Group 1 Automotive (GPI) Cash & Equivalents (2010 - 2026)
Group 1 Automotive's Cash & Equivalents was $164.5 million in Q2 2026, up 212.1% from $52.7 million a year earlier and up 294.5% from the prior quarter.
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Analysis
Group 1 Automotive (GPI) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Group 1 Automotive came in at $32.5 million, down 5.5% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -14.0% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $34.4 million in FY2024 (-39.9%), $57.2 million in FY2023 (+19.4%), $47.9 million in FY2022 (+221.5%) and $14.9 million in FY2021 (-78.4%).
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents since Q3 2021.
- Compared with a year earlier, Cash & Equivalents was higher in three of the last eight quarters, with growth averaging 17.4%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2021 (growth of 348.5%); the worst was Q3 2022 (a decline of 93.1%).
- Per Business Quant data, GPI's Cash & Equivalents in the three quarters before Q2 2026 was $41.7 million (Q1 2026), $32.5 million (Q4 2025) and $30.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 3.17 Bn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 262.18 Mn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 4.29 Bn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | - |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Group 1 Automotive | 2.92 Bn | 2.65 Bn | 860.60 Mn | 164.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 164.50 Mn |
| Mar 31, 2026 | 41.70 Mn |
| Dec 31, 2025 | 32.50 Mn |
| Sep 30, 2025 | 30.80 Mn |
| Jun 30, 2025 | 52.70 Mn |
| Mar 31, 2025 | 70.50 Mn |
| Dec 31, 2024 | 34.40 Mn |
| Sep 30, 2024 | 58.70 Mn |
| Jun 30, 2024 | 64.40 Mn |
| Mar 31, 2024 | 41.90 Mn |
| Dec 31, 2023 | 57.20 Mn |
| Sep 30, 2023 | 52.90 Mn |
| Jun 30, 2023 | 22.80 Mn |
| Mar 31, 2023 | 21.30 Mn |
| Dec 31, 2022 | 47.90 Mn |
| Sep 30, 2022 | 20.50 Mn |
| Jun 30, 2022 | 26.30 Mn |
| Mar 31, 2022 | 16.60 Mn |
| Dec 31, 2021 | 14.90 Mn |
| Sep 30, 2021 | 296.90 Mn |
API Access
Group 1 Automotive Cash & Equivalents 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=cash-and-equivalents&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();