Fmc (FMC) Net of Acquisitions & Divestments (2009 - 2026)
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Analysis
Fmc (FMC) Net of Acquisitions & Divestments (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.92 Bn | 214.50 Bn | 4.43 Bn | -221.00 Mn |
| 2 | Corning | 114.46 Bn | 107.03 Bn | 1.63 Bn | - |
| 3 | Sherwin Williams | 80.97 Bn | 80.01 Bn | 3.34 Bn | -64.90 Mn |
| 4 | Air Products & Chemicals | 66.60 Bn | 61.78 Bn | 1.04 Bn | -88.80 Mn |
| 5 | LyondellBasell Industries | 41.19 Bn | 30.70 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.79 Bn | 30.61 Bn | 3.25 Bn | -10.00 Mn |
| 7 | Ati | 25.83 Bn | 23.86 Bn | 309.80 Mn | -200,000.00 |
| 8 | Qnity Electronics | 24.96 Bn | 22.09 Bn | 666.00 Mn | - |
| 9 | Ppg Industries | 23.98 Bn | 16.63 Bn | 1.81 Bn | -66.00 Mn |
| 10 | Fmc | 675.30 Mn | -1.27 Bn | 342.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -200,000.00 |
| Sep 30, 2025 | -8.70 Mn |
| Jun 30, 2025 | -2.10 Mn |
| Jun 30, 2024 | 300,000.00 |
| Mar 31, 2024 | -300,000.00 |
| Sep 30, 2023 | -12.80 Mn |
| Jun 30, 2023 | -100,000.00 |
| Mar 31, 2023 | -3.10 Mn |
| Sep 30, 2022 | -191.00 Mn |
| Jun 30, 2022 | 500,000.00 |
| Mar 31, 2022 | -1.00 Mn |
| Sep 30, 2021 | -2.00 Mn |
| Jun 30, 2021 | -2.60 Mn |
| Dec 31, 2019 | 26.20 Mn |
| Dec 31, 2018 | -88.00 Mn |
| Sep 30, 2018 | 9.40 Mn |
| Mar 31, 2018 | 98.20 Mn |
| Dec 31, 2017 | -1.23 Bn |
| Sep 30, 2017 | 38.00 Mn |
| Sep 30, 2015 | -3.40 Mn |
API Access
Fmc Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=FMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=FMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();