American Outdoor Brands (AOUT) Total Liabilities (2020 - 2026)
American Outdoor Brands (AOUT) recorded Total Liabilities of $64.22 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 13.3% from $74.07 million a year earlier but up 5.8% from the prior quarter.
American Outdoor Brands (AOUT) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), American Outdoor Brands reported Total Liabilities of $60.73 million, down 11.7% from FY2025.
- Annual Total Liabilities has a five-year compound annual growth rate of -0.2% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $68.75 million in FY2025 (+9.7%), $62.67 million in FY2024 (+21.2%), $51.72 million in FY2023 (-30.9%) and $74.81 million in FY2022 (+21.9%).
- Quarterly Total Liabilities has ranged from $51.72 million in fiscal Q4 2023 to $75.27 million in fiscal Q2 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for four consecutive quarters, with growth averaging 2.9% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 30.5% in fiscal Q2 2025, against a decline of 30.9% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $60.73 million (Q4 2026), $59.3 million (Q3 2026) and $70.52 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 3.34 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 5.31 Bn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 1.65 Bn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 4.36 Bn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 692.22 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 620.50 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 2.20 Bn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 9.45 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 74.49 Mn |
| 10 | American Outdoor Brands | 215.47 Mn | 147.25 Mn | 19.74 Mn | 64.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 64.22 Mn |
| Apr 30, 2026 | 60.73 Mn |
| Jan 31, 2026 | 59.30 Mn |
| Oct 31, 2025 | 70.52 Mn |
| Jul 31, 2025 | 74.07 Mn |
| Apr 30, 2025 | 68.75 Mn |
| Jan 31, 2025 | 67.20 Mn |
| Oct 31, 2024 | 75.27 Mn |
| Jul 31, 2024 | 69.08 Mn |
| Apr 30, 2024 | 62.67 Mn |
| Jan 31, 2024 | 56.65 Mn |
| Oct 31, 2023 | 57.66 Mn |
| Jul 31, 2023 | 53.03 Mn |
| Apr 30, 2023 | 51.72 Mn |
| Jan 31, 2023 | 58.00 Mn |
| Oct 31, 2022 | 67.70 Mn |
| Jul 31, 2022 | 72.87 Mn |
| Apr 30, 2022 | 74.81 Mn |
| Jan 31, 2022 | 64.47 Mn |
| Oct 31, 2021 | 65.17 Mn |
American Outdoor Brands Total Liabilities 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=total-liabilities&ticker=AOUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();