Fmc (FMC) Return on Sales [ROS] (2009 - 2026)
Fmc (FMC) posted Return on Sales [ROS] of -13.80% for Q2 2026, down 25.84 percentage points from 12.03% a year earlier and down 3.13 percentage points from the prior quarter.
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Analysis
Fmc (FMC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Fmc was -61.93%, down 75.36 percentage points year-over-year; for FY2025, it was -46.96%, down 58.89 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for four consecutive years, with a five-year change of -66.28 percentage points (FY2020 to FY2025).
- In prior years, Fmc's Return on Sales [ROS] was 11.93% in FY2024 (-0.45 pp), 12.38% in FY2023 (-7.34 pp), 19.72% in FY2022 (-0.78 pp) and 20.50% in FY2021 (+1.18 pp).
- Quarterly Return on Sales [ROS] has run from a low of -130.77% in Q4 2025 to a high of 24.32% in Q4 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last four quarters, with an average year-over-year change of -31.78 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2024, with a gain of 17.58 percentage points; the weakest was Q4 2025, with a drop of 149.93 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -10.68% (Q1 2026), -130.77% (Q4 2025) and -73.09% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.23 Bn | 216.81 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 106.66 Bn | 99.22 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 82.20 Bn | 81.24 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 68.45 Bn | 63.64 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 42.89 Bn | 32.40 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.91 Bn | 30.74 Bn | 3.25 Bn | 16.44% |
| 7 | Ppg Industries | 24.62 Bn | 17.28 Bn | 1.81 Bn | 14.73% |
| 8 | International Flavors & Fragrances | 23.96 Bn | 21.62 Bn | 853.00 Mn | 8.09% |
| 9 | Dow | 23.51 Bn | 7.01 Bn | 2.17 Bn | 7.62% |
| 10 | Fmc | 635.17 Mn | -1.31 Bn | 342.10 Mn | -13.80% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13.80% |
| Mar 31, 2026 | -10.68% |
| Dec 31, 2025 | -130.77% |
| Sep 30, 2025 | -73.09% |
| Jun 30, 2025 | 12.03% |
| Mar 31, 2025 | 7.35% |
| Dec 31, 2024 | 19.16% |
| Sep 30, 2024 | 12.73% |
| Jun 30, 2024 | 6.00% |
| Mar 31, 2024 | 8.06% |
| Dec 31, 2023 | 1.58% |
| Sep 30, 2023 | 10.27% |
| Jun 30, 2023 | 13.03% |
| Mar 31, 2023 | 22.65% |
| Dec 31, 2022 | 24.32% |
| Sep 30, 2022 | 15.29% |
| Jun 30, 2022 | 16.24% |
| Mar 31, 2022 | 22.45% |
| Dec 31, 2021 | 19.24% |
| Sep 30, 2021 | 18.07% |
API Access
Fmc Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=FMC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=FMC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();