Ppg Industries (PPG) Property, Plant & Equipment (Net) (2009 - 2026)
Ppg Industries' Property, Plant & Equipment (Net) was $4.02 billion in Q2 2026, up 9.2% from $3.68 billion a year earlier and up 0.7% from the prior quarter.
Ppg Industries (PPG) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Ppg Industries came in at $4.01 billion, up 15.6% from FY2024.
- Property, Plant & Equipment (Net) has now increased for three consecutive years, with a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $3.46 billion in FY2024 (+0.4%), $3.45 billion in FY2023 (+3.7%), $3.33 billion in FY2022 (-3.3%) and $3.44 billion in FY2021 (+10.1%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q2 2009.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for 14 straight quarters, with growth averaging 6.4% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2021 (growth of 15.6%); the worst was Q3 2022 (a decline of 6.3%).
- Per Business Quant data, PPG's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $4 billion (Q1 2026), $4.01 billion (Q4 2025) and $3.72 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 234.56 Bn | 217.67 Bn | 4.43 Bn | 29.17 Bn |
| 2 | Corning | 106.49 Bn | 99.63 Bn | 1.63 Bn | 14.93 Bn |
| 3 | Sherwin Williams | 81.85 Bn | 80.89 Bn | 3.34 Bn | 4.22 Bn |
| 4 | Air Products & Chemicals | 68.38 Bn | 66.28 Bn | 1.04 Bn | 25.00 Bn |
| 5 | LyondellBasell Industries | 42.93 Bn | 32.55 Bn | 2.04 Bn | 15.69 Bn |
| 6 | Nutrien | 33.61 Bn | 30.47 Bn | 3.25 Bn | 22.67 Bn |
| 7 | Ppg Industries | 24.59 Bn | 17.39 Bn | 1.81 Bn | 4.02 Bn |
| 8 | International Flavors & Fragrances | 24.03 Bn | 21.72 Bn | 853.00 Mn | 2.67 Bn |
| 9 | Dow | 23.60 Bn | 9.04 Bn | 1.38 Bn | 22.40 Bn |
| 10 | Qnity Electronics | 22.98 Bn | 20.41 Bn | 666.00 Mn | 1.78 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.02 Bn |
| Mar 31, 2026 | 4.00 Bn |
| Dec 31, 2025 | 4.01 Bn |
| Sep 30, 2025 | 3.72 Bn |
| Jun 30, 2025 | 3.68 Bn |
| Mar 31, 2025 | 3.54 Bn |
| Dec 31, 2024 | 3.46 Bn |
| Sep 30, 2024 | 3.61 Bn |
| Jun 30, 2024 | 3.64 Bn |
| Mar 31, 2024 | 3.44 Bn |
| Dec 31, 2023 | 3.45 Bn |
| Sep 30, 2023 | 3.41 Bn |
| Jun 30, 2023 | 3.42 Bn |
| Mar 31, 2023 | 3.36 Bn |
| Dec 31, 2022 | 3.33 Bn |
| Sep 30, 2022 | 3.14 Bn |
| Jun 30, 2022 | 3.21 Bn |
| Mar 31, 2022 | 3.32 Bn |
| Dec 31, 2021 | 3.44 Bn |
| Sep 30, 2021 | 3.35 Bn |
Ppg Industries 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=PPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PPG", "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=PPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();