Evi Industries (EVI) Long-Term Debt Repayments (2020 - 2026)
Evi Industries' Long-Term Debt Repayments was $19 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 17.4% from $23 million a year earlier and unchanged from the prior quarter.
Evi Industries (EVI) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Long-Term Debt Repayments at Evi Industries came in at $85 million, up 28.8% from FY2025.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 6.3% (FY2021 to FY2026).
- In earlier fiscal years, Long-Term Debt Repayments was $66 million in FY2025 (-21.9%), $84.5 million in FY2024 (+20.7%), $70 million in FY2023 (+42.9%) and $49 million in FY2022 (-21.6%).
- Quarterly Long-Term Debt Repayments has moved between $7 million (fiscal Q1 2022) and $30 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in four of the last eight quarters, with growth averaging 6.3%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q1 2024 (growth of 185.7%); the worst was fiscal Q1 2022 (a decline of 65.0%).
- Per Business Quant data, EVI's Long-Term Debt Repayments in the three fiscal quarters before Q4 2026 was $19 million (Q3 2026), $30 million (Q2 2026) and $17 million (Q1 2026).
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 | Evi Industries | 252.36 Mn | 232.36 Mn | 38.48 Mn | 19.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.00 Mn |
| Mar 31, 2026 | 19.00 Mn |
| Dec 31, 2025 | 30.00 Mn |
| Sep 30, 2025 | 17.00 Mn |
| Jun 30, 2025 | 23.00 Mn |
| Mar 31, 2025 | 13.00 Mn |
| Dec 31, 2024 | 18.00 Mn |
| Sep 30, 2024 | 12.00 Mn |
| Jun 30, 2024 | 22.00 Mn |
| Mar 31, 2024 | 23.00 Mn |
| Dec 31, 2023 | 19.50 Mn |
| Sep 30, 2023 | 20.00 Mn |
| Jun 30, 2023 | 19.00 Mn |
| Mar 31, 2023 | 28.00 Mn |
| Dec 31, 2022 | 16.00 Mn |
| Sep 30, 2022 | 7.00 Mn |
| Jun 30, 2022 | 15.00 Mn |
| Mar 31, 2022 | 12.00 Mn |
| Dec 31, 2021 | 15.00 Mn |
| Sep 30, 2021 | 7.00 Mn |
Evi Industries 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=EVI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "EVI", "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=EVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();