American Outdoor Brands (AOUT) Enterprise Value (2020 - 2026)
American Outdoor Brands (AOUT) posted Enterprise Value of $122.65 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 21.1% from $101.29 million a year earlier and up 28.0% from the prior quarter.
American Outdoor Brands (AOUT) Enterprise Value (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Enterprise Value at American Outdoor Brands was $87.71 million, up 88.3% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $95.8 million, down 19.6% from FY2025.
- Annual Enterprise Value shows a five-year compound annual growth rate of -20.6% (FY2021 to FY2026).
- In prior fiscal years, American Outdoor Brands' Enterprise Value was $119.16 million in FY2025 (+69.3%), $70.38 million in FY2024 (-27.0%), $96.35 million in FY2023 (-35.5%) and $149.36 million in FY2022 (-50.6%).
- The fiscal Q1 2027 figure stands as the highest quarterly Enterprise Value since fiscal Q3 2025.
- On a year-over-year basis, Enterprise Value increased in four of the last eight quarters, with growth averaging 14.9%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q3 2025, with growth of 115.8%; the weakest was fiscal Q1 2023, with a decline of 72.6%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $95.8 million (Q4 2026), $102.49 million (Q3 2026) and $83.65 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 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 |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn |
| 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 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 122.65 Mn |
| Apr 30, 2026 | 95.80 Mn |
| Jan 31, 2026 | 102.49 Mn |
| Oct 31, 2025 | 83.65 Mn |
| Jul 31, 2025 | 101.29 Mn |
| Apr 30, 2025 | 119.16 Mn |
| Jan 31, 2025 | 201.75 Mn |
| Oct 31, 2024 | 95.11 Mn |
| Jul 31, 2024 | 96.53 Mn |
| Apr 30, 2024 | 70.38 Mn |
| Jan 31, 2024 | 93.49 Mn |
| Oct 31, 2023 | 106.76 Mn |
| Jul 31, 2023 | 105.37 Mn |
| Apr 30, 2023 | 96.35 Mn |
| Jan 31, 2023 | 117.22 Mn |
| Oct 31, 2022 | 103.46 Mn |
| Jul 31, 2022 | 88.82 Mn |
| Apr 30, 2022 | 149.36 Mn |
| Jan 31, 2022 | 206.42 Mn |
| Oct 31, 2021 | 290.48 Mn |
American Outdoor Brands Enterprise Value 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=enterprise-value&ticker=AOUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=AOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();