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- symbols.f <- c("NVDA.f", "GOOG.f", "GE.f")
- [1] "GE.f.12.31.2017"
- [2] "GE.f.12.31.2016"
- [3] "GE.f.12.31.2015"
- [4] "GE.f.12.31.2014"
- [5] "GOOG.f.12.31.2017"
- [6] "GOOG.f.12.31.2016"
- [7] "GOOG.f.12.31.2015"
- [8] "GOOG.f.12.31.2014"
- [9] "NVDA.f.1.28.2018"
- [10] "NVDA.f.1.29.2017"
- [11] "NVDA.f.1.31.2016"
- [12] "NVDA.f.1.25.2015"
- [1] "GE2017"
- [2] "GE2016"
- [3] "GE2015"
- [4] "GE2014"
- [5] "GOOG2017"
- [6] "GOOG2016"
- [7] "GOOG2015"
- [8] "GOOG2014"
- df <- structure(list(GE.f.12.31.2017 = c(18211000, NA, 46549000, 21923000,
- 5790000, 140110000, 38696000, 53874000, 83968000, 20273000, NA,
- 41024000, 6207000, 377945000, 15153000, 134591000, 21400000,
- 61893000, 108575000, 82597000, NA, 21122000, NA, 292560000, NA,
- NA, NA, 702000, 125682000, -62127000, NA, 22775000, 64257000,
- -39984000), GE.f.12.31.2016 = c(10525000, NA, 42687000, 22354000,
- 2867000, 149029000, 44313000, 50518000, 68070000, 16436000, NA,
- 34449000, 1833000, 365183000, 14435000, 136211000, 20772000,
- 70364000, 105080000, 83040000, NA, 4688000, NA, 284667000, NA,
- NA, NA, 702000, 139532000, -64412000, NA, 18626000, 75822000,
- -11052000), GE.f.12.31.2015 = c(10372000, NA, 43013000, 22515000,
- 5109000, 280896000, 31973000, 54095000, 65526000, 17797000, NA,
- 42784000, 3105000, 493071000, 13680000, 197602000, 27453000,
- 138270000, 144659000, 79175000, NA, 4836000, NA, 389961000, NA,
- NA, NA, 702000, 140020000, -42454000, NA, 21085000, 98268000,
- 14945000), GE.f.12.31.2014 = c(15916000, NA, 23237000, 17639000,
- 6566000, 460743000, 35505000, 48070000, 53207000, 13182000, NA,
- 44247000, 6183000, 654954000, 12067000, 261424000, 18203000,
- 229564000, 186596000, 70801000, NA, 8772000, NA, 518023000, NA,
- NA, NA, 702000, 155333000, -27876000, NA, 14717000, 128159000,
- 61770000), GOOG.f.12.31.2017 = c(10715000, 91156000, 18705000,
- 749000, 2983000, 124308000, 7813000, 42383000, 16747000, 2692000,
- NA, 3352000, 680000, 197295000, 3137000, 3969000, 10651000, 24183000,
- 3943000, 16641000, NA, NA, NA, 44793000, NA, NA, NA, 40247000,
- 113247000, -992000, NA, -992000, 152502000, 133063000), GOOG.f.12.31.2016 = c(12918000,
- 73415000, 15632000, 268000, 3175000, 105408000, 5878000, 34234000,
- 16468000, 3307000, NA, 2202000, 383000, 167497000, 2041000, 3935000,
- 5851000, 16756000, 3935000, 7770000, NA, NA, NA, 28461000, NA,
- NA, NA, 36307000, 105131000, -2402000, NA, -2402000, 139036000,
- 119261000), GOOG.f.12.31.2015 = c(15409000, 56517000, 13459000,
- 491000, 1590000, 90114000, 5183000, 29016000, 15869000, 3847000,
- NA, 3432000, 251000, 147461000, 1931000, 7648000, 4327000, 19310000,
- 1995000, 5825000, NA, NA, NA, 27130000, NA, NA, NA, 32982000,
- 89223000, -1874000, NA, -1874000, 120331000, 100615000), GOOG.f.12.31.2014 = c(16585000,
- 46048000, 9974000, NA, 2637000, 78656000, 3079000, 23883000,
- 15599000, 4607000, NA, 3363000, 176000, 129187000, 1715000, 8015000,
- 2803000, 16779000, 2992000, 5320000, NA, NA, NA, 25327000, NA,
- NA, NA, 28767000, 75066000, 27000, NA, 27000, 103860000, 83654000
- ), NVDA.f.1.28.2018 = c(7108000, NA, 1265000, 796000, NA, 9255000,
- NA, 997000, 618000, 52000, NA, 319000, NA, 11241000, 596000,
- 2e+06, NA, 1153000, 1985000, 632000, NA, NA, NA, 3770000, NA,
- NA, NA, 7471000, NA, NA, NA, NA, 7471000, 6801000), NVDA.f.1.29.2017 = c(1766000,
- 5032000, 826000, 794000, NA, 8536000, NA, 521000, 618000, 104000,
- NA, 62000, NA, 9841000, 485000, 2791000, 325000, 1788000, 1985000,
- 3e+05, NA, NA, NA, 4079000, NA, NA, NA, 1000, 6108000, -5055000,
- 4708000, -16000, 5762000, 5040000), NVDA.f.1.31.2016 = c(596000,
- 4441000, 505000, 418000, NA, 6053000, NA, 466000, 618000, 166000,
- NA, 67000, NA, 7370000, 296000, 1434000, 532000, 2351000, 7000,
- 533000, NA, NA, NA, 2901000, NA, NA, NA, 1000, 4350000, -4052000,
- 4170000, -4000, 4469000, 3685000), NVDA.f.1.25.2015 = c(497000,
- 4126000, 474000, 483000, 63000, 5713000, NA, 557000, 618000,
- 222000, NA, 91000, NA, 7201000, 293000, 1398000, 471000, 896000,
- 1384000, 489000, NA, NA, NA, 2783000, NA, NA, NA, 1000, 3949000,
- -3387000, 3855000, 8000, 4418000, 3578000)), .Names = c("GE.f.12.31.2017",
- "GE.f.12.31.2016", "GE.f.12.31.2015", "GE.f.12.31.2014", "GOOG.f.12.31.2017",
- "GOOG.f.12.31.2016", "GOOG.f.12.31.2015", "GOOG.f.12.31.2014",
- "NVDA.f.1.28.2018", "NVDA.f.1.29.2017", "NVDA.f.1.31.2016", "NVDA.f.1.25.2015"
- ), row.names = c("Cash And Cash Equivalents", "Short Term Investments",
- "Net Receivables", "Inventory", "Other Current Assets", "Total Current Assets",
- "Long Term Investments", "Property Plant and Equipment", "Goodwill",
- "Intangible Assets", "Accumulated Amortization", "Other Assets",
- "Deferred Long Term Asset Charges", "Total Assets", "Accounts Payable",
- "Short/Current Long Term Debt", "Other Current Liabilities",
- "Total Current Liabilities", "Long Term Debt", "Other Liabilities",
- "Deferred Long Term Liability Charges", "Minority Interest",
- "Negative Goodwill", "Total Liabilities", "Misc. Stocks Options Warrants",
- "Redeemable Preferred Stock", "Preferred Stock", "Common Stock",
- "Retained Earnings", "Treasury Stock", "Capital Surplus", "Other Stockholder Equity",
- "Total Stockholder Equity", "Net Tangible Assets"), class = "data.frame")
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