O Reilly Automotive (ORLY) Shares Outstanding (Diluted) (2009 - 2026)
O Reilly Automotive's Weighted Average Shares Outstanding (Diluted) was 828.88 million in Q3 2026, down 2.8% from 852.7 million a year earlier and unchanged from the prior quarter.
O Reilly Automotive (ORLY) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at O Reilly Automotive came in at 855.92 million, down 2.8% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now declined for 15 consecutive years, with a five-year compound annual growth rate of -5.2% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 880.58 million in FY2024 (-3.8%), 914.97 million in FY2023 (-6.1%), 974.43 million in FY2022 (-6.7%) and 1.04 billion in FY2021 (-6.5%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has moved between 828.88 million (Q2 2026) and 1.04 billion (Q4 2021) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has declined for 62 straight quarters, with an average decline of 3.0% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding (Diluted) ranged from 2.5% (Q1 2026) to 7.8% (Q3 2022).
- Per Business Quant data, ORLY's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 828.88 million (Q2 2026), 842.52 million (Q1 2026) and 855.92 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | 10.93 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | 560.00 Mn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 828.88 Mn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 319.45 Mn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | 456.60 Mn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 739.91 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | 16.87 Mn |
| 10 | JD.com | 41.49 Bn | -78.71 Bn | 8.74 Bn | 1.49 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 828.88 Mn |
| Mar 31, 2026 | 842.52 Mn |
| Dec 31, 2025 | 855.92 Mn |
| Sep 30, 2025 | 852.70 Mn |
| Jun 30, 2025 | 858.44 Mn |
| Mar 31, 2025 | 864.33 Mn |
| Dec 31, 2024 | 880.58 Mn |
| Sep 30, 2024 | 875.03 Mn |
| Jun 30, 2024 | 885.66 Mn |
| Mar 31, 2024 | 891.81 Mn |
| Dec 31, 2023 | 914.97 Mn |
| Sep 30, 2023 | 908.85 Mn |
| Jun 30, 2023 | 920.49 Mn |
| Mar 31, 2023 | 935.97 Mn |
| Dec 31, 2022 | 974.43 Mn |
| Sep 30, 2022 | 957.90 Mn |
| Jun 30, 2022 | 985.29 Mn |
| Mar 31, 2022 | 1.01 Bn |
| Dec 31, 2021 | 1.04 Bn |
| Sep 30, 2021 | 1.04 Bn |
O Reilly Automotive Shares Outstanding (Diluted) 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-diluted&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();