Academy Sports & Outdoors (ASO) Total Liabilities (2019 - 2026)
Academy Sports & Outdoors (ASO) posted Total Liabilities of $3.33 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 4.0% from $3.2 billion a year earlier but down 1.6% from the prior quarter.
Academy Sports & Outdoors (ASO) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Academy Sports & Outdoors' Total Liabilities came in at $3.11 billion, up 7.2% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of -1.0% (FY2021 to FY2026).
- In prior fiscal years, Academy Sports & Outdoors' Total Liabilities was $2.9 billion in FY2025 (+6.4%), $2.72 billion in FY2024 (-8.3%), $2.97 billion in FY2023 (-4.8%) and $3.12 billion in FY2022 (-4.7%).
- Quarterly Total Liabilities has run from a low of $2.72 billion in fiscal Q4 2024 to a high of $3.38 billion in fiscal Q1 2027 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last eight quarters, with growth averaging 5.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2026, with growth of 9.5%; the weakest was fiscal Q3 2022, with a decline of 17.4%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $3.38 billion (Q1 2027), $3.11 billion (Q4 2026) and $3.27 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 9.24 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 19.22 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 9.41 Bn |
| 10 | Academy Sports & Outdoors | 3.72 Bn | 2.46 Bn | 665.90 Mn | 3.33 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 3.33 Bn |
| May 2, 2026 | 3.38 Bn |
| Jan 31, 2026 | 3.11 Bn |
| Nov 1, 2025 | 3.27 Bn |
| Aug 2, 2025 | 3.20 Bn |
| May 3, 2025 | 3.23 Bn |
| Feb 1, 2025 | 2.90 Bn |
| Nov 2, 2024 | 3.13 Bn |
| Aug 3, 2024 | 2.92 Bn |
| May 4, 2024 | 2.97 Bn |
| Feb 3, 2024 | 2.72 Bn |
| Oct 28, 2023 | 3.13 Bn |
| Jul 29, 2023 | 2.94 Bn |
| Apr 29, 2023 | 2.96 Bn |
| Jan 28, 2023 | 2.97 Bn |
| Oct 29, 2022 | 3.22 Bn |
| Jul 30, 2022 | 3.13 Bn |
| Apr 30, 2022 | 3.19 Bn |
| Jan 29, 2022 | 3.12 Bn |
| Oct 30, 2021 | 3.30 Bn |
Academy Sports & Outdoors Total Liabilities 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=total-liabilities&ticker=ASO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ASO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();