Group 1 Automotive (GPI) Cost of Revenue (2010 - 2026)
Group 1 Automotive (GPI) reported Cost of Revenue of $4.52 billion for Q2 2026, down 5.1% from $4.77 billion a year earlier and down 0.1% from the prior quarter.
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Analysis
Group 1 Automotive (GPI) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Group 1 Automotive's Cost of Revenue came in at $18.62 billion, up 1.1% year-over-year; for FY2025, it was $18.95 billion, up 13.5% from FY2024.
- Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $16.69 billion in FY2024 (+12.4%), $14.85 billion in FY2023 (+12.0%), $13.26 billion in FY2022 (+20.1%) and $11.04 billion in FY2021 (+24.5%).
- The Q2 2026 figure ranks as the lowest quarterly Cost of Revenue since Q3 2024.
- Year over year, Cost of Revenue gained in six of the last eight quarters, with growth averaging 10.8%.
- The high point for year-over-year Cost of Revenue in five years was Q1 2022 (growth of 26.2%); the low point was Q2 2026 (a decline of 5.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.53 billion (Q1 2026), $4.71 billion (Q4 2025) and $4.86 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 17.38 Bn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 2.38 Bn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 4.15 Bn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | 17.60 Bn |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 5.99 Bn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Group 1 Automotive | 2.92 Bn | 2.65 Bn | 860.60 Mn | 4.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.52 Bn |
| Mar 31, 2026 | 4.53 Bn |
| Dec 31, 2025 | 4.71 Bn |
| Sep 30, 2025 | 4.86 Bn |
| Jun 30, 2025 | 4.77 Bn |
| Mar 31, 2025 | 4.61 Bn |
| Dec 31, 2024 | 4.67 Bn |
| Sep 30, 2024 | 4.37 Bn |
| Jun 30, 2024 | 3.93 Bn |
| Mar 31, 2024 | 3.73 Bn |
| Dec 31, 2023 | 3.75 Bn |
| Sep 30, 2023 | 3.92 Bn |
| Jun 30, 2023 | 3.78 Bn |
| Mar 31, 2023 | 3.40 Bn |
| Dec 31, 2022 | 3.35 Bn |
| Sep 30, 2022 | 3.41 Bn |
| Jun 30, 2022 | 3.38 Bn |
| Mar 31, 2022 | 3.12 Bn |
| Dec 31, 2021 | 2.82 Bn |
| Sep 30, 2021 | 2.77 Bn |
API Access
Group 1 Automotive Cost of Revenue 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=cost-of-revenue&ticker=GPI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();