Icl (ICL) Change in Property, Plant and Equipment (2013 - 2026)
Icl's Change in Property, Plant and Equipment was $190 million in Q3 2026, up 5.6% from $180 million a year earlier.
Icl (ICL) Change in Property, Plant and Equipment (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Icl's Change in Property, Plant and Equipment was $380 million through Sep 30, 2026, down 12.6% year-over-year; for FY2025, it was $824 million, up 15.6% from FY2024.
- Change in Property, Plant and Equipment shows a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In earlier years, Change in Property, Plant and Equipment was $713 million in FY2024 (-8.6%), $780 million in FY2023 (+4.4%), $747 million in FY2022 (+22.3%) and $611 million in FY2021 (-2.9%).
- Quarterly Change in Property, Plant and Equipment has moved between -$202 million (Q2 2025) and $267 million (Q4 2024) over five years.
- Compared with a year earlier, Change in Property, Plant and Equipment was higher in four of the last six quarters, with growth averaging 3.3%.
- The best year-over-year quarter for Change in Property, Plant and Equipment over five years was Q1 2025 (growth of 31.0%); the worst was Q1 2026 (a decline of 28.9%).
- Per Business Quant data, ICL's Change in Property, Plant and Equipment in the three quarters before Q3 2026 was -$197 million (Q2 2026), $135 million (Q1 2026) and $252 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 241.51 Bn | 225.21 Bn | 4.44 Bn | -1.39 Bn |
| 2 | Corning | 98.25 Bn | 90.55 Bn | 1.81 Bn | -545.00 Mn |
| 3 | Sherwin Williams | 84.58 Bn | 83.60 Bn | 3.28 Bn | -128.70 Mn |
| 4 | Air Products & Chemicals | 70.48 Bn | 73.35 Bn | - | - |
| 5 | LyondellBasell Industries | 41.62 Bn | 29.79 Bn | 1.50 Bn | -303.00 Mn |
| 6 | Nutrien | 34.33 Bn | 30.91 Bn | 1.86 Bn | 525.00 Mn |
| 7 | Ppg Industries | 27.05 Bn | 20.12 Bn | 1.76 Bn | -155.00 Mn |
| 8 | Ati | 24.87 Bn | 22.95 Bn | 380.20 Mn | -81.70 Mn |
| 9 | Qnity Electronics | 24.73 Bn | 21.17 Bn | 743.00 Mn | -78.00 Mn |
| 10 | Icl | 5.82 Bn | 2.69 Bn | 628.00 Mn | 190.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 190.00 Mn |
| Jun 30, 2026 | -197.00 Mn |
| Mar 31, 2026 | 135.00 Mn |
| Dec 31, 2025 | 252.00 Mn |
| Sep 30, 2025 | 180.00 Mn |
| Jun 30, 2025 | -202.00 Mn |
| Mar 31, 2025 | 190.00 Mn |
| Dec 31, 2024 | 267.00 Mn |
| Sep 30, 2024 | 159.00 Mn |
| Jun 30, 2024 | 142.00 Mn |
| Mar 31, 2024 | 145.00 Mn |
| Dec 31, 2023 | 255.00 Mn |
| Sep 30, 2023 | 191.00 Mn |
| Jun 30, 2023 | 170.00 Mn |
| Dec 31, 2018 | -34.00 Mn |
| Dec 31, 2017 | 140.00 Mn |
| Jun 30, 2017 | 113.00 Mn |
| Mar 31, 2017 | 106.00 Mn |
| Dec 31, 2016 | 138.00 Mn |
| Jun 30, 2016 | 154.00 Mn |
Icl Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=ICL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=ICL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();