Finished my investigation :very-smart:
numbers for smartypants
CSX Year,Millions of shares,Dividends per share,Total dividends,Buybacks,Total dividends & buybacks,Number of employees ,Per employee,Rate of exploitation 2021,2255,0.746666,1683731830,2886000000,4569731830,20900,218647.456,2.429416178 2020,2305,1.04,2397200000,867000000,3264200000,19300,169129.5337,1.879217041 2019,2395,0.96,2299200000,3373000000,5672200000,21000,270104.7619,3.001164021 2018,2583,0.88,2273040000,4671000000,6944040000,22500,308624,3.429155556 2017,2742,0.78,2138760000,1970000000,4108760000,24000,171198.3333,1.902203704 2016,2844,0.72,2047680000,1056000000,3103680000,27000,114951.1111,1.277234568 2015,2952,0.7,2066400000,804000000,2870400000,29000,98979.31034,1.099770115 2014,3006,0.63,1893780000,517000000,2410780000,32000,75336.875,0.837076389 2013,3057,0.59,1803630000,353000000,2156630000,31000,69568.70968,0.772985663 2012,3120,0.54,1684800000,734000000,2418800000,32000,75587.5,0.839861111
NSC Year,Millions of shares,Dividends per share,Total dividends,Buybacks,Total dividends & buybacks,Number of employees ,Per employee,Rate of exploitation 2021,248,4.16,1031680000,3373000000,4404680000,18100,243352.4862,2.703916513 2020,257,3.76,966320000,1370000000,2336320000,20156,115911.8873,1.287909859 2019,266,3.6,957600000,2072000000,3029600000,24587,123219.5876,1.369106529 2018,280,3.04,851200000,2741000000,3592200000,26662,134731.0779,1.497011977 2017,290,2.44,707600000,923000000,1630600000,27110,60147.54703,0.668306078 2016,296,2.36,698560000,746000000,1444560000,28044,51510.48353,0.572338706 2015,304,2.36,717440000,1063000000,1780440000,30456,58459.41686,0.649549076 2014,313,2.22,694860000,251000000,945860000,29482,32082.62669,0.35647363 2013,316,2.04,644640000,496000000,1140640000,30103,37891.24008,0.421013779 2012,325,2.06,669500000,1199000000,1868500000,30943,60385.22444,0.670946938
UP Year,Millions of shares,Dividends per share,Total dividends,Buybacks,Total dividends & buybacks,Number of employees ,Per employee,Rate of exploitation, 2021,655,2.25,1473750000,7291000000,8764750000,32124,272841.1779355,2.96566497755978, 2020,679,2.91,1975890000,3705000000,5680890000,30960,183491.279069767,1.99447042467139, 2019,706,3.7,2612200000,5804000000,8416200000,37483,224533.788650855,2.44058465924842, 2018,754,2.26,1704040000,8225000000,9929040000,41967,236591.607691758,2.57164790969302, 2017,802,2.48,1988960000,4013000000,6001960000,41992,142931.034482759,1.55359820089955, 2016,835,2.255,1882925000,3105000000,4987925000,42919,116217.176541858,1.2632301798028, 2015,869,2.2,1911800000,3465000000,5376800000,47457,113298.354299682,1.2315038510835, 2014,901,2.82,2540820000,3225000000,5765820000,47201,122154.615368318,1.32776755835129, 2013,932,2.96,2758720000,2218000000,4976720000,46445,107152.976639035,1.1647062678156, 2012,953,1.89,1801170000,1474000000,3275170000,45928,71310.9649886779,0.775119184659543,
Railroads are uniquely obvious due to obscene dividends and buybacks. Trying to figure out cashflow to something like bonds (sloshing around of productive economy into financial capital) between real inflation and bond yield is headache inducing. Executive pay i dont even know reasonable source of. This is just pure money burned, and its enough to cover 2-3x salary of typical worker. I couldn't find some table data for BNSF as well :sadness: only random press-releases
I know Cockshott (fuck him) and Cottrell did something similar in TaNS
These figures are derived from the 1983 National Income and Expenditure Blue Book published by the Central Statistical Office. The two columns show total wages and profits for various sectors of the economy. The total value added is the sum of wages and profits. We can see that the share of value added that goes towards wages varies substantially from one sector to another. In 1982, the share of value added going to workers in the energy industry was only 27 percent. That is equivalent to energy workers working 16 minutes in every hour for themselves, and 44 minutes per hour for their employers’ profit.
In other industries the rate of exploitation is lower. In manufacturing, for example, about 75 percent of value added goes towards wages. To arrive at an estimate of the average level of exploitation of employees for the economy as a whole, we start by adding up wages and profits for various capitalist sectors of the economy. If we look at the totals of wages and of property income we find that only about 60 percent of all value added went to the workers who created it.
Using these we find that workers in the capitalist sectors of the economy only get back 53 percent of the value added by their labor
This is all coupled with data tables and graphs on page 6 of the book. Steal it on LibGen so Cockshott doesn't get any money
It also back up Marx's pretty consistent example of profit equaling wages on average.