Custom Truck One Source (CTOS) Long-Term Debt Repayments (2018 - 2026)
Custom Truck One Source (CTOS) recorded Long-Term Debt Repayments of $73.39 million in Q2 2026, up 34.7% from $54.47 million a year earlier and up 63.1% from the prior quarter.
Custom Truck One Source (CTOS) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
On a TTM basis, Custom Truck One Source's Long-Term Debt Repayments came in at $292.62 million as of Jun 30, 2026, up 33.4% year-over-year; for FY2025, it came in at $230.92 million, up 2.5% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 22.1% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $225.21 million in FY2024 (+111.7%), $106.38 million in FY2023 (-3.5%), $110.25 million in FY2022 (-68.2%) and $347.11 million in FY2021 (+307.4%).
- Quarterly Long-Term Debt Repayments has ranged from $101,000 in Q2 2022 to $132.64 million in Q4 2024 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in five of the last seven quarters, with growth averaging 60.8%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 238.8% in Q1 2024, against a decline of 95.0% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $45 million (Q1 2026), $95.92 million (Q4 2025) and $78.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.40 Bn | 64.16 Bn | 1.73 Bn | 2.15 Bn |
| 2 | W.W. Grainger | 63.07 Bn | 60.67 Bn | 1.98 Bn | 3.00 Mn |
| 3 | Fastenal | 59.20 Bn | 58.13 Bn | 1.06 Bn | 365.00 Mn |
| 4 | Ferguson Enterprises | 44.13 Bn | 41.34 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 31.58 Bn | 31.46 Bn | 1.25 Bn | 1.21 Bn |
| 6 | Reliance | 21.32 Bn | 20.36 Bn | 1.30 Bn | 682.00 Mn |
| 7 | Wesco International | 16.71 Bn | 14.03 Bn | 1.46 Bn | 2.80 Bn |
| 8 | Applied Industrial Technologies | 12.36 Bn | 12.23 Bn | 411.22 Mn | -3,000.00 |
| 9 | Watsco | 11.52 Bn | 9.20 Bn | 578.93 Mn | 1.18 Mn |
| 10 | Custom Truck One Source | 2.07 Bn | 2.03 Bn | 123.97 Mn | 75.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.58 Mn |
| Mar 31, 2026 | 47.27 Mn |
| Dec 31, 2025 | 97.56 Mn |
| Sep 30, 2025 | 80.62 Mn |
| Jun 30, 2025 | 59.00 Mn |
| Mar 31, 2025 | 2.22 Mn |
| Dec 31, 2024 | 136.06 Mn |
| Sep 30, 2024 | 32.74 Mn |
| Jun 30, 2024 | 30.17 Mn |
| Mar 31, 2024 | 37.61 Mn |
| Dec 31, 2023 | 51.01 Mn |
| Sep 30, 2023 | 20.80 Mn |
| Jun 30, 2023 | 32.21 Mn |
| Mar 31, 2023 | 12.73 Mn |
| Dec 31, 2022 | 70.84 Mn |
| Sep 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | 2.38 Mn |
| Mar 31, 2022 | 38.99 Mn |
| Dec 31, 2021 | 51.36 Mn |
| Sep 30, 2021 | 1.80 Mn |
Custom Truck One Source Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CTOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=CTOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();