O Reilly Automotive (ORLY) Cash from Operations (2009 - 2026)
O Reilly Automotive's Cash from Operations was $1.01 billion in Q2 2026, up 33.0% from $756.85 million a year earlier but down 2.6% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Cash from Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, O Reilly Automotive's Cash from Operations was $3.29 billion through Jun 30, 2026, up 13.1% year-over-year; for FY2025, it was $2.76 billion, down 9.4% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $3.05 billion in FY2024 (+0.5%), $3.03 billion in FY2023 (-3.6%), $3.15 billion in FY2022 (-1.8%) and $3.21 billion in FY2021 (+13.1%).
- Quarterly Cash from Operations has moved between $516.43 million (Q4 2023) and $1.03 billion (Q1 2026) over five years.
- Compared with a year earlier, Cash from Operations has increased for three straight quarters, with growth averaging 6.0% over the last eight quarters.
- The best year-over-year quarter for Cash from Operations over five years was Q1 2026 (growth of 36.8%); the worst was Q4 2023 (a decline of 35.1%).
- Per Business Quant data, ORLY's Cash from Operations in the three quarters before Q2 2026 was $1.03 billion (Q1 2026), $633.49 million (Q4 2025) and $616.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 45.39 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 5.39 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 2.23 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 3.66 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 875.76 Mn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 3.80 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 1.01 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 238.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 801.99 Mn |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn | 5.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 Bn |
| Mar 31, 2026 | 1.03 Bn |
| Dec 31, 2025 | 633.49 Mn |
| Sep 30, 2025 | 616.54 Mn |
| Jun 30, 2025 | 756.85 Mn |
| Mar 31, 2025 | 755.12 Mn |
| Dec 31, 2024 | 624.49 Mn |
| Sep 30, 2024 | 772.02 Mn |
| Jun 30, 2024 | 948.86 Mn |
| Mar 31, 2024 | 704.22 Mn |
| Dec 31, 2023 | 516.43 Mn |
| Sep 30, 2023 | 866.29 Mn |
| Jun 30, 2023 | 937.61 Mn |
| Mar 31, 2023 | 713.76 Mn |
| Dec 31, 2022 | 795.23 Mn |
| Sep 30, 2022 | 961.05 Mn |
| Jun 30, 2022 | 702.09 Mn |
| Mar 31, 2022 | 689.89 Mn |
| Dec 31, 2021 | 641.98 Mn |
| Sep 30, 2021 | 852.50 Mn |
API Access
O Reilly Automotive Cash from Operations 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-from-operations&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();