44,920 --> 00:15:48,200 Speaker 1: That was an accusation that I remember hearing all through 285 00:15:48,280 --> 00:15:51,280 Speaker 1: the rebuild after two thousand and eight, that there was 286 00:15:51,400 --> 00:15:55,040 Speaker 1: no bank money coming into small and middle market companies. 287 00:15:55,240 --> 00:15:59,040 Speaker 1: So if you look at healthy borrowers, because banks don't 288 00:15:59,040 --> 00:16:01,120 Speaker 1: want to lend to unhealthy borrowers in any field, we 289 00:16:01,120 --> 00:16:03,720 Speaker 1: look at healthy borrowers. Most of the change happened before 290 00:16:03,760 --> 00:16:07,880 Speaker 1: the financial crisis. The percentage of capital lending to middle 291 00:16:07,920 --> 00:16:10,840 Speaker 1: market companies was coming from banks dropped to only about 292 00:16:12,040 --> 00:16:15,680 Speaker 1: by two thousand and four, well before the credit crisis, 293 00:16:15,800 --> 00:16:19,080 Speaker 1: Dodd Frank. So we're not seeing any real change. I 294 00:16:19,360 --> 00:16:21,840 Speaker 1: think it is accurate to say that banks don't lend 295 00:16:22,240 --> 00:16:24,400 Speaker 1: to middle market companies as much as they did a 296 00:16:24,480 --> 00:16:27,320 Speaker 1: decade or two ago. But but that's really based on 297 00:16:28,120 --> 00:16:31,040 Speaker 1: the banks and ability to make money from that as lenders. 298 00:16:31,840 --> 00:16:35,400 Speaker 1: What about from the demand side, from the borrowers standpoint. 299 00:16:35,440 --> 00:16:37,320 Speaker 1: I know for a while people were saying, you know, 300 00:16:37,640 --> 00:16:41,920 Speaker 1: there's plenty of lenders, lenders, willing lenders, but the companies 301 00:16:41,960 --> 00:16:45,520 Speaker 1: don't really want to borrow. Has that changed? I think 302 00:16:45,560 --> 00:16:50,200 Speaker 1: that growth buyouts. Companies that are making it on acquisitions 303 00:16:50,240 --> 00:16:52,440 Speaker 1: expanding want to borrow a lot. Can you give us 304 00:16:52,480 --> 00:16:56,680 Speaker 1: some examples. Well, we're we're lender to a few companies 305 00:16:56,760 --> 00:17:00,440 Speaker 1: that are consolidating the veterinary care industry, and to us, 306 00:17:00,520 --> 00:17:04,040 Speaker 1: that's a consumer product, not a healthcare product. And these 307 00:17:04,119 --> 00:17:07,440 Speaker 1: these businesses are acquiring mom and pop venary clinics or 308 00:17:07,520 --> 00:17:12,040 Speaker 1: venrary hospitals, doing fifty add on acquisitions a year, and 309 00:17:12,160 --> 00:17:15,159 Speaker 1: so they do seek additional capital. We sometimes structure that 310 00:17:15,520 --> 00:17:17,720 Speaker 1: as a delayed draw term loan, so it's committed capital. 311 00:17:17,760 --> 00:17:21,000 Speaker 1: Other times it's through upsizes. We often have this debate 312 00:17:21,040 --> 00:17:24,600 Speaker 1: about increasing revenue but at the expense of profits or 313 00:17:24,760 --> 00:17:28,440 Speaker 1: vice versa, that margins have been compressed. Are you seeing 314 00:17:28,480 --> 00:17:30,480 Speaker 1: that in middle markets? We definitely are seeing that in 315 00:17:30,600 --> 00:17:33,920 Speaker 1: healthcare services. It's interesting you talked about the the ETNA headline. 316 00:17:34,080 --> 00:17:38,840 Speaker 1: The compression of reimbursement rates in healthcare has caused margin compression. 