O Reilly Automotive (ORLY) EBITDA (2011 - 2026)
O Reilly Automotive (ORLY) reported EBITDA of $1.12 billion for Q2 2026, up 8.1% from $1.04 billion a year earlier and up 15.1% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) EBITDA (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, O Reilly Automotive's EBITDA came in at $4.17 billion, up 10.4% year-over-year; for FY2025, it came in at $3.97 billion, up 7.0% from FY2024.
- EBITDA has increased for 16 consecutive years, with a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- By year, EBITDA came in at $3.71 billion in FY2024 (+3.3%), $3.6 billion in FY2023 (+8.5%), $3.31 billion in FY2022 (+2.1%) and $3.25 billion in FY2021 (+18.7%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q1 2011.
- Year over year, EBITDA has now increased in each of the last 17 quarters, with growth averaging 6.7% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q4 2021 (growth of 24.1%); the low point was Q1 2022 (a decline of 2.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $976.97 million (Q1 2026), $964.01 million (Q4 2025) and $1.1 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 753.00 Mn |
| 10 | JD.com | 38.09 Bn | -82.11 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Bn |
| Mar 31, 2026 | 978.86 Mn |
| Dec 31, 2025 | 965.89 Mn |
| Sep 30, 2025 | 1.11 Bn |
| Jun 30, 2025 | 1.04 Bn |
| Mar 31, 2025 | 865.54 Mn |
| Dec 31, 2024 | 862.96 Mn |
| Sep 30, 2024 | 1.01 Bn |
| Jun 30, 2024 | 978.14 Mn |
| Mar 31, 2024 | 863.72 Mn |
| Dec 31, 2023 | 832.57 Mn |
| Sep 30, 2023 | 1.00 Bn |
| Jun 30, 2023 | 952.92 Mn |
| Mar 31, 2023 | 811.61 Mn |
| Dec 31, 2022 | 783.32 Mn |
| Sep 30, 2022 | 895.45 Mn |
| Jun 30, 2022 | 884.81 Mn |
| Mar 31, 2022 | 753.56 Mn |
| Dec 31, 2021 | 767.54 Mn |
| Sep 30, 2021 | 834.42 Mn |
API Access
O Reilly Automotive EBITDA 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=ebitda&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();