American Outdoor Brands (AOUT) Inventory (2020 - 2026)
American Outdoor Brands (AOUT) reported Inventory of $100.31 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 20.3% from $125.79 million a year earlier but up 9.2% from the prior quarter.
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Analysis
American Outdoor Brands (AOUT) Inventory (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), American Outdoor Brands posted Inventory of $91.89 million, down 12.3% from FY2025.
- Inventory has a five-year compound annual growth rate of 4.3% (FY2021 to FY2026).
- By fiscal year, Inventory came in at $104.72 million in FY2025 (+12.2%), $93.32 million in FY2024 (-6.4%), $99.73 million in FY2023 (-18.0%) and $121.68 million in FY2022 (+63.8%).
- Five-year quarterly Inventory spans a low of $91.89 million in fiscal Q4 2026 and a high of $125.79 million in fiscal Q1 2026.
- Year over year, Inventory has now declined in each of the last three quarters, with growth averaging 2.7% over the last eight quarters.
- The high point for year-over-year Inventory in five years was fiscal Q4 2022 (growth of 63.8%); the low point was fiscal Q1 2027 (a decline of 20.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $91.89 million (Q4 2026), $110.18 million (Q3 2026) and $123.98 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 1.90 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 353.20 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 532.21 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 829.80 Mn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 359.12 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 518.20 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 135.40 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 21.91 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 34.28 Mn |
| 10 | American Outdoor Brands | 215.47 Mn | 147.25 Mn | 19.74 Mn | 100.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 100.31 Mn |
| Apr 30, 2026 | 91.89 Mn |
| Jan 31, 2026 | 110.18 Mn |
| Oct 31, 2025 | 123.98 Mn |
| Jul 31, 2025 | 125.79 Mn |
| Apr 30, 2025 | 104.72 Mn |
| Jan 31, 2025 | 115.77 Mn |
| Oct 31, 2024 | 111.57 Mn |
| Jul 31, 2024 | 106.71 Mn |
| Apr 30, 2024 | 93.32 Mn |
| Jan 31, 2024 | 100.02 Mn |
| Oct 31, 2023 | 109.12 Mn |
| Jul 31, 2023 | 104.91 Mn |
| Apr 30, 2023 | 99.73 Mn |
| Jan 31, 2023 | 105.51 Mn |
| Oct 31, 2022 | 111.44 Mn |
| Jul 31, 2022 | 120.64 Mn |
| Apr 30, 2022 | 121.68 Mn |
| Jan 31, 2022 | 119.57 Mn |
| Oct 31, 2021 | 104.97 Mn |
API Access
American Outdoor Brands Inventory 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=inventory&ticker=AOUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "AOUT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=AOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();