Fmc (FMC) Buildings (2010 - 2025)
Fmc's Buildings was $578.4 million in Q4 2025, up 7.7% from $537.2 million a year earlier.
Analysis
Fmc (FMC) Buildings (2010 - 2025) Analysis & Trends
From Q4 2010 onward, Fmc has reported Buildings for 16 quarters.
- Buildings shows a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- In earlier years, Buildings was $537.2 million in FY2024 (-0.5%), $540 million in FY2023 (+3.3%), $522.9 million in FY2022 (-1.0%) and $528.4 million in FY2021 (+2.9%).
- The Q4 2025 figure marks the highest quarterly Buildings in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 233.52 Bn | 215.10 Bn | 4.43 Bn |
| 2 | Corning | 110.74 Bn | 103.31 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 81.75 Bn | 80.79 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 66.84 Bn | 62.02 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 41.34 Bn | 30.85 Bn | 2.04 Bn |
| 6 | Nutrien | 34.02 Bn | 30.85 Bn | 3.25 Bn |
| 7 | Ati | 24.76 Bn | 22.79 Bn | 309.80 Mn |
| 8 | Qnity Electronics | 24.42 Bn | 21.56 Bn | 666.00 Mn |
| 9 | Ppg Industries | 24.14 Bn | 16.79 Bn | 1.81 Bn |
| 10 | Fmc | 678.44 Mn | -1.27 Bn | 342.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 578.40 Mn |
| Dec 31, 2024 | 537.20 Mn |
| Dec 31, 2023 | 540.00 Mn |
| Dec 31, 2022 | 522.90 Mn |
| Dec 31, 2021 | 528.40 Mn |
| Dec 31, 2020 | 513.70 Mn |
| Dec 31, 2019 | 490.10 Mn |
| Dec 31, 2018 | 386.40 Mn |
| Dec 31, 2017 | 462.60 Mn |
| Dec 31, 2016 | 231.50 Mn |
| Dec 31, 2015 | 320.40 Mn |
| Dec 31, 2014 | 269.70 Mn |
| Dec 31, 2013 | 372.70 Mn |
| Dec 31, 2012 | 317.00 Mn |
| Dec 31, 2011 | 363.90 Mn |
| Dec 31, 2010 | 366.00 Mn |
API Access
Fmc Buildings 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=buildings&ticker=FMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=FMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();