O Reilly Automotive (ORLY) Change in Cash (2009 - 2026)
O Reilly Automotive (ORLY) posted Change in Cash of $9.55 million for Q2 2026, up 29.7% from $7.37 million a year earlier but down 83.8% from the prior quarter.
O Reilly Automotive (ORLY) Change in Cash (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Cash at O Reilly Automotive was $63.57 million, up 18.7% year-over-year; for FY2025, it came in at $63.55 million.
- Annual Change in Cash shows a five-year compound annual growth rate of -31.6% (FY2020 to FY2025).
- In prior years, O Reilly Automotive's Change in Cash was -$148.89 million in FY2024, $170.55 million in FY2023, -$253.53 million in FY2022 and -$103.53 million in FY2021.
- Quarterly Change in Cash has run from a low of -$189.87 million in Q1 2024 to a high of $196.47 million in Q4 2023 over five years.
- On a year-over-year basis, Change in Cash increased in 1 of the last four quarters, with an average decline of 38.3%.
- According to Business Quant data, Change in Cash for the three prior quarters was $58.84 million (Q1 2026), -$10.72 million (Q4 2025) and $5.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | -23.77 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 500.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 424.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 2.39 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 157.76 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.88 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 9.55 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 231.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | -31.76 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | -1.90 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.55 Mn |
| Mar 31, 2026 | 58.84 Mn |
| Dec 31, 2025 | -10.72 Mn |
| Sep 30, 2025 | 5.90 Mn |
| Jun 30, 2025 | 7.37 Mn |
| Mar 31, 2025 | 61.00 Mn |
| Dec 31, 2024 | 14.63 Mn |
| Sep 30, 2024 | -29.43 Mn |
| Jun 30, 2024 | 55.78 Mn |
| Mar 31, 2024 | -189.87 Mn |
| Dec 31, 2023 | 196.47 Mn |
| Sep 30, 2023 | 24.78 Mn |
| Jun 30, 2023 | -1.99 Mn |
| Mar 31, 2023 | -48.71 Mn |
| Dec 31, 2022 | 41.52 Mn |
| Sep 30, 2022 | -186.84 Mn |
| Jun 30, 2022 | 62.36 Mn |
| Mar 31, 2022 | -170.57 Mn |
| Dec 31, 2021 | -87.19 Mn |
| Sep 30, 2021 | -182.32 Mn |
O Reilly Automotive Change in Cash 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=change-in-cash&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();