OneWater Marine (ONEW) Long-Term Debt Repayments (2018 - 2026)
OneWater Marine's Long-Term Debt Repayments was $8.15 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 16.9% from $9.81 million a year earlier and down 85.9% from the prior quarter.
OneWater Marine (ONEW) Long-Term Debt Repayments (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, OneWater Marine's Long-Term Debt Repayments was $95.99 million through Jun 30, 2026, up 164.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $42.15 million, down 46.2% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -19.1% (FY2020 to FY2025).
- In earlier fiscal years, Long-Term Debt Repayments was $78.38 million in FY2024 (+327.4%), $18.34 million in FY2023 (-79.2%), $88.03 million in FY2022 (+891.6%) and $8.88 million in FY2021 (-92.7%).
- The fiscal Q3 2026 figure marks the lowest quarterly Long-Term Debt Repayments since fiscal Q1 2025.
- Compared with a year earlier, Long-Term Debt Repayments was higher in three of the last seven quarters, with growth averaging 81.4%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q1 2026 (growth of 332.4%); the worst was fiscal Q4 2023 (a decline of 99.2%).
- Per Business Quant data, ONEW's Long-Term Debt Repayments in the three fiscal quarters before Q3 2026 was $57.91 million (Q2 2026), $14.85 million (Q1 2026) and $15.08 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 21.00 Mn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | - |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 38.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 21.00 Mn |
| 10 | OneWater Marine | 155.21 Mn | 155.21 Mn | 127.48 Mn | 8.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.18 Mn |
| Mar 31, 2026 | 57.92 Mn |
| Dec 31, 2025 | 14.95 Mn |
| Sep 30, 2025 | 15.08 Mn |
| Jun 30, 2025 | 9.81 Mn |
| Mar 31, 2025 | 13.82 Mn |
| Dec 31, 2024 | 3.43 Mn |
| Sep 30, 2024 | 9.27 Mn |
| Jun 30, 2024 | 10.24 Mn |
| Mar 31, 2024 | 20.41 Mn |
| Dec 31, 2023 | 38.46 Mn |
| Sep 30, 2023 | 582,000.00 |
| Jun 30, 2023 | 5.88 Mn |
| Mar 31, 2023 | 11.50 Mn |
| Dec 31, 2022 | 379,000.00 |
| Sep 30, 2022 | 69.94 Mn |
| Jun 30, 2022 | 4.25 Mn |
| Mar 31, 2022 | 8.34 Mn |
| Dec 31, 2021 | 5.51 Mn |
| Sep 30, 2021 | 1.64 Mn |
OneWater Marine 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=ONEW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "ONEW", "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=ONEW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();