American Outdoor Brands (AOUT) Other Operating Expenses (2019 - 2026)
American Outdoor Brands (AOUT) posted Other Operating Expenses of $12.28 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 16.7% from $10.52 million a year earlier but down 2.0% from the prior quarter.
American Outdoor Brands (AOUT) Other Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Other Operating Expenses at American Outdoor Brands was $56.94 million, up 4.1% year-over-year; for FY2026 (ended Apr 30, 2026), it was $55.18 million, down 0.7% from FY2025.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of -0.6% (FY2021 to FY2026).
- In prior fiscal years, American Outdoor Brands' Other Operating Expenses was $55.56 million in FY2025 (+0.9%), $55.05 million in FY2024 (+6.3%), $51.79 million in FY2023 (-58.2%) and $124.02 million in FY2022 (+118.4%).
- Quarterly Other Operating Expenses has run from a low of $10.52 million in fiscal Q1 2026 to a high of $79.53 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Other Operating Expenses increased in four of the last eight quarters, with growth averaging 2.6%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q4 2022, with growth of 418.2%; the weakest was fiscal Q4 2023, with a decline of 85.5%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $12.53 million (Q4 2026), $17.8 million (Q3 2026) and $14.33 million (Q2 2026).
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
| Date | Value |
|---|---|
| Jul 31, 2026 | 12.28 Mn |
| Apr 30, 2026 | 12.53 Mn |
| Jan 31, 2026 | 17.80 Mn |
| Oct 31, 2025 | 14.33 Mn |
| Jul 31, 2025 | 10.52 Mn |
| Apr 30, 2025 | 14.19 Mn |
| Jan 31, 2025 | 15.02 Mn |
| Oct 31, 2024 | 14.97 Mn |
| Jul 31, 2024 | 11.38 Mn |
| Apr 30, 2024 | 13.12 Mn |
| Jan 31, 2024 | 14.46 Mn |
| Oct 31, 2023 | 15.41 Mn |
| Jul 31, 2023 | 12.05 Mn |
| Apr 30, 2023 | 11.57 Mn |
| Jan 31, 2023 | 14.52 Mn |
| Oct 31, 2022 | 13.92 Mn |
| Jul 31, 2022 | 11.78 Mn |
| Apr 30, 2022 | 79.53 Mn |
| Jan 31, 2022 | 15.63 Mn |
| Oct 31, 2021 | 15.66 Mn |
American Outdoor Brands Other 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=other-operating-expenses&ticker=AOUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=AOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();