Fmc (FMC) Operating Expenses (2009 - 2026)
Fmc (FMC) reported Operating Expenses of $986.8 million for Q2 2026, up 6.8% from $924.1 million a year earlier and up 17.5% from the prior quarter.
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Analysis
Fmc (FMC) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fmc's Operating Expenses came in at $5.26 billion, up 47.2% year-over-year; for FY2025, it came in at $5.1 billion, up 36.3% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $3.74 billion in FY2024 (-4.9%), $3.93 billion in FY2023 (-15.6%), $4.66 billion in FY2022 (+16.1%) and $4.01 billion in FY2021 (+7.1%).
- Five-year quarterly Operating Expenses spans a low of $733.2 million in Q1 2025 and a high of $2.5 billion in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 18.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2025 (growth of 152.6%); the low point was Q2 2023 (a decline of 27.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $839.6 million (Q1 2026), $2.5 billion (Q4 2025) and $938.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.08 Bn | 213.65 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 113.97 Bn | 106.54 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 81.98 Bn | 81.03 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 41.35 Bn | 30.86 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.62 Bn | 30.45 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Ati | 24.94 Bn | 22.97 Bn | 309.80 Mn | 99.60 Mn |
| 8 | Qnity Electronics | 24.80 Bn | 21.94 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ppg Industries | 24.22 Bn | 16.88 Bn | 1.81 Bn | 1.15 Bn |
| 10 | Fmc | 666.52 Mn | -1.28 Bn | 342.10 Mn | 986.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 986.80 Mn |
| Mar 31, 2026 | 839.60 Mn |
| Dec 31, 2025 | 2.50 Bn |
| Sep 30, 2025 | 938.50 Mn |
| Jun 30, 2025 | 924.10 Mn |
| Mar 31, 2025 | 733.20 Mn |
| Dec 31, 2024 | 989.70 Mn |
| Sep 30, 2024 | 929.80 Mn |
| Jun 30, 2024 | 976.10 Mn |
| Mar 31, 2024 | 844.00 Mn |
| Dec 31, 2023 | 1.13 Bn |
| Sep 30, 2023 | 881.10 Mn |
| Jun 30, 2023 | 882.30 Mn |
| Mar 31, 2023 | 1.04 Bn |
| Dec 31, 2022 | 1.23 Bn |
| Sep 30, 2022 | 1.17 Bn |
| Jun 30, 2022 | 1.22 Bn |
| Mar 31, 2022 | 1.05 Bn |
| Dec 31, 2021 | 1.14 Bn |
| Sep 30, 2021 | 978.30 Mn |
API Access
Fmc Operating Expenses 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=operating-expenses&ticker=FMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();