Boeing (BA) Return on Sales [ROS] (2009 - 2026)
Boeing's Return on Sales [ROS] was 0.64% in Q2 2026, up 1.41 percentage points from -0.77% a year earlier but down 1.38 percentage points from the prior quarter.
Boeing (BA) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Boeing's Return on Sales [ROS] was 4.89% through Jun 30, 2026, up 17.17 percentage points year-over-year; for FY2025, it came in at 4.79%, up 20.88 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +26.74 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -16.10% in FY2024 (-15.10 pp), -0.99% in FY2023 (+4.29 pp), -5.28% in FY2022 (-0.68 pp) and -4.61% in FY2021 (+17.34 pp).
- Quarterly Return on Sales [ROS] has moved between -32.29% (Q3 2024) and 36.65% (Q4 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in five of the last eight quarters, with an average year-over-year change of +3.61 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2025 (a gain of 61.38 percentage points); the worst was Q3 2024 (a drop of 27.83 percentage points).
- Per Business Quant data, BA's Return on Sales [ROS] in the three quarters before Q2 2026 was 2.02% (Q1 2026), 36.65% (Q4 2025) and -20.55% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 18.37% |
| 10 | TransDigm | 60.65 Bn | 48.74 Bn | 1.63 Bn | 44.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.64% |
| Mar 31, 2026 | 2.02% |
| Dec 31, 2025 | 36.65% |
| Sep 30, 2025 | -20.55% |
| Jun 30, 2025 | -0.77% |
| Mar 31, 2025 | 2.36% |
| Dec 31, 2024 | -24.73% |
| Sep 30, 2024 | -32.29% |
| Jun 30, 2024 | -6.46% |
| Mar 31, 2024 | -0.52% |
| Dec 31, 2023 | 1.29% |
| Sep 30, 2023 | -4.46% |
| Jun 30, 2023 | -0.50% |
| Mar 31, 2023 | -0.83% |
| Dec 31, 2022 | -1.73% |
| Sep 30, 2022 | -17.50% |
| Jun 30, 2022 | 4.68% |
| Mar 31, 2022 | -8.31% |
| Dec 31, 2021 | -27.98% |
| Sep 30, 2021 | 2.15% |
Boeing 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=BA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BA", "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=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();