O Reilly Automotive (ORLY) EPS (Diluted) (2009 - 2026)
O Reilly Automotive (ORLY) reported EPS (Diluted) of $0.86 for Q2 2026, up 10.8% from $0.78 a year earlier and up 20.3% from the prior quarter.
O Reilly Automotive (ORLY) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, O Reilly Automotive's EPS (Diluted) came in at $3.20, up 13.3% year-over-year; for FY2025, it was $2.97, up 9.4% from FY2024.
- EPS (Diluted) has increased for 16 consecutive years, with a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- By year, EPS (Diluted) came in at $2.71 in FY2024 (+5.7%), $2.56 in FY2023 (+15.0%), $2.23 in FY2022 (+7.6%) and $2.07 in FY2021 (+32.1%).
- The Q2 2026 figure ranks as the highest quarterly EPS (Diluted) in data going back to Q1 2009.
- Year over year, EPS (Diluted) has now increased in each of the last 25 quarters, with growth averaging 9.1% over the last eight quarters.
- Across the past five years, year-over-year growth in EPS (Diluted) ran from 1.5% in Q1 2025 to 41.3% in Q4 2021.
- Per Business Quant data, the three quarters before Q2 2026 came in at $0.72 (Q1 2026), $0.71 (Q4 2025) and $0.85 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 5.75 |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 4.79 |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 1.36 |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.28 |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 2.66 |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 4.11 |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 0.86 |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 0.42 |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 38.07 |
| 10 | JD.com | 32.28 Bn | -77.90 Bn | 8.71 Bn | 0.70 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.86 |
| Mar 31, 2026 | 0.72 |
| Dec 31, 2025 | 0.71 |
| Sep 30, 2025 | 0.85 |
| Jun 30, 2025 | 0.78 |
| Mar 31, 2025 | 0.62 |
| Dec 31, 2024 | 0.63 |
| Sep 30, 2024 | 0.76 |
| Jun 30, 2024 | 0.70 |
| Mar 31, 2024 | 0.61 |
| Dec 31, 2023 | 0.60 |
| Sep 30, 2023 | 0.71 |
| Jun 30, 2023 | 0.68 |
| Mar 31, 2023 | 0.55 |
| Dec 31, 2022 | 0.54 |
| Sep 30, 2022 | 0.61 |
| Jun 30, 2022 | 0.59 |
| Mar 31, 2022 | 0.48 |
| Dec 31, 2021 | 0.50 |
| Sep 30, 2021 | 0.54 |
O Reilly Automotive EPS (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=eps-diluted&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();