Custom Truck One Source (CTOS) Accumulated Expenses (2017 - 2026)
Custom Truck One Source's Accumulated Expenses came in at $68.18 million for Q2 2026, down 22.4% from $87.84 million a year earlier and down 11.9% from the prior quarter.
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Analysis
Custom Truck One Source (CTOS) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Custom Truck One Source's Accumulated Expenses was $69.23 million, down 0.2% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $69.35 million in FY2024 (-6.1%), $73.85 million in FY2023 (+7.4%), $68.78 million in FY2022 (+14.0%) and $60.34 million in FY2021 (+88.6%).
- The Q2 2026 figure represents the lowest quarterly Accumulated Expenses since Q3 2024.
- Year-over-year, Accumulated Expenses has declined for three consecutive quarters, with growth averaging 11.2% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2021 (growth of 335.3%), and the weakest in Q2 2026 (a decline of 22.4%).
- Business Quant data shows CTOS's Accumulated Expenses at $77.37 million (Q1 2026), $69.23 million (Q4 2025) and $91.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 67.27 Bn | 66.03 Bn | 1.73 Bn |
| 2 | W.W. Grainger | 62.50 Bn | 60.09 Bn | 1.98 Bn |
| 3 | Fastenal | 59.17 Bn | 58.16 Bn | 1.10 Bn |
| 4 | Ferguson Enterprises | 43.47 Bn | 40.68 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 31.70 Bn | 31.58 Bn | 1.25 Bn |
| 6 | Reliance | 21.17 Bn | 20.20 Bn | 1.30 Bn |
| 7 | Wesco International | 15.40 Bn | 12.72 Bn | 1.46 Bn |
| 8 | Watsco | 11.96 Bn | 9.65 Bn | 578.93 Mn |
| 9 | Applied Industrial Technologies | 11.84 Bn | 11.71 Bn | 411.22 Mn |
| 10 | Custom Truck One Source | 2.04 Bn | 2.00 Bn | 123.97 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();