317 00:17:38,880 --> 00:17:42,000 Speaker 1: I think we have not seen in healthcare services companies 318 00:17:42,040 --> 00:17:45,719 Speaker 1: the ability to take advantage of operating leverage. Volumes are up, 319 00:17:45,920 --> 00:17:49,320 Speaker 1: procedures are up, but costs are up and and margins 320 00:17:49,359 --> 00:17:51,560 Speaker 1: are not going up. It's really the opposite of what 321 00:17:51,600 --> 00:17:53,480 Speaker 1: we're seeing in the restaurant area, where the problem is 322 00:17:53,600 --> 00:17:56,480 Speaker 1: counts not being up more than anything else. So people 323 00:17:56,720 --> 00:17:59,720 Speaker 1: have sort of referred to the cliche of a credit 324 00:18:00,080 --> 00:18:03,240 Speaker 1: iCal in terms of baseball innings one through nine. If 325 00:18:03,440 --> 00:18:05,160 Speaker 1: that were the case, can you give us a sense 326 00:18:05,240 --> 00:18:08,160 Speaker 1: of where we are in the middle market cycle From 327 00:18:08,200 --> 00:18:10,800 Speaker 1: a lender's point of view, two percent growth is great? 328 00:18:11,080 --> 00:18:14,760 Speaker 1: Two percent growth lets us keep our credit losses low. Uh. 329 00:18:14,920 --> 00:18:18,520 Speaker 1: Two percent growth gives huge margin for safety. Everything we're 330 00:18:18,560 --> 00:18:23,240 Speaker 1: seeing in our portfolio is consistent with the economy continuing 331 00:18:23,280 --> 00:18:25,400 Speaker 1: to grow at a steady level. Not a level that's 332 00:18:25,400 --> 00:18:27,680 Speaker 1: going to make Washington happy, not a level that's going 333 00:18:27,760 --> 00:18:32,680 Speaker 1: to boost wages dramatically. But everything we see in the 334 00:18:32,760 --> 00:18:36,160 Speaker 1: credit cycle shows going in a continuing, very stable way. 335 00:18:36,320 --> 00:18:38,119 Speaker 1: Do you think it would be dangerous for your company 336 00:18:38,160 --> 00:18:42,840 Speaker 1: as if growth did get to four, well, if inflation 337 00:18:42,960 --> 00:18:46,120 Speaker 1: picks up, there are some risks because if inflation picks 338 00:18:46,200 --> 00:18:48,399 Speaker 1: up an interest rates go up. Just the absent level 339 00:18:48,440 --> 00:18:50,960 Speaker 1: of interest rates takes away some of the cushion. We 340 00:18:51,080 --> 00:18:56,720 Speaker 1: also would worry about a diversion disparity of weak performers 341 00:18:56,840 --> 00:19:00,080 Speaker 1: versus strong performers in the portfolio, because any lender is 342 00:19:00,119 --> 00:19:03,320 Speaker 1: his money from their weak performers, not from their average performer. 343 00:19:03,600 --> 00:19:05,920 Speaker 1: Lawrence Gollub, thank you so much for joining us. Lawrence Galob, 344 00:19:06,119 --> 00:19:10,320 Speaker 1: CEO of Gollub Capital with twenty billion dollars under management. Uh, 345 00:19:10,440 --> 00:19:13,560 Speaker 1: talking about the middle market and how there might be 346 00:19:13,800 --> 00:19:17,399 Speaker 1: some weakness but in general, UH, fairly studied growth at 347 00:19:17,480 --> 00:19:33,680 Speaker 1: least among the winners. I want to bring in Jennifer Jacobs. 348 00:19:33,760 --> 00:19:37,520 Speaker 1: She is a Bloomberg politics reporter here, Uh, to give 349 00:19:37,600 --> 00:19:40,280 Speaker 1: us a little bit more color from what happened this morning. 