O Reilly Automotive (ORLY) Property, Plant & Equipment (Net) (2009 - 2026)
O Reilly Automotive's Property, Plant & Equipment (Net) came in at $6.55 billion for Q2 2026, up 10.1% from $5.95 billion a year earlier and up 2.7% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, O Reilly Automotive's Property, Plant & Equipment (Net) was $6.26 billion, up 11.6% from FY2024.
- Property, Plant & Equipment (Net) has increased in each of the last 16 years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $5.61 billion in FY2024 (+11.3%), $5.04 billion in FY2023 (+13.9%), $4.42 billion in FY2022 (+5.0%) and $4.21 billion in FY2021 (+2.9%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2009.
- Year-over-year, Property, Plant & Equipment (Net) has increased for 20 consecutive quarters, with growth averaging 11.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Property, Plant & Equipment (Net) ran from 2.8% in Q2 2022 to 14.0% in Q1 2024.
- Business Quant data shows ORLY's Property, Plant & Equipment (Net) at $6.37 billion (Q1 2026), $6.26 billion (Q4 2025) and $6.13 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 18.28 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.26 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 34.77 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.86 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 6.55 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 7.80 Bn |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn | 14.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.55 Bn |
| Mar 31, 2026 | 6.37 Bn |
| Dec 31, 2025 | 6.26 Bn |
| Sep 30, 2025 | 6.13 Bn |
| Jun 30, 2025 | 5.95 Bn |
| Mar 31, 2025 | 5.77 Bn |
| Dec 31, 2024 | 5.61 Bn |
| Sep 30, 2024 | 5.44 Bn |
| Jun 30, 2024 | 5.30 Bn |
| Mar 31, 2024 | 5.20 Bn |
| Dec 31, 2023 | 5.04 Bn |
| Sep 30, 2023 | 4.89 Bn |
| Jun 30, 2023 | 4.70 Bn |
| Mar 31, 2023 | 4.56 Bn |
| Dec 31, 2022 | 4.42 Bn |
| Sep 30, 2022 | 4.34 Bn |
| Jun 30, 2022 | 4.28 Bn |
| Mar 31, 2022 | 4.24 Bn |
| Dec 31, 2021 | 4.21 Bn |
| Sep 30, 2021 | 4.20 Bn |
API Access
O Reilly Automotive Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();