Group 1 Automotive (GPI) Inventory (2010 - 2026)
Group 1 Automotive (GPI) recorded Inventory of $2.76 billion in Q2 2026, up 3.8% from $2.66 billion a year earlier and up 1.2% from the prior quarter.
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Analysis
Group 1 Automotive (GPI) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Group 1 Automotive reported Inventory of $2.74 billion, up 4.0% from FY2024.
- Annual Inventory has increased for four straight years, with a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $2.64 billion in FY2024 (+34.3%), $1.96 billion in FY2023 (+44.7%), $1.36 billion in FY2022 (+26.4%) and $1.07 billion in FY2021 (-25.8%).
- The Q2 2026 figure is the highest quarterly Inventory in data going back to Q4 2010.
- On a year-over-year basis, Inventory has increased for three consecutive quarters, with growth averaging 17.8% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 59.8% in Q3 2024, against a decline of 38.2% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.73 billion (Q1 2026), $2.74 billion (Q4 2025) and $2.73 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn | 3.09 Bn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 5.97 Bn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn | 13.25 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn | - |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn | 3.26 Bn |
| 10 | Group 1 Automotive | 2.83 Bn | 2.56 Bn | 860.60 Mn | 2.76 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.76 Bn |
| Mar 31, 2026 | 2.73 Bn |
| Dec 31, 2025 | 2.74 Bn |
| Sep 30, 2025 | 2.73 Bn |
| Jun 30, 2025 | 2.66 Bn |
| Mar 31, 2025 | 2.56 Bn |
| Dec 31, 2024 | 2.64 Bn |
| Sep 30, 2024 | 2.75 Bn |
| Jun 30, 2024 | 2.36 Bn |
| Mar 31, 2024 | 2.10 Bn |
| Dec 31, 2023 | 1.96 Bn |
| Sep 30, 2023 | 1.72 Bn |
| Jun 30, 2023 | 1.72 Bn |
| Mar 31, 2023 | 1.54 Bn |
| Dec 31, 2022 | 1.36 Bn |
| Sep 30, 2022 | 1.19 Bn |
| Jun 30, 2022 | 1.13 Bn |
| Mar 31, 2022 | 1.10 Bn |
| Dec 31, 2021 | 1.07 Bn |
| Sep 30, 2021 | 850.80 Mn |
API Access
Group 1 Automotive 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=inventory&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=inventory&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();