Custom Truck One Source (CTOS) Intangibles (2018 - 2026)
Custom Truck One Source's Intangibles was $212.19 million in Q2 2026, down 11.3% from $239.15 million a year earlier and down 3.1% from the prior quarter.
Custom Truck One Source (CTOS) Intangibles (2018 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Custom Truck One Source came in at $225.73 million, down 10.6% from FY2024.
- Intangibles has now declined for four consecutive years, though with a five-year compound annual growth rate of 27.3% (FY2020 to FY2025).
- In earlier years, Intangibles was $252.39 million in FY2024 (-9.0%), $277.21 million in FY2023 (-8.9%), $304.13 million in FY2022 (-7.2%) and $327.84 million in FY2021 (+385.1%).
- The Q2 2026 figure marks the lowest quarterly Intangibles since Q4 2020.
- Compared with a year earlier, Intangibles has declined for 17 straight quarters, with an average decline of 10.0% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was Q4 2021 (growth of 385.1%); the worst was Q2 2026 (a decline of 11.3%).
- Per Business Quant data, CTOS's Intangibles in the three quarters before Q2 2026 was $218.97 million (Q1 2026), $225.73 million (Q4 2025) and $232.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 64.00 Bn | 62.76 Bn | 1.73 Bn | 561.00 Mn |
| 2 | W.W. Grainger | 62.60 Bn | 60.20 Bn | 1.98 Bn | 272.00 Mn |
| 3 | Fastenal | 59.04 Bn | 57.97 Bn | 1.06 Bn | - |
| 4 | Ferguson Enterprises | 43.54 Bn | 40.75 Bn | 2.32 Bn | 653.00 Mn |
| 5 | Sunbelt Rentals Holdings | 30.90 Bn | 30.78 Bn | 1.25 Bn | 383.00 Mn |
| 6 | Reliance | 21.10 Bn | 20.13 Bn | 1.30 Bn | 945.00 Mn |
| 7 | Wesco International | 16.49 Bn | 13.81 Bn | 1.46 Bn | 1.72 Bn |
| 8 | Applied Industrial Technologies | 12.28 Bn | 12.16 Bn | 411.22 Mn | 312.81 Mn |
| 9 | Watsco | 11.33 Bn | 9.02 Bn | 578.93 Mn | 205.25 Mn |
| 10 | Custom Truck One Source | 2.04 Bn | 2.00 Bn | 123.97 Mn | 212.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 212.19 Mn |
| Mar 31, 2026 | 218.97 Mn |
| Dec 31, 2025 | 225.73 Mn |
| Sep 30, 2025 | 232.33 Mn |
| Jun 30, 2025 | 239.15 Mn |
| Mar 31, 2025 | 245.71 Mn |
| Dec 31, 2024 | 252.39 Mn |
| Sep 30, 2024 | 259.50 Mn |
| Jun 30, 2024 | 266.14 Mn |
| Mar 31, 2024 | 270.46 Mn |
| Dec 31, 2023 | 277.21 Mn |
| Sep 30, 2023 | 284.15 Mn |
| Jun 30, 2023 | 291.05 Mn |
| Mar 31, 2023 | 297.49 Mn |
| Dec 31, 2022 | 304.13 Mn |
| Sep 30, 2022 | 310.89 Mn |
| Jun 30, 2022 | 318.66 Mn |
| Mar 31, 2022 | 314.51 Mn |
| Dec 31, 2021 | 327.84 Mn |
| Sep 30, 2021 | 341.16 Mn |
Custom Truck One Source Intangibles 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=intangibles&ticker=CTOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();