Autozone (AZO) Price to Earnings (2009 - 2026)
Autozone's Price to Earnings was 23.03 in fiscal Q3 2026 (quarter ended May 9, 2026), down 3.7% from 23.91 a year earlier and down 11.4% from the prior quarter.
Autozone (AZO) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025 (ended Aug 30, 2025), Price to Earnings at Autozone came in at 27.95, up 38.4% from FY2024.
- Price to Earnings has now increased for four consecutive fiscal years.
- In earlier fiscal years, Price to Earnings was 20.20 in FY2024 (+17.7%), 17.16 in FY2023 (+1.5%), 16.90 in FY2022 (+13.0%) and 14.96 in FY2021 (-5.9%).
- The fiscal Q3 2026 figure marks the lowest quarterly Price to Earnings since fiscal Q2 2025.
- Compared with a year earlier, Price to Earnings was higher in seven of the last eight quarters, with growth averaging 20.6%.
- The best year-over-year quarter for Price to Earnings over five years was fiscal Q4 2025 (growth of 38.4%); the worst was fiscal Q1 2024 (a decline of 8.1%).
- Per Business Quant data, AZO's Price to Earnings in the three fiscal quarters before Q3 2026 was 26.00 (Q2 2026), 26.21 (Q1 2026) and 27.95 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn |
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 23.03 |
| Feb 14, 2026 | 26.00 |
| Nov 22, 2025 | 26.21 |
| Aug 30, 2025 | 27.95 |
| May 10, 2025 | 23.91 |
| Feb 15, 2025 | 22.19 |
| Nov 23, 2024 | 19.75 |
| Aug 31, 2024 | 20.20 |
| May 4, 2024 | 19.21 |
| Feb 10, 2024 | 17.69 |
| Nov 18, 2023 | 17.59 |
| Aug 26, 2023 | 17.16 |
| May 6, 2023 | 19.76 |
| Feb 11, 2023 | 19.12 |
| Nov 19, 2022 | 19.13 |
| Aug 27, 2022 | 16.90 |
| May 7, 2022 | 16.20 |
| Feb 12, 2022 | 16.06 |
| Nov 20, 2021 | 16.81 |
| Aug 28, 2021 | 14.96 |
Autozone Price to Earnings 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=price-to-earnings&ticker=AZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "AZO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();