Outdoor Holding (POWW) Other Accumulated Expenses (2011 - 2026)
Outdoor Holding's Other Accumulated Expenses was $851,951 in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 48.2% from $1.65 million a year earlier but up 31.1% from the prior quarter.
Outdoor Holding (POWW) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Other Accumulated Expenses at Outdoor Holding came in at $650,000, down 3.7% from FY2025.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- In earlier fiscal years, Other Accumulated Expenses was $674,735 in FY2025 (+147.2%), $272,926 in FY2024 (-87.1%), $2.12 million in FY2023 (-12.0%) and $2.41 million in FY2022 (+367.7%).
- Quarterly Other Accumulated Expenses has moved between $119,449 (fiscal Q3 2023) and $2.41 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, Other Accumulated Expenses was higher in four of the last eight quarters, with growth averaging 57.0%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q4 2022 (growth of 367.7%); the worst was fiscal Q4 2024 (a decline of 87.1%).
- Per Business Quant data, POWW's Other Accumulated Expenses in the three fiscal quarters before Q1 2027 was $650,000 (Q4 2026), $1.37 million (Q3 2026) and $972,058 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn |
| 10 | Outdoor Holding | 265.68 Mn | -6.73 Mn | 12.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 851,951.00 |
| Mar 31, 2026 | 650,000.00 |
| Dec 31, 2025 | 1.37 Mn |
| Sep 30, 2025 | 972,058.00 |
| Jun 30, 2025 | 1.65 Mn |
| Mar 31, 2025 | 674,735.00 |
| Dec 31, 2024 | 621,042.00 |
| Sep 30, 2024 | 968,644.00 |
| Jun 30, 2024 | 1.68 Mn |
| Mar 31, 2024 | 272,926.00 |
| Dec 31, 2023 | 173,029.00 |
| Sep 30, 2023 | 1.16 Mn |
| Jun 30, 2023 | 2.20 Mn |
| Mar 31, 2023 | 2.12 Mn |
| Dec 31, 2022 | 119,449.00 |
| Sep 30, 2022 | 701,336.00 |
| Jun 30, 2022 | 1.50 Mn |
| Mar 31, 2022 | 2.41 Mn |
| Dec 31, 2021 | 285,718.00 |
| Sep 30, 2021 | 1.13 Mn |
Outdoor Holding Other Accumulated 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-accumulated-expenses&ticker=POWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=POWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();