American Outdoor Brands (AOUT) Cash & Equivalents (2020 - 2026)
American Outdoor Brands' Cash & Equivalents was $33.28 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 87.2% from $17.77 million a year earlier and up 55.2% from the prior quarter.
American Outdoor Brands (AOUT) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Cash & Equivalents at American Outdoor Brands came in at $21.44 million, down 8.5% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of -18.8% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $23.42 million in FY2025 (-21.1%), $29.7 million in FY2024 (+35.3%), $21.95 million in FY2023 (+12.4%) and $19.52 million in FY2022 (-67.9%).
- The fiscal Q1 2027 figure marks the highest quarterly Cash & Equivalents since fiscal Q1 2022.
- Compared with a year earlier, Cash & Equivalents was higher in three of the last eight quarters, with an average decline of 0.8%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q1 2027 (growth of 87.2%); the worst was fiscal Q2 2026 (a decline of 78.1%).
- Per Business Quant data, AOUT's Cash & Equivalents in the three fiscal quarters before Q1 2027 was $21.44 million (Q4 2026), $10.4 million (Q3 2026) and $3.11 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amer Sports | 15.10 Bn | 11.15 Bn | 1.07 Bn | 720.40 Mn |
| 2 | Hasbro | 12.69 Bn | 8.48 Bn | 867.20 Mn | 880.50 Mn |
| 3 | Acushnet Holdings | 4.87 Bn | 4.61 Bn | 445.83 Mn | 67.94 Mn |
| 4 | Mattel | 4.30 Bn | 972.25 Mn | 542.12 Mn | 523.86 Mn |
| 5 | YETI Holdings | 3.02 Bn | 2.34 Bn | 322.52 Mn | 59.82 Mn |
| 6 | Callaway Golf | 2.55 Bn | 8.09 Mn | 306.70 Mn | 278.10 Mn |
| 7 | Peloton Interactive | 2.18 Bn | -2.44 Bn | 344.40 Mn | 1.21 Bn |
| 8 | Unusual Machines | 1.09 Bn | 625.04 Mn | 5.80 Mn | 229.60 Mn |
| 9 | Sturm Ruger | 697.45 Mn | 301.45 Mn | 33.74 Mn | 30.65 Mn |
| 10 | American Outdoor Brands | 202.35 Mn | 134.13 Mn | 19.74 Mn | 33.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 33.28 Mn |
| Apr 30, 2026 | 21.44 Mn |
| Jan 31, 2026 | 10.40 Mn |
| Oct 31, 2025 | 3.11 Mn |
| Jul 31, 2025 | 17.77 Mn |
| Apr 30, 2025 | 23.42 Mn |
| Jan 31, 2025 | 17.07 Mn |
| Oct 31, 2024 | 14.22 Mn |
| Jul 31, 2024 | 23.46 Mn |
| Apr 30, 2024 | 29.70 Mn |
| Jan 31, 2024 | 15.89 Mn |
| Oct 31, 2023 | 8.38 Mn |
| Jul 31, 2023 | 18.71 Mn |
| Apr 30, 2023 | 21.95 Mn |
| Jan 31, 2023 | 21.71 Mn |
| Oct 31, 2022 | 16.36 Mn |
| Jul 31, 2022 | 17.47 Mn |
| Apr 30, 2022 | 19.52 Mn |
| Jan 31, 2022 | 22.78 Mn |
| Oct 31, 2021 | 32.60 Mn |
American Outdoor Brands Cash & Equivalents 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=cash-and-equivalents&ticker=AOUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AOUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();