Custom Truck One Source (CTOS) Total Current Liabilities (2017 - 2026)
Custom Truck One Source's Total Current Liabilities was $987.04 million in Q2 2026, down 6.9% from $1.06 billion a year earlier but up 1.5% from the prior quarter.
Custom Truck One Source (CTOS) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Custom Truck One Source came in at $873.33 million, down 12.7% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 65.0% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $1 billion in FY2024 (+11.5%), $897.39 million in FY2023 (+41.3%), $634.88 million in FY2022 (+44.1%) and $440.58 million in FY2021 (+517.5%).
- Quarterly Total Current Liabilities has moved between $416.61 million (Q3 2021) and $1.1 billion (Q3 2024) over five years.
- Compared with a year earlier, Total Current Liabilities has declined for five straight quarters, with growth averaging 1.6% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q3 2021 (growth of 918.9%); the worst was Q4 2025 (a decline of 12.7%).
- Per Business Quant data, CTOS's Total Current Liabilities in the three quarters before Q2 2026 was $972.76 million (Q1 2026), $873.33 million (Q4 2025) and $989.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.23 Bn | 63.99 Bn | 1.73 Bn | 4.70 Bn |
| 2 | W.W. Grainger | 62.82 Bn | 60.42 Bn | 1.98 Bn | 2.14 Bn |
| 3 | Fastenal | 59.27 Bn | 58.19 Bn | 1.06 Bn | 881.80 Mn |
| 4 | Ferguson Enterprises | 43.93 Bn | 41.15 Bn | 2.32 Bn | 5.70 Bn |
| 5 | Sunbelt Rentals Holdings | 31.40 Bn | 31.28 Bn | 1.25 Bn | 2.72 Bn |
| 6 | Reliance | 21.34 Bn | 20.38 Bn | 1.30 Bn | 1.15 Bn |
| 7 | Wesco International | 16.79 Bn | 14.11 Bn | 1.46 Bn | 5.14 Bn |
| 8 | Applied Industrial Technologies | 12.40 Bn | 12.27 Bn | 411.22 Mn | 612.41 Mn |
| 9 | Watsco | 11.46 Bn | 9.15 Bn | 578.93 Mn | 1.08 Bn |
| 10 | Custom Truck One Source | 2.07 Bn | 2.03 Bn | 123.97 Mn | 987.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 987.04 Mn |
| Mar 31, 2026 | 972.76 Mn |
| Dec 31, 2025 | 873.33 Mn |
| Sep 30, 2025 | 989.49 Mn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | 1.02 Bn |
| Dec 31, 2024 | 1.00 Bn |
| Sep 30, 2024 | 1.10 Bn |
| Jun 30, 2024 | 1.06 Bn |
| Mar 31, 2024 | 993.14 Mn |
| Dec 31, 2023 | 897.39 Mn |
| Sep 30, 2023 | 824.96 Mn |
| Jun 30, 2023 | 729.29 Mn |
| Mar 31, 2023 | 711.33 Mn |
| Dec 31, 2022 | 634.88 Mn |
| Sep 30, 2022 | 562.38 Mn |
| Jun 30, 2022 | 531.26 Mn |
| Mar 31, 2022 | 490.91 Mn |
| Dec 31, 2021 | 440.58 Mn |
| Sep 30, 2021 | 416.61 Mn |
Custom Truck One Source Total Current Liabilities 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=total-current-liabilities&ticker=CTOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();