American Outdoor Brands (AOUT) Research & Development (2019 - 2026)
American Outdoor Brands (AOUT) recorded Research & Development of $1.55 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 20.6% from $1.96 million a year earlier and down 1.6% from the prior quarter.
American Outdoor Brands (AOUT) Research & Development (2019 - 2026) Analysis & Trends
On a TTM basis, American Outdoor Brands' Research & Development came in at $5.68 million as of Jul 31, 2026, down 28.9% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $6.09 million, down 21.1% from FY2025.
- Annual Research & Development has a five-year compound annual growth rate of 2.5% (FY2021 to FY2026).
- Across earlier fiscal years, Research & Development came in at $7.71 million in FY2025 (+12.5%), $6.85 million in FY2024 (+7.7%), $6.36 million in FY2023 (+15.6%) and $5.5 million in FY2022 (+2.3%).
- Quarterly Research & Development has ranged from $1.15 million in fiscal Q4 2022 to $2.22 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Research & Development has declined for four consecutive quarters, with an average decline of 6.8% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 55.6% in fiscal Q4 2022, against a decline of 34.5% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.58 million (Q4 2026), $1.33 million (Q3 2026) and $1.22 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | - |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 93.60 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 20.76 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 15.80 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 56.90 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 430,759.00 |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | - |
| 10 | American Outdoor Brands | 215.47 Mn | 147.25 Mn | 19.74 Mn | 1.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.55 Mn |
| Apr 30, 2026 | 1.58 Mn |
| Jan 31, 2026 | 1.33 Mn |
| Oct 31, 2025 | 1.22 Mn |
| Jul 31, 2025 | 1.96 Mn |
| Apr 30, 2025 | 2.22 Mn |
| Jan 31, 2025 | 1.95 Mn |
| Oct 31, 2024 | 1.87 Mn |
| Jul 31, 2024 | 1.67 Mn |
| Apr 30, 2024 | 1.79 Mn |
| Jan 31, 2024 | 1.79 Mn |
| Oct 31, 2023 | 1.68 Mn |
| Jul 31, 2023 | 1.60 Mn |
| Apr 30, 2023 | 1.47 Mn |
| Jan 31, 2023 | 1.58 Mn |
| Oct 31, 2022 | 1.56 Mn |
| Jul 31, 2022 | 1.76 Mn |
| Apr 30, 2022 | 1.15 Mn |
| Jan 31, 2022 | 1.38 Mn |
| Oct 31, 2021 | 1.46 Mn |
American Outdoor Brands Research & Development 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=research-and-development&ticker=AOUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=AOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();