O Reilly Automotive (ORLY) Return on Assets [ROA] (2010 - 2026)
O Reilly Automotive's Return on Assets [ROA] came in at 15.44% for Q2 2026, down 0.14 percentage points from 15.58% a year earlier and down 0.11 percentage points from the prior quarter.
O Reilly Automotive (ORLY) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2025, O Reilly Automotive's Return on Assets [ROA] was 16.15%, down 0.44 percentage points from FY2024.
- Return on Assets [ROA] has declined in each of the last four years, though with a five-year change of +0.44 percentage points (FY2020 to FY2025).
- Going back by year, Return on Assets [ROA] was 16.59% in FY2024 (-1.12 pp), 17.71% in FY2023 (-0.14 pp), 17.85% in FY2022 (-0.72 pp) and 18.57% in FY2021 (+2.86 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Assets [ROA] since Q4 2020.
- Year-over-year, Return on Assets [ROA] has declined for 15 consecutive quarters, with an average year-over-year change of -0.75 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q4 2021 (a gain of 3.87 percentage points), and the weakest in Q1 2025 (a drop of 1.17 percentage points).
- Business Quant data shows ORLY's Return on Assets [ROA] at 15.56% (Q1 2026), 15.47% (Q4 2025) and 15.48% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 13.15% |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 13.10% |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 16.56% |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 11.99% |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 16.86% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 7.42% |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 15.44% |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 15.05% |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 11.98% |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | 2.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.44% |
| Mar 31, 2026 | 15.56% |
| Dec 31, 2025 | 15.47% |
| Sep 30, 2025 | 15.48% |
| Jun 30, 2025 | 15.58% |
| Mar 31, 2025 | 15.75% |
| Dec 31, 2024 | 16.20% |
| Sep 30, 2024 | 16.49% |
| Jun 30, 2024 | 16.59% |
| Mar 31, 2024 | 16.93% |
| Dec 31, 2023 | 17.11% |
| Sep 30, 2023 | 17.31% |
| Jun 30, 2023 | 17.21% |
| Mar 31, 2023 | 17.25% |
| Dec 31, 2022 | 17.47% |
| Sep 30, 2022 | 17.80% |
| Jun 30, 2022 | 17.93% |
| Mar 31, 2022 | 18.27% |
| Dec 31, 2021 | 18.42% |
| Sep 30, 2021 | 17.18% |
O Reilly Automotive Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();