Academy Sports & Outdoors (ASO) EBITDA (2019 - 2026)
Academy Sports & Outdoors' EBITDA came in at $276.81 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 36.1% from $203.4 million a year earlier and up 162.6% from the prior quarter.
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Analysis
Academy Sports & Outdoors (ASO) EBITDA (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Academy Sports & Outdoors reported EBITDA of $714.46 million, up 17.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $635.05 million, down 3.3% from FY2025.
- EBITDA has declined in each of the last four fiscal years, though with a five-year compound annual growth rate of 3.8% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $656.71 million in FY2025 (-16.7%), $788.79 million in FY2024 (-17.3%), $953.31 million in FY2023 (-5.9%) and $1.01 billion in FY2022 (+92.7%).
- The fiscal Q2 2027 figure represents the highest quarterly EBITDA since fiscal Q2 2023.
- Year-over-year, EBITDA has increased for four consecutive quarters, with an average decline of 2.5% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q3 2022 (growth of 126.4%), and the weakest in fiscal Q1 2024 (a decline of 34.0%).
- Business Quant data shows ASO's EBITDA at $105.41 million (Q1 2027), $200.94 million (Q4 2026) and $131.3 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Academy Sports & Outdoors | 3.72 Bn | 2.46 Bn | 665.90 Mn | 277.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 277.47 Mn |
| May 2, 2026 | 106.06 Mn |
| Jan 31, 2026 | 201.58 Mn |
| Nov 1, 2025 | 131.95 Mn |
| Aug 2, 2025 | 204.05 Mn |
| May 3, 2025 | 100.06 Mn |
| Feb 1, 2025 | 186.31 Mn |
| Nov 2, 2024 | 121.46 Mn |
| Aug 3, 2024 | 219.66 Mn |
| May 4, 2024 | 131.86 Mn |
| Feb 3, 2024 | 236.23 Mn |
| Oct 28, 2023 | 164.78 Mn |
| Jul 29, 2023 | 237.40 Mn |
| Apr 29, 2023 | 153.13 Mn |
| Jan 28, 2023 | 233.44 Mn |
| Oct 29, 2022 | 207.30 Mn |
| Jul 30, 2022 | 283.78 Mn |
| Apr 30, 2022 | 231.85 Mn |
| Jan 29, 2022 | 226.45 Mn |
| Oct 30, 2021 | 243.84 Mn |
API Access
Academy Sports & Outdoors EBITDA 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=ebitda&ticker=ASO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ASO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();