Academy Sports & Outdoors (ASO) Tax Provisions (2019 - 2026)
Academy Sports & Outdoors (ASO) recorded Tax Provisions of $40.5 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 2.8% from $39.4 million a year earlier and up 150.2% from the prior quarter.
Academy Sports & Outdoors (ASO) Tax Provisions (2019 - 2026) Analysis & Trends
On a TTM basis, Academy Sports & Outdoors' Tax Provisions came in at $109.63 million as of Aug 1, 2026, down 1.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $109.29 million, down 8.8% from FY2025.
- Annual Tax Provisions has declined for three straight fiscal years, though with a five-year compound annual growth rate of 29.2% (FY2021 to FY2026).
- Across earlier fiscal years, Tax Provisions came in at $119.78 million in FY2025 (-16.8%), $143.97 million in FY2024 (-24.4%), $190.32 million in FY2023 (+1.1%) and $188.16 million in FY2022 (+519.8%).
- The fiscal Q2 2027 figure is the highest quarterly Tax Provisions since fiscal Q2 2025.
- On a year-over-year basis, Tax Provisions rose in 1 of the last eight quarters, with an average decline of 11.0%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 55.3% in fiscal Q4 2022, against a decline of 45.7% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $16.19 million (Q1 2027), $30.48 million (Q4 2026) and $22.46 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn | 776.00 Mn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn | 209.01 Mn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn | 283.46 Mn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn | 582.00 Mn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn | 171.78 Mn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn | 66.00 Mn |
| 10 | Academy Sports & Outdoors | 3.84 Bn | 2.59 Bn | 665.90 Mn | 40.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 40.50 Mn |
| May 2, 2026 | 16.19 Mn |
| Jan 31, 2026 | 30.48 Mn |
| Nov 1, 2025 | 22.46 Mn |
| Aug 2, 2025 | 39.40 Mn |
| May 3, 2025 | 16.94 Mn |
| Feb 1, 2025 | 31.67 Mn |
| Nov 2, 2024 | 22.97 Mn |
| Aug 3, 2024 | 43.96 Mn |
| May 4, 2024 | 21.19 Mn |
| Feb 3, 2024 | 43.09 Mn |
| Oct 28, 2023 | 29.97 Mn |
| Jul 29, 2023 | 46.20 Mn |
| Apr 29, 2023 | 24.71 Mn |
| Jan 28, 2023 | 48.48 Mn |
| Oct 29, 2022 | 38.16 Mn |
| Jul 30, 2022 | 58.22 Mn |
| Apr 30, 2022 | 45.46 Mn |
| Jan 29, 2022 | 46.65 Mn |
| Oct 30, 2021 | 44.00 Mn |
Academy Sports & Outdoors Tax Provisions 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=tax-provisions&ticker=ASO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ASO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();