350 00:19:40,400 --> 00:19:45,720 Speaker 1: President Trump met with a round table of business executives 351 00:19:45,760 --> 00:19:50,120 Speaker 1: and pledged to cut regulation by more than seventy five percent, 352 00:19:50,840 --> 00:19:56,280 Speaker 1: as well as to drastically slash taxes and uh potentially 353 00:19:56,840 --> 00:20:00,520 Speaker 1: tax if I have a border tax. Jennifer, what's the 354 00:20:00,600 --> 00:20:03,639 Speaker 1: headline for you? Yeah, that's exactly it. He's got these 355 00:20:03,680 --> 00:20:06,600 Speaker 1: big plans for a border tax. He's saying he's going 356 00:20:06,640 --> 00:20:09,840 Speaker 1: to dramatically cut taxes. There was a lot of different 357 00:20:09,840 --> 00:20:13,560 Speaker 1: business officials there. We had everyone from Dell Technologies, Whirlpool, 358 00:20:13,680 --> 00:20:17,600 Speaker 1: Ford Motor Company, Johnson and Johnson del Chemical, etcetera. So 359 00:20:18,119 --> 00:20:23,640 Speaker 1: the Trump mission today is to really accentuate jobs, US investment, 360 00:20:24,000 --> 00:20:26,880 Speaker 1: and so they're steering things away from all the controversy 361 00:20:26,920 --> 00:20:29,280 Speaker 1: over the weekend over crowd sizes in John Spicer's press 362 00:20:29,280 --> 00:20:32,000 Speaker 1: conference and moving things back to jobs in in economy, 363 00:20:32,000 --> 00:20:33,399 Speaker 1: and so that is their message of the day and 364 00:20:33,440 --> 00:20:36,760 Speaker 1: they're trying to stay very focused on that. Jennifer, is 365 00:20:36,800 --> 00:20:39,159 Speaker 1: there any way that you can describe for us the 366 00:20:39,400 --> 00:20:42,560 Speaker 1: change that you have experienced so far in covering the 367 00:20:42,640 --> 00:20:47,040 Speaker 1: Trump administration compared to UH covering the Obama administration, just 368 00:20:47,160 --> 00:20:50,440 Speaker 1: in terms of organization and details, Because I know that 369 00:20:50,520 --> 00:20:54,400 Speaker 1: there's a one thirty press briefing schedule for today. Yeah, exactly. 370 00:20:54,560 --> 00:20:58,160 Speaker 1: That'll be Sean Spicer's the first official press briefing where 371 00:20:58,200 --> 00:21:00,919 Speaker 1: he takes questions. Of course, the one over the weekend 372 00:21:01,040 --> 00:21:03,720 Speaker 1: was just a statement. He did not take questions. They're 373 00:21:03,800 --> 00:21:06,320 Speaker 1: getting their feet under them. One of the aposts joking 374 00:21:06,320 --> 00:21:08,640 Speaker 1: to me that he's just finding the bathroom where they're 375 00:21:08,840 --> 00:21:11,680 Speaker 1: now logged into the system and have their White House 376 00:21:11,760 --> 00:21:15,520 Speaker 1: email addresses. UM, And they're very much, you know, getting 377 00:21:15,640 --> 00:21:18,080 Speaker 1: organized and doing things more along the lines of how 378 00:21:18,119 --> 00:21:21,199 Speaker 1: the Modument administration was doing it before. So things were 379 00:21:21,240 --> 00:21:22,840 Speaker 1: a little bit rocky over the weekend. But you know, 380 00:21:22,880 --> 00:21:24,400 Speaker 1: we give them a little bit of wicker rooms since 381 00:21:24,440 --> 00:21:27,080 Speaker 1: they were brand new. Um, but if from the press 382 00:21:27,119 --> 00:21:29,720 Speaker 1: point of view, they are beginning to mimic what the 383 00:21:29,800 --> 00:21:31,840 Speaker 1: Obama team did, and it seems to be going much 384 00:21:31,880 --> 00:21:36,000 Speaker 1: more smoothly, Jennifer, Are relations between the press and President 385 00:21:36,080 --> 00:21:40,040 Speaker 1: Trump's team as bad as they seem just on the surface? 