Lockheed Martin (LMT) Cost of Revenue (2009 - 2026)
Lockheed Martin's Cost of Revenue was $17.62 billion in Q2 2026, up 1.1% from $17.42 billion a year earlier and up 10.5% from the prior quarter.
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Analysis
Lockheed Martin (LMT) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lockheed Martin's Cost of Revenue was $67.93 billion through Jun 28, 2026, up 3.0% year-over-year; for FY2025, it came in at $67.43 billion, up 5.2% from FY2024.
- Cost of Revenue has now increased for three consecutive years, with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $64.11 billion in FY2024 (+8.5%), $59.09 billion in FY2023 (+2.4%), $57.7 billion in FY2022 (-0.5%) and $57.98 billion in FY2021 (+2.2%).
- Quarterly Cost of Revenue has moved between $13.06 billion (Q1 2022) and $18 billion (Q4 2025) over five years.
- Compared with a year earlier, Cost of Revenue has increased for ten straight quarters, with growth averaging 4.2% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q1 2024 (growth of 16.2%); the worst was Q2 2022 (a decline of 9.3%).
- Per Business Quant data, LMT's Cost of Revenue in the three quarters before Q2 2026 was $15.94 billion (Q1 2026), $18 billion (Q4 2025) and $16.37 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn | 1.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 17.62 Bn |
| Mar 29, 2026 | 15.94 Bn |
| Dec 31, 2025 | 18.00 Bn |
| Sep 28, 2025 | 16.37 Bn |
| Jun 29, 2025 | 17.42 Bn |
| Mar 30, 2025 | 15.64 Bn |
| Dec 31, 2024 | 17.93 Bn |
| Sep 29, 2024 | 14.99 Bn |
| Jun 30, 2024 | 15.99 Bn |
| Mar 31, 2024 | 15.20 Bn |
| Dec 31, 2023 | 16.58 Bn |
| Sep 24, 2023 | 14.83 Bn |
| Jun 25, 2023 | 14.60 Bn |
| Mar 26, 2023 | 13.08 Bn |
| Dec 31, 2022 | 16.69 Bn |
| Sep 25, 2022 | 14.46 Bn |
| Jun 26, 2022 | 13.49 Bn |
| Mar 27, 2022 | 13.06 Bn |
| Dec 31, 2021 | 15.31 Bn |
| Sep 26, 2021 | 13.73 Bn |
API Access
Lockheed Martin Cost of Revenue 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=cost-of-revenue&ticker=LMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();