Custom Truck One Source (CTOS) Operating Leases (2021 - 2026)
Custom Truck One Source (CTOS) posted Operating Leases of $112.7 million for Q2 2026, up 15.1% from $97.89 million a year earlier and up 6.0% from the prior quarter.
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Analysis
Custom Truck One Source (CTOS) Operating Leases (2021 - 2026) Analysis & Trends
At the end of FY2025, Custom Truck One Source's Operating Leases came in at $105.91 million, up 19.4% from FY2024.
- Annual Operating Leases has increased for three consecutive years, with a four-year compound annual growth rate of 35.4% (FY2021 to FY2025).
- In prior years, Custom Truck One Source's Operating Leases was $88.67 million in FY2024 (+171.1%), $32.71 million in FY2023 (+31.8%), $24.82 million in FY2022 (-21.2%) and $31.51 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Operating Leases in data going back to Q2 2021.
- On a year-over-year basis, Operating Leases has increased in each of the last 12 quarters, with growth averaging 83.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q4 2024, with growth of 171.1%; the weakest was Q1 2023, with a decline of 22.1%.
- According to Business Quant data, Operating Leases for the three prior quarters was $106.29 million (Q1 2026), $105.91 million (Q4 2025) and $99.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 63.93 Bn | 62.69 Bn | 1.73 Bn |
| 2 | W.W. Grainger | 62.64 Bn | 60.23 Bn | 1.98 Bn |
| 3 | Fastenal | 59.17 Bn | 58.09 Bn | 1.06 Bn |
| 4 | Ferguson Enterprises | 43.70 Bn | 40.92 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 30.82 Bn | 30.70 Bn | 1.25 Bn |
| 6 | Reliance | 21.06 Bn | 20.10 Bn | 1.30 Bn |
| 7 | Wesco International | 16.42 Bn | 13.74 Bn | 1.46 Bn |
| 8 | Applied Industrial Technologies | 12.30 Bn | 12.17 Bn | 411.22 Mn |
| 9 | Watsco | 11.36 Bn | 9.04 Bn | 578.93 Mn |
| 10 | Custom Truck One Source | 2.04 Bn | 2.01 Bn | 123.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.70 Mn |
| Mar 31, 2026 | 106.29 Mn |
| Dec 31, 2025 | 105.91 Mn |
| Sep 30, 2025 | 99.10 Mn |
| Jun 30, 2025 | 97.89 Mn |
| Mar 31, 2025 | 88.78 Mn |
| Dec 31, 2024 | 88.67 Mn |
| Sep 30, 2024 | 44.26 Mn |
| Jun 30, 2024 | 40.30 Mn |
| Mar 31, 2024 | 37.40 Mn |
| Dec 31, 2023 | 32.71 Mn |
| Sep 30, 2023 | 31.56 Mn |
| Jun 30, 2023 | 28.73 Mn |
| Mar 31, 2023 | 23.93 Mn |
| Dec 31, 2022 | 24.82 Mn |
| Sep 30, 2022 | 29.63 Mn |
| Jun 30, 2022 | 30.62 Mn |
| Mar 31, 2022 | 30.72 Mn |
| Dec 31, 2021 | 31.51 Mn |
| Sep 30, 2021 | 32.43 Mn |
API Access
Custom Truck One Source Operating Leases 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=operating-leases&ticker=CTOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();