Ecolab (ECL) Tax Provisions (2009 - 2026)
Ecolab's Tax Provisions came in at $140.1 million for Q3 2026, up 9.5% from $128 million a year earlier but down 9.6% from the prior quarter.
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Analysis
Ecolab (ECL) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Ecolab reported Tax Provisions of $508.2 million, up 21.7% year-over-year; for FY2025, it was $454.6 million, up 3.5% from FY2024.
- Tax Provisions has increased in each of the last three years, with a five-year compound annual growth rate of 20.8% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $439.3 million in FY2024 (+21.2%), $362.5 million in FY2023 (+54.6%), $234.5 million in FY2022 (-13.2%) and $270.2 million in FY2021 (+53.0%).
- The five-year range for quarterly Tax Provisions is $42.3 million (Q1 2024) to $246.5 million (Q3 2024).
- Year-over-year, Tax Provisions has increased for four consecutive quarters, with growth averaging 23.7% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in Q3 2024 (growth of 154.6%), and the weakest in Q4 2024 (a decline of 56.7%).
- Business Quant data shows ECL's Tax Provisions at $154.9 million (Q2 2026), $121.5 million (Q1 2026) and $91.7 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.71 Bn | 78.69 Bn | 2.07 Bn | 140.10 Mn |
| 2 | Veralto | 28.52 Bn | 21.15 Bn | 908.00 Mn | 20.00 Mn |
| 3 | Xylem | 22.63 Bn | 18.36 Bn | 907.00 Mn | 77.00 Mn |
| 4 | Badger Meter | 4.51 Bn | 3.92 Bn | 98.85 Mn | 12.06 Mn |
| 5 | Ceco Environmental | 2.29 Bn | 2.11 Bn | 86.47 Mn | -10.09 Mn |
| 6 | NWPX Infrastructure | 887.68 Mn | 845.76 Mn | 38.19 Mn | 5.74 Mn |
| 7 | Energy Recovery | 377.64 Mn | 40.09 Mn | 4.20 Mn | -2.87 Mn |
| 8 | Cadiz | 305.87 Mn | 270.99 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 179.92 Mn | 59.54 Mn | - | -2.92 Mn |
| 10 | LanzaTech Global | 53.29 Mn | -44.34 Mn | 1.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 140.10 Mn |
| Jun 30, 2026 | 154.90 Mn |
| Mar 31, 2026 | 121.50 Mn |
| Dec 31, 2025 | 91.70 Mn |
| Sep 30, 2025 | 128.00 Mn |
| Jun 30, 2025 | 131.40 Mn |
| Mar 31, 2025 | 103.50 Mn |
| Dec 31, 2024 | 54.80 Mn |
| Sep 30, 2024 | 246.50 Mn |
| Jun 30, 2024 | 95.70 Mn |
| Mar 31, 2024 | 42.30 Mn |
| Dec 31, 2023 | 126.70 Mn |
| Sep 30, 2023 | 96.80 Mn |
| Jun 30, 2023 | 86.60 Mn |
| Mar 31, 2023 | 52.40 Mn |
| Dec 31, 2022 | 52.10 Mn |
| Sep 30, 2022 | 60.20 Mn |
| Jun 30, 2022 | 76.60 Mn |
| Mar 31, 2022 | 45.60 Mn |
| Dec 31, 2021 | 44.20 Mn |
API Access
Ecolab 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=ECL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ECL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();