Outdoor Holding (POWW) Total Non-Current Liabilities (2020 - 2026)
Outdoor Holding's Total Non-Current Liabilities was $27.47 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 11.8% from the prior quarter.
Outdoor Holding (POWW) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Non-Current Liabilities at Outdoor Holding came in at $31.15 million, down 57.7% from FY2025.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 11.5% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $73.69 million in FY2025 (+69.9%), $43.38 million in FY2024 (+15.8%), $37.46 million in FY2023 (-2.4%) and $38.37 million in FY2022 (+112.5%).
- The fiscal Q1 2027 figure marks the lowest quarterly Total Non-Current Liabilities since fiscal Q4 2021.
- Compared with a year earlier, Total Non-Current Liabilities was higher in three of the last six quarters, with an average decline of 2.7%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2022 (growth of 112.5%); the worst was fiscal Q4 2026 (a decline of 57.7%).
- Per Business Quant data, POWW's Total Non-Current Liabilities in the three fiscal quarters before Q1 2027 was $31.15 million (Q4 2026), $32.78 million (Q3 2026) and $32.11 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,924.29 Bn | 3,681.81 Bn | 73.85 Bn | 261.69 Bn |
| 2 | Meta Platforms | 1,641.81 Bn | 1,344.33 Bn | 49.47 Bn | 166.27 Bn |
| 3 | Netflix | 275.91 Bn | 237.21 Bn | 6.80 Bn | 26.68 Bn |
| 4 | Alibaba Group Holding | 235.81 Bn | 49.59 Bn | 15.11 Bn | 122.05 Bn |
| 5 | Shopify | 218.39 Bn | 195.58 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 140.20 Bn | 112.00 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 123.99 Bn | 57.04 Bn | - | 39.77 Bn |
| 8 | Spotify Technology | 119.36 Bn | 76.86 Bn | 1.86 Bn | 6.10 Bn |
| 9 | PDD Holdings | 110.55 Bn | -133.22 Bn | 9.45 Bn | 428.00 Mn |
| 10 | Outdoor Holding | 276.08 Mn | 3.67 Mn | 12.24 Mn | 27.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.47 Mn |
| Mar 31, 2026 | 31.15 Mn |
| Dec 31, 2025 | 32.78 Mn |
| Sep 30, 2025 | 32.11 Mn |
| Mar 31, 2025 | 73.69 Mn |
| Dec 31, 2024 | 43.13 Mn |
| Sep 30, 2024 | 43.31 Mn |
| Jun 30, 2024 | 56.05 Mn |
| Mar 31, 2024 | 43.38 Mn |
| Dec 31, 2023 | 39.19 Mn |
| Sep 30, 2023 | 39.25 Mn |
| Jun 30, 2023 | 35.62 Mn |
| Mar 31, 2023 | 37.32 Mn |
| Dec 31, 2022 | 42.96 Mn |
| Sep 30, 2022 | 46.58 Mn |
| Jun 30, 2022 | 43.93 Mn |
| Mar 31, 2022 | 38.17 Mn |
| Dec 31, 2021 | 37.98 Mn |
| Sep 30, 2021 | 45.72 Mn |
| Jun 30, 2021 | 45.27 Mn |
Outdoor Holding Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=POWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=POWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();