Group 1 Automotive (GPI) Intangibles (2010 - 2026)
Group 1 Automotive (GPI) reported Intangibles of $947.4 million for Q2 2026, down 6.7% from $1.02 billion a year earlier but up 3.2% from the prior quarter.
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Analysis
Group 1 Automotive (GPI) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Group 1 Automotive posted Intangibles of $933.8 million, down 1.5% from FY2024.
- Intangibles has a five-year compound annual growth rate of 32.0% (FY2020 to FY2025).
- By year, Intangibles came in at $948.1 million in FY2024 (+35.2%), $701.2 million in FY2023 (+35.8%), $516.3 million in FY2022 (+31.6%) and $392.3 million in FY2021 (+68.5%).
- Five-year quarterly Intangibles spans a low of $237.1 million in Q3 2021 and a high of $1.02 billion in Q2 2025.
- Year over year, Intangibles has now declined in each of the last three quarters, with growth averaging 9.7% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was Q3 2022 (growth of 103.3%); the low point was Q2 2026 (a decline of 6.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $917.6 million (Q1 2026), $933.8 million (Q4 2025) and $1.01 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,830.63 Bn | 2,347.33 Bn | 104.83 Bn | - |
| 2 | Home Depot | 313.91 Bn | 307.15 Bn | 16.12 Bn | 10.48 Bn |
| 3 | Tjx Companies | 162.14 Bn | 139.68 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 111.14 Bn | 104.11 Bn | 8.58 Bn | 5.71 Bn |
| 5 | Ross Stores | 75.38 Bn | 58.30 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 74.19 Bn | 73.28 Bn | 2.52 Bn | - |
| 7 | Target | 70.17 Bn | 64.76 Bn | 8.94 Bn | - |
| 8 | Autozone | 51.95 Bn | 50.85 Bn | 2.52 Bn | - |
| 9 | Carvana | 43.39 Bn | 33.88 Bn | 1.38 Bn | 53.00 Mn |
| 10 | Group 1 Automotive | 2.86 Bn | 2.59 Bn | 860.60 Mn | 947.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 947.40 Mn |
| Mar 31, 2026 | 917.60 Mn |
| Dec 31, 2025 | 933.80 Mn |
| Sep 30, 2025 | 1.01 Bn |
| Jun 30, 2025 | 1.02 Bn |
| Mar 31, 2025 | 948.90 Mn |
| Dec 31, 2024 | 948.10 Mn |
| Sep 30, 2024 | 865.40 Mn |
| Jun 30, 2024 | 872.30 Mn |
| Mar 31, 2024 | 946.20 Mn |
| Dec 31, 2023 | 701.20 Mn |
| Sep 30, 2023 | 719.80 Mn |
| Jun 30, 2023 | 739.80 Mn |
| Mar 31, 2023 | 546.70 Mn |
| Dec 31, 2022 | 516.30 Mn |
| Sep 30, 2022 | 482.10 Mn |
| Jun 30, 2022 | 474.60 Mn |
| Mar 31, 2022 | 462.30 Mn |
| Dec 31, 2021 | 392.30 Mn |
| Sep 30, 2021 | 237.10 Mn |
API Access
Group 1 Automotive 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=intangibles&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "GPI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();