Group 1 Automotive (GPI) Restructuring Costs (2024 - 2026)
Group 1 Automotive (GPI) reported Restructuring Costs of $2.1 million for Q2 2026, down 72.4% from $7.6 million a year earlier but up 110.0% from the prior quarter.
Powered by 
Analysis
Group 1 Automotive (GPI) Restructuring Costs (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Group 1 Automotive's Restructuring Costs came in at $12.8 million, down 63.8% year-over-year; for FY2025, it was $28.4 million, up 70.1% from FY2024.
- By year, Restructuring Costs came in at $16.7 million in FY2024.
- Five-year quarterly Restructuring Costs spans a low of $1 million in Q1 2026 and a high of $16.7 million in Q4 2024.
- Year over year, Restructuring Costs has now declined in each of the last three quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $1 million (Q1 2026), $8.1 million (Q4 2025) and $1.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,833.54 Bn | 2,350.24 Bn | 104.83 Bn |
| 2 | Home Depot | 313.71 Bn | 306.95 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.26 Bn | 139.81 Bn | 5.07 Bn |
| 4 | Lowes Companies | 111.17 Bn | 104.14 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.32 Bn | 58.25 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.23 Bn | 73.31 Bn | 2.52 Bn |
| 7 | Target | 70.36 Bn | 64.95 Bn | 8.94 Bn |
| 8 | Autozone | 51.91 Bn | 50.81 Bn | 2.52 Bn |
| 9 | Carvana | 43.21 Bn | 33.70 Bn | 1.38 Bn |
| 10 | Group 1 Automotive | 2.85 Bn | 2.58 Bn | 860.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.10 Mn |
| Mar 31, 2026 | 1.00 Mn |
| Dec 31, 2025 | 8.10 Mn |
| Sep 30, 2025 | 1.60 Mn |
| Jun 30, 2025 | 7.60 Mn |
| Mar 31, 2025 | 11.10 Mn |
| Dec 31, 2024 | 16.70 Mn |
API Access
Group 1 Automotive Restructuring Costs 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=restructuring-costs&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();