Lockheed Martin (LMT) Return on Sales [ROS] (2009 - 2026)
Lockheed Martin's Return on Sales [ROS] was 12.36% in Q2 2026, up 8.24 percentage points from 4.12% a year earlier and up 0.91 percentage points from the prior quarter.
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Analysis
Lockheed Martin (LMT) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lockheed Martin's Return on Sales [ROS] was 11.88% through Jun 28, 2026, up 3.59 percentage points year-over-year; for FY2025, it was 10.30%, up 0.43 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -2.92 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 9.87% in FY2024 (-2.72 pp), 12.59% in FY2023 (-0.06 pp), 12.65% in FY2022 (-0.96 pp) and 13.61% in FY2021 (+0.39 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q1 2025.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of -0.05 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2026 (a gain of 8.24 percentage points); the worst was Q4 2024 (a drop of 8.41 percentage points).
- Per Business Quant data, LMT's Return on Sales [ROS] in the three quarters before Q2 2026 was 11.45% (Q1 2026), 11.47% (Q4 2025) and 12.25% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 18.37% |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn | 44.76% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 12.36% |
| Mar 29, 2026 | 11.45% |
| Dec 31, 2025 | 11.47% |
| Sep 28, 2025 | 12.25% |
| Jun 29, 2025 | 4.12% |
| Mar 30, 2025 | 13.20% |
| Dec 31, 2024 | 3.74% |
| Sep 29, 2024 | 12.51% |
| Jun 30, 2024 | 11.85% |
| Mar 31, 2024 | 11.80% |
| Dec 31, 2023 | 12.15% |
| Sep 24, 2023 | 12.10% |
| Jun 25, 2023 | 12.79% |
| Mar 26, 2023 | 13.47% |
| Dec 31, 2022 | 12.07% |
| Sep 25, 2022 | 13.02% |
| Jun 26, 2022 | 12.71% |
| Mar 27, 2022 | 12.92% |
| Dec 31, 2021 | 13.85% |
| Sep 26, 2021 | 14.31% |
API Access
Lockheed Martin Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();