Autozone (AZO) Land & Improvements (2009 - 2026)
Analysis
Autozone (AZO) Land & Improvements (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,933.26 Bn | 2,429.93 Bn | 107.37 Bn | - |
| 2 | Home Depot | 348.06 Bn | 341.30 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 147.97 Bn | 125.52 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 127.73 Bn | 120.69 Bn | 8.58 Bn | - |
| 5 | Carvana | 79.78 Bn | 70.66 Bn | 1.52 Bn | - |
| 6 | O Reilly Automotive | 74.18 Bn | 73.27 Bn | 2.68 Bn | - |
| 7 | Ross Stores | 74.06 Bn | 56.99 Bn | 2.12 Bn | 1.84 Bn |
| 8 | Target | 73.34 Bn | 67.93 Bn | 8.94 Bn | - |
| 9 | Autozone | 52.71 Bn | 51.56 Bn | 3.52 Bn | 1.71 Bn |
| 10 | JD.com | 33.86 Bn | -77.03 Bn | 8.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 1.71 Bn |
| Aug 30, 2025 | 1.47 Bn |
| Aug 31, 2024 | 1.39 Bn |
| Aug 26, 2023 | 1.37 Bn |
| Aug 27, 2022 | 1.30 Bn |
| Aug 28, 2021 | 1.26 Bn |
| Aug 29, 2020 | 1.21 Bn |
| Aug 31, 2019 | 1.15 Bn |
| Aug 25, 2018 | 1.11 Bn |
| Aug 26, 2017 | 1.06 Bn |
| Aug 27, 2016 | 998.46 Mn |
| Aug 29, 2015 | 966.92 Mn |
| Aug 30, 2014 | 925.36 Mn |
| Aug 31, 2013 | 862.57 Mn |
| Aug 25, 2012 | 800.18 Mn |
| Aug 27, 2011 | 740.28 Mn |
| Aug 28, 2010 | 690.10 Mn |
| Aug 29, 2009 | 656.52 Mn |
API Access
Autozone Land & Improvements 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=land-and-improvements&ticker=AZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();