Fmc (FMC) Research & Development (2009 - 2026)
Fmc (FMC) recorded Research & Development of $60.4 million in Q2 2026, down 9.0% from $66.4 million a year earlier and down 7.8% from the prior quarter.
Fmc (FMC) Research & Development (2009 - 2026) Analysis & Trends
On a TTM basis, Fmc's Research & Development came in at $256.9 million as of Jun 30, 2026, down 7.0% year-over-year; for FY2025, it was $266.1 million, down 4.3% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $278 million in FY2024 (-15.5%), $328.8 million in FY2023 (+4.6%), $314.2 million in FY2022 (+3.1%) and $304.7 million in FY2021 (+5.8%).
- The Q2 2026 figure is the lowest quarterly Research & Development since Q4 2017.
- On a year-over-year basis, Research & Development has declined for five consecutive quarters, with an average decline of 6.8% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 20.6% in Q2 2022, against a decline of 22.3% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $65.5 million (Q1 2026), $67.7 million (Q4 2025) and $63.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.92 Bn | 214.50 Bn | 4.43 Bn | 37.00 Mn |
| 2 | Corning | 114.46 Bn | 107.03 Bn | 1.63 Bn | 299.00 Mn |
| 3 | Sherwin Williams | 80.97 Bn | 80.01 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 66.60 Bn | 61.78 Bn | 1.04 Bn | 21.50 Mn |
| 5 | LyondellBasell Industries | 41.19 Bn | 30.70 Bn | 2.04 Bn | 34.00 Mn |
| 6 | Nutrien | 33.79 Bn | 30.61 Bn | 3.25 Bn | - |
| 7 | Ati | 25.83 Bn | 23.86 Bn | 309.80 Mn | - |
| 8 | Qnity Electronics | 24.96 Bn | 22.09 Bn | 666.00 Mn | 98.00 Mn |
| 9 | Ppg Industries | 23.98 Bn | 16.63 Bn | 1.81 Bn | 107.00 Mn |
| 10 | Fmc | 675.30 Mn | -1.27 Bn | 342.10 Mn | 60.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.40 Mn |
| Mar 31, 2026 | 65.50 Mn |
| Dec 31, 2025 | 67.70 Mn |
| Sep 30, 2025 | 63.30 Mn |
| Jun 30, 2025 | 66.40 Mn |
| Mar 31, 2025 | 68.70 Mn |
| Dec 31, 2024 | 72.20 Mn |
| Sep 30, 2024 | 69.00 Mn |
| Jun 30, 2024 | 75.90 Mn |
| Mar 31, 2024 | 60.90 Mn |
| Dec 31, 2023 | 81.80 Mn |
| Sep 30, 2023 | 80.90 Mn |
| Jun 30, 2023 | 87.70 Mn |
| Mar 31, 2023 | 78.40 Mn |
| Dec 31, 2022 | 84.40 Mn |
| Sep 30, 2022 | 78.50 Mn |
| Jun 30, 2022 | 79.50 Mn |
| Mar 31, 2022 | 71.80 Mn |
| Dec 31, 2021 | 85.30 Mn |
| Sep 30, 2021 | 79.50 Mn |
Fmc Research & Development 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=research-and-development&ticker=FMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=FMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();