Academy Sports & Outdoors (ASO) Accumulated Expenses (2019 - 2026)
Academy Sports & Outdoors (ASO) reported Accumulated Expenses of $302.51 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 13.7% from $266.02 million a year earlier and up 10.1% from the prior quarter.
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Analysis
Academy Sports & Outdoors (ASO) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Academy Sports & Outdoors posted Accumulated Expenses of $243.91 million, up 5.9% from FY2025.
- Accumulated Expenses has a five-year compound annual growth rate of -3.5% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $230.32 million in FY2025 (+5.7%), $217.93 million in FY2024 (-9.3%), $240.17 million in FY2023 (-20.8%) and $303.21 million in FY2022 (+4.1%).
- Five-year quarterly Accumulated Expenses spans a low of $217.93 million in fiscal Q4 2024 and a high of $314.29 million in fiscal Q3 2025.
- Year over year, Accumulated Expenses has now increased in each of the last three quarters, with growth averaging 8.2% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q3 2025 (growth of 35.4%); the low point was fiscal Q4 2023 (a decline of 20.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $274.86 million (Q1 2027), $243.91 million (Q4 2026) and $305.79 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn |
| 10 | Academy Sports & Outdoors | 3.84 Bn | 2.59 Bn | 665.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 302.51 Mn |
| May 2, 2026 | 274.86 Mn |
| Jan 31, 2026 | 243.91 Mn |
| Nov 1, 2025 | 305.79 Mn |
| Aug 2, 2025 | 266.02 Mn |
| May 3, 2025 | 272.36 Mn |
| Feb 1, 2025 | 230.32 Mn |
| Nov 2, 2024 | 314.29 Mn |
| Aug 3, 2024 | 259.07 Mn |
| May 4, 2024 | 262.05 Mn |
| Feb 3, 2024 | 217.93 Mn |
| Oct 28, 2023 | 232.05 Mn |
| Jul 29, 2023 | 234.01 Mn |
| Apr 29, 2023 | 221.39 Mn |
| Jan 28, 2023 | 240.17 Mn |
| Oct 29, 2022 | 259.18 Mn |
| Jul 30, 2022 | 251.57 Mn |
| Apr 30, 2022 | 274.40 Mn |
| Jan 29, 2022 | 303.21 Mn |
| Oct 30, 2021 | 304.49 Mn |
API Access
Academy Sports & Outdoors Accumulated 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=accumulated-expenses&ticker=ASO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ASO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ASO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();