386 00:21:40,240 --> 00:21:44,160 Speaker 1: Over the weekend, the news was about alternative fact. Kelly 387 00:21:44,200 --> 00:21:50,040 Speaker 1: and Conway responded to a television hosts question about Sean 388 00:21:50,119 --> 00:21:55,560 Speaker 1: Spicer and his claims about a record inaugural attendance, and 389 00:21:55,680 --> 00:21:57,840 Speaker 1: she said, well, he presented alternative facts. I mean, does 390 00:21:57,880 --> 00:22:00,359 Speaker 1: this this this highlight sort of a neat deer of 391 00:22:00,440 --> 00:22:04,280 Speaker 1: a relationship between the press. Well, we are always worried 392 00:22:04,320 --> 00:22:08,680 Speaker 1: about tensions between the Trump team and the press, but 393 00:22:09,160 --> 00:22:13,000 Speaker 1: Bloomberg's relationship with their aids is very, very good. I 394 00:22:13,119 --> 00:22:15,320 Speaker 1: think we do have a sense of trust with them. 395 00:22:15,600 --> 00:22:17,960 Speaker 1: They appreciate Bloomberg and think we do a lot of good, 396 00:22:18,000 --> 00:22:20,639 Speaker 1: fair reporting, So I'm not worried about it from that perspective. 397 00:22:21,040 --> 00:22:25,320 Speaker 1: Just the overarching relationship sometimes does concern me. But you know, 398 00:22:25,560 --> 00:22:28,479 Speaker 1: Sean Spicer, not to defend him, but just to kind 399 00:22:28,480 --> 00:22:31,040 Speaker 1: of give some context there. He has a boss who 400 00:22:31,200 --> 00:22:34,920 Speaker 1: is very, very concerned about crowd size. From the earliest 401 00:22:35,000 --> 00:22:37,960 Speaker 1: days of Trump's campaign, even before he had officially declared 402 00:22:37,960 --> 00:22:40,360 Speaker 1: he was running for president, he would get very annoyed 403 00:22:40,400 --> 00:22:44,000 Speaker 1: with the press, who he thought was underestimating his crowd sizes, 404 00:22:44,240 --> 00:22:47,879 Speaker 1: including me. I've been the I guess, the subject of 405 00:22:48,080 --> 00:22:51,840 Speaker 1: some of his rants about underestimating crowd sizes, and so 406 00:22:52,040 --> 00:22:54,600 Speaker 1: I'm and so this was huge for Trump too. He 407 00:22:54,680 --> 00:22:56,159 Speaker 1: wanted to be able to come out saying that he 408 00:22:56,240 --> 00:22:58,200 Speaker 1: has this mandate from the people, that he had a 409 00:22:58,320 --> 00:23:01,320 Speaker 1: bigger crowd than ever. And so I'm certain that Sean 410 00:23:01,359 --> 00:23:04,320 Speaker 1: Spicer was doing what the president wished, which was to 411 00:23:04,400 --> 00:23:06,320 Speaker 1: go out there and say this was the largest crowd 412 00:23:06,359 --> 00:23:08,320 Speaker 1: that anyone had ever witnessed. And then Sean was very 413 00:23:08,359 --> 00:23:11,720 Speaker 1: careful to couch that and say around the globe. And 414 00:23:11,840 --> 00:23:15,040 Speaker 1: that's a very difficult thing to defend or deny. How 415 00:23:15,080 --> 00:23:17,280 Speaker 1: do we know how many people were witnessing that around 416 00:23:17,280 --> 00:23:20,280 Speaker 1: the globe? And wasn't more than for President Obama? Who knows, 417 00:23:20,760 --> 00:23:22,880 Speaker 1: But either way, I just happen to know that that's 418 00:23:22,920 --> 