O Reilly Automotive (ORLY) Free Cash Flow (2009 - 2026)
O Reilly Automotive's Free Cash Flow was $698.9 million in Q2 2026, up 53.2% from $456.11 million a year earlier but down 11.4% from the prior quarter.
O Reilly Automotive (ORLY) Free Cash Flow (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, O Reilly Automotive's Free Cash Flow was $2.16 billion through Jun 30, 2026, up 21.7% year-over-year; for FY2025, it was $1.59 billion, down 21.4% from FY2024.
- Free Cash Flow has now declined for four consecutive years, with a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- In earlier years, Free Cash Flow was $2.03 billion in FY2024 (-0.1%), $2.03 billion in FY2023 (-21.6%), $2.58 billion in FY2022 (-6.5%) and $2.76 billion in FY2021 (+16.6%).
- Quarterly Free Cash Flow has moved between $264.12 million (Q4 2023) and $801.15 million (Q3 2022) over five years.
- Compared with a year earlier, Free Cash Flow has increased for three straight quarters, with growth averaging 9.0% over the last eight quarters.
- The best year-over-year quarter for Free Cash Flow over five years was Q1 2026 (growth of 68.4%); the worst was Q4 2023 (a decline of 57.4%).
- Per Business Quant data, ORLY's Free Cash Flow in the three quarters before Q2 2026 was $788.47 million (Q1 2026), $364.46 million (Q4 2025) and $304.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | -34.84 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 4.51 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 1.73 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 3.12 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 491.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 624.50 Mn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 2.43 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 250.52 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 693.43 Mn |
| 10 | JD.com | 34.34 Bn | -76.55 Bn | 8.74 Bn | 5.56 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 250.52 Mn |
| Jun 30, 2026 | 698.90 Mn |
| Mar 31, 2026 | 788.47 Mn |
| Dec 31, 2025 | 364.46 Mn |
| Sep 30, 2025 | 304.44 Mn |
| Jun 30, 2025 | 456.11 Mn |
| Mar 31, 2025 | 468.17 Mn |
| Dec 31, 2024 | 334.02 Mn |
| Sep 30, 2024 | 513.71 Mn |
| Jun 30, 2024 | 723.49 Mn |
| Mar 31, 2024 | 454.98 Mn |
| Dec 31, 2023 | 264.12 Mn |
| Sep 30, 2023 | 573.27 Mn |
| Jun 30, 2023 | 699.93 Mn |
| Mar 31, 2023 | 490.50 Mn |
| Dec 31, 2022 | 620.71 Mn |
| Sep 30, 2022 | 801.15 Mn |
| Jun 30, 2022 | 577.16 Mn |
| Mar 31, 2022 | 585.90 Mn |
| Dec 31, 2021 | 539.82 Mn |
O Reilly Automotive Free Cash Flow 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=free-cash-flow&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();