O Reilly Automotive (ORLY) Shares Outstanding (2009 - 2026)
O Reilly Automotive (ORLY) reported Shares Outstanding of 825.2 million for Q2 2026, down 3.4% from 854 million a year earlier and down 1.6% from the prior quarter.
Powered by 
Analysis
O Reilly Automotive (ORLY) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, O Reilly Automotive posted Shares Outstanding of 851.47 million, down 2.7% from FY2024.
- Shares Outstanding has declined for 15 consecutive years, with a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 875.09 million in FY2024 (-3.5%), 907.13 million in FY2023 (-6.1%), 965.58 million in FY2022 (-6.7%) and 1.03 billion in FY2021 (-6.6%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding in data going back to Q1 2009.
- Year over year, Shares Outstanding has now declined in each of the last 61 quarters, with an average decline of 3.0% over the last eight quarters.
- The year-over-year decline in Shares Outstanding has ranged between 2.4% (Q1 2026) and 7.8% (Q3 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at 838.58 million (Q1 2026), 851.47 million (Q4 2025) and 848.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 317.69 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.40 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 825.20 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 717.69 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.47 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | 1.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 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();