Rtx (RTX) Return on Sales [ROS] (2009 - 2026)
Rtx's Return on Sales [ROS] was 11.38% in Q2 2026, up 1.43 percentage points from 9.94% a year earlier but down 0.20 percentage points from the prior quarter.
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Analysis
Rtx (RTX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rtx's Return on Sales [ROS] was 11.21% through Jun 30, 2026, up 1.26 percentage points year-over-year; for FY2025, it came in at 10.50%, up 2.40 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +13.83 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 8.10% in FY2024 (+2.93 pp), 5.17% in FY2023 (-3.04 pp), 8.21% in FY2022 (+0.23 pp) and 7.98% in FY2021 (+11.31 pp).
- Quarterly Return on Sales [ROS] has moved between -10.37% (Q3 2023) and 11.57% (Q1 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for eight straight quarters, with an average year-over-year change of +4.25 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2024 (a gain of 20.46 percentage points); the worst was Q3 2023 (a drop of 19.34 percentage points).
- Per Business Quant data, RTX's Return on Sales [ROS] in the three quarters before Q2 2026 was 11.57% (Q1 2026), 10.71% (Q4 2025) and 11.22% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 339.47 Bn | 293.47 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 255.27 Bn | 228.48 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 156.48 Bn | 63.18 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 119.91 Bn | 106.64 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.95 Bn | 88.55 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 91.08 Bn | 78.19 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 75.61 Bn | 71.97 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 72.52 Bn | 61.76 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.37 Bn | 19.81 Bn | 3.65 Bn | 18.37% |
| 10 | TransDigm | 61.72 Bn | 49.81 Bn | 1.63 Bn | 44.76% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.38% |
| Mar 31, 2026 | 11.57% |
| Dec 31, 2025 | 10.71% |
| Sep 30, 2025 | 11.22% |
| Jun 30, 2025 | 9.94% |
| Mar 31, 2025 | 10.02% |
| Dec 31, 2024 | 9.76% |
| Sep 30, 2024 | 10.10% |
| Jun 30, 2024 | 2.68% |
| Mar 31, 2024 | 9.69% |
| Dec 31, 2023 | 8.92% |
| Sep 30, 2023 | -10.37% |
| Jun 30, 2023 | 8.15% |
| Mar 31, 2023 | 9.80% |
| Dec 31, 2022 | 8.24% |
| Sep 30, 2022 | 8.97% |
| Jun 30, 2022 | 8.29% |
| Mar 31, 2022 | 6.87% |
| Dec 31, 2021 | 8.79% |
| Sep 30, 2021 | 8.28% |
API Access
Rtx 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=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RTX", "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=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();