Group 1 Automotive (GPI) Property, Plant & Equipment (Net) (2010 - 2026)
Group 1 Automotive (GPI) recorded Property, Plant & Equipment (Net) of $3.1 billion in Q2 2026, up 1.6% from $3.05 billion a year earlier but down 0.7% from the prior quarter.
Group 1 Automotive (GPI) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Group 1 Automotive reported Property, Plant & Equipment (Net) of $3.14 billion, up 9.8% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for 15 straight years, with a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $2.86 billion in FY2024 (+27.0%), $2.25 billion in FY2023 (+5.7%), $2.13 billion in FY2022 (+8.7%) and $1.96 billion in FY2021 (+23.6%).
- Quarterly Property, Plant & Equipment (Net) has ranged from $1.64 billion in Q3 2021 to $3.14 billion in Q3 2025 over the past five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for 57 consecutive quarters, with growth averaging 15.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Property, Plant & Equipment (Net) ran from 1.6% in Q2 2026 to 29.5% in Q3 2024.
- Per Business Quant, the preceding three quarters came in at $3.12 billion (Q1 2026), $3.14 billion (Q4 2025) and $3.14 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 18.28 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 4.26 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 6.55 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 34.77 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 7.80 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 2.86 Bn |
| 10 | Group 1 Automotive | 2.86 Bn | 2.59 Bn | 860.60 Mn | 3.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.10 Bn |
| Mar 31, 2026 | 3.12 Bn |
| Dec 31, 2025 | 3.14 Bn |
| Sep 30, 2025 | 3.14 Bn |
| Jun 30, 2025 | 3.05 Bn |
| Mar 31, 2025 | 2.89 Bn |
| Dec 31, 2024 | 2.86 Bn |
| Sep 30, 2024 | 2.88 Bn |
| Jun 30, 2024 | 2.49 Bn |
| Mar 31, 2024 | 2.49 Bn |
| Dec 31, 2023 | 2.25 Bn |
| Sep 30, 2023 | 2.22 Bn |
| Jun 30, 2023 | 2.23 Bn |
| Mar 31, 2023 | 2.16 Bn |
| Dec 31, 2022 | 2.13 Bn |
| Sep 30, 2022 | 2.04 Bn |
| Jun 30, 2022 | 2.00 Bn |
| Mar 31, 2022 | 1.99 Bn |
| Dec 31, 2021 | 1.96 Bn |
| Sep 30, 2021 | 1.64 Bn |
Group 1 Automotive Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GPI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GPI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();