American Outdoor Brands (AOUT) Change in Accured Expenses (2019 - 2026)
American Outdoor Brands (AOUT) reported Change in Accured Expenses of $2.15 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$5 million a year earlier and up 87.3% from the prior quarter.
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Analysis
American Outdoor Brands (AOUT) Change in Accured Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, American Outdoor Brands' Change in Accured Expenses came in at $2.97 million; for FY2026 (ended Apr 30, 2026), it was -$4.17 million.
- By fiscal year, Change in Accured Expenses came in at $4.19 million in FY2025 (+77.8%), $2.35 million in FY2024, -$1.97 million in FY2023 and -$4.92 million in FY2022.
- The fiscal Q1 2027 figure ranks as the highest quarterly Change in Accured Expenses since fiscal Q4 2025.
- Year over year, Change in Accured Expenses gained in 1 of the last four quarters, with an average decline of 4.5%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q2 2022 (growth of 247.6%); the low point was fiscal Q2 2023 (a decline of 84.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $1.15 million (Q4 2026), -$1.23 million (Q3 2026) and $904,000 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.15 Bn | 11.20 Bn | 1.07 Bn | 13.00 Mn |
| 2 | Hasbro | 12.63 Bn | 8.42 Bn | 867.20 Mn | 65.80 Mn |
| 3 | Acushnet Holdings | 4.89 Bn | 4.63 Bn | 445.83 Mn | - |
| 4 | Mattel | 4.36 Bn | 1.04 Bn | 542.12 Mn | 73.45 Mn |
| 5 | YETI Holdings | 2.98 Bn | 2.30 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.58 Bn | 33.08 Mn | 306.70 Mn | -39.90 Mn |
| 7 | Peloton Interactive | 2.16 Bn | -2.46 Bn | 344.40 Mn | -43.50 Mn |
| 8 | Unusual Machines | 1.12 Bn | 655.02 Mn | 5.80 Mn | - |
| 9 | Sturm Ruger | 708.48 Mn | 312.48 Mn | 33.74 Mn | 7.30 Mn |
| 10 | American Outdoor Brands | 206.26 Mn | 138.04 Mn | 19.74 Mn | 2.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.15 Mn |
| Apr 30, 2026 | 1.15 Mn |
| Jan 31, 2026 | -1.23 Mn |
| Oct 31, 2025 | 904,000.00 |
| Jul 31, 2025 | -5.00 Mn |
| Apr 30, 2025 | 2.31 Mn |
| Jan 31, 2025 | -1.16 Mn |
| Oct 31, 2024 | 993,000.00 |
| Jul 31, 2024 | 2.04 Mn |
| Apr 30, 2024 | 1.15 Mn |
| Jan 31, 2024 | -2.33 Mn |
| Oct 31, 2023 | 2.47 Mn |
| Jul 31, 2023 | 1.06 Mn |
| Apr 30, 2023 | -4.22 Mn |
| Jan 31, 2023 | -774,000.00 |
| Oct 31, 2022 | 1.24 Mn |
| Jul 31, 2022 | 1.78 Mn |
| Apr 30, 2022 | -8.95 Mn |
| Jan 31, 2022 | -613,000.00 |
| Oct 31, 2021 | 8.17 Mn |
API Access
American Outdoor Brands Change in Accured Expenses 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=change-in-accured-expenses&ticker=AOUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=AOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();