Outdoor Holding (POWW) Accumulated Expenses (2010 - 2026)
Outdoor Holding's Accumulated Expenses came in at $2.22 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 61.2% from $5.71 million a year earlier and down 47.8% from the prior quarter.
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Analysis
Outdoor Holding (POWW) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Outdoor Holding's Accumulated Expenses was $4.24 million, down 88.7% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of 4.1% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $37.41 million in FY2025, $2.85 million in FY2024 (-35.0%), $4.39 million in FY2023 (-29.4%) and $6.21 million in FY2022 (+79.4%).
- The fiscal Q1 2027 figure represents the lowest quarterly Accumulated Expenses since fiscal Q4 2020.
- Year-over-year, Accumulated Expenses has declined for five consecutive quarters, with an average decline of 10.8% over the last seven quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2025 (growth of 267.2%), and the weakest in fiscal Q4 2026 (a decline of 88.7%).
- Business Quant data shows POWW's Accumulated Expenses at $4.24 million (Q4 2026), $4.57 million (Q3 2026) and $6.73 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn |
| 10 | Outdoor Holding | 264.52 Mn | -7.89 Mn | 12.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.22 Mn |
| Mar 31, 2026 | 4.24 Mn |
| Dec 31, 2025 | 4.57 Mn |
| Sep 30, 2025 | 6.73 Mn |
| Jun 30, 2025 | 5.71 Mn |
| Mar 31, 2025 | 37.41 Mn |
| Dec 31, 2024 | 19.80 Mn |
| Sep 30, 2024 | 9.06 Mn |
| Jun 30, 2024 | 17.18 Mn |
| Mar 31, 2024 | 2.85 Mn |
| Dec 31, 2023 | 6.60 Mn |
| Sep 30, 2023 | 6.28 Mn |
| Jun 30, 2023 | 4.68 Mn |
| Mar 31, 2023 | 4.39 Mn |
| Dec 31, 2022 | 4.30 Mn |
| Sep 30, 2022 | 5.02 Mn |
| Jun 30, 2022 | 7.01 Mn |
| Mar 31, 2022 | 6.21 Mn |
| Dec 31, 2021 | 5.11 Mn |
| Sep 30, 2021 | 5.45 Mn |
API Access
Outdoor Holding 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=accumulated-expenses&ticker=POWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=POWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();