OneWater Marine (ONEW) Cash & Equivalents (2018 - 2026)
OneWater Marine's Cash & Equivalents came in at $58.21 million for fiscal Q1 2023 (quarter ended Dec 31, 2022), down 22.1% from $74.77 million a year earlier and down 4.5% from the prior quarter.
OneWater Marine (ONEW) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2022 (ended Sep 30, 2022), OneWater Marine's Cash & Equivalents was $60.95 million, down 17.6% from FY2021.
- Cash & Equivalents carries a four-year compound annual growth rate of 40.2% (FY2018 to FY2022).
- Going back by fiscal year, Cash & Equivalents was $73.95 million in FY2021 (+8.5%), $68.15 million in FY2020 (+493.0%), $11.49 million in FY2019 (-27.1%) and $15.76 million in FY2018.
- The fiscal Q1 2023 figure represents the lowest quarterly Cash & Equivalents since fiscal Q1 2021.
- Year-over-year, Cash & Equivalents has declined for three consecutive quarters, with growth averaging 57.8% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2020 (growth of 493.0%), and the weakest in fiscal Q1 2023 (a decline of 22.1%).
- Business Quant data shows ONEW's Cash & Equivalents at $60.95 million (Q4 2022), $111.9 million (Q3 2022) and $88.96 million (Q2 2022) in the three fiscal quarters before Q1 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 55.78 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 3.05 Bn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 4.29 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | - |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 194.45 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 326.12 Mn |
| 10 | OneWater Marine | 164.54 Mn | -56.93 Mn | 127.48 Mn | 68.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.71 Mn |
| Mar 31, 2026 | 68.36 Mn |
| Dec 31, 2025 | 32.23 Mn |
| Sep 30, 2025 | 52.17 Mn |
| Jun 30, 2025 | 70.15 Mn |
| Mar 31, 2025 | 67.46 Mn |
| Dec 31, 2024 | 22.71 Mn |
| Sep 30, 2024 | 16.85 Mn |
| Jun 30, 2024 | 41.03 Mn |
| Mar 31, 2024 | 47.00 Mn |
| Dec 31, 2023 | 44.57 Mn |
| Sep 30, 2023 | 84.65 Mn |
| Jun 30, 2023 | 45.41 Mn |
| Mar 31, 2023 | 60.98 Mn |
| Dec 31, 2022 | 58.21 Mn |
| Sep 30, 2022 | 60.95 Mn |
| Jun 30, 2022 | 111.90 Mn |
| Mar 31, 2022 | 88.96 Mn |
| Dec 31, 2021 | 74.77 Mn |
| Sep 30, 2021 | 73.95 Mn |
OneWater Marine Cash & Equivalents 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=cash-and-equivalents&ticker=ONEW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ONEW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();