Custom Truck One Source (CTOS) EBIT (2017 - 2026)
Custom Truck One Source's EBIT was $46.62 million in Q2 2026, up 66.9% from $27.93 million a year earlier and up 48.1% from the prior quarter.
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Analysis
Custom Truck One Source (CTOS) EBIT (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Custom Truck One Source's EBIT was $162.69 million through Jun 30, 2026, up 24.5% year-over-year; for FY2025, it came in at $124.94 million, down 1.1% from FY2024.
- EBIT shows a five-year compound annual growth rate of 48.6% (FY2020 to FY2025).
- In earlier years, EBIT was $126.36 million in FY2024 (-26.1%), $170.95 million in FY2023 (+65.5%), $103.31 million in FY2022 and -$41.97 million in FY2021.
- Quarterly EBIT has moved between -$5.32 million (Q3 2021) and $67.28 million (Q4 2024) over five years.
- Compared with a year earlier, EBIT was higher in five of the last eight quarters, with growth averaging 31.4%.
- The best year-over-year quarter for EBIT over five years was Q4 2022 (growth of 424.8%); the worst was Q2 2024 (a decline of 55.3%).
- Per Business Quant data, CTOS's EBIT in the three quarters before Q2 2026 was $31.47 million (Q1 2026), $51.98 million (Q4 2025) and $32.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.18 Bn | 63.94 Bn | 1.73 Bn | 1.14 Bn |
| 2 | W.W. Grainger | 62.78 Bn | 60.38 Bn | 1.98 Bn | 807.00 Mn |
| 3 | Fastenal | 59.20 Bn | 58.13 Bn | 1.06 Bn | 501.80 Mn |
| 4 | Ferguson Enterprises | 44.06 Bn | 41.28 Bn | 2.32 Bn | 612.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.46 Bn | 31.34 Bn | 1.25 Bn | 691.00 Mn |
| 6 | Reliance | 21.26 Bn | 20.29 Bn | 1.30 Bn | 441.60 Mn |
| 7 | Wesco International | 16.68 Bn | 14.00 Bn | 1.46 Bn | 382.20 Mn |
| 8 | Applied Industrial Technologies | 12.35 Bn | 12.22 Bn | 411.22 Mn | 159.31 Mn |
| 9 | Watsco | 11.50 Bn | 9.19 Bn | 578.93 Mn | 238.37 Mn |
| 10 | Custom Truck One Source | 2.08 Bn | 2.04 Bn | 123.97 Mn | 46.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.62 Mn |
| Mar 31, 2026 | 31.47 Mn |
| Dec 31, 2025 | 51.98 Mn |
| Sep 30, 2025 | 32.63 Mn |
| Jun 30, 2025 | 27.93 Mn |
| Mar 31, 2025 | 12.41 Mn |
| Dec 31, 2024 | 67.28 Mn |
| Sep 30, 2024 | 23.04 Mn |
| Jun 30, 2024 | 17.67 Mn |
| Mar 31, 2024 | 18.37 Mn |
| Dec 31, 2023 | 53.47 Mn |
| Sep 30, 2023 | 38.01 Mn |
| Jun 30, 2023 | 39.58 Mn |
| Mar 31, 2023 | 39.89 Mn |
| Dec 31, 2022 | 51.65 Mn |
| Sep 30, 2022 | 23.11 Mn |
| Jun 30, 2022 | 18.75 Mn |
| Mar 31, 2022 | 9.81 Mn |
| Dec 31, 2021 | 9.84 Mn |
| Sep 30, 2021 | -5.32 Mn |
API Access
Custom Truck One Source EBIT 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=ebit&ticker=CTOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();