O Reilly Automotive (ORLY) EBIT (2009 - 2026)
O Reilly Automotive (ORLY) reported EBIT of $985.75 million for Q2 2026, up 7.8% from $914.47 million a year earlier and up 17.1% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) EBIT (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, O Reilly Automotive's EBIT came in at $3.63 billion, up 10.4% year-over-year; for FY2025, it came in at $3.46 billion, up 6.4% from FY2024.
- EBIT has increased for 16 consecutive years, with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- By year, EBIT came in at $3.25 billion in FY2024 (+2.0%), $3.19 billion in FY2023 (+7.8%), $2.95 billion in FY2022 (+1.3%) and $2.92 billion in FY2021 (+20.6%).
- The Q2 2026 figure ranks as the highest quarterly EBIT in data going back to Q1 2009.
- Year over year, EBIT has now increased in each of the last five quarters, with growth averaging 6.2% over the last eight quarters.
- The high point for year-over-year EBIT in five years was Q4 2021 (growth of 26.5%); the low point was Q1 2022 (a decline of 3.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $841.61 million (Q1 2026), $828.61 million (Q4 2025) and $976.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.10 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 2.56 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 985.75 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 680.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 923.76 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | 667.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 985.75 Mn |
| Mar 31, 2026 | 841.61 Mn |
| Dec 31, 2025 | 828.61 Mn |
| Sep 30, 2025 | 976.07 Mn |
| Jun 30, 2025 | 914.47 Mn |
| Mar 31, 2025 | 741.47 Mn |
| Dec 31, 2024 | 738.65 Mn |
| Sep 30, 2024 | 896.73 Mn |
| Jun 30, 2024 | 863.30 Mn |
| Mar 31, 2024 | 752.48 Mn |
| Dec 31, 2023 | 718.74 Mn |
| Sep 30, 2023 | 897.22 Mn |
| Jun 30, 2023 | 853.77 Mn |
| Mar 31, 2023 | 716.65 Mn |
| Dec 31, 2022 | 682.22 Mn |
| Sep 30, 2022 | 804.19 Mn |
| Jun 30, 2022 | 798.55 Mn |
| Mar 31, 2022 | 669.53 Mn |
| Dec 31, 2021 | 675.88 Mn |
| Sep 30, 2021 | 754.60 Mn |
API Access
O Reilly Automotive EBIT 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=ebit&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();