Custom Truck One Source (CTOS) Operating Leases (2021 - 2026)
Custom Truck One Source's (CTOS) quarterly Operating Leases came in at $112.7 million in Q2 2026, up 15.13% year-over-year from $97.9 million in Q2 2025, and up 6.03% quarter-over-quarter from $106.3 million in Q1 2026.
Custom Truck One Source (CTOS) Operating Leases (2021 - 2026) Analysis & Trends
Custom Truck One Source has disclosed Operating Leases across 6 years of filings, most recently posting $112.7 million for Q2 2026.
- In Q2 2026, Operating Leases rose 15.13% year-over-year to $112.7 million; the TTM figure through Jun 2026 stood at $112.7 million (up 15.13% YoY), while the FY2025 annual figure was $105.9 million, up 19.44% from the prior year.
- Operating Leases came in at $112.7 million for Q2 2026 at Custom Truck One Source, up from $106.3 million in the prior quarter.
- In the past five years, Operating Leases ranged from a high of $112.7 million in Q2 2026 to a low of $23.9 million in Q1 2023.
- Average Operating Leases over 5 years is $58.6 million, with a median of $38.8 million recorded in 2024.
- Year-over-year, Operating Leases slipped 22.09% in 2023 and soared 171.06% in 2024.
- Over 5 years, Operating Leases stood at $24.8 million in 2022, then jumped by 31.82% to $32.7 million in 2023, then surged by 171.06% to $88.7 million in 2024, then gained by 19.44% to $105.9 million in 2025, then grew by 6.41% to $112.7 million in 2026.
- Per Business Quant data, the three most recent Operating Leases figures were $112.7 million in Q2 2026, $106.3 million in Q1 2026, and $105.9 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Sunbelt Rentals Holdings | 30.16 Bn | 30.13 Bn | 1.25 Bn |
| 2 | Herc Holdings | 4.52 Bn | 4.48 Bn | 713.00 Mn |
| 3 | EquipmentShare.com | 3.88 Bn | 3.43 Bn | 411.00 Mn |
| 4 | WillScot Holdings | 3.29 Bn | 3.29 Bn | 306.26 Mn |
| 5 | Mcgrath Rentcorp | 2.71 Bn | 2.71 Bn | 107.91 Mn |
| 6 | Target Hospitality | 2.13 Bn | 2.12 Bn | 15.80 Mn |
| 7 | Custom Truck One Source | 2.12 Bn | 2.11 Bn | 123.97 Mn |
| 8 | NPK International | 1.08 Bn | 1.07 Bn | 30.16 Mn |
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 | 37.43 Mn |
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_KEY
import 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();