Outdoor Holding (POWW) Operating Expenses (2009 - 2026)
Outdoor Holding (POWW) reported Operating Expenses of $8.95 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 45.3% from $16.35 million a year earlier and down 40.8% from the prior quarter.
Outdoor Holding (POWW) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Outdoor Holding's Operating Expenses came in at $43.49 million, down 57.4% year-over-year; for FY2026 (ended Mar 31, 2026), it was $50.89 million, down 50.4% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 24.9% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $102.65 million in FY2025 (+94.7%), $52.72 million in FY2024 (+2.0%), $51.67 million in FY2023 (-14.2%) and $60.19 million in FY2022 (+259.0%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Operating Expenses since fiscal Q4 2023.
- Year over year, Operating Expenses has now declined in each of the last five quarters, with growth averaging 7.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2022 (growth of 339.4%); the low point was fiscal Q3 2026 (a decline of 69.2%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $15.12 million (Q4 2026), $9.7 million (Q3 2026) and $9.73 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 87.00 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 51.61 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 1.50 Bn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 5.19 Bn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 1.21 Bn |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 13.32 Bn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 475.85 Mn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 645.39 Mn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 5.48 Bn |
| 10 | Outdoor Holding | 268.00 Mn | -4.41 Mn | 12.24 Mn | 8.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.95 Mn |
| Mar 31, 2026 | 15.12 Mn |
| Dec 31, 2025 | 9.70 Mn |
| Sep 30, 2025 | 9.73 Mn |
| Jun 30, 2025 | 16.35 Mn |
| Mar 31, 2025 | 37.97 Mn |
| Dec 31, 2024 | 31.46 Mn |
| Sep 30, 2024 | 16.44 Mn |
| Jun 30, 2024 | 16.77 Mn |
| Mar 31, 2024 | 15.42 Mn |
| Dec 31, 2023 | 13.48 Mn |
| Sep 30, 2023 | 17.29 Mn |
| Jun 30, 2023 | 16.01 Mn |
| Mar 31, 2023 | 8.39 Mn |
| Dec 31, 2022 | 16.86 Mn |
| Sep 30, 2022 | 13.34 Mn |
| Jun 30, 2022 | 13.07 Mn |
| Mar 31, 2022 | 27.00 Mn |
| Dec 31, 2021 | 11.91 Mn |
| Sep 30, 2021 | 11.99 Mn |
Outdoor Holding 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=POWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=POWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();