Academy Sports & Outdoors (ASO) Net Income (2019 - 2026)
Academy Sports & Outdoors' Net Income was $137.9 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 9.9% from $125.43 million a year earlier and up 161.6% from the prior quarter.
Academy Sports & Outdoors (ASO) Net Income (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Academy Sports & Outdoors' Net Income was $395.85 million through Aug 1, 2026, up 6.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $376.77 million, down 10.0% from FY2025.
- Net Income has now declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 4.1% (FY2021 to FY2026).
- In earlier fiscal years, Net Income was $418.45 million in FY2025 (-19.4%), $519.19 million in FY2024 (-17.3%), $628 million in FY2023 (-6.5%) and $671.38 million in FY2022 (+117.4%).
- The fiscal Q2 2027 figure marks the highest quarterly Net Income since fiscal Q2 2025.
- Compared with a year earlier, Net Income was higher in three of the last eight quarters, with an average decline of 9.2%.
- The best year-over-year quarter for Net Income over five years was fiscal Q3 2022 (growth of 170.7%); the worst was fiscal Q1 2026 (a decline of 39.7%).
- Per Business Quant data, ASO's Net Income in the three fiscal quarters before Q2 2027 was $52.7 million (Q1 2027), $133.69 million (Q4 2026) and $71.56 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 62.65 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 4.77 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 1.52 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 2.40 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 851.30 Mn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 715.06 Mn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 1.88 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 641.49 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 513.00 Mn |
| 10 | Academy Sports & Outdoors | 3.71 Bn | 2.45 Bn | 665.90 Mn | 137.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 137.90 Mn |
| May 2, 2026 | 52.70 Mn |
| Jan 31, 2026 | 133.69 Mn |
| Nov 1, 2025 | 71.56 Mn |
| Aug 2, 2025 | 125.43 Mn |
| May 3, 2025 | 46.08 Mn |
| Feb 1, 2025 | 133.63 Mn |
| Nov 2, 2024 | 65.76 Mn |
| Aug 3, 2024 | 142.59 Mn |
| May 4, 2024 | 76.47 Mn |
| Feb 3, 2024 | 168.17 Mn |
| Oct 28, 2023 | 99.98 Mn |
| Jul 29, 2023 | 157.08 Mn |
| Apr 29, 2023 | 93.97 Mn |
| Jan 28, 2023 | 157.65 Mn |
| Oct 29, 2022 | 131.74 Mn |
| Jul 30, 2022 | 188.80 Mn |
| Apr 30, 2022 | 149.81 Mn |
| Jan 29, 2022 | 141.77 Mn |
| Oct 30, 2021 | 161.31 Mn |
Academy Sports & Outdoors Net Income 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=net-income&ticker=ASO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=ASO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();