Genuine Parts (GPC) Change in Property, Plant and Equipment (2009 - 2026)
Genuine Parts' Change in Property, Plant and Equipment was -$98.9 million in Q3 2026, compared with -$99.99 million a year earlier.
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Analysis
Genuine Parts (GPC) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Genuine Parts' Change in Property, Plant and Equipment was -$374.59 million through Sep 30, 2026; for FY2025, it came in at -$417.55 million.
- In earlier years, Change in Property, Plant and Equipment was -$444.91 million in FY2024, -$487.58 million in FY2023, -$194.63 million in FY2022 and -$239.59 million in FY2021.
- Quarterly Change in Property, Plant and Equipment has moved between -$145.06 million (Q4 2023) and $60.02 million (Q2 2022) over five years.
- Per Business Quant data, GPC's Change in Property, Plant and Equipment in the three quarters before Q3 2026 was -$104.55 million (Q2 2026), -$82.96 million (Q1 2026) and -$88.19 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | -53.08 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | -880.00 Mn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | -497.00 Mn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | -540.00 Mn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | -304.00 Mn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | -251.26 Mn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | -1.37 Bn |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | -49.00 Mn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | -345.51 Mn |
| 10 | Genuine Parts | 16.97 Bn | 14.68 Bn | 2.48 Bn | -98.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -98.90 Mn |
| Jun 30, 2026 | -104.55 Mn |
| Mar 31, 2026 | -82.96 Mn |
| Dec 31, 2025 | -88.19 Mn |
| Sep 30, 2025 | -99.99 Mn |
| Jun 30, 2025 | -125.35 Mn |
| Mar 31, 2025 | -104.03 Mn |
| Dec 31, 2024 | -133.53 Mn |
| Sep 30, 2024 | -125.78 Mn |
| Jun 30, 2024 | -138.37 Mn |
| Mar 31, 2024 | -47.23 Mn |
| Dec 31, 2023 | -145.06 Mn |
| Sep 30, 2023 | -141.95 Mn |
| Jun 30, 2023 | -114.45 Mn |
| Mar 31, 2023 | -86.13 Mn |
| Dec 31, 2022 | -91.86 Mn |
| Sep 30, 2022 | -90.64 Mn |
| Jun 30, 2022 | 60.02 Mn |
| Mar 31, 2022 | -72.15 Mn |
| Dec 31, 2021 | -125.57 Mn |
API Access
Genuine Parts Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=GPC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=GPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();