Custom Truck One Source (CTOS) Amortization - Intangibles (2018 - 2026)
Custom Truck One Source's Amortization - Intangibles came in at $6.68 million for Q2 2026, down 3.3% from $6.91 million a year earlier and unchanged from the prior quarter.
Custom Truck One Source (CTOS) Amortization - Intangibles (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Custom Truck One Source reported Amortization - Intangibles of $26.73 million, down 0.9% year-over-year; for FY2025, it was $26.96 million, up 1.1% from FY2024.
- Amortization - Intangibles carries a five-year compound annual growth rate of 53.6% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $26.65 million in FY2024 (-1.7%), $27.11 million in FY2023 (-20.1%), $33.94 million in FY2022 (-16.7%) and $40.75 million in FY2021.
- The five-year range for quarterly Amortization - Intangibles is $6.58 million (Q1 2024) to $13.34 million (Q1 2022).
- Year-over-year, Amortization - Intangibles increased in three of the last eight quarters, with an average decline of 0.6%.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q2 2025 (growth of 3.3%), and the weakest in Q1 2023 (a decline of 50.0%).
- Business Quant data shows CTOS's Amortization - Intangibles at $6.69 million (Q1 2026), $6.68 million (Q4 2025) and $6.68 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 66.79 Bn | 65.55 Bn | 1.73 Bn |
| 2 | W.W. Grainger | 63.72 Bn | 61.32 Bn | 1.98 Bn |
| 3 | Fastenal | 60.28 Bn | 59.28 Bn | 1.10 Bn |
| 4 | Ferguson Enterprises | 44.38 Bn | 41.59 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 32.28 Bn | 32.16 Bn | 1.25 Bn |
| 6 | Reliance | 21.45 Bn | 20.49 Bn | 1.30 Bn |
| 7 | Wesco International | 17.03 Bn | 14.34 Bn | 1.46 Bn |
| 8 | Applied Industrial Technologies | 12.67 Bn | 12.54 Bn | 411.22 Mn |
| 9 | Avantor | 11.71 Bn | 10.50 Bn | 537.00 Mn |
| 10 | Custom Truck One Source | 2.12 Bn | 2.08 Bn | 123.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.68 Mn |
| Mar 31, 2026 | 6.69 Mn |
| Dec 31, 2025 | 6.68 Mn |
| Sep 30, 2025 | 6.68 Mn |
| Jun 30, 2025 | 6.91 Mn |
| Mar 31, 2025 | 6.68 Mn |
| Dec 31, 2024 | 6.69 Mn |
| Sep 30, 2024 | 6.70 Mn |
| Jun 30, 2024 | 6.69 Mn |
| Mar 31, 2024 | 6.58 Mn |
| Dec 31, 2023 | 7.13 Mn |
| Sep 30, 2023 | 6.70 Mn |
| Jun 30, 2023 | 6.61 Mn |
| Mar 31, 2023 | 6.67 Mn |
| Dec 31, 2022 | 6.94 Mn |
| Sep 30, 2022 | 6.79 Mn |
| Jun 30, 2022 | 6.87 Mn |
| Mar 31, 2022 | 13.34 Mn |
| Dec 31, 2021 | 13.33 Mn |
| Sep 30, 2021 | 13.33 Mn |
Custom Truck One Source Amortization - 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=amortization-intangibles&ticker=CTOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();