Custom Truck One Source (CTOS) Return on Sales [ROS] (2018 - 2026)
Custom Truck One Source's Return on Sales [ROS] came in at 8.27% for Q2 2026, up 2.81 percentage points from 5.46% a year earlier and up 1.46 percentage points from the prior quarter.
Powered by 
Analysis
Custom Truck One Source (CTOS) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Custom Truck One Source reported Return on Sales [ROS] of 7.99%, up 1.12 percentage points year-over-year; for FY2025, it came in at 6.43%, down 0.58 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +0.73 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 7.01% in FY2024 (-2.15 pp), 9.17% in FY2023 (+2.60 pp), 6.57% in FY2022 (+10.16 pp) and -3.60% in FY2021 (-9.29 pp).
- The five-year range for quarterly Return on Sales [ROS] is -1.49% (Q3 2021) to 12.92% (Q4 2024).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +0.51 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2022 (a gain of 16.76 percentage points), and the weakest in Q3 2021 (a drop of 8.65 percentage points).
- Business Quant data shows CTOS's Return on Sales [ROS] at 6.82% (Q1 2026), 9.84% (Q4 2025) and 6.77% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 68.20 Bn | 67.32 Bn | 2.05 Bn | 28.80% |
| 2 | W.W. Grainger | 63.59 Bn | 61.57 Bn | 1.98 Bn | 16.07% |
| 3 | Fastenal | 59.55 Bn | 58.55 Bn | 1.10 Bn | 21.55% |
| 4 | Ferguson Enterprises | 44.05 Bn | 41.26 Bn | 2.32 Bn | 8.19% |
| 5 | Sunbelt Rentals Holdings | 32.18 Bn | 32.06 Bn | 1.25 Bn | 22.18% |
| 6 | Reliance | 21.22 Bn | 20.27 Bn | 1.30 Bn | 9.54% |
| 7 | Wesco International | 15.49 Bn | 12.80 Bn | 1.46 Bn | 5.73% |
| 8 | Avantor | 11.69 Bn | 10.49 Bn | 537.00 Mn | 7.20% |
| 9 | Applied Industrial Technologies | 11.67 Bn | 11.54 Bn | 411.22 Mn | 11.78% |
| 10 | Custom Truck One Source | 2.06 Bn | 2.02 Bn | 123.97 Mn | 8.27% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.27% |
| Mar 31, 2026 | 6.82% |
| Dec 31, 2025 | 9.84% |
| Sep 30, 2025 | 6.77% |
| Jun 30, 2025 | 5.46% |
| Mar 31, 2025 | 2.94% |
| Dec 31, 2024 | 12.92% |
| Sep 30, 2024 | 5.15% |
| Jun 30, 2024 | 4.18% |
| Mar 31, 2024 | 4.47% |
| Dec 31, 2023 | 10.25% |
| Sep 30, 2023 | 8.75% |
| Jun 30, 2023 | 8.66% |
| Mar 31, 2023 | 8.82% |
| Dec 31, 2022 | 10.61% |
| Sep 30, 2022 | 6.46% |
| Jun 30, 2022 | 5.18% |
| Mar 31, 2022 | 2.68% |
| Dec 31, 2021 | 2.76% |
| Sep 30, 2021 | -1.49% |
API Access
Custom Truck One Source 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=CTOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();