O Reilly Automotive (ORLY) Sales of Property, Plant and Equipment (2009 - 2026)
O Reilly Automotive's Sales of Property, Plant and Equipment came in at $3.6 million for Q2 2026, up 381.9% from $747,000 a year earlier and up 133.5% from the prior quarter.
O Reilly Automotive (ORLY) Sales of Property, Plant and Equipment (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, O Reilly Automotive reported Sales of Property, Plant and Equipment of $33.29 million, up 189.1% year-over-year; for FY2025, it came in at $30.85 million, up 88.7% from FY2024.
- Sales of Property, Plant and Equipment carries a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- Going back by year, Sales of Property, Plant and Equipment was $16.35 million in FY2024 (-7.6%), $17.69 million in FY2023 (+19.5%), $14.8 million in FY2022 (+55.9%) and $9.49 million in FY2021 (-39.8%).
- The five-year range for quarterly Sales of Property, Plant and Equipment is $747,000 (Q2 2025) to $14.19 million (Q3 2025).
- Year-over-year, Sales of Property, Plant and Equipment increased in three of the last eight quarters, with growth averaging 93.0%.
- The fastest year-over-year change in Sales of Property, Plant and Equipment over five years came in Q3 2025 (growth of 417.8%), and the weakest in Q2 2025 (a decline of 79.7%).
- Business Quant data shows ORLY's Sales of Property, Plant and Equipment at $1.54 million (Q1 2026), $13.96 million (Q4 2025) and $14.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 1.13 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 | 2.00 Mn |
| 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 | 2.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 3.60 Mn |
| 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
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.60 Mn |
| Mar 31, 2026 | 1.54 Mn |
| Dec 31, 2025 | 13.96 Mn |
| Sep 30, 2025 | 14.19 Mn |
| Jun 30, 2025 | 747,000.00 |
| Mar 31, 2025 | 1.95 Mn |
| Dec 31, 2024 | 6.08 Mn |
| Sep 30, 2024 | 2.74 Mn |
| Jun 30, 2024 | 3.68 Mn |
| Mar 31, 2024 | 3.85 Mn |
| Dec 31, 2023 | 7.23 Mn |
| Sep 30, 2023 | 3.41 Mn |
| Jun 30, 2023 | 4.35 Mn |
| Mar 31, 2023 | 2.70 Mn |
| Dec 31, 2022 | 3.97 Mn |
| Sep 30, 2022 | 2.61 Mn |
| Jun 30, 2022 | 5.07 Mn |
| Mar 31, 2022 | 3.16 Mn |
| Dec 31, 2021 | 2.85 Mn |
| Sep 30, 2021 | 2.08 Mn |
O Reilly Automotive Sales of 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=sales-of-property-plant-and-equipment&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-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=sales-of-property-plant-and-equipment&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();