O Reilly Automotive (ORLY) Shares Repurchased (2011 - 2026)
O Reilly Automotive (ORLY) reported Shares Repurchased of $1.03 billion for Q3 2026, up 146.4% from $420.01 million a year earlier but down 31.5% from the prior quarter.
O Reilly Automotive (ORLY) Shares Repurchased (2011 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, O Reilly Automotive's Shares Repurchased came in at $3.97 billion, up 91.8% year-over-year; for FY2025, it was $2.1 billion, up 1.0% from FY2024.
- Shares Repurchased has a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- By year, Shares Repurchased came in at $2.08 billion in FY2024 (-34.1%), $3.15 billion in FY2023 (-4.0%), $3.28 billion in FY2022 (+32.6%) and $2.48 billion in FY2021 (+18.6%).
- Five-year quarterly Shares Repurchased spans a low of $270.02 million in Q1 2024 and a high of $1.51 billion in Q2 2026.
- Year over year, Shares Repurchased has now increased in each of the last four quarters, with growth averaging 51.1% over the last eight quarters.
- The high point for year-over-year Shares Repurchased in five years was Q2 2022 (growth of 244.3%); the low point was Q1 2024 (a decline of 75.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $1.51 billion (Q2 2026), $922.95 million (Q1 2026) and $500.31 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Repurchased (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,583.91 Bn | 2,583.91 Bn | - | - |
| 2 | Home Depot | 327.32 Bn | 320.57 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 155.16 Bn | 132.70 Bn | 5.07 Bn | 814.00 Mn |
| 4 | Lowes Companies | 116.41 Bn | 109.37 Bn | 8.58 Bn | 3.00 Mn |
| 5 | O Reilly Automotive | 72.96 Bn | 72.96 Bn | 2.68 Bn | 1.03 Bn |
| 6 | Ross Stores | 72.59 Bn | 55.51 Bn | 2.12 Bn | 318.75 Mn |
| 7 | Target | 69.63 Bn | 64.22 Bn | 8.94 Bn | 3.00 Mn |
| 8 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 690.84 Mn |
| 9 | Carvana | 49.71 Bn | 39.29 Bn | 1.52 Bn | - |
| 10 | JD.com | 36.48 Bn | -83.72 Bn | 8.74 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.03 Bn |
| Jun 30, 2026 | 1.51 Bn |
| Mar 31, 2026 | 922.95 Mn |
| Dec 31, 2025 | 500.31 Mn |
| Sep 30, 2025 | 420.01 Mn |
| Jun 30, 2025 | 617.21 Mn |
| Mar 31, 2025 | 559.43 Mn |
| Dec 31, 2024 | 472.02 Mn |
| Sep 30, 2024 | 540.72 Mn |
| Jun 30, 2024 | 793.77 Mn |
| Mar 31, 2024 | 270.02 Mn |
| Dec 31, 2023 | 560.18 Mn |
| Sep 30, 2023 | 799.53 Mn |
| Jun 30, 2023 | 679.99 Mn |
| Mar 31, 2023 | 1.11 Bn |
| Dec 31, 2022 | 420.71 Mn |
| Sep 30, 2022 | 710.32 Mn |
| Jun 30, 2022 | 1.38 Bn |
| Mar 31, 2022 | 775.21 Mn |
| Dec 31, 2021 | 468.89 Mn |
O Reilly Automotive Shares Repurchased 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-repurchased&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-repurchased", "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-repurchased&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();