O Reilly Automotive (ORLY) Cash & Equivalents (2009 - 2026)
O Reilly Automotive (ORLY) posted Cash & Equivalents of $262.18 million for Q2 2026, up 32.0% from $198.61 million a year earlier and up 3.8% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, O Reilly Automotive's Cash & Equivalents came in at $193.79 million, up 48.8% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -16.1% (FY2020 to FY2025).
- In prior years, O Reilly Automotive's Cash & Equivalents was $130.25 million in FY2024 (-53.3%), $279.13 million in FY2023 (+157.1%), $108.58 million in FY2022 (-70.0%) and $362.11 million in FY2021 (-22.2%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents since Q4 2023.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last six quarters, with growth averaging 40.9% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2023, with growth of 157.1%; the weakest was Q3 2022, with a decline of 85.1%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $252.63 million (Q1 2026), $193.79 million (Q4 2025) and $204.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 262.18 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 253.73 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | 13.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 262.18 Mn |
| Mar 31, 2026 | 252.63 Mn |
| Dec 31, 2025 | 193.79 Mn |
| Sep 30, 2025 | 204.51 Mn |
| Jun 30, 2025 | 198.61 Mn |
| Mar 31, 2025 | 191.25 Mn |
| Dec 31, 2024 | 130.25 Mn |
| Sep 30, 2024 | 115.61 Mn |
| Jun 30, 2024 | 145.04 Mn |
| Mar 31, 2024 | 89.26 Mn |
| Dec 31, 2023 | 279.13 Mn |
| Sep 30, 2023 | 82.66 Mn |
| Jun 30, 2023 | 57.88 Mn |
| Mar 31, 2023 | 59.87 Mn |
| Dec 31, 2022 | 108.58 Mn |
| Sep 30, 2022 | 67.06 Mn |
| Jun 30, 2022 | 253.90 Mn |
| Mar 31, 2022 | 191.55 Mn |
| Dec 31, 2021 | 362.11 Mn |
| Sep 30, 2021 | 449.30 Mn |
API Access
O Reilly Automotive Cash & Equivalents 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=cash-and-equivalents&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();