Custom Truck One Source (CTOS) Enterprise Value (2017 - 2026)
Custom Truck One Source's Enterprise Value was $2.68 billion in Q2 2026, up 140.3% from $1.11 billion a year earlier and up 80.8% from the prior quarter.
Custom Truck One Source (CTOS) Enterprise Value (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Custom Truck One Source's Enterprise Value was $2.65 billion through Jun 30, 2026, up 141.5% year-over-year; for FY2025, it was $1.3 billion, up 15.9% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of 29.3% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $1.12 billion in FY2024 (-26.9%), $1.53 billion in FY2023 (-1.3%), $1.55 billion in FY2022 (-20.0%) and $1.94 billion in FY2021 (+441.4%).
- The Q2 2026 figure marks the highest quarterly Enterprise Value in data going back to Q4 2017.
- Compared with a year earlier, Enterprise Value has increased for five straight quarters, with growth averaging 23.3% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q4 2021 (growth of 441.4%); the worst was Q3 2024 (a decline of 48.2%).
- Per Business Quant data, CTOS's Enterprise Value in the three quarters before Q2 2026 was $1.48 billion (Q1 2026), $1.3 billion (Q4 2025) and $1.44 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 65.43 Bn | 64.19 Bn | 1.73 Bn |
| 2 | W.W. Grainger | 62.91 Bn | 60.51 Bn | 1.98 Bn |
| 3 | Fastenal | 59.41 Bn | 58.33 Bn | 1.06 Bn |
| 4 | Ferguson Enterprises | 43.93 Bn | 41.14 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 31.67 Bn | 31.55 Bn | 1.25 Bn |
| 6 | Reliance | 21.42 Bn | 20.45 Bn | 1.30 Bn |
| 7 | Wesco International | 16.79 Bn | 14.10 Bn | 1.46 Bn |
| 8 | Applied Industrial Technologies | 12.44 Bn | 12.32 Bn | 411.22 Mn |
| 9 | Watsco | 11.53 Bn | 9.21 Bn | 578.93 Mn |
| 10 | Custom Truck One Source | 2.08 Bn | 2.04 Bn | 123.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.68 Bn |
| Mar 31, 2026 | 1.48 Bn |
| Dec 31, 2025 | 1.30 Bn |
| Sep 30, 2025 | 1.44 Bn |
| Jun 30, 2025 | 1.11 Bn |
| Mar 31, 2025 | 947.41 Mn |
| Dec 31, 2024 | 1.12 Bn |
| Sep 30, 2024 | 796.90 Mn |
| Jun 30, 2024 | 1.09 Bn |
| Mar 31, 2024 | 1.45 Bn |
| Dec 31, 2023 | 1.53 Bn |
| Sep 30, 2023 | 1.54 Bn |
| Jun 30, 2023 | 1.64 Bn |
| Mar 31, 2023 | 1.65 Bn |
| Dec 31, 2022 | 1.55 Bn |
| Sep 30, 2022 | 1.42 Bn |
| Jun 30, 2022 | 1.36 Bn |
| Mar 31, 2022 | 2.05 Bn |
| Dec 31, 2021 | 1.94 Bn |
| Sep 30, 2021 | 2.29 Bn |
Custom Truck One Source Enterprise Value 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=enterprise-value&ticker=CTOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();