Dow (DOW) Property, Plant & Equipment (Net) (2009 - 2026)
Dow's Property, Plant & Equipment (Net) was $22.21 billion in Q2 2026, down 1.2% from $22.48 billion a year earlier but up 0.5% from the prior quarter.
Dow (DOW) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Dow came in at $22.25 billion, up 1.1% from FY2024.
- Property, Plant & Equipment (Net) has now increased for three consecutive years, with a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $22 billion in FY2024 (+4.5%), $21.07 billion in FY2023 (+3.1%), $20.44 billion in FY2022 (-0.5%) and $20.56 billion in FY2021 (+1.6%).
- Quarterly Property, Plant & Equipment (Net) has moved between $19.65 billion (Q3 2021) and $22.54 billion (Q3 2025) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in six of the last eight quarters, with growth averaging 2.7%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2024 (growth of 7.5%); the worst was Q3 2021 (a decline of 3.7%).
- Per Business Quant data, DOW's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $22.11 billion (Q1 2026), $22.25 billion (Q4 2025) and $22.54 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 29.17 Bn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 14.93 Bn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 4.22 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 25.00 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 15.69 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | 22.67 Bn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 1.98 Bn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 1.78 Bn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 4.02 Bn |
| 10 | Dow | 22.21 Bn | 5.70 Bn | 2.17 Bn | 22.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.21 Bn |
| Mar 31, 2026 | 22.11 Bn |
| Dec 31, 2025 | 22.25 Bn |
| Sep 30, 2025 | 22.54 Bn |
| Jun 30, 2025 | 22.48 Bn |
| Mar 31, 2025 | 22.33 Bn |
| Dec 31, 2024 | 22.00 Bn |
| Sep 30, 2024 | 22.09 Bn |
| Jun 30, 2024 | 21.59 Bn |
| Mar 31, 2024 | 21.26 Bn |
| Dec 31, 2023 | 21.07 Bn |
| Sep 30, 2023 | 20.56 Bn |
| Jun 30, 2023 | 20.40 Bn |
| Mar 31, 2023 | 20.32 Bn |
| Dec 31, 2022 | 20.44 Bn |
| Sep 30, 2022 | 20.03 Bn |
| Jun 30, 2022 | 20.16 Bn |
| Mar 31, 2022 | 20.35 Bn |
| Dec 31, 2021 | 20.56 Bn |
| Sep 30, 2021 | 19.65 Bn |
Dow 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=DOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "DOW", "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=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();