O Reilly Automotive (ORLY) Change in Acquisitions & Divestments (2019 - 2024)
O Reilly Automotive (ORLY) recorded Change in Acquisitions & Divestments of -$1.49 million in Q4 2024.
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Analysis
O Reilly Automotive (ORLY) Change in Acquisitions & Divestments (2019 - 2024) Analysis & Trends
Starting with Q2 2019, O Reilly Automotive's Change in Acquisitions & Divestments history includes 16 quarters.
- Across earlier years, Change in Acquisitions & Divestments came in at $4.15 million in FY2023 (-97.8%), $188.28 million in FY2022 (+4.4%), $180.33 million in FY2021 (+9.9%) and $164.11 million in FY2020 (+385.8%).
- The Q4 2024 figure is the highest quarterly Change in Acquisitions & Divestments in data going back to Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -1.49 Mn |
| Sep 30, 2023 | 1,000.00 |
| Jun 30, 2023 | 4.15 Mn |
| Dec 31, 2022 | 183.02 Mn |
| Sep 30, 2022 | 1.18 Mn |
| Mar 31, 2022 | 4.08 Mn |
| Dec 31, 2021 | 178.54 Mn |
| Sep 30, 2021 | 27,000.00 |
| Jun 30, 2021 | 1.76 Mn |
| Mar 31, 2021 | 6,000.00 |
| Dec 31, 2020 | 68.82 Mn |
| Jun 30, 2020 | 33,000.00 |
| Mar 31, 2020 | 95.26 Mn |
| Dec 31, 2019 | 15.79 Mn |
| Sep 30, 2019 | 16.27 Mn |
| Jun 30, 2019 | 1.72 Mn |
API Access
O Reilly Automotive Change in Acquisitions & Divestments 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-acquisitions-and-divestments&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-acquisitions-and-divestments", "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-acquisitions-and-divestments&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();