Academy Sports & Outdoors (ASO) Cost of Revenue (2019 - 2026)
Academy Sports & Outdoors' Cost of Revenue came in at $981.38 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 4.1% from $1.02 billion a year earlier but up 1.9% from the prior quarter.
Academy Sports & Outdoors (ASO) Cost of Revenue (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Academy Sports & Outdoors reported Cost of Revenue of $3.98 billion, up 0.9% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $3.95 billion, up 0.7% from FY2025.
- Cost of Revenue carries a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- Going back by fiscal year, Cost of Revenue was $3.92 billion in FY2025 (-3.1%), $4.05 billion in FY2024 (-3.2%), $4.18 billion in FY2023 (-5.4%) and $4.42 billion in FY2022 (+11.8%).
- The five-year range for quarterly Cost of Revenue is $886.62 million (fiscal Q3 2025) to $1.22 billion (fiscal Q4 2022).
- Year-over-year, Cost of Revenue increased in four of the last eight quarters, with an average decline of 0.3%.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q3 2022 (growth of 13.6%), and the weakest in fiscal Q1 2023 (a decline of 6.9%).
- Business Quant data shows ASO's Cost of Revenue at $962.66 million (Q1 2027), $1.14 billion (Q4 2026) and $890.29 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 17.38 Bn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 2.38 Bn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 4.15 Bn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | 17.60 Bn |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 5.99 Bn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Academy Sports & Outdoors | 3.74 Bn | 2.49 Bn | 665.90 Mn | 981.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 981.38 Mn |
| May 2, 2026 | 962.66 Mn |
| Jan 31, 2026 | 1.14 Bn |
| Nov 1, 2025 | 890.29 Mn |
| Aug 2, 2025 | 1.02 Bn |
| May 3, 2025 | 892.54 Mn |
| Feb 1, 2025 | 1.14 Bn |
| Nov 2, 2024 | 886.62 Mn |
| Aug 3, 2024 | 990.26 Mn |
| May 4, 2024 | 908.43 Mn |
| Feb 3, 2024 | 1.20 Bn |
| Oct 28, 2023 | 915.14 Mn |
| Jul 29, 2023 | 1.02 Bn |
| Apr 29, 2023 | 916.49 Mn |
| Jan 28, 2023 | 1.17 Bn |
| Oct 29, 2022 | 971.45 Mn |
| Jul 30, 2022 | 1.09 Bn |
| Apr 30, 2022 | 946.31 Mn |
| Jan 29, 2022 | 1.22 Bn |
| Oct 30, 2021 | 1.03 Bn |
Academy Sports & Outdoors Cost of Revenue 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=cost-of-revenue&ticker=ASO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ASO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();