American Outdoor Brands (AOUT) Accumulated Expenses (2020 - 2026)
American Outdoor Brands (AOUT) recorded Accumulated Expenses of $15.44 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 8.3% from $16.84 million a year earlier but up 16.9% from the prior quarter.
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Analysis
American Outdoor Brands (AOUT) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), American Outdoor Brands reported Accumulated Expenses of $13.21 million, down 4.8% from FY2025.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 6.1% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $13.87 million in FY2025 (+43.2%), $9.69 million in FY2024 (+10.8%), $8.74 million in FY2023 (+11.3%) and $7.85 million in FY2022 (-20.2%).
- Quarterly Accumulated Expenses has ranged from $7.85 million in fiscal Q4 2022 to $16.84 million in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in six of the last eight quarters, with growth averaging 18.3%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 43.6% in fiscal Q1 2026, against a decline of 27.2% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $13.21 million (Q4 2026), $13.3 million (Q3 2026) and $16.72 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.22 Bn | 11.27 Bn | 1.07 Bn |
| 2 | Hasbro | 12.37 Bn | 8.16 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.82 Bn | 4.56 Bn | 445.83 Mn |
| 4 | Mattel | 3.62 Bn | 292.28 Mn | 542.12 Mn |
| 5 | YETI Holdings | 2.99 Bn | 2.31 Bn | 322.52 Mn |
| 6 | Callaway Golf | 2.52 Bn | -29.40 Mn | 306.70 Mn |
| 7 | Peloton Interactive | 2.19 Bn | -2.43 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.22 Bn | 760.93 Mn | 5.80 Mn |
| 9 | Sturm Ruger | 679.08 Mn | 283.08 Mn | 33.74 Mn |
| 10 | American Outdoor Brands | 204.36 Mn | 136.15 Mn | 19.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 15.44 Mn |
| Apr 30, 2026 | 13.21 Mn |
| Jan 31, 2026 | 13.30 Mn |
| Oct 31, 2025 | 16.72 Mn |
| Jul 31, 2025 | 16.84 Mn |
| Apr 30, 2025 | 13.87 Mn |
| Jan 31, 2025 | 11.56 Mn |
| Oct 31, 2024 | 12.72 Mn |
| Jul 31, 2024 | 11.73 Mn |
| Apr 30, 2024 | 9.69 Mn |
| Jan 31, 2024 | 9.45 Mn |
| Oct 31, 2023 | 12.27 Mn |
| Jul 31, 2023 | 9.80 Mn |
| Apr 30, 2023 | 8.74 Mn |
| Jan 31, 2023 | 10.10 Mn |
| Oct 31, 2022 | 10.87 Mn |
| Jul 31, 2022 | 9.63 Mn |
| Apr 30, 2022 | 7.85 Mn |
| Jan 31, 2022 | 13.87 Mn |
| Oct 31, 2021 | 14.48 Mn |
API Access
American Outdoor Brands 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=AOUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();