American Outdoor Brands (AOUT) Total Current Liabilities (2020 - 2026)
American Outdoor Brands' Total Current Liabilities was $33.82 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 19.8% from $42.19 million a year earlier but up 13.1% from the prior quarter.
American Outdoor Brands (AOUT) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Total Current Liabilities at American Outdoor Brands came in at $29.91 million, down 18.7% from FY2025.
- Total Current Liabilities shows a five-year compound annual growth rate of -3.8% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $36.8 million in FY2025 (+25.2%), $29.38 million in FY2024 (+27.7%), $23 million in FY2023 (-14.8%) and $27.01 million in FY2022 (-25.7%).
- Quarterly Total Current Liabilities has moved between $23 million (fiscal Q4 2023) and $42.64 million (fiscal Q2 2025) over five years.
- Compared with a year earlier, Total Current Liabilities has declined for four straight quarters, with growth averaging 6.5% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q3 2025 (growth of 51.7%); the worst was fiscal Q2 2023 (a decline of 42.8%).
- Per Business Quant data, AOUT's Total Current Liabilities in the three fiscal quarters before Q1 2027 was $29.91 million (Q4 2026), $28.08 million (Q3 2026) and $38.9 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.40 Bn | 11.45 Bn | 1.07 Bn | 1.97 Bn |
| 2 | Hasbro | 12.62 Bn | 8.41 Bn | 867.20 Mn | 1.72 Bn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.64 Bn | 445.83 Mn | 497.77 Mn |
| 4 | Mattel | 3.81 Bn | 486.56 Mn | 542.12 Mn | 1.29 Bn |
| 5 | YETI Holdings | 3.16 Bn | 2.48 Bn | 322.52 Mn | 409.59 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 409.90 Mn |
| 7 | Peloton Interactive | 2.11 Bn | -2.51 Bn | 344.40 Mn | 525.00 Mn |
| 8 | Unusual Machines | 1.19 Bn | 731.45 Mn | 5.80 Mn | 6.89 Mn |
| 9 | Sturm Ruger | 671.09 Mn | 275.09 Mn | 33.74 Mn | 71.43 Mn |
| 10 | American Outdoor Brands | 215.47 Mn | 147.25 Mn | 19.74 Mn | 33.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 33.82 Mn |
| Apr 30, 2026 | 29.91 Mn |
| Jan 31, 2026 | 28.08 Mn |
| Oct 31, 2025 | 38.90 Mn |
| Jul 31, 2025 | 42.19 Mn |
| Apr 30, 2025 | 36.80 Mn |
| Jan 31, 2025 | 34.90 Mn |
| Oct 31, 2024 | 42.64 Mn |
| Jul 31, 2024 | 36.13 Mn |
| Apr 30, 2024 | 29.38 Mn |
| Jan 31, 2024 | 23.01 Mn |
| Oct 31, 2023 | 33.99 Mn |
| Jul 31, 2023 | 29.18 Mn |
| Apr 30, 2023 | 23.00 Mn |
| Jan 31, 2023 | 24.08 Mn |
| Oct 31, 2022 | 23.57 Mn |
| Jul 31, 2022 | 28.55 Mn |
| Apr 30, 2022 | 27.01 Mn |
| Jan 31, 2022 | 40.91 Mn |
| Oct 31, 2021 | 41.18 Mn |
American Outdoor Brands Total Current 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-current-liabilities&ticker=AOUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=AOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();