Group 1 Automotive (GPI) Restructuring Costs (2024 - 2026)
Group 1 Automotive (GPI) reported Restructuring Costs of -$1.5 million for Q3 2026, compared with $1.6 million a year earlier.
Group 1 Automotive (GPI) Restructuring Costs (2024 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Group 1 Automotive's Restructuring Costs came in at $9.7 million, down 73.8% 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.
- The Q3 2026 figure ranks as the lowest quarterly Restructuring Costs in data going back to Q4 2024.
- Per Business Quant data, the three quarters before Q3 2026 came in at $2.1 million (Q2 2026), $1 million (Q1 2026) and $8.1 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,887.17 Bn | 2,383.84 Bn | 107.37 Bn |
| 2 | Home Depot | 352.83 Bn | 346.07 Bn | 16.12 Bn |
| 3 | Tjx Companies | 152.69 Bn | 130.24 Bn | 5.07 Bn |
| 4 | Lowes Companies | 129.94 Bn | 122.90 Bn | 8.58 Bn |
| 5 | Target | 75.44 Bn | 70.03 Bn | 8.94 Bn |
| 6 | Ross Stores | 75.40 Bn | 58.32 Bn | 2.12 Bn |
| 7 | O Reilly Automotive | 74.28 Bn | 73.37 Bn | 2.52 Bn |
| 8 | Carvana | 54.79 Bn | 44.38 Bn | 1.52 Bn |
| 9 | Autozone | 53.72 Bn | 52.57 Bn | 3.52 Bn |
| 10 | Group 1 Automotive | 3.17 Bn | 2.05 Bn | 854.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 100,000.00 |
| 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 |
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_KEY
import 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();