American Outdoor Brands (AOUT) EBITDA (2019 - 2026)
American Outdoor Brands (AOUT) reported EBITDA of $266,000 for fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$3.78 million a year earlier and down 89.9% from the prior quarter.
Powered by 
Analysis
American Outdoor Brands (AOUT) EBITDA (2019 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, American Outdoor Brands' EBITDA came in at $7.48 million, down 13.1% year-over-year; for FY2026 (ended Apr 30, 2026), it was $3.44 million, down 73.8% from FY2025.
- EBITDA has a five-year compound annual growth rate of -39.8% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $13.12 million in FY2025 (+264.1%), $3.6 million in FY2024 (-5.4%), $3.81 million in FY2023 and -$39.56 million in FY2022.
- Five-year quarterly EBITDA spans a low of -$66.36 million in fiscal Q4 2022 and a high of $9.51 million in fiscal Q2 2022.
- Year over year, EBITDA gained in three of the last four quarters, with growth averaging 67.1%.
- The high point for year-over-year EBITDA in five years was fiscal Q3 2025 (growth of 214.8%); the low point was fiscal Q3 2023 (a decline of 85.6%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $2.63 million (Q4 2026), -$945,000 (Q3 2026) and $5.53 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 304.20 Mn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 284.50 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 189.94 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 59.60 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 | 124.30 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 92.70 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | -7.76 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 14.01 Mn |
| 10 | American Outdoor Brands | 215.47 Mn | 147.25 Mn | 19.74 Mn | 266,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 266,000.00 |
| Apr 30, 2026 | 2.63 Mn |
| Jan 31, 2026 | -945,000.00 |
| Oct 31, 2025 | 5.53 Mn |
| Jul 31, 2025 | -3.78 Mn |
| Apr 30, 2025 | 2.51 Mn |
| Jan 31, 2025 | 3.49 Mn |
| Oct 31, 2024 | 6.39 Mn |
| Jul 31, 2024 | 735,000.00 |
| Apr 30, 2024 | -1.33 Mn |
| Jan 31, 2024 | 1.11 Mn |
| Oct 31, 2023 | 3.94 Mn |
| Jul 31, 2023 | -116,000.00 |
| Apr 30, 2023 | -48,000.00 |
| Jan 31, 2023 | 1.28 Mn |
| Oct 31, 2022 | 3.98 Mn |
| Jul 31, 2022 | -1.40 Mn |
| Apr 30, 2022 | -66.36 Mn |
| Jan 31, 2022 | 8.89 Mn |
| Oct 31, 2021 | 9.51 Mn |
API Access
American Outdoor Brands EBITDA 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=ebitda&ticker=AOUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();