Lockheed Martin (LMT) Total Non-Current Liabilities (2009 - 2026)
Lockheed Martin's Total Non-Current Liabilities was $48.98 billion in Q3 2026, up 1.3% from $48.36 billion a year earlier and up 1.4% from the prior quarter.
Lockheed Martin (LMT) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Lockheed Martin came in at $47.78 billion, up 9.0% from FY2024.
- Total Non-Current Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $43.84 billion in FY2024 (+8.5%), $40.39 billion in FY2023 (+9.8%), $36.79 billion in FY2022 (+8.2%) and $33.99 billion in FY2021 (-11.7%).
- The Q3 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 16 straight quarters, with growth averaging 6.2% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2023 (growth of 18.9%); the worst was Q2 2022 (a decline of 13.7%).
- Per Business Quant data, LMT's Total Non-Current Liabilities in the three quarters before Q3 2026 was $48.28 billion (Q2 2026), $46.54 billion (Q1 2026) and $47.78 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,722.87 Bn | 1,722.87 Bn | 9.10 Bn | 75.62 Bn |
| 2 | General Electric | 345.20 Bn | 303.72 Bn | 5.02 Bn | 95.58 Bn |
| 3 | Rtx | 269.97 Bn | 238.24 Bn | 5.81 Bn | 82.00 Mn |
| 4 | Lockheed Martin | 137.94 Bn | 122.17 Bn | 2.44 Bn | 48.98 Bn |
| 5 | Boeing | 136.62 Bn | 45.58 Bn | 2.17 Bn | 161.64 Bn |
| 6 | General Dynamics | 98.71 Bn | 83.95 Bn | 2.25 Bn | 14.09 Bn |
| 7 | Howmet Aerospace | 88.13 Bn | 83.88 Bn | 1.00 Bn | 6.79 Bn |
| 8 | Motorola Solutions | 86.35 Bn | 82.81 Bn | 1.77 Bn | 15.89 Bn |
| 9 | Northrop Grumman | 77.53 Bn | 64.99 Bn | 2.35 Bn | 31.46 Bn |
| 10 | Honeywell International | 72.26 Bn | 31.77 Bn | 2.02 Bn | 26.94 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 48.98 Bn |
| Jun 28, 2026 | 48.28 Bn |
| Mar 29, 2026 | 46.54 Bn |
| Dec 31, 2025 | 47.78 Bn |
| Sep 28, 2025 | 48.36 Bn |
| Jun 29, 2025 | 47.71 Bn |
| Mar 30, 2025 | 44.66 Bn |
| Dec 31, 2024 | 43.84 Bn |
| Sep 29, 2024 | 43.07 Bn |
| Jun 30, 2024 | 43.71 Bn |
| Mar 31, 2024 | 43.08 Bn |
| Dec 31, 2023 | 40.39 Bn |
| Sep 24, 2023 | 39.74 Bn |
| Jun 25, 2023 | 40.34 Bn |
| Mar 26, 2023 | 37.89 Bn |
| Dec 31, 2022 | 36.79 Bn |
| Sep 25, 2022 | 33.57 Bn |
| Jun 26, 2022 | 33.93 Bn |
| Mar 27, 2022 | 35.34 Bn |
| Dec 31, 2021 | 33.99 Bn |
Lockheed Martin Total Non-Current 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-non-current-liabilities&ticker=LMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=LMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();