Custom Truck One Source (CTOS) Cash & Equivalents (2017 - 2026)
Custom Truck One Source (CTOS) reported Cash & Equivalents of $10.29 million for Q2 2026, up 95.6% from $5.26 million a year earlier and up 7.1% from the prior quarter.
Custom Truck One Source (CTOS) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Custom Truck One Source posted Cash & Equivalents of $6.27 million, up 64.9% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $3.81 million in FY2024 (-63.1%), $10.31 million in FY2023 (-28.2%), $14.36 million in FY2022 (-60.0%) and $35.9 million in FY2021 (+952.2%).
- Five-year quarterly Cash & Equivalents spans a low of $3.81 million in Q4 2024 and a high of $42.23 million in Q2 2023.
- Year over year, Cash & Equivalents has now increased in each of the last four quarters, with growth averaging 19.9% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2021 (growth of 952.2%); the low point was Q2 2024 (a decline of 80.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9.61 million (Q1 2026), $6.27 million (Q4 2025) and $13.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.40 Bn | 64.16 Bn | 1.73 Bn | 112.00 Mn |
| 2 | W.W. Grainger | 63.07 Bn | 60.67 Bn | 1.98 Bn | 589.00 Mn |
| 3 | Fastenal | 59.20 Bn | 58.13 Bn | 1.06 Bn | 204.70 Mn |
| 4 | Ferguson Enterprises | 44.13 Bn | 41.34 Bn | 2.32 Bn | 820.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.58 Bn | 31.46 Bn | 1.25 Bn | 32.00 Mn |
| 6 | Reliance | 21.32 Bn | 20.36 Bn | 1.30 Bn | 235.40 Mn |
| 7 | Wesco International | 16.71 Bn | 14.03 Bn | 1.46 Bn | 808.90 Mn |
| 8 | Applied Industrial Technologies | 12.36 Bn | 12.23 Bn | 411.22 Mn | - |
| 9 | Watsco | 11.52 Bn | 9.20 Bn | 578.93 Mn | 364.19 Mn |
| 10 | Custom Truck One Source | 2.07 Bn | 2.03 Bn | 123.97 Mn | 10.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.29 Mn |
| Mar 31, 2026 | 9.61 Mn |
| Dec 31, 2025 | 6.27 Mn |
| Sep 30, 2025 | 13.06 Mn |
| Jun 30, 2025 | 5.26 Mn |
| Mar 31, 2025 | 5.38 Mn |
| Dec 31, 2024 | 3.81 Mn |
| Sep 30, 2024 | 8.44 Mn |
| Jun 30, 2024 | 8.06 Mn |
| Mar 31, 2024 | 7.99 Mn |
| Dec 31, 2023 | 10.31 Mn |
| Sep 30, 2023 | 8.79 Mn |
| Jun 30, 2023 | 42.23 Mn |
| Mar 31, 2023 | 32.22 Mn |
| Dec 31, 2022 | 14.36 Mn |
| Sep 30, 2022 | 26.17 Mn |
| Jun 30, 2022 | 28.52 Mn |
| Mar 31, 2022 | 23.81 Mn |
| Dec 31, 2021 | 35.90 Mn |
| Sep 30, 2021 | 21.09 Mn |
Custom Truck One Source Cash & Equivalents 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=cash-and-equivalents&ticker=CTOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();