O Reilly Automotive (ORLY) Current Assets (2009 - 2026)
O Reilly Automotive (ORLY) posted Current Assets of $7.2 billion for Q2 2026, up 14.0% from $6.32 billion a year earlier and up 3.3% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, O Reilly Automotive's Current Assets came in at $6.74 billion, up 15.5% from FY2024.
- Annual Current Assets has increased for ten consecutive years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In prior years, O Reilly Automotive's Current Assets was $5.84 billion in FY2024 (+5.1%), $5.56 billion in FY2023 (+10.1%), $5.05 billion in FY2022 (+12.1%) and $4.5 billion in FY2021 (+0.1%).
- The Q2 2026 figure stands as the highest quarterly Current Assets in data going back to Q4 2009.
- On a year-over-year basis, Current Assets has increased in each of the last 17 quarters, with growth averaging 11.3% over the last eight quarters.
- The strongest year-over-year quarter for Current Assets in the past five years was Q3 2025, with growth of 15.8%; the weakest was Q3 2021, with a decline of 17.6%.
- According to Business Quant data, Current Assets for the three prior quarters was $6.97 billion (Q1 2026), $6.74 billion (Q4 2025) and $6.6 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 249.26 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 37.72 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 15.33 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 23.34 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 7.88 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 20.93 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 7.20 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 8.01 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 8.93 Bn |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn | 59.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.20 Bn |
| Mar 31, 2026 | 6.97 Bn |
| Dec 31, 2025 | 6.74 Bn |
| Sep 30, 2025 | 6.60 Bn |
| Jun 30, 2025 | 6.32 Bn |
| Mar 31, 2025 | 6.03 Bn |
| Dec 31, 2024 | 5.84 Bn |
| Sep 30, 2024 | 5.70 Bn |
| Jun 30, 2024 | 5.68 Bn |
| Mar 31, 2024 | 5.60 Bn |
| Dec 31, 2023 | 5.56 Bn |
| Sep 30, 2023 | 5.38 Bn |
| Jun 30, 2023 | 5.31 Bn |
| Mar 31, 2023 | 5.19 Bn |
| Dec 31, 2022 | 5.05 Bn |
| Sep 30, 2022 | 4.76 Bn |
| Jun 30, 2022 | 4.80 Bn |
| Mar 31, 2022 | 4.52 Bn |
| Dec 31, 2021 | 4.50 Bn |
| Sep 30, 2021 | 4.56 Bn |
API Access
O Reilly Automotive Current 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=current-assets&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-assets&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();