Outdoor Holding (POWW) Return on Sales [ROS] (2017 - 2026)
Outdoor Holding's Return on Sales [ROS] was 22.76% in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 73.45 percentage points from -50.69% a year earlier and up 44.03 percentage points from the prior quarter.
Outdoor Holding (POWW) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Outdoor Holding's Return on Sales [ROS] was 5.61% through Jun 30, 2026, up 127.07 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at -12.31%, up 108.57 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of -3.70 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was -120.87% in FY2025 (-108.93 pp), -11.94% in FY2024 (-15.69 pp), 3.75% in FY2023 (-8.12 pp) and 11.87% in FY2022 (+20.48 pp).
- The fiscal Q1 2027 figure marks the highest quarterly Return on Sales [ROS] since fiscal Q2 2022.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +15.14 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q4 2026 (a gain of 192.30 percentage points); the worst was fiscal Q4 2025 (a drop of 198.64 percentage points).
- Per Business Quant data, POWW's Return on Sales [ROS] in the three fiscal quarters before Q1 2027 was -21.27% (Q4 2026), 14.68% (Q3 2026) and 5.90% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 31.81% |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 20.10% |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 34.63% |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 5.64% |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 15.18% |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 9.80% |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 78.22% |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 13.52% |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 38.43% |
| 10 | Outdoor Holding | 268.00 Mn | -4.41 Mn | 12.24 Mn | 22.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.76% |
| Mar 31, 2026 | -21.27% |
| Dec 31, 2025 | 14.68% |
| Sep 30, 2025 | 5.90% |
| Jun 30, 2025 | -50.69% |
| Mar 31, 2025 | -213.57% |
| Dec 31, 2024 | -163.80% |
| Sep 30, 2024 | -50.28% |
| Jun 30, 2024 | -50.77% |
| Mar 31, 2024 | -14.93% |
| Dec 31, 2023 | -7.16% |
| Sep 30, 2023 | -26.22% |
| Jun 30, 2023 | -5.83% |
| Mar 31, 2023 | 3.75% |
| Dec 31, 2022 | -11.19% |
| Sep 30, 2022 | -1.04% |
| Jun 30, 2022 | 8.33% |
| Mar 31, 2022 | -8.55% |
| Dec 31, 2021 | 16.40% |
| Sep 30, 2021 | 23.32% |
Outdoor Holding Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=POWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "POWW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=POWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();