O Reilly Automotive (ORLY) EBT (2009 - 2026)
O Reilly Automotive (ORLY) posted EBT of $924.08 million for Q2 2026, up 7.3% from $861.46 million a year earlier and up 18.5% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) EBT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBT at O Reilly Automotive was $3.4 billion, up 10.4% year-over-year; for FY2025, it was $3.24 billion, up 6.4% from FY2024.
- Annual EBT has increased for eight consecutive years, with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- In prior years, O Reilly Automotive's EBT was $3.05 billion in FY2024 (+1.3%), $3 billion in FY2023 (+7.4%), $2.8 billion in FY2022 (+0.6%) and $2.78 billion in FY2021 (+22.7%).
- The Q2 2026 figure stands as the highest quarterly EBT in data going back to Q1 2009.
- On a year-over-year basis, EBT has increased in each of the last five quarters, with growth averaging 6.1% over the last eight quarters.
- The strongest year-over-year quarter for EBT in the past five years was Q4 2021, with growth of 28.9%; the weakest was Q1 2022, with a decline of 3.4%.
- According to Business Quant data, EBT for the three prior quarters was $780.09 million (Q1 2026), $770.72 million (Q4 2025) and $923.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 80.86 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 6.32 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.02 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 3.18 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.13 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 2.46 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 924.08 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 579.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 813.27 Mn |
| 10 | JD.com | 32.28 Bn | -77.90 Bn | 8.71 Bn | 1.57 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 924.08 Mn |
| Mar 31, 2026 | 780.09 Mn |
| Dec 31, 2025 | 770.72 Mn |
| Sep 30, 2025 | 923.65 Mn |
| Jun 30, 2025 | 861.46 Mn |
| Mar 31, 2025 | 684.35 Mn |
| Dec 31, 2024 | 685.20 Mn |
| Sep 30, 2024 | 847.92 Mn |
| Jun 30, 2024 | 811.56 Mn |
| Mar 31, 2024 | 700.39 Mn |
| Dec 31, 2023 | 671.53 Mn |
| Sep 30, 2023 | 846.67 Mn |
| Jun 30, 2023 | 809.13 Mn |
| Mar 31, 2023 | 677.42 Mn |
| Dec 31, 2022 | 646.25 Mn |
| Sep 30, 2022 | 761.85 Mn |
| Jun 30, 2022 | 757.30 Mn |
| Mar 31, 2022 | 633.26 Mn |
| Dec 31, 2021 | 644.22 Mn |
| Sep 30, 2021 | 720.53 Mn |
API Access
O Reilly Automotive EBT 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=ebt&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();