General Dynamics (GD) Change in Taxes (2009 - 2018)
General Dynamics' Change in Taxes came in at $266 million for FY2024, compared with -$209 million in FY2023.
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Analysis
General Dynamics (GD) Change in Taxes (2009 - 2018) Analysis & Trends
Going back to FY2020, General Dynamics' Change in Taxes data covers 5 years.
- The FY2024 figure represents the highest annual Change in Taxes in data going back to FY2020.
- Per Business Quant, earlier years put Change in Taxes at -$209 million in FY2023, -$436 million in FY2022, -$45 million in FY2021 and -$39 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn | - |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn | - |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | - |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn | -287.00 Mn |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn | -56.00 Mn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn | - |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn | - |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn | 4.00 Mn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn | -87.00 Mn |
| 10 | Honeywell International | 72.44 Bn | 32.19 Bn | 2.02 Bn | 181.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 1, 2018 | 167.00 Mn |
| Apr 2, 2017 | 202.00 Mn |
| Apr 3, 2016 | 253.00 Mn |
| Apr 5, 2015 | 251.00 Mn |
| Sep 28, 2014 | -40.00 Mn |
| Jun 29, 2014 | 38.00 Mn |
| Mar 30, 2014 | 150.00 Mn |
| Sep 29, 2013 | 30.00 Mn |
| Jun 30, 2013 | -167.00 Mn |
| Mar 31, 2013 | 217.00 Mn |
| Jul 1, 2012 | -121.00 Mn |
| Apr 1, 2012 | 188.00 Mn |
| Apr 3, 2011 | 215.00 Mn |
| Apr 4, 2010 | 234.00 Mn |
| Apr 5, 2009 | 192.00 Mn |
API Access
General Dynamics Change in Taxes API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=change-in-taxes&ticker=GD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "GD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-taxes&ticker=GD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();