Icl (ICL) Operating Expenses (2013 - 2026)
Icl (ICL) recorded Operating Expenses of $92 million in the quarter ended Mar 31, 2026, down 3.2% from $95 million a year earlier but up 2.2% from the prior quarter.
Powered by 
Analysis
Icl (ICL) Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Icl's Operating Expenses came in at $370 million as of Mar 31, 2026, up 8.2% year-over-year; for the year ended Dec 31, 2025, it came in at $369 million, up 12.5% from the prior year.
- Annual Operating Expenses has a five-year compound annual growth rate of 5.2% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Operating Expenses came in at $328 million in the year ended Dec 31, 2024 (-0.9%), $331 million in the year ended Dec 31, 2023 (-7.8%), $359 million in the year ended Dec 31, 2022 (+3.2%) and $348 million in the year ended Dec 31, 2021 (+21.7%).
- Quarterly Operating Expenses has ranged from $74 million in the quarter ended Jun 30, 2023 to $95 million in the quarter ended Mar 31, 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last seven quarters, with growth averaging 4.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 234.56 Bn | 217.67 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 106.49 Bn | 99.63 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 81.85 Bn | 80.89 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 68.38 Bn | 66.28 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 42.93 Bn | 32.55 Bn | 2.04 Bn | 7.63 Bn |
| 6 | Nutrien | 33.61 Bn | 30.47 Bn | 3.25 Bn | 235.00 Mn |
| 7 | Ppg Industries | 24.59 Bn | 17.39 Bn | 1.81 Bn | 1.15 Bn |
| 8 | International Flavors & Fragrances | 24.03 Bn | 21.72 Bn | 853.00 Mn | 613.00 Mn |
| 9 | Dow | 23.60 Bn | 9.04 Bn | 1.38 Bn | 597.00 Mn |
| 10 | Icl | 6.14 Bn | 2.84 Bn | 664.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 92.00 Mn |
| Dec 31, 2025 | 90.00 Mn |
| Sep 30, 2025 | 93.00 Mn |
| Mar 31, 2025 | 95.00 Mn |
| Dec 31, 2024 | 87.00 Mn |
| Sep 30, 2024 | 111.00 Mn |
| Jun 30, 2024 | 92.00 Mn |
| Mar 31, 2024 | 81.00 Mn |
| Dec 31, 2023 | 150.00 Mn |
| Sep 30, 2023 | 83.00 Mn |
| Jun 30, 2023 | 74.00 Mn |
| Jun 30, 2019 | 230.00 Mn |
| Dec 31, 2018 | 75.00 Mn |
| Sep 30, 2018 | -63.00 Mn |
| Jun 30, 2018 | 188.00 Mn |
| Mar 31, 2018 | 151.00 Mn |
| Dec 31, 2017 | 85.00 Mn |
| Jun 30, 2017 | -52.00 Mn |
| Mar 31, 2017 | -51.00 Mn |
| Dec 31, 2016 | -61.00 Mn |
API Access
Icl 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=ICL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ICL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();