From a review of SEC filings, below are the Gold-Standard US GAAP Pretax Income (Loss) From Continuing Operations for the remaining 15 largest Virginia Companies in each of the four quarters of both 2019 and 2018.
US | US | US | US | US | US | US | US | ||||||||
GAAP | GAAP | GAAP | GAAP | GAAP | GAAP | GAAP | GAAP | ||||||||
Pretax | Pretax | Pretax | Pretax | Pretax | Pretax | Pretax | Pretax | ||||||||
Income | Income | Income | Income | Income | Income | Income | Income | ||||||||
(Loss) | (Loss) | (Loss) | (Loss) | (Loss) | (Loss) | (Loss) | (Loss) | ||||||||
Dec | Dec | Sept | Sept | June | June | March | March | ||||||||
Virginia Largest Companies | Virginia | Quarter | Quarter | Quarter | Quarter | Quarter | Quarter | Quarter | Quarter | ||||||
Market Caps Above $10 Bil | City HQs | 2019 | 2018 | 2019 | 2018 | 2019 | 2018 | 2019 | 2018 | ||||||
mils $ | mils $ | mils $ | mils $ | mils $ | mils $ | mils $ | mils $ | ||||||||
Capital One Financial | McLean | 1,448 | 1,243 | 1,704 | 1,921 | 2,003 | 2,492 | 1,719 | 1,662 | ||||||
Dominion Energy | Richmond | 1,273 | 757 | 1,036 | 1,145 | 101 | 566 | (563) | 661 | ||||||
General Dynamics | Reston | 1,214 | 1,132 | 1,090 | 1,023 | 983 | 970 | 915 | 960 | ||||||
Norfolk Southern | Norfolk | 828 | 930 | 868 | 908 | 934 | 924 | 861 | 707 | ||||||
Willis Towers Watson | Arlington | 675 | 477 | 100 | 36 | 187 | 74 | 360 | 264 | ||||||
Markel | Glen Allen | 641 | (930) | 262 | 519 | 650 | 361 | 733 | 43 | ||||||
Dollar Tree | Chesapeake | 317 | 340 | 228 | 338 | 344 | 207 | (2,194) | 692 | ||||||
NVR Inc | Reston | 295 | 277 | 267 | 250 | 245 | 242 | 219 | 191 | ||||||
CarMax | Richmond | 228 | 248 | 306 | 289 | 351 | 320 | 256 | 210 | ||||||
Verisign | Reston | 185 | 234 | 193 | 178 | 190 | 165 | 190 | 152 | ||||||
Huntington Ingalls Industries | Newport News | 172 | 219 | 198 | 295 | 164 | 262 | 149 | 195 | ||||||
AvalonBay Communities | Arlington | 166 | 385 | 291 | 192 | 168 | 255 | 170 | 142 | ||||||
Booz Allen Hamilton | McLean | 147 | 140 | 148 | 120 | 156 | 137 | 118 | 106 | ||||||
Northop Grumman | Falls Church | (569) | 403 | 1,055 | 1,364 | 1,028 | 976 | 1,034 | 999 | ||||||
Altria Group | Richmond | (1,223) | 1,710 | (2,128) | 2,608 | 2,601 | 2,557 | 1,516 | 2,466 | ||||||
Total all 15 Virginia Cos | 5,797 | 7,565 | 5,618 | 11,186 | 10,105 | 10,508 | 5,483 | 9,450 | |||||||
….. % Change From Prior Year Qtr | -23% | -50% | -4% | -42% | |||||||||||
Four Quarters Total Pretax Income | |||||||||||||||
….. 2019 | 27,003 | ||||||||||||||
….. 2018 | 38,709 | ||||||||||||||
………. % Decline | -30% |
Such disastrous earnings signal unhealthy future pay raises for the many already underpaid Virginia non-executive employees.
Virginia Company non-executive workers really have had the deck stacked against them for decades versus what is going on with the sky-high annual percentage pay and employee benefit raises of their Companies' Top-Tier Executives.
So which 2020 Democratic Presidential candidate could best help close this massive annual percentage pay raise gap between Virginia Company Top-Tier executives and their already massively underpaid, hardworking Virginia non-executive employees?
More than anything needed to solve this thorny problem is to possess exceptionally strong financial and data science skills, coupled with a keen understanding of how businesses operate. And you also must have a high degree of economic fairness.
More than anything needed to solve this thorny problem is to possess exceptionally strong financial and data science skills, coupled with a keen understanding of how businesses operate. And you also must have a high degree of economic fairness.
Joe Biden, Bernie Sanders, Elizabeth Warren and Amy Klobuchar all have little if any financial acumen, no data science understanding and little if any understanding of how businesses operate.
Further, all four of them worked for the US Government, particularly in the past ten years, when these comparative pay raise results of Top-Tier Executives and non-executive employees were so horrendous, not just in Virginia but also in every other US State.
On the positive side, all four of them have a high degree of economic fairness.
But he has no data science expertise.
Also and most important of all, Bloomberg has a low degree of economic fairness. In the many years he was accumulating his wealth of $60+ bil, US income inequality expanded dramatically in each year by leaps and bounds. So, like many US business tycoons with their sole fixation on maximization of Company profits, Bloomberg accumulated his massive wealth on the backs of the declining US middle class and the growing number of people dropped to the lower economic class. And by his punitively racial "Stop and Frisk" policy, many New York City people of color were physically thrown against the wall.
And while he was accumulating his massive amount of wealth, Bloomberg was against unions.
And while he was accumulating his massive amount of wealth, Bloomberg was against unions.
I think there is only one Democratic Presidential candidate who has the requisite financial acumen, data science skills, understanding of how business operate and economic fairness to help turn the tide around on this massive, continuing US income inequality expansion caused mainly by the massive gap in annual percentage pay raises between executive and non-executive employees ..... Pete Buttigieg.