O Reilly Automotive (ORLY) Goodwill & Intangibles (2009 - 2026)
O Reilly Automotive (ORLY) reported Goodwill & Intangibles of $955.21 million for Q2 2026, up 1.3% from $943.31 million a year earlier and up 0.2% from the prior quarter.
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Analysis
O Reilly Automotive (ORLY) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, O Reilly Automotive posted Goodwill & Intangibles of $948.21 million, up 1.9% from FY2024.
- Goodwill & Intangibles has increased for four consecutive years, with a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- By year, Goodwill & Intangibles came in at $930.16 million in FY2024 (+3.6%), $897.7 million in FY2023 (+1.5%), $884.45 million in FY2022 (+0.6%) and $879.34 million in FY2021 (-0.2%).
- The Q2 2026 figure ranks as the highest quarterly Goodwill & Intangibles since Q3 2024.
- Year over year, Goodwill & Intangibles has now increased in each of the last three quarters, with growth averaging 0.2% over the last eight quarters.
- The high point for year-over-year Goodwill & Intangibles in five years was Q1 2024 (growth of 13.2%); the low point was Q1 2025 (a decline of 7.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $953.04 million (Q1 2026), $948.21 million (Q4 2025) and $945.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn |
| 10 | JD.com | 31.99 Bn | -78.19 Bn | 8.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 955.21 Mn |
| Mar 31, 2026 | 953.04 Mn |
| Dec 31, 2025 | 948.21 Mn |
| Sep 30, 2025 | 945.59 Mn |
| Jun 30, 2025 | 943.31 Mn |
| Mar 31, 2025 | 933.13 Mn |
| Dec 31, 2024 | 930.16 Mn |
| Sep 30, 2024 | 997.23 Mn |
| Jun 30, 2024 | 1.00 Bn |
| Mar 31, 2024 | 1.01 Bn |
| Dec 31, 2023 | 897.70 Mn |
| Sep 30, 2023 | 895.40 Mn |
| Jun 30, 2023 | 897.13 Mn |
| Mar 31, 2023 | 892.09 Mn |
| Dec 31, 2022 | 884.45 Mn |
| Sep 30, 2022 | 881.10 Mn |
| Jun 30, 2022 | 881.30 Mn |
| Mar 31, 2022 | 881.77 Mn |
| Dec 31, 2021 | 879.34 Mn |
| Sep 30, 2021 | 878.87 Mn |
API Access
O Reilly Automotive Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=ORLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=ORLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();