Icl (ICL) Selling, General & Administrative (2013 - 2026)
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Analysis
Icl (ICL) Selling, General & Administrative (2013 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 241.51 Bn | 225.21 Bn | 4.44 Bn | 892.00 Mn |
| 2 | Corning | 98.25 Bn | 90.55 Bn | 1.81 Bn | 563.00 Mn |
| 3 | Sherwin Williams | 84.58 Bn | 83.60 Bn | 3.28 Bn | 2.07 Bn |
| 4 | Air Products & Chemicals | 70.48 Bn | 73.35 Bn | - | 228.20 Mn |
| 5 | LyondellBasell Industries | 41.62 Bn | 29.79 Bn | 1.50 Bn | 394.00 Mn |
| 6 | Nutrien | 34.33 Bn | 30.91 Bn | 1.86 Bn | 158.00 Mn |
| 7 | Ppg Industries | 27.05 Bn | 20.12 Bn | 1.76 Bn | 876.00 Mn |
| 8 | Ati | 24.87 Bn | 22.95 Bn | 380.20 Mn | 107.70 Mn |
| 9 | Qnity Electronics | 24.73 Bn | 21.17 Bn | 743.00 Mn | 200.00 Mn |
| 10 | Icl | 5.82 Bn | 2.69 Bn | 628.00 Mn | 76.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 76.00 Mn |
| Mar 31, 2026 | 77.00 Mn |
| Dec 31, 2025 | 73.00 Mn |
| Sep 30, 2025 | 77.00 Mn |
| Mar 31, 2025 | 77.00 Mn |
| Dec 31, 2024 | 68.00 Mn |
| Sep 30, 2024 | 63.00 Mn |
| Jun 30, 2024 | 64.00 Mn |
| Mar 31, 2024 | 64.00 Mn |
| Dec 31, 2023 | 71.00 Mn |
| Sep 30, 2023 | 66.00 Mn |
| Jun 30, 2023 | 55.00 Mn |
| Jun 30, 2019 | 230.00 Mn |
| Dec 31, 2018 | 62.00 Mn |
| Sep 30, 2018 | 63.00 Mn |
| Jun 30, 2018 | 188.00 Mn |
| Mar 31, 2018 | 151.00 Mn |
| Dec 31, 2017 | 70.00 Mn |
| Jun 30, 2017 | 65.00 Mn |
| Mar 31, 2017 | 66.00 Mn |
API Access
Icl 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=ICL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ICL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();