Rush Enterprises Inc \Tx\ (RUSHA) Long-Term Debt Repayments (2010 - 2026)
Rush Enterprises Inc \Tx\ (RUSHA) reported Long-Term Debt Repayments of $5.64 million for Q2 2026, up 23.8% from $4.55 million a year earlier but down 6.2% from the prior quarter.
Rush Enterprises Inc \Tx\ (RUSHA) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Rush Enterprises Inc \Tx\'s Long-Term Debt Repayments came in at $21.19 million, up 27.7% year-over-year; for FY2025, it came in at $17.79 million, up 5.7% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $16.84 million in FY2024 (-4.8%), $17.69 million in FY2023 (+19.7%), $14.78 million in FY2022 (+7.3%) and $13.77 million in FY2021 (+23.1%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $2.88 million in Q2 2024 and a high of $6.01 million in Q1 2026.
- Year over year, Long-Term Debt Repayments has now increased in each of the last three quarters, with growth averaging 17.3% over the last eight quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q1 2022 (growth of 91.2%); the low point was Q3 2021 (a decline of 89.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.01 million (Q1 2026), $5.51 million (Q4 2025) and $4.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 64.18 Bn | 62.94 Bn | 1.73 Bn | 2.15 Bn |
| 2 | W.W. Grainger | 62.30 Bn | 59.90 Bn | 1.98 Bn | 3.00 Mn |
| 3 | Fastenal | 58.56 Bn | 57.48 Bn | 1.06 Bn | 365.00 Mn |
| 4 | Ferguson Enterprises | 44.07 Bn | 41.28 Bn | 2.32 Bn | - |
| 5 | Sunbelt Rentals Holdings | 31.19 Bn | 31.07 Bn | 1.25 Bn | 1.21 Bn |
| 6 | Reliance | 21.34 Bn | 20.38 Bn | 1.30 Bn | 682.00 Mn |
| 7 | Wesco International | 16.69 Bn | 14.00 Bn | 1.46 Bn | 2.80 Bn |
| 8 | Applied Industrial Technologies | 12.48 Bn | 12.35 Bn | 411.22 Mn | -3,000.00 |
| 9 | Watsco | 11.24 Bn | 8.93 Bn | 578.93 Mn | 1.18 Mn |
| 10 | Rush Enterprises Inc \Tx\ | 5.27 Bn | 4.31 Bn | 361.67 Mn | 5.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.64 Mn |
| Mar 31, 2026 | 6.01 Mn |
| Dec 31, 2025 | 5.51 Mn |
| Sep 30, 2025 | 4.04 Mn |
| Jun 30, 2025 | 4.55 Mn |
| Mar 31, 2025 | 3.69 Mn |
| Dec 31, 2024 | 4.28 Mn |
| Sep 30, 2024 | 4.07 Mn |
| Jun 30, 2024 | 2.88 Mn |
| Mar 31, 2024 | 5.61 Mn |
| Dec 31, 2023 | 4.25 Mn |
| Sep 30, 2023 | 4.11 Mn |
| Jun 30, 2023 | 4.87 Mn |
| Mar 31, 2023 | 4.47 Mn |
| Dec 31, 2022 | 3.69 Mn |
| Sep 30, 2022 | 2.98 Mn |
| Jun 30, 2022 | 4.11 Mn |
| Mar 31, 2022 | 4.00 Mn |
| Dec 31, 2021 | 3.15 Mn |
| Sep 30, 2021 | 4.26 Mn |
Rush Enterprises Inc \Tx\ 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=RUSHA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "RUSHA", "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=RUSHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();