O Reilly Automotive (ORLY) Change in Property, Plant and Equipment (2009 - 2026)
O Reilly Automotive (ORLY) recorded Change in Property, Plant and Equipment of -$304 million in Q2 2026, compared with -$299.99 million a year earlier.
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Analysis
O Reilly Automotive (ORLY) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
On a TTM basis, O Reilly Automotive's Change in Property, Plant and Equipment came in at -$1.1 billion as of Jun 30, 2026; for FY2025, it came in at -$1.14 billion.
- Across earlier years, Change in Property, Plant and Equipment came in at -$1.01 billion in FY2024, -$988.58 million in FY2023, -$548.54 million in FY2022 and -$433.36 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Change in Property, Plant and Equipment in data going back to Q1 2009.
- Per Business Quant, the preceding three quarters came in at -$242.91 million (Q1 2026), -$255.07 million (Q4 2025) and -$297.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | -75.88 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | -880.00 Mn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | -497.00 Mn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | -540.00 Mn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | -304.00 Mn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | -251.26 Mn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | -1.37 Bn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | -64.00 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | -436.10 Mn |
| 10 | JD.com | 41.49 Bn | -78.71 Bn | 8.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -304.00 Mn |
| Mar 31, 2026 | -242.91 Mn |
| Dec 31, 2025 | -255.07 Mn |
| Sep 30, 2025 | -297.91 Mn |
| Jun 30, 2025 | -299.99 Mn |
| Mar 31, 2025 | -285.00 Mn |
| Dec 31, 2024 | -284.39 Mn |
| Sep 30, 2024 | -255.57 Mn |
| Jun 30, 2024 | -221.69 Mn |
| Mar 31, 2024 | -245.39 Mn |
| Dec 31, 2023 | -245.08 Mn |
| Sep 30, 2023 | -289.61 Mn |
| Jun 30, 2023 | -233.32 Mn |
| Mar 31, 2023 | -220.56 Mn |
| Dec 31, 2022 | -170.55 Mn |
| Sep 30, 2022 | -157.29 Mn |
| Jun 30, 2022 | -119.87 Mn |
| Mar 31, 2022 | -100.83 Mn |
| Dec 31, 2021 | -99.32 Mn |
| Sep 30, 2021 | -116.00 Mn |
API Access
O Reilly Automotive Change in Property, Plant and Equipment 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-property-plant-and-equipment&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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-property-plant-and-equipment&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();