Custom Truck One Source (CTOS) Cost of Revenue (2018 - 2026)
Custom Truck One Source (CTOS) reported Cost of Revenue of $439.47 million for Q2 2026, up 7.5% from $408.94 million a year earlier and up 22.6% from the prior quarter.
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Analysis
Custom Truck One Source (CTOS) Cost of Revenue (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Custom Truck One Source's Cost of Revenue came in at $1.58 billion, up 5.4% year-over-year; for FY2025, it came in at $1.53 billion, up 8.5% from FY2024.
- Cost of Revenue has increased for eight consecutive years, with a five-year compound annual growth rate of 46.6% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $1.41 billion in FY2024 (+0.1%), $1.41 billion in FY2023 (+18.6%), $1.19 billion in FY2022 (+24.3%) and $957.14 million in FY2021 (+323.0%).
- The Q2 2026 figure ranks as the highest quarterly Cost of Revenue in data going back to Q1 2018.
- Year over year, Cost of Revenue has now increased in each of the last eight quarters, with growth averaging 7.5% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q3 2021 (growth of 444.6%); the low point was Q2 2022 (a decline of 14.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $358.56 million (Q1 2026), $405.12 million (Q4 2025) and $381.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 68.20 Bn | 67.32 Bn | 2.05 Bn | 2.85 Bn |
| 2 | W.W. Grainger | 63.59 Bn | 61.57 Bn | 1.98 Bn | 3.04 Bn |
| 3 | Fastenal | 59.55 Bn | 58.55 Bn | 1.10 Bn | 1.36 Bn |
| 4 | Ferguson Enterprises | 44.05 Bn | 41.26 Bn | 2.32 Bn | 5.15 Bn |
| 5 | Sunbelt Rentals Holdings | 32.18 Bn | 32.06 Bn | 1.25 Bn | 1.87 Bn |
| 6 | Reliance | 21.22 Bn | 20.27 Bn | 1.30 Bn | 3.33 Bn |
| 7 | Wesco International | 15.49 Bn | 12.80 Bn | 1.46 Bn | 5.21 Bn |
| 8 | Avantor | 11.69 Bn | 10.49 Bn | 537.00 Mn | 1.16 Bn |
| 9 | Applied Industrial Technologies | 11.67 Bn | 11.54 Bn | 411.22 Mn | 941.47 Mn |
| 10 | Custom Truck One Source | 2.06 Bn | 2.02 Bn | 123.97 Mn | 439.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 439.47 Mn |
| Mar 31, 2026 | 358.56 Mn |
| Dec 31, 2025 | 405.12 Mn |
| Sep 30, 2025 | 381.31 Mn |
| Jun 30, 2025 | 408.94 Mn |
| Mar 31, 2025 | 336.70 Mn |
| Dec 31, 2024 | 402.28 Mn |
| Sep 30, 2024 | 355.39 Mn |
| Jun 30, 2024 | 333.75 Mn |
| Mar 31, 2024 | 320.60 Mn |
| Dec 31, 2023 | 394.93 Mn |
| Sep 30, 2023 | 327.20 Mn |
| Jun 30, 2023 | 346.21 Mn |
| Mar 31, 2023 | 342.50 Mn |
| Dec 31, 2022 | 358.40 Mn |
| Sep 30, 2022 | 269.61 Mn |
| Jun 30, 2022 | 279.35 Mn |
| Mar 31, 2022 | 281.98 Mn |
| Dec 31, 2021 | 278.59 Mn |
| Sep 30, 2021 | 292.05 Mn |
API Access
Custom Truck One Source Cost of Revenue 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=cost-of-revenue&ticker=CTOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();