American Outdoor Brands (AOUT) Cost of Revenue (2019 - 2026)
American Outdoor Brands (AOUT) recorded Cost of Revenue of $17.52 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 10.6% from $15.84 million a year earlier but down 29.9% from the prior quarter.
American Outdoor Brands (AOUT) Cost of Revenue (2019 - 2026) Analysis & Trends
On a TTM basis, American Outdoor Brands' Cost of Revenue came in at $107.02 million as of Jul 31, 2026, down 7.9% year-over-year; for FY2026 (ended Apr 30, 2026), it was $105.34 million, down 14.4% from FY2025.
- Annual Cost of Revenue has a five-year compound annual growth rate of -6.8% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $123.06 million in FY2025 (+9.2%), $112.67 million in FY2024 (+9.2%), $103.15 million in FY2023 (-22.6%) and $133.29 million in FY2022 (-11.1%).
- Quarterly Cost of Revenue has ranged from $15.84 million in fiscal Q1 2026 to $38.01 million in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Cost of Revenue rose in four of the last eight quarters, with an average decline of 0.9%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 36.1% in fiscal Q4 2025, against a decline of 31.8% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $25 million (Q4 2026), $33.4 million (Q3 2026) and $31.1 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.15 Bn | 11.20 Bn | 1.07 Bn | 561.00 Mn |
| 2 | Hasbro | 12.63 Bn | 8.42 Bn | 867.20 Mn | 272.40 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.63 Bn | 445.83 Mn | 374.12 Mn |
| 4 | Mattel | 4.36 Bn | 1.04 Bn | 542.12 Mn | 583.21 Mn |
| 5 | YETI Holdings | 2.98 Bn | 2.30 Bn | 322.52 Mn | 161.34 Mn |
| 6 | Callaway Golf | 2.58 Bn | 33.08 Mn | 306.70 Mn | 305.50 Mn |
| 7 | Peloton Interactive | 2.16 Bn | -2.46 Bn | 344.40 Mn | 263.40 Mn |
| 8 | Unusual Machines | 1.12 Bn | 655.02 Mn | 5.80 Mn | 10.92 Mn |
| 9 | Sturm Ruger | 708.48 Mn | 312.48 Mn | 33.74 Mn | 124.32 Mn |
| 10 | American Outdoor Brands | 206.26 Mn | 138.04 Mn | 19.74 Mn | 17.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 17.52 Mn |
| Apr 30, 2026 | 25.00 Mn |
| Jan 31, 2026 | 33.40 Mn |
| Oct 31, 2025 | 31.10 Mn |
| Jul 31, 2025 | 15.84 Mn |
| Apr 30, 2025 | 36.63 Mn |
| Jan 31, 2025 | 32.38 Mn |
| Oct 31, 2024 | 31.33 Mn |
| Jul 31, 2024 | 22.72 Mn |
| Apr 30, 2024 | 26.92 Mn |
| Jan 31, 2024 | 30.59 Mn |
| Oct 31, 2023 | 31.44 Mn |
| Jul 31, 2023 | 23.73 Mn |
| Apr 30, 2023 | 23.13 Mn |
| Jan 31, 2023 | 26.91 Mn |
| Oct 31, 2022 | 28.47 Mn |
| Jul 31, 2022 | 24.64 Mn |
| Apr 30, 2022 | 25.77 Mn |
| Jan 31, 2022 | 38.01 Mn |
| Oct 31, 2021 | 37.72 Mn |
American Outdoor Brands Cost of Revenue 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=cost-of-revenue&ticker=AOUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();