Icl (ICL) Tax Provisions (2013 - 2026)
Icl's Tax Provisions was $72 million in the quarter ended Jun 30, 2026, up 20.0% from $60 million a year earlier and up 35.8% from the prior quarter.
Icl (ICL) Tax Provisions (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Icl's Tax Provisions was $184 million through Jun 30, 2026, unchanged year-over-year; for the year ended Dec 31, 2025, it was $161 million, down 6.4% from the prior year.
- Tax Provisions has now declined for three consecutive years, though with a five-year compound annual growth rate of 45.1% (years ended Dec 2020 to Dec 2025).
- In earlier years, Tax Provisions was $172 million in the year ended Dec 31, 2024 (-40.1%), $287 million in the year ended Dec 31, 2023 (-75.8%), $1.19 billion in the year ended Dec 31, 2022 (+355.8%) and $260 million in the year ended Dec 31, 2021 (+940.0%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Tax Provisions since the quarter ended Jun 30, 2023.
- Compared with a year earlier, Tax Provisions was higher in five of the last eight quarters, with growth averaging 0.9%.
- The best year-over-year quarter for Tax Provisions over five years was the quarter ended Mar 31, 2026 (growth of 26.2%); the worst was the quarter ended Dec 31, 2025 (a decline of 93.9%).
- Per Business Quant data, ICL's Tax Provisions in the three quarters before the quarter ended Jun 30, 2026 was $53 million (quarter ended Mar 31, 2026), $2 million (quarter ended Dec 31, 2025) and $57 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 610.00 Mn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 40.00 Mn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 268.90 Mn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -515.40 Mn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 236.00 Mn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 382.00 Mn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 63.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 38.60 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 127.00 Mn |
| 10 | Icl | 6.52 Bn | 4.30 Bn | 664.00 Mn | 72.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.00 Mn |
| Mar 31, 2026 | 53.00 Mn |
| Dec 31, 2025 | 2.00 Mn |
| Sep 30, 2025 | 57.00 Mn |
| Jun 30, 2025 | 60.00 Mn |
| Mar 31, 2025 | 42.00 Mn |
| Dec 31, 2024 | 33.00 Mn |
| Sep 30, 2024 | 49.00 Mn |
| Jun 30, 2024 | 48.00 Mn |
| Mar 31, 2024 | 42.00 Mn |
| Dec 31, 2023 | 33.00 Mn |
| Sep 30, 2023 | 43.00 Mn |
| Jun 30, 2023 | 84.00 Mn |
| Dec 31, 2018 | 19.00 Mn |
| Dec 31, 2017 | 13.00 Mn |
| Jun 30, 2017 | 41.00 Mn |
| Mar 31, 2017 | 42.00 Mn |
| Dec 31, 2016 | 50.00 Mn |
| Jun 30, 2016 | 5.00 Mn |
| Mar 31, 2016 | 22.00 Mn |
Icl Tax Provisions 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=tax-provisions&ticker=ICL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ICL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();