O Reilly Automotive (ORLY) Revenue (2009 - 2026)
O Reilly Automotive (ORLY) posted Revenue of $4.89 billion for Q2 2026, up 8.1% from $4.53 billion a year earlier and up 7.3% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at O Reilly Automotive was $18.57 billion, up 8.5% year-over-year; for FY2025, it was $17.78 billion, up 6.4% from FY2024.
- Annual Revenue has increased for 16 consecutive years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In prior years, O Reilly Automotive's Revenue was $16.71 billion in FY2024 (+5.7%), $15.81 billion in FY2023 (+9.7%), $14.41 billion in FY2022 (+8.1%) and $13.33 billion in FY2021 (+14.8%).
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q1 2009.
- On a year-over-year basis, Revenue has increased in each of the last 66 quarters, with growth averaging 6.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 3.8% (Q3 2024) to 16.4% (Q4 2021).
- According to Business Quant data, Revenue for the three prior quarters was $4.56 billion (Q1 2026), $4.41 billion (Q4 2025) and $4.71 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 6.26 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 26.54 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 4.89 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 7.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 4.84 Bn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | 51.05 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.89 Bn |
| Mar 31, 2026 | 4.56 Bn |
| Dec 31, 2025 | 4.41 Bn |
| Sep 30, 2025 | 4.71 Bn |
| Jun 30, 2025 | 4.53 Bn |
| Mar 31, 2025 | 4.14 Bn |
| Dec 31, 2024 | 4.10 Bn |
| Sep 30, 2024 | 4.36 Bn |
| Jun 30, 2024 | 4.27 Bn |
| Mar 31, 2024 | 3.98 Bn |
| Dec 31, 2023 | 3.83 Bn |
| Sep 30, 2023 | 4.20 Bn |
| Jun 30, 2023 | 4.07 Bn |
| Mar 31, 2023 | 3.71 Bn |
| Dec 31, 2022 | 3.64 Bn |
| Sep 30, 2022 | 3.80 Bn |
| Jun 30, 2022 | 3.67 Bn |
| Mar 31, 2022 | 3.30 Bn |
| Dec 31, 2021 | 3.29 Bn |
| Sep 30, 2021 | 3.48 Bn |
API Access
O Reilly Automotive Revenue 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=revenue&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();