Icl (ICL) EPS (Diluted) (2013 - 2026)
Icl (ICL) recorded EPS (Diluted) of $0.11 in the quarter ended Jun 30, 2026, up 47.2% from $0.07 a year earlier but down 1.4% from the prior quarter.
Icl (ICL) EPS (Diluted) (2013 - 2026) Analysis & Trends
On a TTM basis, Icl's EPS (Diluted) came in at $0.26 as of Jun 30, 2026, down 16.9% year-over-year; for the year ended Dec 31, 2025, it was $0.18, down 53.4% from the prior year.
- Annual EPS (Diluted) has declined for three straight years, though with a five-year compound annual growth rate of 56.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, EPS (Diluted) came in at $0.38 in the year ended Dec 31, 2024 (-29.5%), $0.53 in the year ended Dec 31, 2023 (-69.1%), $1.72 in the year ended Dec 31, 2022 (+166.1%) and $0.65 in the year ended Dec 31, 2021.
- Quarterly EPS (Diluted) has ranged from -$0.05 in the quarter ended Dec 31, 2025 to $0.39 in the quarter ended Dec 31, 2022 over the past five years.
- On a year-over-year basis, EPS (Diluted) rose in three of the last seven quarters, with growth averaging 2.8%.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 350.8% in the quarter ended Dec 31, 2021, against a decline of 83.2% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $0.11 (quarter ended Mar 31, 2026), -$0.05 (quarter ended Dec 31, 2025) and $0.10 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 4.15 |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 0.64 |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 3.43 |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -6.47 |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 0.86 |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 2.51 |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 0.59 |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 1.09 |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 1.95 |
| 10 | Icl | 6.52 Bn | 4.30 Bn | 664.00 Mn | 0.11 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.11 |
| Mar 31, 2026 | 0.11 |
| Dec 31, 2025 | -0.05 |
| Sep 30, 2025 | 0.10 |
| Jun 30, 2025 | 0.07 |
| Mar 31, 2025 | 0.09 |
| Dec 31, 2024 | 0.06 |
| Sep 30, 2024 | 0.10 |
| Jun 30, 2024 | 0.10 |
| Mar 31, 2024 | 0.10 |
| Dec 31, 2023 | 0.07 |
| Sep 30, 2023 | 0.11 |
| Jun 30, 2023 | 0.13 |
| Dec 31, 2022 | 0.39 |
| Dec 31, 2021 | 0.33 |
| Dec 31, 2020 | 0.07 |
| Dec 31, 2019 | 0.05 |
| Jun 30, 2019 | 0.16 |
| Dec 31, 2018 | 0.07 |
| Sep 30, 2018 | 0.13 |
Icl EPS (Diluted) 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=eps-diluted&ticker=ICL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=ICL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();