00:23:24,879 Speaker 1: something and we all know that that's something that President 419 00:23:24,880 --> 00:23:27,159 Speaker 1: Trump is very sensitive about He always wants to have 420 00:23:27,200 --> 00:23:29,400 Speaker 1: the biggest crowds, and he always wants to to really 421 00:23:29,440 --> 00:23:32,960 Speaker 1: push that, and he thinks that any attempt to minimize 422 00:23:33,000 --> 00:23:37,120 Speaker 1: his crowd is is the media delegitimizing him. Jennifer, this afternoon, 423 00:23:37,160 --> 00:23:41,919 Speaker 1: I understand that President Trump will be meeting with labor leaders. Uh. 424 00:23:42,080 --> 00:23:44,000 Speaker 1: We were gonna speak little later on the program about 425 00:23:44,080 --> 00:23:47,280 Speaker 1: McDonald's app raises, the issue of the minimum wage, federal 426 00:23:47,359 --> 00:23:49,320 Speaker 1: minimum wage, and so on. I'm wondering if you have 427 00:23:49,400 --> 00:23:53,119 Speaker 1: any insight into what those discussions will be about, right. 428 00:23:53,240 --> 00:23:55,280 Speaker 1: I do not yet. I do know that they're very 429 00:23:55,359 --> 00:23:57,359 Speaker 1: interested in talking to those workers. They had told me 430 00:23:57,480 --> 00:23:59,399 Speaker 1: yesterday that this was going to be happening and that 431 00:23:59,480 --> 00:24:02,439 Speaker 1: they really wanted to hear It's a listening session. They 432 00:24:02,480 --> 00:24:04,520 Speaker 1: really want to hear from them, and they're going to 433 00:24:04,640 --> 00:24:06,679 Speaker 1: pay attention to what these workers have to say. That's 434 00:24:06,720 --> 00:24:09,119 Speaker 1: all I know so far, Jen, I you know, the 435 00:24:09,200 --> 00:24:12,040 Speaker 1: more that I hear some of the actions that President 436 00:24:12,119 --> 00:24:15,760 Speaker 1: Trump is taking today, I have to wonder what is 437 00:24:15,920 --> 00:24:19,440 Speaker 1: his relationship with the Republican leaders in House and Senate, 438 00:24:19,520 --> 00:24:22,200 Speaker 1: And have you gathered whether there is a sort of 439 00:24:22,320 --> 00:24:25,240 Speaker 1: closeness as far as working together to get some of 440 00:24:25,359 --> 00:24:30,840 Speaker 1: these provisions past, yeah, definitely. Right before the inauguration, some 441 00:24:31,000 --> 00:24:33,600 Speaker 1: of the key staffers for some of the leaders on 442 00:24:33,720 --> 00:24:37,680 Speaker 1: the Hill has told me legitimately their relationship is much better, 443 00:24:37,880 --> 00:24:41,280 Speaker 1: especially with Speaker Ryan and the Trump team. They legitimately 444 00:24:41,359 --> 00:24:44,119 Speaker 1: have a good report at this point. They're almost giddy 445 00:24:44,440 --> 00:24:46,400 Speaker 1: to be working together and to be getting things done. 446 00:24:46,680 --> 00:24:50,760 Speaker 1: But as far as that sharing of information, I'm not 447 00:24:50,840 --> 00:24:53,639 Speaker 1: so sure that that's happening quite yet, but partly because 448 00:24:53,800 --> 00:24:55,920 Speaker 1: the Trump team maybe doesn't have it all planned out. 449 00:24:56,240 --> 00:24:58,240 Speaker 1: I'm not sure if it's that, but because of what 450 00:24:58,359 --> 00:24:59,800 Speaker 1: I do ask the Trump team, you know, what are 451 00:24:59,800 --> 00:25:01,600 Speaker 1: your plans for executive orders? And what are you know? 452 00:25:01,720 --> 00:25:03,840 Speaker 1: What are you hoping to move first in Congress? And 453 00:25:03,920 --> 00:25:06,000 Speaker 1: they say, we really do have a plan where we 454 00:25:06,160 --> 00:25:10,080 Speaker 1: have more um of a plan than anyone would would 455 00:25:10,160 --> 00:25:13,879 Speaker 1: ever suspect. Trust us, We're ready. Don't don't under estimate 456 00:25:13,960 --> 00:25:15,840 Speaker 1: us like you guys did there in there in the campaign. 