Outdoor Holding (POWW) Enterprise Value (2017 - 2026)
Outdoor Holding (POWW) recorded Enterprise Value of $195.74 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 126.2% from $86.54 million a year earlier and up 17.3% from the prior quarter.
Outdoor Holding (POWW) Enterprise Value (2017 - 2026) Analysis & Trends
On a TTM basis, Outdoor Holding's Enterprise Value came in at -$7.89 million as of Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it came in at $166.87 million, up 27.4% from FY2025.
- Annual Enterprise Value has a five-year compound annual growth rate of -4.3% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $130.98 million in FY2025 (-51.9%), $272.16 million in FY2024 (+40.4%), $193.91 million in FY2023 (-63.8%) and $535.85 million in FY2022 (+158.2%).
- The fiscal Q1 2027 figure is the highest quarterly Enterprise Value since fiscal Q4 2024.
- On a year-over-year basis, Enterprise Value has increased for three consecutive quarters, with an average decline of 0.5% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 462.3% in fiscal Q2 2022, against a decline of 70.6% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $166.87 million (Q4 2026), $130.71 million (Q3 2026) and $107.65 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn |
| 10 | Outdoor Holding | 263.35 Mn | -9.05 Mn | 12.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 195.74 Mn |
| Mar 31, 2026 | 166.87 Mn |
| Dec 31, 2025 | 130.71 Mn |
| Sep 30, 2025 | 107.65 Mn |
| Jun 30, 2025 | 86.54 Mn |
| Mar 31, 2025 | 130.98 Mn |
| Dec 31, 2024 | 96.24 Mn |
| Sep 30, 2024 | 132.65 Mn |
| Jun 30, 2024 | 148.76 Mn |
| Mar 31, 2024 | 272.16 Mn |
| Dec 31, 2023 | 194.47 Mn |
| Sep 30, 2023 | 189.73 Mn |
| Jun 30, 2023 | 203.72 Mn |
| Mar 31, 2023 | 193.91 Mn |
| Dec 31, 2022 | 176.86 Mn |
| Sep 30, 2022 | 314.61 Mn |
| Jun 30, 2022 | 429.26 Mn |
| Mar 31, 2022 | 535.85 Mn |
| Dec 31, 2021 | 601.71 Mn |
| Sep 30, 2021 | 665.60 Mn |
Outdoor Holding Enterprise Value 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=enterprise-value&ticker=POWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=POWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();