Genuine Parts (GPC) Property, Plant & Equipment (Net) (2009 - 2026)
Genuine Parts (GPC) posted Property, Plant & Equipment (Net) of $2.15 billion for Q2 2026, up 4.8% from $2.05 billion a year earlier and up 0.5% from the prior quarter.
Genuine Parts (GPC) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Genuine Parts' Property, Plant & Equipment (Net) came in at $2.17 billion, up 11.3% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for five consecutive years, with a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In prior years, Genuine Parts' Property, Plant & Equipment (Net) was $1.95 billion in FY2024 (+20.7%), $1.62 billion in FY2023 (+21.9%), $1.33 billion in FY2022 (+7.4%) and $1.23 billion in FY2021 (+6.2%).
- Quarterly Property, Plant & Equipment (Net) has run from a low of $1.11 billion in Q3 2021 to a high of $2.17 billion in Q4 2025 over five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last 19 quarters, with growth averaging 14.3% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q3 2024, with growth of 26.1%; the weakest was Q3 2021, with a decline of 3.0%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $2.14 billion (Q1 2026), $2.17 billion (Q4 2025) and $2.09 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 18.28 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.26 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 34.77 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.86 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 6.55 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 7.80 Bn |
| 10 | Genuine Parts | 17.54 Bn | 15.59 Bn | 2.47 Bn | 2.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.15 Bn |
| Mar 31, 2026 | 2.14 Bn |
| Dec 31, 2025 | 2.17 Bn |
| Sep 30, 2025 | 2.09 Bn |
| Jun 30, 2025 | 2.05 Bn |
| Mar 31, 2025 | 1.99 Bn |
| Dec 31, 2024 | 1.95 Bn |
| Sep 30, 2024 | 1.91 Bn |
| Jun 30, 2024 | 1.79 Bn |
| Mar 31, 2024 | 1.67 Bn |
| Dec 31, 2023 | 1.62 Bn |
| Sep 30, 2023 | 1.51 Bn |
| Jun 30, 2023 | 1.44 Bn |
| Mar 31, 2023 | 1.37 Bn |
| Dec 31, 2022 | 1.33 Bn |
| Sep 30, 2022 | 1.24 Bn |
| Jun 30, 2022 | 1.24 Bn |
| Mar 31, 2022 | 1.24 Bn |
| Dec 31, 2021 | 1.23 Bn |
| Sep 30, 2021 | 1.11 Bn |
Genuine Parts 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=GPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "GPC", "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=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();