OneWater Marine (ONEW) Operating Expenses (2018 - 2026)
OneWater Marine (ONEW) recorded Operating Expenses of $87.55 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 5.2% from $92.37 million a year earlier and down 5.1% from the prior quarter.
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Analysis
OneWater Marine (ONEW) Operating Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, OneWater Marine's Operating Expenses came in at $499.55 million as of Jun 30, 2026, up 46.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $507.82 million, up 41.3% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 27.5% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $359.37 million in FY2024 (-29.0%), $506.33 million in FY2023 (+62.9%), $310.91 million in FY2022 (+51.4%) and $205.32 million in FY2021 (+36.5%).
- The fiscal Q3 2026 figure is the lowest quarterly Operating Expenses since fiscal Q1 2025.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 16.2%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 191.3% in fiscal Q4 2023, against a decline of 65.5% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $92.26 million (Q2 2026), $88.78 million (Q1 2026) and $230.96 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | OneWater Marine | 162.21 Mn | 162.21 Mn | 127.48 Mn | 87.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.55 Mn |
| Mar 31, 2026 | 92.26 Mn |
| Dec 31, 2025 | 88.78 Mn |
| Sep 30, 2025 | 230.96 Mn |
| Jun 30, 2025 | 92.37 Mn |
| Mar 31, 2025 | 88.18 Mn |
| Dec 31, 2024 | 79.91 Mn |
| Sep 30, 2024 | 80.05 Mn |
| Jun 30, 2024 | 87.06 Mn |
| Mar 31, 2024 | 98.36 Mn |
| Dec 31, 2023 | 79.60 Mn |
| Sep 30, 2023 | 232.05 Mn |
| Jun 30, 2023 | 92.84 Mn |
| Mar 31, 2023 | 90.19 Mn |
| Dec 31, 2022 | 77.84 Mn |
| Sep 30, 2022 | 79.66 Mn |
| Jun 30, 2022 | 87.87 Mn |
| Mar 31, 2022 | 75.49 Mn |
| Dec 31, 2021 | 62.14 Mn |
| Sep 30, 2021 | 55.60 Mn |
API Access
OneWater Marine Operating Expenses 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=operating-expenses&ticker=ONEW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ONEW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();