Ecolab (ECL) Operating Expenses (2009 - 2026)
Ecolab (ECL) reported Operating Expenses of $1.14 billion for Q2 2026, up 6.2% from $1.08 billion a year earlier and up 3.6% from the prior quarter.
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Analysis
Ecolab (ECL) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ecolab's Operating Expenses came in at $4.41 billion, down 3.1% year-over-year; for FY2025, it was $4.29 billion, down 2.7% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $4.41 billion in FY2024 (+7.8%), $4.09 billion in FY2023 (+9.5%), $3.74 billion in FY2022 (+8.4%) and $3.45 billion in FY2021 (+1.8%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q1 2025.
- Year over year, Operating Expenses gained in four of the last eight quarters, with growth averaging 2.6%.
- The high point for year-over-year Operating Expenses in five years was Q4 2024 (growth of 20.6%); the low point was Q4 2025 (a decline of 11.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.1 billion (Q1 2026), $1.08 billion (Q4 2025) and $1.09 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 78.59 Bn | 70.36 Bn | 1.95 Bn | 1.14 Bn |
| 2 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | 573.00 Mn |
| 3 | Veralto | 23.49 Bn | 16.14 Bn | 902.00 Mn | 587.00 Mn |
| 4 | Badger Meter | 3.66 Bn | 2.93 Bn | 90.77 Mn | 51.40 Mn |
| 5 | Ceco Environmental | 3.13 Bn | 2.96 Bn | 86.47 Mn | 109.35 Mn |
| 6 | NWPX Infrastructure | 993.98 Mn | 955.45 Mn | 34.36 Mn | 13.21 Mn |
| 7 | Energy Recovery | 343.89 Mn | 19.06 Mn | 8.96 Mn | 14.84 Mn |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | 9.81 Mn |
| 9 | AirJoule Technologies | 296.32 Mn | 175.95 Mn | - | 5.04 Mn |
| 10 | LanzaTech Global | 77.75 Mn | -37.39 Mn | 1.91 Mn | 18.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.14 Bn |
| Mar 31, 2026 | 1.10 Bn |
| Dec 31, 2025 | 1.08 Bn |
| Sep 30, 2025 | 1.09 Bn |
| Jun 30, 2025 | 1.08 Bn |
| Mar 31, 2025 | 1.23 Bn |
| Dec 31, 2024 | 1.22 Bn |
| Sep 30, 2024 | 1.03 Bn |
| Jun 30, 2024 | 1.08 Bn |
| Mar 31, 2024 | 1.10 Bn |
| Dec 31, 2023 | 1.01 Bn |
| Sep 30, 2023 | 1.05 Bn |
| Jun 30, 2023 | 1.02 Bn |
| Mar 31, 2023 | 1.01 Bn |
| Dec 31, 2022 | 927.50 Mn |
| Sep 30, 2022 | 889.30 Mn |
| Jun 30, 2022 | 944.40 Mn |
| Mar 31, 2022 | 949.80 Mn |
| Dec 31, 2021 | 877.90 Mn |
| Sep 30, 2021 | 834.20 Mn |
API Access
Ecolab Operating Expenses 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=operating-expenses&ticker=ECL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ECL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();