Outdoor Holding (POWW) Operating Expenses (2011 - 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 (2011 - 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 | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Outdoor Holding | 265.68 Mn | -6.73 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();