O Reilly Automotive (ORLY) Shares Outstanding (2009 - 2026)
Powered by 
Analysis
O Reilly Automotive (ORLY) Shares Outstanding (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 10.80 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 720.86 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 317.69 Mn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 454.40 Mn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 808.85 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 16.48 Mn |
| 10 | JD.com | 34.34 Bn | -76.55 Bn | 8.74 Bn | 1.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 808.85 Mn |
| Jun 30, 2026 | 825.20 Mn |
| Mar 31, 2026 | 838.58 Mn |
| Dec 31, 2025 | 851.47 Mn |
| Sep 30, 2025 | 848.29 Mn |
| Jun 30, 2025 | 854.00 Mn |
| Mar 31, 2025 | 859.56 Mn |
| Dec 31, 2024 | 875.09 Mn |
| Sep 30, 2024 | 869.97 Mn |
| Jun 30, 2024 | 880.19 Mn |
| Mar 31, 2024 | 885.26 Mn |
| Dec 31, 2023 | 907.13 Mn |
| Sep 30, 2023 | 901.23 Mn |
| Jun 30, 2023 | 912.26 Mn |
| Mar 31, 2023 | 927.60 Mn |
| Dec 31, 2022 | 965.58 Mn |
| Sep 30, 2022 | 949.32 Mn |
| Jun 30, 2022 | 976.74 Mn |
| Mar 31, 2022 | 998.58 Mn |
| Dec 31, 2021 | 1.03 Bn |
API Access
O Reilly Automotive Shares Outstanding 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=shares-outstanding&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "ORLY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();