O Reilly Automotive (ORLY) Shares Outstanding (Diluted) (2009 - 2026)
O Reilly Automotive's Shares Outstanding (Diluted) was 828.88 million in Q2 2026, down 3.4% from 858.44 million a year earlier and down 1.6% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at O Reilly Automotive came in at 855.92 million, down 2.8% from FY2024.
- 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, 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%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) in data going back to Q1 2009.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for 61 straight quarters, with an average decline of 3.1% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding (Diluted) ranged from 2.5% (Q1 2026) to 7.8% (Q3 2022).
- Per Business Quant data, ORLY's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 842.52 million (Q1 2026), 855.92 million (Q4 2025) and 852.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 319.45 Mn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 456.60 Mn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 828.88 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 739.96 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 16.85 Mn |
| 10 | JD.com | 32.28 Bn | -77.90 Bn | 8.71 Bn | 1.49 Bn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();