Lockheed Martin (LMT) Total Liabilities (2009 - 2026)
Lockheed Martin (LMT) posted Total Liabilities of $54.45 billion for Q3 2026, up 0.7% from $54.1 billion a year earlier and up 1.4% from the prior quarter.
Lockheed Martin (LMT) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Lockheed Martin's Total Liabilities came in at $53.12 billion, up 7.8% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In prior years, Lockheed Martin's Total Liabilities was $49.28 billion in FY2024 (+8.0%), $45.62 billion in FY2023 (+4.6%), $43.61 billion in FY2022 (+9.3%) and $39.91 billion in FY2021 (-10.7%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last 16 quarters, with growth averaging 5.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2023, with growth of 18.4%; the weakest was Q2 2022, with a decline of 11.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $53.68 billion (Q2 2026), $51.75 billion (Q1 2026) and $53.12 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,722.87 Bn | 1,722.87 Bn | 9.10 Bn | 77.28 Bn |
| 2 | General Electric | 345.20 Bn | 303.72 Bn | 5.02 Bn | 109.44 Bn |
| 3 | Rtx | 269.97 Bn | 238.24 Bn | 5.81 Bn | 105.63 Bn |
| 4 | Lockheed Martin | 137.94 Bn | 122.17 Bn | 2.44 Bn | 54.45 Bn |
| 5 | Boeing | 136.62 Bn | 45.58 Bn | 2.17 Bn | 164.18 Bn |
| 6 | General Dynamics | 98.71 Bn | 83.95 Bn | 2.25 Bn | 32.91 Bn |
| 7 | Howmet Aerospace | 88.13 Bn | 83.88 Bn | 1.00 Bn | 7.52 Bn |
| 8 | Motorola Solutions | 86.35 Bn | 82.81 Bn | 1.77 Bn | 18.06 Bn |
| 9 | Northrop Grumman | 77.53 Bn | 64.99 Bn | 2.35 Bn | 33.81 Bn |
| 10 | Honeywell International | 72.26 Bn | 31.77 Bn | 2.02 Bn | 30.44 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 54.45 Bn |
| Jun 28, 2026 | 53.68 Bn |
| Mar 29, 2026 | 51.75 Bn |
| Dec 31, 2025 | 53.12 Bn |
| Sep 28, 2025 | 54.10 Bn |
| Jun 29, 2025 | 53.54 Bn |
| Mar 30, 2025 | 49.99 Bn |
| Dec 31, 2024 | 49.28 Bn |
| Sep 29, 2024 | 48.32 Bn |
| Jun 30, 2024 | 48.90 Bn |
| Mar 31, 2024 | 48.31 Bn |
| Dec 31, 2023 | 45.62 Bn |
| Sep 24, 2023 | 47.39 Bn |
| Jun 25, 2023 | 47.74 Bn |
| Mar 26, 2023 | 44.98 Bn |
| Dec 31, 2022 | 43.61 Bn |
| Sep 25, 2022 | 40.06 Bn |
| Jun 26, 2022 | 40.33 Bn |
| Mar 27, 2022 | 41.51 Bn |
| Dec 31, 2021 | 39.91 Bn |
Lockheed Martin Total Liabilities 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=total-liabilities&ticker=LMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();