Custom Truck One Source (CTOS) Operating Expenses (2017 - 2026)
Custom Truck One Source's (CTOS) quarterly Operating Expenses came in at $77.4 million in Q2 2026, up 3.68% year-over-year from $74.6 million in Q2 2025, and up 8.05% quarter-over-quarter from $71.6 million in Q1 2026.
Custom Truck One Source (CTOS) Operating Expenses (2017 - 2026) Analysis & Trends
Custom Truck One Source has disclosed Operating Expenses across 10 years of filings, most recently posting $77.4 million for Q2 2026.
- In Q2 2026, Operating Expenses rose 3.68% year-over-year to $77.4 million; the TTM figure through Jun 2026 stood at $288.2 million (up 7.64% YoY), while the FY2025 annual figure was $286.9 million, up 8.73% from the prior year.
- Operating Expenses came in at $77.4 million for Q2 2026 at Custom Truck One Source, up from $71.6 million in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $77.4 million in Q2 2026 to a low of $51.2 million in Q4 2024.
- Average Operating Expenses over 5 years is $70.2 million, with a median of $71.3 million recorded in 2024.
- Year-over-year, Operating Expenses jumped 220.91% in 2022 and tumbled 30.22% in 2024.
- Over 5 years, Operating Expenses stood at $76.7 million in 2022, then slipped by 4.34% to $73.4 million in 2023, then tumbled by 30.22% to $51.2 million in 2024, then jumped by 38.88% to $71.1 million in 2025, then climbed by 8.83% to $77.4 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $77.4 million in Q2 2026, $71.6 million in Q1 2026, and $71.1 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Sunbelt Rentals Holdings | 30.16 Bn | 30.13 Bn | 1.25 Bn | 989.00 Mn |
| 2 | Herc Holdings | 4.52 Bn | 4.48 Bn | 713.00 Mn | 158.00 Mn |
| 3 | EquipmentShare.com | 3.88 Bn | 3.43 Bn | 411.00 Mn | 332.00 Mn |
| 4 | WillScot Holdings | 3.29 Bn | 3.29 Bn | 306.26 Mn | 165.71 Mn |
| 5 | Mcgrath Rentcorp | 2.71 Bn | 2.71 Bn | 107.91 Mn | 56.44 Mn |
| 6 | Target Hospitality | 2.13 Bn | 2.12 Bn | 15.80 Mn | 18.75 Mn |
| 7 | Custom Truck One Source | 2.12 Bn | 2.11 Bn | 123.97 Mn | 77.36 Mn |
| 8 | NPK International | 1.08 Bn | 1.07 Bn | 30.16 Mn | 14.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.36 Mn |
| Mar 31, 2026 | 71.59 Mn |
| Dec 31, 2025 | 71.08 Mn |
| Sep 30, 2025 | 68.12 Mn |
| Jun 30, 2025 | 74.61 Mn |
| Mar 31, 2025 | 73.13 Mn |
| Dec 31, 2024 | 51.18 Mn |
| Sep 30, 2024 | 68.79 Mn |
| Jun 30, 2024 | 71.59 Mn |
| Mar 31, 2024 | 72.34 Mn |
| Dec 31, 2023 | 73.35 Mn |
| Sep 30, 2023 | 69.15 Mn |
| Jun 30, 2023 | 71.04 Mn |
| Mar 31, 2023 | 69.77 Mn |
| Dec 31, 2022 | 76.68 Mn |
| Sep 30, 2022 | 65.07 Mn |
| Jun 30, 2022 | 64.01 Mn |
| Mar 31, 2022 | 74.69 Mn |
| Dec 31, 2021 | 68.01 Mn |
| Sep 30, 2021 | 70.57 Mn |
Custom Truck One Source Operating Expenses 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-expenses&ticker=CTOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();