Element Solutions (ESI) Depreciation and Depletion (2013 - 2026)
Element Solutions' Depreciation and Depletion was $15.2 million in Q2 2026, up 56.7% from $9.7 million a year earlier and up 4.8% from the prior quarter.
Element Solutions (ESI) Depreciation and Depletion (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Element Solutions' Depreciation and Depletion was $51.1 million through Jun 30, 2026, up 30.0% year-over-year; for FY2025, it came in at $41.1 million, up 2.8% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $40 million in FY2024 (-6.1%), $42.6 million in FY2023 (+2.4%), $41.6 million in FY2022 (+4.8%) and $39.7 million in FY2021 (-5.9%).
- The Q2 2026 figure marks the highest quarterly Depreciation and Depletion since Q2 2017.
- Compared with a year earlier, Depreciation and Depletion has increased for three straight quarters, with growth averaging 10.5% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q2 2026 (growth of 56.7%); the worst was Q3 2024 (a decline of 15.3%).
- Per Business Quant data, ESI's Depreciation and Depletion in the three quarters before Q2 2026 was $14.5 million (Q1 2026), $11.4 million (Q4 2025) and $10 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | - |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 368.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 98.50 Mn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | - |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | - |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | - |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | - |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 47.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | - |
| 10 | Element Solutions | 8.84 Bn | 7.27 Bn | 334.00 Mn | 15.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.20 Mn |
| Mar 31, 2026 | 14.50 Mn |
| Dec 31, 2025 | 11.40 Mn |
| Sep 30, 2025 | 10.00 Mn |
| Jun 30, 2025 | 9.70 Mn |
| Mar 31, 2025 | 10.00 Mn |
| Dec 31, 2024 | 9.60 Mn |
| Sep 30, 2024 | 10.00 Mn |
| Jun 30, 2024 | 10.30 Mn |
| Mar 31, 2024 | 10.10 Mn |
| Dec 31, 2023 | 11.20 Mn |
| Sep 30, 2023 | 11.80 Mn |
| Jun 30, 2023 | 10.10 Mn |
| Mar 31, 2023 | 9.50 Mn |
| Dec 31, 2022 | 10.10 Mn |
| Sep 30, 2022 | 10.60 Mn |
| Jun 30, 2022 | 10.30 Mn |
| Mar 31, 2022 | 10.60 Mn |
| Dec 31, 2021 | 11.00 Mn |
| Sep 30, 2021 | 9.60 Mn |
Element Solutions Depreciation and Depletion 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=depreciation-and-depletion&ticker=ESI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "ESI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=ESI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();