Group 1 Automotive (GPI) Change in Inventory (2010 - 2026)
Group 1 Automotive's Change in Inventory came in at $27.9 million for Q2 2026, up 68.1% from $16.6 million a year earlier but down 30.4% from the prior quarter.
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Analysis
Group 1 Automotive (GPI) Change in Inventory (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Group 1 Automotive reported Change in Inventory of $207.1 million; for FY2025, it came in at $47.7 million, down 81.3% from FY2024.
- Going back by year, Change in Inventory was $254.4 million in FY2024 (-55.2%), $567.6 million in FY2023 (+101.2%), $282.1 million in FY2022 and -$529.8 million in FY2021.
- The five-year range for quarterly Change in Inventory is -$198.6 million (Q3 2021) to $254.2 million (Q2 2024).
- The fastest year-over-year change in Change in Inventory over five years came in Q1 2023 (growth of 544.0%), and the weakest in Q2 2025 (a decline of 93.5%).
- Business Quant data shows GPI's Change in Inventory at $40.1 million (Q1 2026), $64.1 million (Q4 2025) and $75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.34 Bn | 2,346.04 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 312.97 Bn | 306.21 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 162.31 Bn | 139.86 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 110.91 Bn | 103.87 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 75.41 Bn | 58.34 Bn | 2.12 Bn | 110.41 Mn |
| 6 | O Reilly Automotive | 74.21 Bn | 73.29 Bn | 2.52 Bn | 160.24 Mn |
| 7 | Target | 70.42 Bn | 65.01 Bn | 8.94 Bn | 932.00 Mn |
| 8 | Autozone | 51.91 Bn | 50.82 Bn | 2.52 Bn | 104.14 Mn |
| 9 | Carvana | 43.12 Bn | 33.61 Bn | 1.38 Bn | 586.00 Mn |
| 10 | Group 1 Automotive | 2.85 Bn | 2.58 Bn | 860.60 Mn | 27.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.90 Mn |
| Mar 31, 2026 | 40.10 Mn |
| Dec 31, 2025 | 64.10 Mn |
| Sep 30, 2025 | 75.00 Mn |
| Jun 30, 2025 | 16.60 Mn |
| Mar 31, 2025 | -108.00 Mn |
| Dec 31, 2024 | -64.40 Mn |
| Sep 30, 2024 | -10.20 Mn |
| Jun 30, 2024 | 254.20 Mn |
| Mar 31, 2024 | 74.80 Mn |
| Dec 31, 2023 | 253.30 Mn |
| Sep 30, 2023 | 30.50 Mn |
| Jun 30, 2023 | 111.20 Mn |
| Mar 31, 2023 | 172.60 Mn |
| Dec 31, 2022 | 125.50 Mn |
| Sep 30, 2022 | 73.10 Mn |
| Jun 30, 2022 | 56.70 Mn |
| Mar 31, 2022 | 26.80 Mn |
| Dec 31, 2021 | 113.20 Mn |
| Sep 30, 2021 | -198.60 Mn |
API Access
Group 1 Automotive Change in Inventory 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=change-in-inventory&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();