Group 1 Automotive (GPI) Accumulated Expenses (2010 - 2026)
Group 1 Automotive (GPI) recorded Accumulated Expenses of $394.7 million in Q2 2026, down 4.8% from $414.4 million a year earlier and down 7.7% from the prior quarter.
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Analysis
Group 1 Automotive (GPI) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Group 1 Automotive reported Accumulated Expenses of $432 million, up 3.2% from FY2024.
- Annual Accumulated Expenses has increased for nine straight years, with a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $418.6 million in FY2024 (+38.0%), $303.4 million in FY2023 (+11.7%), $271.5 million in FY2022 (+5.0%) and $258.6 million in FY2021 (+18.7%).
- The Q2 2026 figure is the lowest quarterly Accumulated Expenses since Q3 2024.
- On a year-over-year basis, Accumulated Expenses rose in six of the last eight quarters, with growth averaging 17.5%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 38.0% in Q4 2024, against a decline of 4.8% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $427.6 million (Q1 2026), $432 million (Q4 2025) and $438.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,691.65 Bn | 2,208.35 Bn | 104.83 Bn |
| 2 | Home Depot | 325.36 Bn | 318.60 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.54 Bn | 140.09 Bn | 5.07 Bn |
| 4 | Lowes Companies | 114.04 Bn | 107.00 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 75.74 Bn | 74.83 Bn | 2.52 Bn |
| 6 | Ross Stores | 75.07 Bn | 57.99 Bn | 2.12 Bn |
| 7 | Target | 71.70 Bn | 66.28 Bn | 8.94 Bn |
| 8 | Autozone | 53.85 Bn | 52.75 Bn | 2.52 Bn |
| 9 | Carvana | 42.25 Bn | 32.75 Bn | 1.38 Bn |
| 10 | Group 1 Automotive | 2.87 Bn | 2.60 Bn | 860.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 394.70 Mn |
| Mar 31, 2026 | 427.60 Mn |
| Dec 31, 2025 | 432.00 Mn |
| Sep 30, 2025 | 438.40 Mn |
| Jun 30, 2025 | 414.40 Mn |
| Mar 31, 2025 | 432.30 Mn |
| Dec 31, 2024 | 418.60 Mn |
| Sep 30, 2024 | 380.60 Mn |
| Jun 30, 2024 | 316.20 Mn |
| Mar 31, 2024 | 326.90 Mn |
| Dec 31, 2023 | 303.40 Mn |
| Sep 30, 2023 | 301.80 Mn |
| Jun 30, 2023 | 301.60 Mn |
| Mar 31, 2023 | 287.30 Mn |
| Dec 31, 2022 | 271.50 Mn |
| Sep 30, 2022 | 263.70 Mn |
| Jun 30, 2022 | 261.70 Mn |
| Mar 31, 2022 | 289.40 Mn |
| Dec 31, 2021 | 258.60 Mn |
| Sep 30, 2021 | 266.90 Mn |
API Access
Group 1 Automotive Accumulated Expenses 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=accumulated-expenses&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();