Custom Truck One Source (CTOS) Return on Capital Employed [ROCE] (2018 - 2026)
Custom Truck One Source's Return on Capital Employed [ROCE] came in at 6.28% for Q2 2026, up 1.06 percentage points from 5.23% a year earlier and up 0.57 percentage points from the prior quarter.
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Analysis
Custom Truck One Source (CTOS) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Custom Truck One Source's Return on Capital Employed [ROCE] was 4.81%, down 0.38 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +2.41 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 5.19% in FY2024 (-2.39 pp), 7.58% in FY2023 (+2.83 pp), 4.75% in FY2022 (+8.01 pp) and -3.26% in FY2021 (-5.66 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q4 2023.
- Year-over-year, Return on Capital Employed [ROCE] increased in three of the last eight quarters, with an average year-over-year change of -0.44 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2023 (a gain of 7.13 percentage points), and the weakest in Q3 2021 (a drop of 5.71 percentage points).
- Business Quant data shows CTOS's Return on Capital Employed [ROCE] at 5.71% (Q1 2026), 4.77% (Q4 2025) and 5.46% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.40 Bn | 64.16 Bn | 1.73 Bn | 16.11% |
| 2 | W.W. Grainger | 63.07 Bn | 60.67 Bn | 1.98 Bn | 37.06% |
| 3 | Fastenal | 59.20 Bn | 58.13 Bn | 1.06 Bn | 40.62% |
| 4 | Ferguson Enterprises | 44.13 Bn | 41.34 Bn | 2.32 Bn | 23.37% |
| 5 | Sunbelt Rentals Holdings | 31.58 Bn | 31.46 Bn | 1.25 Bn | 12.18% |
| 6 | Reliance | 21.32 Bn | 20.36 Bn | 1.30 Bn | 12.56% |
| 7 | Wesco International | 16.71 Bn | 14.03 Bn | 1.46 Bn | 10.99% |
| 8 | Applied Industrial Technologies | 12.36 Bn | 12.23 Bn | 411.22 Mn | 23.02% |
| 9 | Watsco | 11.52 Bn | 9.20 Bn | 578.93 Mn | 18.08% |
| 10 | Custom Truck One Source | 2.07 Bn | 2.03 Bn | 123.97 Mn | 6.28% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.28% |
| Mar 31, 2026 | 5.71% |
| Dec 31, 2025 | 4.77% |
| Sep 30, 2025 | 5.46% |
| Jun 30, 2025 | 5.23% |
| Mar 31, 2025 | 4.82% |
| Dec 31, 2024 | 4.97% |
| Sep 30, 2024 | 4.59% |
| Jun 30, 2024 | 5.26% |
| Mar 31, 2024 | 6.18% |
| Dec 31, 2023 | 7.12% |
| Sep 30, 2023 | 7.17% |
| Jun 30, 2023 | 6.49% |
| Mar 31, 2023 | 5.82% |
| Dec 31, 2022 | 4.57% |
| Sep 30, 2022 | 2.71% |
| Jun 30, 2022 | 1.47% |
| Mar 31, 2022 | -1.31% |
| Dec 31, 2021 | -1.87% |
| Sep 30, 2021 | -2.15% |
API Access
Custom Truck One Source 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=CTOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "CTOS", "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=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();