American Outdoor Brands (AOUT) Operating Expenses (2019 - 2026)
American Outdoor Brands' Operating Expenses came in at $21.85 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 5.7% from $20.68 million a year earlier but down 2.5% from the prior quarter.
American Outdoor Brands (AOUT) Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, American Outdoor Brands reported Operating Expenses of $95.37 million, down 3.3% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $94.19 million, down 5.3% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of -1.8% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $99.42 million in FY2025 (-1.5%), $100.92 million in FY2024 (+0.2%), $100.76 million in FY2023 (-41.0%) and $170.76 million in FY2022 (+65.3%).
- The five-year range for quarterly Operating Expenses is $20.68 million (fiscal Q1 2026) to $90.9 million (fiscal Q4 2022).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with an average decline of 1.4%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2022 (growth of 232.1%), and the weakest in fiscal Q4 2023 (a decline of 74.6%).
- Business Quant data shows AOUT's Operating Expenses at $22.42 million (Q4 2026), $27.09 million (Q3 2026) and $24.01 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | -909.20 Mn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 887.10 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 267.00 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 229.01 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 191.90 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 263.20 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 13.64 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 26.11 Mn |
| 10 | American Outdoor Brands | 215.47 Mn | 147.25 Mn | 19.74 Mn | 21.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 21.85 Mn |
| Apr 30, 2026 | 22.42 Mn |
| Jan 31, 2026 | 27.09 Mn |
| Oct 31, 2025 | 24.01 Mn |
| Jul 31, 2025 | 20.68 Mn |
| Apr 30, 2025 | 26.26 Mn |
| Jan 31, 2025 | 25.82 Mn |
| Oct 31, 2024 | 25.84 Mn |
| Jul 31, 2024 | 21.50 Mn |
| Apr 30, 2024 | 24.89 Mn |
| Jan 31, 2024 | 25.72 Mn |
| Oct 31, 2023 | 26.51 Mn |
| Jul 31, 2023 | 23.80 Mn |
| Apr 30, 2023 | 23.08 Mn |
| Jan 31, 2023 | 26.99 Mn |
| Oct 31, 2022 | 26.10 Mn |
| Jul 31, 2022 | 24.60 Mn |
| Apr 30, 2022 | 90.90 Mn |
| Jan 31, 2022 | 27.37 Mn |
| Oct 31, 2021 | 27.74 Mn |
American Outdoor Brands Operating 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=operating-expenses&ticker=AOUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=AOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();