O Reilly Automotive (ORLY) Return on Capital Employed [ROCE] (2010 - 2026)
O Reilly Automotive (ORLY) reported Return on Capital Employed [ROCE] of 47.86% for Q2 2026, down 0.29 percentage points from 48.15% a year earlier but up 0.47 percentage points from the prior quarter.
O Reilly Automotive (ORLY) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, O Reilly Automotive posted Return on Capital Employed [ROCE] of 49.86%, down 3.44 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined for three consecutive years, though with a five-year change of +8.82 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 53.30% in FY2024 (-3.71 pp), 57.01% in FY2023 (-0.81 pp), 57.82% in FY2022 (+7.38 pp) and 50.44% in FY2021 (+9.40 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of 45.34% in Q4 2025 and a high of 56.42% in Q3 2023.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last 11 quarters, with an average year-over-year change of -3.40 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q4 2021 (a gain of 13.97 percentage points); the low point was Q3 2025 (a drop of 5.37 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 47.39% (Q1 2026), 45.34% (Q4 2025) and 45.92% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 11.49% |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 28.54% |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 34.00% |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 30.02% |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 30.97% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 15.67% |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 47.86% |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 18.45% |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 33.85% |
| 10 | JD.com | 31.99 Bn | -78.19 Bn | 8.71 Bn | 0.46% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.86% |
| Mar 31, 2026 | 47.39% |
| Dec 31, 2025 | 45.34% |
| Sep 30, 2025 | 45.92% |
| Jun 30, 2025 | 48.15% |
| Mar 31, 2025 | 49.22% |
| Dec 31, 2024 | 50.39% |
| Sep 30, 2024 | 51.29% |
| Jun 30, 2024 | 52.29% |
| Mar 31, 2024 | 52.35% |
| Dec 31, 2023 | 52.66% |
| Sep 30, 2023 | 56.42% |
| Jun 30, 2023 | 56.28% |
| Mar 31, 2023 | 55.14% |
| Dec 31, 2022 | 55.03% |
| Sep 30, 2022 | 55.51% |
| Jun 30, 2022 | 52.69% |
| Mar 31, 2022 | 52.00% |
| Dec 31, 2021 | 49.62% |
| Sep 30, 2021 | 47.21% |
O Reilly Automotive Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();