457 00:25:16,280 --> 00:25:20,280 Speaker 1: So information is trickingling out very slowly. It's very slowly 458 00:25:20,280 --> 00:25:22,480 Speaker 1: getting up to Congress. But I do think that their 459 00:25:22,480 --> 00:25:25,240 Speaker 1: relationship is very good right now. Can you toss the 460 00:25:25,880 --> 00:25:29,960 Speaker 1: status of nominations for the cabinet. UM. Yeah, that I 461 00:25:30,040 --> 00:25:32,359 Speaker 1: am not certain on um. I I do not have 462 00:25:32,400 --> 00:25:35,000 Speaker 1: an update for you on that. How about Theresa May 463 00:25:35,240 --> 00:25:39,960 Speaker 1: and the potential for a UK US trade pact, She's 464 00:25:39,960 --> 00:25:43,600 Speaker 1: getting to meet with the President on Friday, I believe correct, 465 00:25:43,720 --> 00:25:46,439 Speaker 1: and Bloomberg broke the news um that they are are 466 00:25:46,520 --> 00:25:49,960 Speaker 1: hoping to lay the groundwork this week on a trade 467 00:25:50,000 --> 00:25:52,359 Speaker 1: deal for between the US and the UK for after 468 00:25:52,560 --> 00:25:56,320 Speaker 1: the UK exits the European Union. I know from speaking 469 00:25:56,520 --> 00:26:00,399 Speaker 1: to my sources that they began meeting with Theresa May's staff, 470 00:26:00,520 --> 00:26:04,240 Speaker 1: her defense ministers and foreign ministers in December. They've been 471 00:26:04,280 --> 00:26:06,920 Speaker 1: meeting repeatedly with them. Um. They met with her two 472 00:26:07,000 --> 00:26:11,240 Speaker 1: chiefs of staff, and they've been having repeated conversations, continued conversations, 473 00:26:11,560 --> 00:26:14,040 Speaker 1: really stressing that relationship between the United States and the 474 00:26:14,160 --> 00:26:17,120 Speaker 1: UK and and this is really really important to them 475 00:26:17,160 --> 00:26:18,760 Speaker 1: to have her come over here. They want to start 476 00:26:18,760 --> 00:26:20,800 Speaker 1: building this and they think that they can get a 477 00:26:20,920 --> 00:26:23,880 Speaker 1: lot of good solid work done on getting a trade 478 00:26:23,880 --> 00:26:27,000 Speaker 1: agreement with the UK done this week. Thank you very 479 00:26:27,080 --> 00:26:31,280 Speaker 1: much for joining us. Jennifer Jacobs is our national political 480 00:26:31,560 --> 00:26:41,520 Speaker 1: reporter for Bloomberg. News. Thanks for listening to the Bloomberg 481 00:26:41,600 --> 00:26:44,359 Speaker 1: P and L podcast. You can subscribe and listen to 482 00:26:44,440 --> 00:26:49,639 Speaker 1: interviews at iTunes, SoundCloud, or whatever podcast platform you prefer. 483 00:26:49,960 --> 00:26:53,200 Speaker 1: I'm pim Fox. I'm out there on Twitter at pim Fox. 484 00:26:53,560 --> 00:26:56,240 Speaker 1: I'm out there on Twitter at Lisa Abramo. It's one 485 00:26:56,520 --> 00:26:59,240 Speaker 1: before the podcast. You can always attach us worldwide on 486 00:26:59,280 --> 00:27:00,000 Speaker 1: Bloomberg Radio