Icl (ICL) Accumulated Expenses (2016 - 2025)
Icl (ICL) reported Accumulated Expenses of $156 million for the quarter ended Dec 31, 2025, down 13.3% from $180 million a year earlier.
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Analysis
Icl (ICL) Accumulated Expenses (2016 - 2025) Analysis & Trends
Dating back to the quarter ended Dec 31, 2016, Icl's Accumulated Expenses record includes 10 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of 0.0% (years ended Dec 2020 to Dec 2025).
- By year, Accumulated Expenses came in at $180 million in the year ended Dec 31, 2024 (-9.1%), $198 million in the year ended Dec 31, 2023 (+29.4%), $153 million in the year ended Dec 31, 2022 (-1.9%) and $156 million in the year ended Dec 31, 2021 (unchanged).
- The figure for the quarter ended Dec 31, 2025 ranks as the lowest quarterly Accumulated Expenses since the quarter ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 234.56 Bn | 217.67 Bn | 4.43 Bn |
| 2 | Corning | 106.49 Bn | 99.63 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 81.85 Bn | 80.89 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.38 Bn | 66.28 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 42.93 Bn | 32.55 Bn | 2.04 Bn |
| 6 | Nutrien | 33.61 Bn | 30.47 Bn | 3.25 Bn |
| 7 | Ppg Industries | 24.59 Bn | 17.39 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 24.03 Bn | 21.72 Bn | 853.00 Mn |
| 9 | Dow | 23.60 Bn | 9.04 Bn | 1.38 Bn |
| 10 | Icl | 6.14 Bn | 2.84 Bn | 664.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 161.00 Mn |
| Dec 31, 2024 | 82.00 Mn |
| Dec 31, 2023 | 91.00 Mn |
| Dec 31, 2022 | 91.00 Mn |
| Dec 31, 2021 | 73.00 Mn |
| Dec 31, 2020 | 76.00 Mn |
| Dec 31, 2019 | 70.00 Mn |
| Dec 31, 2018 | 85.00 Mn |
| Dec 31, 2017 | 83.00 Mn |
| Dec 31, 2016 | 72.00 Mn |
API Access
Icl Accumulated 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=accumulated-expenses&ticker=ICL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ICL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();