Icl (ICL) Return on Sales [ROS] (2013 - 2026)
Icl (ICL) posted Return on Sales [ROS] of 11.78% for Q3 2026, down 0.63 percentage points from 12.41% a year earlier and down 0.68 percentage points from the prior quarter.
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Analysis
Icl (ICL) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Icl was 9.14%, down 1.40 percentage points year-over-year; for FY2025, it was 8.11%, down 3.22 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three consecutive years, though with a five-year change of +4.10 percentage points (FY2020 to FY2025).
- In prior years, Icl's Return on Sales [ROS] was 11.33% in FY2024 (-3.81 pp), 15.14% in FY2023 (-19.97 pp), 35.11% in FY2022 (+17.71 pp) and 17.40% in FY2021 (+13.39 pp).
- Quarterly Return on Sales [ROS] has run from a low of -0.94% in Q4 2025 to a high of 25.82% in Q4 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -1.23 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2021, with a gain of 12.07 percentage points; the weakest was Q4 2023, with a drop of 17.01 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 12.46% (Q2 2026), 11.62% (Q1 2026) and -0.94% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 241.51 Bn | 225.21 Bn | 4.44 Bn | 22.86% |
| 2 | Corning | 98.25 Bn | 90.55 Bn | 1.81 Bn | 18.76% |
| 3 | Sherwin Williams | 84.58 Bn | 83.60 Bn | 3.28 Bn | 17.61% |
| 4 | Air Products & Chemicals | 70.48 Bn | 73.35 Bn | - | - |
| 5 | LyondellBasell Industries | 41.62 Bn | 29.79 Bn | 1.50 Bn | 12.55% |
| 6 | Nutrien | 34.33 Bn | 30.91 Bn | 1.86 Bn | 28.07% |
| 7 | Ppg Industries | 27.05 Bn | 20.12 Bn | 1.76 Bn | 14.89% |
| 8 | Ati | 24.87 Bn | 22.95 Bn | 380.20 Mn | 19.10% |
| 9 | Qnity Electronics | 24.73 Bn | 21.17 Bn | 743.00 Mn | 28.15% |
| 10 | Icl | 5.82 Bn | 2.69 Bn | 628.00 Mn | 11.78% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.78% |
| Jun 30, 2026 | 12.46% |
| Mar 31, 2026 | 11.62% |
| Dec 31, 2025 | -0.94% |
| Sep 30, 2025 | 12.41% |
| Jun 30, 2025 | 9.88% |
| Mar 31, 2025 | 10.47% |
| Dec 31, 2024 | 9.18% |
| Sep 30, 2024 | 12.21% |
| Jun 30, 2024 | 12.04% |
| Mar 31, 2024 | 11.70% |
| Dec 31, 2023 | 8.82% |
| Sep 30, 2023 | 12.19% |
| Jun 30, 2023 | 16.06% |
| Dec 31, 2022 | 25.82% |
| Dec 31, 2021 | 22.62% |
| Dec 31, 2020 | 10.55% |
| Dec 31, 2019 | 7.96% |
| Jun 30, 2019 | 16.84% |
| Dec 31, 2018 | 11.77% |
API Access
Icl 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=ICL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ICL", "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=ICL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();