O Reilly Automotive (ORLY) Enterprise Value (2009 - 2026)
O Reilly Automotive's Enterprise Value was $69.71 billion in Q3 2026, down 23.5% from $91.09 billion a year earlier and down 6.9% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Enterprise Value (2009 - 2026) Analysis & Trends
For FY2025, Enterprise Value at O Reilly Automotive came in at $76.6 billion, up 12.6% from FY2024.
- Enterprise Value has now increased for five consecutive years, with a five-year compound annual growth rate of 19.3% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $68.03 billion in FY2024 (+21.8%), $55.85 billion in FY2023 (+6.3%), $52.52 billion in FY2022 (+11.8%) and $46.97 billion in FY2021 (+48.1%).
- The Q3 2026 figure marks the lowest quarterly Enterprise Value since Q4 2024.
- Compared with a year earlier, Enterprise Value has declined for three straight quarters, with growth averaging 10.9% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was Q4 2021 (growth of 48.1%); the worst was Q3 2026 (a decline of 23.5%).
- Per Business Quant data, ORLY's Enterprise Value in the three quarters before Q3 2026 was $74.9 billion (Q2 2026), $76.58 billion (Q1 2026) and $76.6 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,933.26 Bn | 2,429.93 Bn | 107.37 Bn |
| 2 | Home Depot | 348.06 Bn | 341.30 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.97 Bn | 125.52 Bn | 5.07 Bn |
| 4 | Lowes Companies | 127.73 Bn | 120.69 Bn | 8.58 Bn |
| 5 | Carvana | 79.78 Bn | 70.66 Bn | 1.52 Bn |
| 6 | O Reilly Automotive | 74.18 Bn | 73.27 Bn | 2.68 Bn |
| 7 | Ross Stores | 74.06 Bn | 56.99 Bn | 2.12 Bn |
| 8 | Target | 73.34 Bn | 67.93 Bn | 8.94 Bn |
| 9 | Autozone | 52.71 Bn | 51.56 Bn | 3.52 Bn |
| 10 | JD.com | 33.86 Bn | -77.03 Bn | 8.74 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 68.53 Bn |
| Jun 30, 2026 | 74.90 Bn |
| Mar 31, 2026 | 76.58 Bn |
| Dec 31, 2025 | 76.60 Bn |
| Sep 30, 2025 | 91.09 Bn |
| Jun 30, 2025 | 76.46 Bn |
| Mar 31, 2025 | 81.63 Bn |
| Dec 31, 2024 | 68.03 Bn |
| Sep 30, 2024 | 66.49 Bn |
| Jun 30, 2024 | 61.36 Bn |
| Mar 31, 2024 | 66.50 Bn |
| Dec 31, 2023 | 55.85 Bn |
| Sep 30, 2023 | 54.10 Bn |
| Jun 30, 2023 | 57.65 Bn |
| Mar 31, 2023 | 51.76 Bn |
| Dec 31, 2022 | 52.52 Bn |
| Sep 30, 2022 | 44.10 Bn |
| Jun 30, 2022 | 40.03 Bn |
| Mar 31, 2022 | 44.96 Bn |
| Dec 31, 2021 | 46.97 Bn |
API Access
O Reilly Automotive Enterprise Value 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=enterprise-value&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();