Custom Truck One Source (CTOS) EBITDA (2018 - 2026)
Custom Truck One Source (CTOS) posted EBITDA of $115.51 million for Q2 2026, up 22.9% from $93.96 million a year earlier and up 15.9% from the prior quarter.
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Analysis
Custom Truck One Source (CTOS) EBITDA (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Custom Truck One Source was $435.51 million, up 14.4% year-over-year; for FY2025, it was $388.82 million, up 7.3% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 29.8% (FY2020 to FY2025).
- In prior years, Custom Truck One Source's EBITDA was $362.2 million in FY2024 (-7.1%), $389.94 million in FY2023 (+19.3%), $326.79 million in FY2022 (+95.6%) and $167.11 million in FY2021 (+58.6%).
- Quarterly EBITDA has run from a low of $61.48 million in Q3 2021 to a high of $129.85 million in Q4 2024 over five years.
- On a year-over-year basis, EBITDA increased in five of the last eight quarters, with growth averaging 12.7%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2022, with growth of 363.6%; the weakest was Q2 2024, with a decline of 20.6%.
- According to Business Quant data, EBITDA for the three prior quarters was $99.68 million (Q1 2026), $120.85 million (Q4 2025) and $99.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.55 Bn | 65.31 Bn | 1.73 Bn | 1.26 Bn |
| 2 | W.W. Grainger | 63.97 Bn | 61.57 Bn | 1.98 Bn | 873.00 Mn |
| 3 | Fastenal | 60.57 Bn | 59.56 Bn | 1.10 Bn | 575.70 Mn |
| 4 | Ferguson Enterprises | 44.32 Bn | 41.53 Bn | 2.32 Bn | 709.00 Mn |
| 5 | Sunbelt Rentals Holdings | 32.59 Bn | 32.47 Bn | 1.25 Bn | 1.28 Bn |
| 6 | Reliance | 21.50 Bn | 20.54 Bn | 1.30 Bn | 511.10 Mn |
| 7 | Wesco International | 17.13 Bn | 14.45 Bn | 1.46 Bn | 444.90 Mn |
| 8 | Applied Industrial Technologies | 12.67 Bn | 12.55 Bn | 411.22 Mn | 175.57 Mn |
| 9 | Avantor | 11.67 Bn | 10.46 Bn | 537.00 Mn | 229.10 Mn |
| 10 | Custom Truck One Source | 2.13 Bn | 2.10 Bn | 123.97 Mn | 116.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.62 Mn |
| Mar 31, 2026 | 100.77 Mn |
| Dec 31, 2025 | 121.94 Mn |
| Sep 30, 2025 | 100.54 Mn |
| Jun 30, 2025 | 95.12 Mn |
| Mar 31, 2025 | 75.61 Mn |
| Dec 31, 2024 | 130.92 Mn |
| Sep 30, 2024 | 84.10 Mn |
| Jun 30, 2024 | 76.92 Mn |
| Mar 31, 2024 | 75.96 Mn |
| Dec 31, 2023 | 111.82 Mn |
| Sep 30, 2023 | 93.76 Mn |
| Jun 30, 2023 | 95.64 Mn |
| Mar 31, 2023 | 94.39 Mn |
| Dec 31, 2022 | 105.39 Mn |
| Sep 30, 2022 | 78.44 Mn |
| Jun 30, 2022 | 74.20 Mn |
| Mar 31, 2022 | 73.63 Mn |
| Dec 31, 2021 | 74.27 Mn |
| Sep 30, 2021 | 62.66 Mn |
API Access
Custom Truck One Source EBITDA 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=ebitda&ticker=CTOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();