Lockheed Martin (LMT) EBITDA (2009 - 2026)
Lockheed Martin (LMT) posted EBITDA of $2.88 billion for Q2 2026, up 151.0% from $1.15 billion a year earlier and up 17.0% from the prior quarter.
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Analysis
Lockheed Martin (LMT) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, EBITDA at Lockheed Martin was $10.84 billion, up 42.6% year-over-year; for FY2025, it came in at $9.42 billion, up 9.9% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- In prior years, Lockheed Martin's EBITDA was $8.57 billion in FY2024 (-13.7%), $9.94 billion in FY2023 (+1.9%), $9.75 billion in FY2022 (-7.0%) and $10.49 billion in FY2021 (+5.6%).
- The Q2 2026 figure stands as the highest quarterly EBITDA in data going back to Q1 2009.
- On a year-over-year basis, EBITDA increased in five of the last eight quarters, with growth averaging 24.9%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2026, with growth of 151.0%; the weakest was Q4 2024, with a decline of 57.4%.
- According to Business Quant data, EBITDA for the three prior quarters was $2.46 billion (Q1 2026), $2.79 billion (Q4 2025) and $2.71 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 1.68 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 2.10 Bn |
| 10 | TransDigm | 60.79 Bn | 48.88 Bn | 1.63 Bn | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.88 Bn |
| Mar 29, 2026 | 2.46 Bn |
| Dec 31, 2025 | 2.79 Bn |
| Sep 28, 2025 | 2.71 Bn |
| Jun 29, 2025 | 1.15 Bn |
| Mar 30, 2025 | 2.77 Bn |
| Dec 31, 2024 | 1.16 Bn |
| Sep 29, 2024 | 2.53 Bn |
| Jun 30, 2024 | 2.51 Bn |
| Mar 31, 2024 | 2.38 Bn |
| Dec 31, 2023 | 2.71 Bn |
| Sep 24, 2023 | 2.39 Bn |
| Jun 25, 2023 | 2.47 Bn |
| Mar 26, 2023 | 2.36 Bn |
| Dec 31, 2022 | 2.73 Bn |
| Sep 25, 2022 | 2.45 Bn |
| Jun 26, 2022 | 2.31 Bn |
| Mar 27, 2022 | 2.26 Bn |
| Dec 31, 2021 | 2.82 Bn |
| Sep 26, 2021 | 2.62 Bn |
API Access
Lockheed Martin EBITDA 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=ebitda&ticker=LMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();