Custom Truck One Source (CTOS) Total Liabilities (2017 - 2026)
Custom Truck One Source (CTOS) recorded Total Liabilities of $2.79 billion in Q2 2026, up 0.1% from $2.79 billion a year earlier and up 1.7% from the prior quarter.
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Analysis
Custom Truck One Source (CTOS) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Custom Truck One Source reported Total Liabilities of $2.63 billion, down 0.3% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 26.9% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $2.64 billion in FY2024 (+7.8%), $2.45 billion in FY2023 (+19.6%), $2.05 billion in FY2022 (+12.3%) and $1.83 billion in FY2021 (+128.3%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q2 2017.
- On a year-over-year basis, Total Liabilities rose in seven of the last eight quarters, with growth averaging 4.8%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 130.5% in Q1 2022, against a decline of 0.3% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.74 billion (Q1 2026), $2.63 billion (Q4 2025) and $2.76 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.10 Bn | 63.86 Bn | 1.73 Bn | 22.09 Bn |
| 2 | W.W. Grainger | 62.89 Bn | 60.48 Bn | 1.98 Bn | 5.11 Bn |
| 3 | Fastenal | 59.17 Bn | 58.09 Bn | 1.06 Bn | 1.22 Bn |
| 4 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 11.92 Bn |
| 5 | Sunbelt Rentals Holdings | 31.49 Bn | 31.37 Bn | 1.25 Bn | 16.17 Bn |
| 6 | Reliance | 21.24 Bn | 20.28 Bn | 1.30 Bn | 3.75 Bn |
| 7 | Wesco International | 16.73 Bn | 14.05 Bn | 1.46 Bn | 12.59 Bn |
| 8 | Applied Industrial Technologies | 12.39 Bn | 12.26 Bn | 411.22 Mn | 1.15 Bn |
| 9 | Watsco | 11.47 Bn | 9.15 Bn | 578.93 Mn | 1.61 Bn |
| 10 | Custom Truck One Source | 2.08 Bn | 2.04 Bn | 123.97 Mn | 2.79 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.79 Bn |
| Mar 31, 2026 | 2.74 Bn |
| Dec 31, 2025 | 2.63 Bn |
| Sep 30, 2025 | 2.76 Bn |
| Jun 30, 2025 | 2.79 Bn |
| Mar 31, 2025 | 2.73 Bn |
| Dec 31, 2024 | 2.64 Bn |
| Sep 30, 2024 | 2.74 Bn |
| Jun 30, 2024 | 2.67 Bn |
| Mar 31, 2024 | 2.55 Bn |
| Dec 31, 2023 | 2.45 Bn |
| Sep 30, 2023 | 2.31 Bn |
| Jun 30, 2023 | 2.22 Bn |
| Mar 31, 2023 | 2.16 Bn |
| Dec 31, 2022 | 2.05 Bn |
| Sep 30, 2022 | 1.99 Bn |
| Jun 30, 2022 | 1.94 Bn |
| Mar 31, 2022 | 1.89 Bn |
| Dec 31, 2021 | 1.83 Bn |
| Sep 30, 2021 | 1.82 Bn |
API Access
Custom Truck One Source Total 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-liabilities&ticker=CTOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();