Fmc (FMC) Property, Plant & Equipment (Net) (2009 - 2026)
Fmc (FMC) posted Property, Plant & Equipment (Net) of $554.7 million for Q2 2026, down 37.7% from $890.7 million a year earlier and down 11.6% from the prior quarter.
Fmc (FMC) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Fmc's Property, Plant & Equipment (Net) came in at $707.4 million, down 16.7% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In prior years, Fmc's Property, Plant & Equipment (Net) was $849.7 million in FY2024 (-4.8%), $892.5 million in FY2023 (+5.0%), $849.6 million in FY2022 (+4.0%) and $817 million in FY2021 (+5.9%).
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q3 2017.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last four quarters, with an average decline of 10.8% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q3 2023, with growth of 10.5%; the weakest was Q2 2026, with a decline of 37.7%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $627.5 million (Q1 2026), $707.4 million (Q4 2025) and $855.4 million (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 | Fmc | 666.52 Mn | -1.28 Bn | 342.10 Mn | 554.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 554.70 Mn |
| Mar 31, 2026 | 627.50 Mn |
| Dec 31, 2025 | 707.40 Mn |
| Sep 30, 2025 | 855.40 Mn |
| Jun 30, 2025 | 890.70 Mn |
| Mar 31, 2025 | 858.70 Mn |
| Dec 31, 2024 | 849.70 Mn |
| Sep 30, 2024 | 869.40 Mn |
| Jun 30, 2024 | 861.10 Mn |
| Mar 31, 2024 | 875.60 Mn |
| Dec 31, 2023 | 892.50 Mn |
| Sep 30, 2023 | 872.50 Mn |
| Jun 30, 2023 | 867.90 Mn |
| Mar 31, 2023 | 862.70 Mn |
| Dec 31, 2022 | 849.60 Mn |
| Sep 30, 2022 | 789.60 Mn |
| Jun 30, 2022 | 797.40 Mn |
| Mar 31, 2022 | 804.10 Mn |
| Dec 31, 2021 | 817.00 Mn |
| Sep 30, 2021 | 782.20 Mn |
Fmc 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=FMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "FMC", "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=FMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();