O Reilly Automotive (ORLY) Assets (2009 - 2026)
O Reilly Automotive's Assets came in at $17.39 billion for Q2 2026, up 9.9% from $15.82 billion a year earlier and up 2.7% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, O Reilly Automotive's Assets was $16.54 billion, up 11.0% from FY2024.
- Assets has increased in each of the last 16 years, with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Going back by year, Assets was $14.89 billion in FY2024 (+7.4%), $13.87 billion in FY2023 (+9.9%), $12.63 billion in FY2022 (+7.8%) and $11.72 billion in FY2021 (+1.1%).
- The Q2 2026 figure represents the highest quarterly Assets in data going back to Q4 2009.
- Year-over-year, Assets has increased for 17 consecutive quarters, with growth averaging 9.5% over the last eight quarters.
- The fastest year-over-year change in Assets over five years came in Q3 2025 (growth of 11.7%), and the weakest in Q3 2021 (a decline of 5.7%).
- Business Quant data shows ORLY's Assets at $16.94 billion (Q1 2026), $16.54 billion (Q4 2025) and $16.28 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 1,095.69 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 109.38 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 37.12 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 55.88 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 15.98 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 61.24 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 17.39 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 14.55 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 20.92 Bn |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn | 106.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.39 Bn |
| Mar 31, 2026 | 16.94 Bn |
| Dec 31, 2025 | 16.54 Bn |
| Sep 30, 2025 | 16.28 Bn |
| Jun 30, 2025 | 15.82 Bn |
| Mar 31, 2025 | 15.29 Bn |
| Dec 31, 2024 | 14.89 Bn |
| Sep 30, 2024 | 14.58 Bn |
| Jun 30, 2024 | 14.39 Bn |
| Mar 31, 2024 | 14.21 Bn |
| Dec 31, 2023 | 13.87 Bn |
| Sep 30, 2023 | 13.55 Bn |
| Jun 30, 2023 | 13.28 Bn |
| Mar 31, 2023 | 12.97 Bn |
| Dec 31, 2022 | 12.63 Bn |
| Sep 30, 2022 | 12.24 Bn |
| Jun 30, 2022 | 12.07 Bn |
| Mar 31, 2022 | 11.76 Bn |
| Dec 31, 2021 | 11.72 Bn |
| Sep 30, 2021 | 11.79 Bn |
API Access
O Reilly Automotive Assets 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=assets&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();