O Reilly Automotive (ORLY) EBITDA Margin (2011 - 2026)
O Reilly Automotive (ORLY) posted EBITDA Margin of 23.02% for Q2 2026, up 0.01 percentage points from 23.01% a year earlier and up 1.55 percentage points from the prior quarter.
O Reilly Automotive (ORLY) EBITDA Margin (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at O Reilly Automotive was 22.49%, up 0.39 percentage points year-over-year; for FY2025, it was 22.38%, up 0.12 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of -1.22 percentage points (FY2020 to FY2025).
- In prior years, O Reilly Automotive's EBITDA Margin was 22.26% in FY2024 (-0.51 pp), 22.77% in FY2023 (-0.25 pp), 23.02% in FY2022 (-1.36 pp) and 24.38% in FY2021 (+0.78 pp).
- Quarterly EBITDA Margin has run from a low of 20.92% in Q1 2025 to a high of 24.10% in Q2 2022 over five years.
- On a year-over-year basis, EBITDA Margin has increased in each of the last five quarters, with an average year-over-year change of -0.04 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q4 2021, with a gain of 1.45 percentage points; the weakest was Q1 2022, with a drop of 2.11 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 21.46% (Q1 2026), 21.88% (Q4 2025) and 23.52% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 24.28% |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | 16.60% |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | 15.33% |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | 16.17% |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | 19.85% |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | 23.02% |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | 12.60% |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | 9.75% |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | 23.36% |
| 10 | JD.com | 40.22 Bn | -80.66 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.02% |
| Mar 31, 2026 | 21.46% |
| Dec 31, 2025 | 21.88% |
| Sep 30, 2025 | 23.52% |
| Jun 30, 2025 | 23.01% |
| Mar 31, 2025 | 20.92% |
| Dec 31, 2024 | 21.07% |
| Sep 30, 2024 | 23.25% |
| Jun 30, 2024 | 22.90% |
| Mar 31, 2024 | 21.72% |
| Dec 31, 2023 | 21.73% |
| Sep 30, 2023 | 23.87% |
| Jun 30, 2023 | 23.42% |
| Mar 31, 2023 | 21.89% |
| Dec 31, 2022 | 21.49% |
| Sep 30, 2022 | 23.57% |
| Jun 30, 2022 | 24.10% |
| Mar 31, 2022 | 22.86% |
| Dec 31, 2021 | 23.32% |
| Sep 30, 2021 | 23.98% |
O Reilly Automotive EBITDA Margin 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-margin&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();