Icl (ICL) Inventory (2013 - 2026)
Icl (ICL) recorded Inventory of $1.83 billion in the quarter ended Jun 30, 2026, up 8.5% from $1.69 billion a year earlier but down 1.7% from the prior quarter.
Icl (ICL) Inventory (2013 - 2026) Analysis & Trends
As of Dec 31, 2025, Icl reported Inventory of $1.93 billion, up 18.9% from the prior year.
- Annual Inventory has a five-year compound annual growth rate of 9.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Inventory came in at $1.63 billion in the year ended Dec 31, 2024 (-4.5%), $1.7 billion in the year ended Dec 31, 2023 (-20.2%), $2.13 billion in the year ended Dec 31, 2022 (+35.9%) and $1.57 billion in the year ended Dec 31, 2021 (+25.6%).
- Quarterly Inventory has ranged from $1.54 billion in the quarter ended Jun 30, 2024 to $2.13 billion in the quarter ended Dec 31, 2022 over the past five years.
- On a year-over-year basis, Inventory has increased for five consecutive quarters, with growth averaging 6.4% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 35.9% in the quarter ended Dec 31, 2022, against a decline of 23.0% in the quarter ended Jun 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.87 billion (quarter ended Mar 31, 2026), $1.93 billion (quarter ended Dec 31, 2025) and $1.78 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 2.12 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 3.43 Bn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 2.53 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | 751.60 Mn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 4.08 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 6.16 Bn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 730.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 1.67 Bn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 2.23 Bn |
| 10 | Icl | 6.52 Bn | 4.30 Bn | 664.00 Mn | 1.83 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.83 Bn |
| Mar 31, 2026 | 1.87 Bn |
| Dec 31, 2025 | 1.93 Bn |
| Sep 30, 2025 | 1.78 Bn |
| Jun 30, 2025 | 1.69 Bn |
| Mar 31, 2025 | 1.63 Bn |
| Dec 31, 2024 | 1.63 Bn |
| Sep 30, 2024 | 1.59 Bn |
| Jun 30, 2024 | 1.54 Bn |
| Mar 31, 2024 | 1.63 Bn |
| Dec 31, 2023 | 1.70 Bn |
| Sep 30, 2023 | 1.72 Bn |
| Jun 30, 2023 | 2.01 Bn |
| Dec 31, 2022 | 2.13 Bn |
| Dec 31, 2021 | 1.57 Bn |
| Dec 31, 2020 | 1.25 Bn |
| Dec 31, 2019 | 1.31 Bn |
| Dec 31, 2018 | 1.29 Bn |
| Dec 31, 2017 | 1.23 Bn |
| Jun 30, 2017 | 1.28 Bn |
Icl Inventory 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=inventory&ticker=ICL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ICL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();