Rtx (RTX) Return on Capital Employed [ROCE] (2009 - 2026)
Rtx's Return on Capital Employed [ROCE] came in at 9.62% for Q2 2026, up 2.17 percentage points from 7.45% a year earlier and up 0.87 percentage points from the prior quarter.
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Analysis
Rtx (RTX) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Rtx's Return on Capital Employed [ROCE] was 8.60%, up 2.70 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +10.24 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 5.90% in FY2024 (+2.76 pp), 3.13% in FY2023 (-1.41 pp), 4.55% in FY2022 (+0.48 pp) and 4.07% in FY2021 (+5.71 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q3 2018.
- Year-over-year, Return on Capital Employed [ROCE] has increased for eight consecutive quarters, with an average year-over-year change of +2.85 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2022 (a gain of 5.89 percentage points), and the weakest in Q2 2024 (a drop of 2.65 percentage points).
- Business Quant data shows RTX's Return on Capital Employed [ROCE] at 8.75% (Q1 2026), 8.37% (Q4 2025) and 7.69% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 339.47 Bn | 293.47 Bn | 4.68 Bn | -26.86% |
| 2 | Rtx | 255.27 Bn | 228.48 Bn | 5.13 Bn | 9.62% |
| 3 | Boeing | 156.48 Bn | 63.18 Bn | 2.41 Bn | 8.25% |
| 4 | Lockheed Martin | 119.91 Bn | 106.64 Bn | 2.45 Bn | 24.71% |
| 5 | Howmet Aerospace | 92.95 Bn | 88.55 Bn | 951.00 Mn | 22.99% |
| 6 | General Dynamics | 91.08 Bn | 78.19 Bn | 2.18 Bn | 13.87% |
| 7 | Motorola Solutions | 75.61 Bn | 71.97 Bn | 1.68 Bn | 22.44% |
| 8 | Northrop Grumman | 72.52 Bn | 61.76 Bn | 2.12 Bn | 12.41% |
| 9 | Honeywell International | 67.37 Bn | 19.81 Bn | 3.65 Bn | 15.09% |
| 10 | TransDigm | 61.72 Bn | 49.81 Bn | 1.63 Bn | 19.59% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.62% |
| Mar 31, 2026 | 8.75% |
| Dec 31, 2025 | 8.37% |
| Sep 30, 2025 | 7.69% |
| Jun 30, 2025 | 7.45% |
| Mar 31, 2025 | 6.03% |
| Dec 31, 2024 | 5.82% |
| Sep 30, 2024 | 5.60% |
| Jun 30, 2024 | 2.50% |
| Mar 31, 2024 | 3.23% |
| Dec 31, 2023 | 3.09% |
| Sep 30, 2023 | 2.79% |
| Jun 30, 2023 | 5.15% |
| Mar 31, 2023 | 5.04% |
| Dec 31, 2022 | 4.56% |
| Sep 30, 2022 | 4.53% |
| Jun 30, 2022 | 4.34% |
| Mar 31, 2022 | 4.15% |
| Dec 31, 2021 | 4.12% |
| Sep 30, 2021 | 3.03% |
API Access
Rtx Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=RTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=RTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();