Custom Truck One Source (CTOS) Capital Expenditures (2018 - 2026)
Custom Truck One Source's Capital Expenditures came in at $94.68 million for Q2 2026, down 16.5% from $113.37 million a year earlier and down 2.3% from the prior quarter.
Custom Truck One Source (CTOS) Capital Expenditures (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Custom Truck One Source reported Capital Expenditures of $423.27 million, down 7.7% year-over-year; for FY2025, it came in at $456.98 million, up 14.7% from FY2024.
- Capital Expenditures has increased in each of the last five years, with a five-year compound annual growth rate of 46.6% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $398.32 million in FY2024 (+9.4%), $364.19 million in FY2023 (+6.9%), $340.79 million in FY2022 (+80.9%) and $188.39 million in FY2021 (+178.9%).
- The Q2 2026 figure represents the lowest quarterly Capital Expenditures since Q2 2024.
- Year-over-year, Capital Expenditures has declined for three consecutive quarters, with growth averaging 18.5% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q4 2021 (growth of 465.9%), and the weakest in Q4 2023 (a decline of 36.5%).
- Business Quant data shows CTOS's Capital Expenditures at $96.91 million (Q1 2026), $108.06 million (Q4 2025) and $123.62 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.63 Bn | 64.39 Bn | 1.73 Bn | 2.05 Bn |
| 2 | W.W. Grainger | 63.00 Bn | 60.59 Bn | 1.98 Bn | 111.00 Mn |
| 3 | Fastenal | 59.50 Bn | 58.42 Bn | 1.06 Bn | 64.10 Mn |
| 4 | Ferguson Enterprises | 44.38 Bn | 41.59 Bn | 2.32 Bn | 92.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.63 Bn | 31.51 Bn | 1.25 Bn | 855.00 Mn |
| 6 | Reliance | 21.28 Bn | 20.32 Bn | 1.30 Bn | 93.40 Mn |
| 7 | Wesco International | 16.77 Bn | 14.08 Bn | 1.46 Bn | 28.20 Mn |
| 8 | Applied Industrial Technologies | 12.43 Bn | 12.30 Bn | 411.22 Mn | 5.25 Mn |
| 9 | Watsco | 11.49 Bn | 9.17 Bn | 578.93 Mn | 8.99 Mn |
| 10 | Custom Truck One Source | 2.08 Bn | 2.04 Bn | 123.97 Mn | 94.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.68 Mn |
| Mar 31, 2026 | 96.91 Mn |
| Dec 31, 2025 | 108.06 Mn |
| Sep 30, 2025 | 123.62 Mn |
| Jun 30, 2025 | 113.37 Mn |
| Mar 31, 2025 | 111.93 Mn |
| Dec 31, 2024 | 119.81 Mn |
| Sep 30, 2024 | 113.29 Mn |
| Jun 30, 2024 | 89.66 Mn |
| Mar 31, 2024 | 75.55 Mn |
| Dec 31, 2023 | 74.21 Mn |
| Sep 30, 2023 | 79.62 Mn |
| Jun 30, 2023 | 101.22 Mn |
| Mar 31, 2023 | 109.15 Mn |
| Dec 31, 2022 | 116.79 Mn |
| Sep 30, 2022 | 96.77 Mn |
| Jun 30, 2022 | 81.29 Mn |
| Mar 31, 2022 | 45.95 Mn |
| Dec 31, 2021 | 43.84 Mn |
| Sep 30, 2021 | 76.90 Mn |
Custom Truck One Source Capital Expenditures 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=capital-expenditures&ticker=CTOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();