Lockheed Martin (LMT) Total Liabilities (2009 - 2026)
Lockheed Martin (LMT) posted Total Liabilities of $53.68 billion for Q2 2026, up 0.3% from $53.54 billion a year earlier and up 3.7% 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%).
- Quarterly Total Liabilities has run from a low of $39.91 billion in Q4 2021 to a high of $54.1 billion in Q3 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last 15 quarters, with growth averaging 5.8% 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 $51.75 billion (Q1 2026), $53.12 billion (Q4 2025) and $54.1 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 58.49 Bn |
| 10 | TransDigm | 59.83 Bn | 47.91 Bn | 1.63 Bn | 36.56 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 26, 2021 | 42.21 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();