O Reilly Automotive (ORLY) Capital Expenditures (2009 - 2026)
O Reilly Automotive (ORLY) reported Capital Expenditures of $307.6 million for Q2 2026, up 2.3% from $300.73 million a year earlier and up 25.8% from the prior quarter.
O Reilly Automotive (ORLY) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, O Reilly Automotive's Capital Expenditures came in at $1.13 billion, down 0.3% year-over-year; for FY2025, it was $1.17 billion, up 14.2% from FY2024.
- Capital Expenditures has increased for four consecutive years, with a five-year compound annual growth rate of 20.2% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $1.02 billion in FY2024 (+1.7%), $1.01 billion in FY2023 (+78.6%), $563.34 million in FY2022 (+27.2%) and $442.85 million in FY2021 (-4.9%).
- Five-year quarterly Capital Expenditures spans a low of $102.17 million in Q4 2021 and a high of $312.1 million in Q3 2025.
- Year over year, Capital Expenditures gained in five of the last eight quarters, with growth averaging 6.6%.
- The high point for year-over-year Capital Expenditures in five years was Q1 2023 (growth of 114.7%); the low point was Q1 2026 (a decline of 14.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $244.45 million (Q1 2026), $269.03 million (Q4 2025) and $312.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 54.21 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 251.26 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 1.37 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 307.60 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 51.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 345.51 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | -443.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 307.60 Mn |
| Mar 31, 2026 | 244.45 Mn |
| Dec 31, 2025 | 269.03 Mn |
| Sep 30, 2025 | 312.10 Mn |
| Jun 30, 2025 | 300.73 Mn |
| Mar 31, 2025 | 286.95 Mn |
| Dec 31, 2024 | 290.47 Mn |
| Sep 30, 2024 | 258.31 Mn |
| Jun 30, 2024 | 225.37 Mn |
| Mar 31, 2024 | 249.24 Mn |
| Dec 31, 2023 | 252.31 Mn |
| Sep 30, 2023 | 293.02 Mn |
| Jun 30, 2023 | 237.67 Mn |
| Mar 31, 2023 | 223.27 Mn |
| Dec 31, 2022 | 174.52 Mn |
| Sep 30, 2022 | 159.90 Mn |
| Jun 30, 2022 | 124.93 Mn |
| Mar 31, 2022 | 103.99 Mn |
| Dec 31, 2021 | 102.17 Mn |
| Sep 30, 2021 | 118.08 Mn |
O Reilly Automotive Capital Expenditures 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=capital-expenditures&ticker=ORLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();