Icl (ICL) EBITDA (2013 - 2026)
Icl (ICL) posted EBITDA of $448 million for the quarter ended Jun 30, 2026, up 27.6% from $351 million a year earlier and up 13.4% from the prior quarter.
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Analysis
Icl (ICL) EBITDA (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Icl was $1.37 billion, up 1.9% year-over-year; for the year ended Dec 31, 2025, it came in at $1.49 billion, up 8.5% from the prior year.
- Annual EBITDA shows a five-year compound annual growth rate of 16.6% (years ended Dec 2020 to Dec 2025).
- In prior years, Icl's EBITDA was $1.37 billion in the year ended Dec 31, 2024 (-18.2%), $1.68 billion in the year ended Dec 31, 2023 (-58.2%), $4.01 billion in the year ended Dec 31, 2022 (+136.1%) and $1.7 billion in the year ended Dec 31, 2021 (+146.0%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EBITDA since the quarter ended Dec 31, 2022.
- On a year-over-year basis, EBITDA increased in five of the last eight quarters, with an average decline of 0.1%.
- The strongest year-over-year quarter for EBITDA in the past five years was the quarter ended Dec 31, 2021, with growth of 120.1%; the weakest was the quarter ended Dec 31, 2023, with a decline of 56.4%.
- According to Business Quant data, EBITDA for the three prior quarters was $395 million (quarter ended Mar 31, 2026), $141 million (quarter ended Dec 31, 2025) and $387 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 3.52 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 1.09 Bn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 1.42 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -1.71 Bn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 1.89 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 3.69 Bn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 465.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 264.00 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 796.00 Mn |
| 10 | Icl | 6.52 Bn | 4.30 Bn | 664.00 Mn | 448.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 448.00 Mn |
| Mar 31, 2026 | 395.00 Mn |
| Dec 31, 2025 | 141.00 Mn |
| Sep 30, 2025 | 387.00 Mn |
| Jun 30, 2025 | 351.00 Mn |
| Mar 31, 2025 | 336.00 Mn |
| Dec 31, 2024 | 304.00 Mn |
| Sep 30, 2024 | 354.00 Mn |
| Jun 30, 2024 | 363.00 Mn |
| Mar 31, 2024 | 350.00 Mn |
| Dec 31, 2023 | 295.00 Mn |
| Sep 30, 2023 | 346.00 Mn |
| Jun 30, 2023 | 441.00 Mn |
| Dec 31, 2022 | 676.00 Mn |
| Dec 31, 2021 | 590.00 Mn |
| Dec 31, 2020 | 268.00 Mn |
| Dec 31, 2019 | 201.00 Mn |
| Jun 30, 2019 | 339.00 Mn |
| Dec 31, 2018 | 273.00 Mn |
| Sep 30, 2018 | 293.00 Mn |
API Access
Icl EBITDA 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=ebitda&ticker=ICL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ICL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();