Ecolab (ECL) Amortizatization of Intangibles (2011 - 2026)
Ecolab's Amortizatization of Intangibles came in at $85.1 million for Q2 2026, up 13.5% from $75 million a year earlier and up 3.0% from the prior quarter.
Ecolab (ECL) Amortizatization of Intangibles (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ecolab reported Amortizatization of Intangibles of $321.6 million, up 8.1% year-over-year; for FY2025, it was $303.8 million, up 1.1% from FY2024.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $300.5 million in FY2024 (-2.1%), $306.9 million in FY2023 (-4.2%), $320.2 million in FY2022 (+34.1%) and $238.7 million in FY2021 (+9.3%).
- The Q2 2026 figure represents the highest quarterly Amortizatization of Intangibles in data going back to Q1 2011.
- Year-over-year, Amortizatization of Intangibles has increased for four consecutive quarters, with growth averaging 2.4% over the last eight quarters.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q2 2022 (growth of 50.8%), and the weakest in Q3 2024 (a decline of 5.3%).
- Business Quant data shows ECL's Amortizatization of Intangibles at $82.6 million (Q1 2026), $77.3 million (Q4 2025) and $76.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn | 85.10 Mn |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn | 75.00 Mn |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn | 17.00 Mn |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn | 7.01 Mn |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn | - |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn | 1.07 Mn |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn | - |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - | - |
| 10 | LanzaTech Global | 79.06 Mn | -36.08 Mn | 1.91 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.10 Mn |
| Mar 31, 2026 | 82.60 Mn |
| Dec 31, 2025 | 77.30 Mn |
| Sep 30, 2025 | 76.60 Mn |
| Jun 30, 2025 | 75.00 Mn |
| Mar 31, 2025 | 74.90 Mn |
| Dec 31, 2024 | 74.30 Mn |
| Sep 30, 2024 | 73.30 Mn |
| Jun 30, 2024 | 75.10 Mn |
| Mar 31, 2024 | 77.80 Mn |
| Dec 31, 2023 | 77.10 Mn |
| Sep 30, 2023 | 77.40 Mn |
| Jun 30, 2023 | 76.80 Mn |
| Mar 31, 2023 | 75.60 Mn |
| Dec 31, 2022 | 81.40 Mn |
| Sep 30, 2022 | 80.60 Mn |
| Jun 30, 2022 | 78.70 Mn |
| Mar 31, 2022 | 79.50 Mn |
| Dec 31, 2021 | 64.30 Mn |
| Sep 30, 2021 | 57.70 Mn |
Ecolab Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=ECL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "ECL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=ECL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();