Group 1 Automotive (GPI) Tax Provisions (2010 - 2026)
Group 1 Automotive's Tax Provisions came in at $31.4 million for Q2 2026, down 28.6% from $44 million a year earlier and down 22.7% from the prior quarter.
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Analysis
Group 1 Automotive (GPI) Tax Provisions (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Group 1 Automotive reported Tax Provisions of $114.4 million, down 25.8% year-over-year; for FY2025, it came in at $126.2 million, down 21.9% from FY2024.
- Tax Provisions has declined in each of the last three years, though with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $161.5 million in FY2024 (-18.5%), $198.2 million in FY2023 (-14.2%), $231.1 million in FY2022 (+31.7%) and $175.5 million in FY2021 (+108.4%).
- The five-year range for quarterly Tax Provisions is $19.4 million (Q4 2025) to $61.2 million (Q1 2022).
- Year-over-year, Tax Provisions increased in 1 of the last eight quarters, with an average decline of 20.9%.
- The fastest year-over-year change in Tax Provisions over five years came in Q1 2022 (growth of 110.3%), and the weakest in Q3 2025 (a decline of 45.9%).
- Business Quant data shows GPI's Tax Provisions at $40.6 million (Q1 2026), $19.4 million (Q4 2025) and $23 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 283.46 Mn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 209.01 Mn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 582.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 171.78 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 66.00 Mn |
| 10 | Group 1 Automotive | 2.67 Bn | 2.40 Bn | 860.60 Mn | 31.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.40 Mn |
| Mar 31, 2026 | 40.60 Mn |
| Dec 31, 2025 | 19.40 Mn |
| Sep 30, 2025 | 23.00 Mn |
| Jun 30, 2025 | 44.00 Mn |
| Mar 31, 2025 | 39.70 Mn |
| Dec 31, 2024 | 28.00 Mn |
| Sep 30, 2024 | 42.50 Mn |
| Jun 30, 2024 | 45.20 Mn |
| Mar 31, 2024 | 45.80 Mn |
| Dec 31, 2023 | 36.60 Mn |
| Sep 30, 2023 | 56.40 Mn |
| Jun 30, 2023 | 57.60 Mn |
| Mar 31, 2023 | 47.60 Mn |
| Dec 31, 2022 | 49.00 Mn |
| Sep 30, 2022 | 60.20 Mn |
| Jun 30, 2022 | 60.80 Mn |
| Mar 31, 2022 | 61.20 Mn |
| Dec 31, 2021 | 43.30 Mn |
| Sep 30, 2021 | 51.60 Mn |
API Access
Group 1 Automotive Tax Provisions 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=tax-provisions&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();