Outdoor Holding (POWW) Other Operating Expenses (2011 - 2026)
Outdoor Holding's Other Operating Expenses was $5.36 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 37.1% from $8.53 million a year earlier but up 3.8% from the prior quarter.
Outdoor Holding (POWW) Other Operating Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Outdoor Holding's Other Operating Expenses was $22.79 million through Jun 30, 2026, down 30.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $25.95 million, down 15.4% from FY2025.
- Other Operating Expenses shows a five-year compound annual growth rate of 31.2% (FY2021 to FY2026).
- In earlier fiscal years, Other Operating Expenses was $30.67 million in FY2025 (+30.3%), $23.54 million in FY2024 (-16.7%), $28.25 million in FY2023 (+198.6%) and $9.46 million in FY2022 (+41.8%).
- Quarterly Other Operating Expenses has moved between $1.91 million (fiscal Q3 2024) and $21.45 million (fiscal Q4 2023) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in five of the last eight quarters, with growth averaging 58.7%.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q4 2023 (growth of 725.2%); the worst was fiscal Q4 2024 (a decline of 72.3%).
- Per Business Quant data, POWW's Other Operating Expenses in the three fiscal quarters before Q1 2027 was $5.16 million (Q4 2026), $5.91 million (Q3 2026) and $6.35 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Outdoor Holding | 261.03 Mn | -11.37 Mn | 12.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.36 Mn |
| Mar 31, 2026 | 5.16 Mn |
| Dec 31, 2025 | 5.91 Mn |
| Sep 30, 2025 | 6.35 Mn |
| Jun 30, 2025 | 8.53 Mn |
| Mar 31, 2025 | 11.61 Mn |
| Dec 31, 2024 | 5.68 Mn |
| Sep 30, 2024 | 6.75 Mn |
| Jun 30, 2024 | 6.64 Mn |
| Mar 31, 2024 | 5.94 Mn |
| Dec 31, 2023 | 1.91 Mn |
| Sep 30, 2023 | 1.97 Mn |
| Jun 30, 2023 | 1.99 Mn |
| Mar 31, 2023 | 21.45 Mn |
| Dec 31, 2022 | 2.22 Mn |
| Sep 30, 2022 | 2.27 Mn |
| Jun 30, 2022 | 2.32 Mn |
| Mar 31, 2022 | 2.60 Mn |
| Dec 31, 2021 | 2.64 Mn |
| Sep 30, 2021 | 2.68 Mn |
Outdoor Holding Other 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=other-operating-expenses&ticker=POWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=POWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();