Academy Sports & Outdoors (ASO) Operating Leases (2019 - 2026)
Academy Sports & Outdoors (ASO) recorded Operating Leases of $1.34 billion in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 10.1% from $1.22 billion a year earlier and up 1.9% from the prior quarter.
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Analysis
Academy Sports & Outdoors (ASO) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Academy Sports & Outdoors reported Operating Leases of $1.26 billion, up 6.4% from FY2025.
- Annual Operating Leases has increased for three straight fiscal years, with a five-year compound annual growth rate of 1.9% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $1.19 billion in FY2025 (+8.7%), $1.09 billion in FY2024 (+1.8%), $1.07 billion in FY2023 (-0.5%) and $1.08 billion in FY2022 (-6.3%).
- The fiscal Q2 2027 figure is the highest quarterly Operating Leases in data going back to fiscal Q3 2020.
- On a year-over-year basis, Operating Leases has increased for 12 consecutive quarters, with growth averaging 8.8% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 12.4% in fiscal Q2 2026, against a decline of 7.1% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.32 billion (Q1 2027), $1.26 billion (Q4 2026) and $1.26 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn |
| 10 | Academy Sports & Outdoors | 3.72 Bn | 2.46 Bn | 665.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.34 Bn |
| May 2, 2026 | 1.32 Bn |
| Jan 31, 2026 | 1.26 Bn |
| Nov 1, 2025 | 1.26 Bn |
| Aug 2, 2025 | 1.22 Bn |
| May 3, 2025 | 1.21 Bn |
| Feb 1, 2025 | 1.19 Bn |
| Nov 2, 2024 | 1.17 Bn |
| Aug 3, 2024 | 1.08 Bn |
| May 4, 2024 | 1.10 Bn |
| Feb 3, 2024 | 1.09 Bn |
| Oct 28, 2023 | 1.10 Bn |
| Jul 29, 2023 | 1.06 Bn |
| Apr 29, 2023 | 1.06 Bn |
| Jan 28, 2023 | 1.07 Bn |
| Oct 29, 2022 | 1.09 Bn |
| Jul 30, 2022 | 1.08 Bn |
| Apr 30, 2022 | 1.08 Bn |
| Jan 29, 2022 | 1.08 Bn |
| Oct 30, 2021 | 1.09 Bn |
API Access
Academy Sports & Outdoors Operating Leases 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=operating-leases&ticker=ASO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ASO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();