Custom Truck One Source (CTOS) Accumulated Expenses (2017 - 2026)
Custom Truck One Source's (CTOS) quarterly Accumulated Expenses came in at $68.2 million in Q2 2026, down 22.38% year-over-year from $87.8 million in Q2 2025, and down 11.88% quarter-over-quarter from $77.4 million in Q1 2026.
Custom Truck One Source (CTOS) Accumulated Expenses (2017 - 2026) Analysis & Trends
Custom Truck One Source has disclosed Accumulated Expenses across 10 years of filings, most recently posting $68.2 million for Q2 2026.
- In Q2 2026, Accumulated Expenses fell 22.38% year-over-year to $68.2 million; the TTM figure through Jun 2026 stood at $68.2 million (down 22.38% YoY), while the FY2025 annual figure was $69.2 million, changed 0.17% from the prior year.
- Accumulated Expenses came in at $68.2 million for Q2 2026 at Custom Truck One Source, down from $77.4 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $91.6 million in Q3 2025 to a low of $52.4 million in Q2 2022.
- Average Accumulated Expenses over 5 years is $70.0 million, with a median of $69.3 million recorded in 2024.
- Year-over-year, Accumulated Expenses jumped 105.47% in 2022 and dropped 22.38% in 2026.
- Over 5 years, Accumulated Expenses stood at $68.8 million in 2022, then gained by 7.36% to $73.8 million in 2023, then declined by 6.09% to $69.3 million in 2024, then fell by 0.17% to $69.2 million in 2025, then dropped by 1.52% to $68.2 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $68.2 million in Q2 2026, $77.4 million in Q1 2026, and $69.2 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 | 68.18 Mn |
| Mar 31, 2026 | 77.37 Mn |
| Dec 31, 2025 | 69.23 Mn |
| Sep 30, 2025 | 91.60 Mn |
| Jun 30, 2025 | 87.84 Mn |
| Mar 31, 2025 | 80.72 Mn |
| Dec 31, 2024 | 69.35 Mn |
| Sep 30, 2024 | 58.41 Mn |
| Jun 30, 2024 | 53.35 Mn |
| Mar 31, 2024 | 67.18 Mn |
| Dec 31, 2023 | 73.85 Mn |
| Sep 30, 2023 | 72.55 Mn |
| Jun 30, 2023 | 67.04 Mn |
| Mar 31, 2023 | 70.11 Mn |
| Dec 31, 2022 | 68.78 Mn |
| Sep 30, 2022 | 70.57 Mn |
| Jun 30, 2022 | 52.40 Mn |
| Mar 31, 2022 | 61.96 Mn |
| Dec 31, 2021 | 60.34 Mn |
| Sep 30, 2021 | 68.80 Mn |
Custom Truck One Source Accumulated 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=accumulated-expenses&ticker=CTOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();