Fmc (FMC) Selling, General & Administrative (2009 - 2026)
Fmc (FMC) recorded Selling, General & Administrative of $179.1 million in Q2 2026, up 1.3% from $176.8 million a year earlier but down 3.2% from the prior quarter.
Fmc (FMC) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Fmc's Selling, General & Administrative came in at $700.3 million as of Jun 30, 2026, up 5.4% year-over-year; for FY2025, it was $684.9 million, up 6.3% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $644.6 million in FY2024 (-12.2%), $734.3 million in FY2023 (-5.3%), $775.2 million in FY2022 (+8.6%) and $714.1 million in FY2021 (-2.1%).
- Quarterly Selling, General & Administrative has ranged from $156.7 million in Q4 2024 to $212.5 million in Q4 2022 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has increased for six consecutive quarters, with growth averaging 2.3% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 21.0% in Q2 2022, against a decline of 19.8% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $185.1 million (Q1 2026), $168.7 million (Q4 2025) and $167.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 232.92 Bn | 214.50 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 114.46 Bn | 107.03 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 80.97 Bn | 80.01 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 66.60 Bn | 61.78 Bn | 1.04 Bn | 219.10 Mn |
| 5 | LyondellBasell Industries | 41.19 Bn | 30.70 Bn | 2.04 Bn | 387.00 Mn |
| 6 | Nutrien | 33.79 Bn | 30.61 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Ati | 25.83 Bn | 23.86 Bn | 309.80 Mn | 95.70 Mn |
| 8 | Qnity Electronics | 24.96 Bn | 22.09 Bn | 666.00 Mn | 200.00 Mn |
| 9 | Ppg Industries | 23.98 Bn | 16.63 Bn | 1.81 Bn | 931.00 Mn |
| 10 | Fmc | 675.30 Mn | -1.27 Bn | 342.10 Mn | 179.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 179.10 Mn |
| Mar 31, 2026 | 185.10 Mn |
| Dec 31, 2025 | 168.70 Mn |
| Sep 30, 2025 | 167.40 Mn |
| Jun 30, 2025 | 176.80 Mn |
| Mar 31, 2025 | 172.00 Mn |
| Dec 31, 2024 | 156.70 Mn |
| Sep 30, 2024 | 159.20 Mn |
| Jun 30, 2024 | 164.80 Mn |
| Mar 31, 2024 | 163.90 Mn |
| Dec 31, 2023 | 171.50 Mn |
| Sep 30, 2023 | 171.30 Mn |
| Jun 30, 2023 | 205.60 Mn |
| Mar 31, 2023 | 185.90 Mn |
| Dec 31, 2022 | 212.50 Mn |
| Sep 30, 2022 | 179.40 Mn |
| Jun 30, 2022 | 194.80 Mn |
| Mar 31, 2022 | 188.50 Mn |
| Dec 31, 2021 | 195.10 Mn |
| Sep 30, 2021 | 183.50 Mn |
Fmc Selling, General & Administrative 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=selling-general-and-administrative&ticker=FMC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();