Ecolab (ECL) Other Operating Expenses (2009 - 2026)
Ecolab (ECL) reported Other Operating Expenses of $73.1 million for Q2 2026, up 15.7% from $63.2 million a year earlier.
Ecolab (ECL) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ecolab's Other Operating Expenses came in at $268.4 million, down 0.4% year-over-year; for FY2017, it came in at -$15.1 million.
- By year, Other Operating Expenses came in at -$65.9 million in FY2016 and -$24.7 million in FY2015.
- The Q2 2026 figure ranks as the highest quarterly Other Operating Expenses since Q3 2023.
- The high point for year-over-year Other Operating Expenses in five years was Q4 2022 (growth of 55.8%); the low point was Q3 2021 (a decline of 43.3%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 85.71 Bn | 78.69 Bn | 2.07 Bn |
| 2 | Veralto | 28.52 Bn | 21.15 Bn | 908.00 Mn |
| 3 | Xylem | 22.63 Bn | 18.36 Bn | 907.00 Mn |
| 4 | Badger Meter | 4.51 Bn | 3.92 Bn | 98.85 Mn |
| 5 | Ceco Environmental | 2.29 Bn | 2.11 Bn | 86.47 Mn |
| 6 | NWPX Infrastructure | 887.68 Mn | 845.76 Mn | 38.19 Mn |
| 7 | Energy Recovery | 377.64 Mn | 40.09 Mn | 4.20 Mn |
| 8 | Cadiz | 305.87 Mn | 270.99 Mn | -24,000.00 |
| 9 | AirJoule Technologies | 179.92 Mn | 59.54 Mn | - |
| 10 | LanzaTech Global | 53.29 Mn | -44.34 Mn | 1.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 81.40 Mn |
| Jun 30, 2026 | 46.40 Mn |
| Mar 31, 2026 | 46.40 Mn |
| Dec 31, 2025 | 74.60 Mn |
| Sep 30, 2025 | 26.20 Mn |
| Jun 30, 2025 | 24.60 Mn |
| Mar 31, 2025 | 29.50 Mn |
| Dec 31, 2024 | 103.30 Mn |
| Sep 30, 2024 | -332.60 Mn |
| Jun 30, 2024 | 12.20 Mn |
| Mar 31, 2024 | 28.20 Mn |
| Dec 31, 2023 | 29.20 Mn |
| Sep 30, 2023 | 36.70 Mn |
| Jun 30, 2023 | 21.00 Mn |
| Mar 31, 2023 | 24.50 Mn |
| Dec 31, 2022 | 95.00 Mn |
| Sep 30, 2022 | 17.80 Mn |
| Jun 30, 2022 | 3.60 Mn |
| Mar 31, 2022 | 24.10 Mn |
| Dec 31, 2021 | 65.90 Mn |
Ecolab Other 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=other-operating-expenses&ticker=ECL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=ECL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();