Lockheed Martin (LMT) Tax Provisions (2009 - 2026)
Lockheed Martin (LMT) posted Tax Provisions of $327 million for Q3 2026, up 2.5% from $319 million a year earlier but down 4.4% from the prior quarter.
Lockheed Martin (LMT) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 27, 2026, Tax Provisions at Lockheed Martin was $1.14 billion, up 60.8% year-over-year; for FY2025, it was $905 million, up 2.4% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- In prior years, Lockheed Martin's Tax Provisions was $884 million in FY2024 (-25.0%), $1.18 billion in FY2023 (+24.3%), $948 million in FY2022 (-23.2%) and $1.24 billion in FY2021 (-8.3%).
- Quarterly Tax Provisions has run from a low of -$8 million in Q4 2024 to a high of $441 million in Q4 2021 over five years.
- On a year-over-year basis, Tax Provisions increased in four of the last six quarters, with growth averaging 48.5%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q3 2022, with growth of 393.8%; the weakest was Q2 2022, with a decline of 94.1%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $342 million (Q2 2026), $286 million (Q1 2026) and $187 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,722.87 Bn | 1,722.87 Bn | 9.10 Bn | -390.00 Mn |
| 2 | General Electric | 345.20 Bn | 303.72 Bn | 5.02 Bn | 385.00 Mn |
| 3 | Rtx | 269.97 Bn | 238.24 Bn | 5.81 Bn | 593.00 Mn |
| 4 | Lockheed Martin | 137.94 Bn | 122.17 Bn | 2.44 Bn | 327.00 Mn |
| 5 | Boeing | 136.62 Bn | 45.58 Bn | 2.17 Bn | -7.00 Mn |
| 6 | General Dynamics | 98.71 Bn | 83.95 Bn | 2.25 Bn | 257.00 Mn |
| 7 | Howmet Aerospace | 88.13 Bn | 83.88 Bn | 1.00 Bn | 154.00 Mn |
| 8 | Motorola Solutions | 86.35 Bn | 82.81 Bn | 1.77 Bn | 164.00 Mn |
| 9 | Northrop Grumman | 77.53 Bn | 64.99 Bn | 2.35 Bn | 174.00 Mn |
| 10 | Honeywell International | 72.26 Bn | 31.77 Bn | 2.02 Bn | 60.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 327.00 Mn |
| Jun 28, 2026 | 342.00 Mn |
| Mar 29, 2026 | 286.00 Mn |
| Dec 31, 2025 | 187.00 Mn |
| Sep 28, 2025 | 319.00 Mn |
| Jun 29, 2025 | 75.00 Mn |
| Mar 30, 2025 | 324.00 Mn |
| Dec 31, 2024 | -8.00 Mn |
| Sep 29, 2024 | 295.00 Mn |
| Jun 30, 2024 | 307.00 Mn |
| Mar 31, 2024 | 290.00 Mn |
| Dec 31, 2023 | 279.00 Mn |
| Sep 24, 2023 | 269.00 Mn |
| Jun 25, 2023 | 325.00 Mn |
| Mar 26, 2023 | 305.00 Mn |
| Dec 31, 2022 | 278.00 Mn |
| Sep 25, 2022 | 321.00 Mn |
| Jun 26, 2022 | 21.00 Mn |
| Mar 27, 2022 | 328.00 Mn |
| Dec 31, 2021 | 441.00 Mn |
Lockheed Martin Tax Provisions 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=tax-provisions&ticker=LMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "LMT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=LMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();