Academy Sports & Outdoors (ASO) Change in Inventory (2020 - 2026)
Academy Sports & Outdoors (ASO) recorded Change in Inventory of $3.01 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 89.1% from $27.59 million a year earlier and down 98.0% from the prior quarter.
Academy Sports & Outdoors (ASO) Change in Inventory (2020 - 2026) Analysis & Trends
On a TTM basis, Academy Sports & Outdoors' Change in Inventory came in at $69.82 million as of Aug 1, 2026, down 68.4% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $194.92 million, up 70.0% from FY2025.
- Across earlier fiscal years, Change in Inventory came in at $114.68 million in FY2025, -$89.36 million in FY2024, $111.71 million in FY2023 (-38.5%) and $181.77 million in FY2022.
- Quarterly Change in Inventory has ranged from -$298.06 million in fiscal Q4 2024 to $251.2 million in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Change in Inventory rose in two of the last six quarters, with growth averaging 10.8%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 181.4% in fiscal Q2 2026, against a decline of 89.1% in fiscal Q2 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $150.67 million (Q1 2027), -$197.41 million (Q4 2026) and $113.54 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 110.41 Mn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 160.24 Mn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 932.00 Mn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 104.14 Mn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 586.00 Mn |
| 10 | Academy Sports & Outdoors | 3.72 Bn | 2.46 Bn | 665.90 Mn | 3.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 3.01 Mn |
| May 2, 2026 | 150.67 Mn |
| Jan 31, 2026 | -197.41 Mn |
| Nov 1, 2025 | 113.54 Mn |
| Aug 2, 2025 | 27.59 Mn |
| May 3, 2025 | 251.20 Mn |
| Feb 1, 2025 | -216.14 Mn |
| Nov 2, 2024 | 158.36 Mn |
| Aug 3, 2024 | 9.81 Mn |
| May 4, 2024 | 162.65 Mn |
| Feb 3, 2024 | -298.06 Mn |
| Oct 28, 2023 | 183.19 Mn |
| Jul 29, 2023 | -77.42 Mn |
| Apr 29, 2023 | 102.94 Mn |
| Jan 28, 2023 | -211.95 Mn |
| Oct 29, 2022 | 190.91 Mn |
| Jul 30, 2022 | -19.33 Mn |
| Apr 30, 2022 | 152.08 Mn |
| Jan 29, 2022 | -154.17 Mn |
| Oct 30, 2021 | 210.96 Mn |
Academy Sports & Outdoors Change in Inventory 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=change-in-inventory&ticker=ASO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=ASO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();