Ecolab (ECL) Shares Outstanding (Diluted) (2009 - 2026)
Ecolab (ECL) posted Weighted Average Shares Outstanding (Diluted) of 282.2 million for Q3 2026, down 1.1% from 285.4 million a year earlier and unchanged from the prior quarter.
Ecolab (ECL) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Ecolab's Weighted Average Shares Outstanding (Diluted) came in at 285.2 million, down 0.5% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In prior years, Ecolab's Weighted Average Shares Outstanding (Diluted) was 286.6 million in FY2024 (unchanged), 286.5 million in FY2023 (unchanged), 286.6 million in FY2022 (-0.9%) and 289.1 million in FY2021 (-0.4%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has run from a low of 282.2 million in Q2 2026 to a high of 289.1 million in Q4 2021 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has declined in each of the last seven quarters, with an average decline of 0.6% over the last eight quarters.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding (Diluted) in the past five years was Q1 2024, with growth of 0.7%; the weakest was Q2 2026, with a decline of 1.1%.
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 282.2 million (Q2 2026), 283.7 million (Q1 2026) and 285.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 86.73 Bn | 79.74 Bn | 2.07 Bn | 282.10 Mn |
| 2 | Veralto | 28.77 Bn | 21.41 Bn | 908.00 Mn | 245.30 Mn |
| 3 | Xylem | 21.59 Bn | 17.56 Bn | 907.00 Mn | 233.04 Mn |
| 4 | Badger Meter | 4.42 Bn | 3.83 Bn | 98.85 Mn | 28.87 Mn |
| 5 | Ceco Environmental | 3.20 Bn | 2.99 Bn | 130.10 Mn | 58.55 Mn |
| 6 | NWPX Infrastructure | 866.95 Mn | 825.03 Mn | 38.19 Mn | 9.81 Mn |
| 7 | Energy Recovery | 370.21 Mn | 32.65 Mn | 4.20 Mn | 51.03 Mn |
| 8 | Cadiz | 265.95 Mn | 231.07 Mn | -24,000.00 | 10.80 Mn |
| 9 | AirJoule Technologies | 157.70 Mn | 37.32 Mn | - | 28.75 Mn |
| 10 | LanzaTech Global | 50.39 Mn | -47.24 Mn | 1.91 Mn | 11.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 282.10 Mn |
| Jun 30, 2026 | 282.20 Mn |
| Mar 31, 2026 | 283.70 Mn |
| Dec 31, 2025 | 285.20 Mn |
| Sep 30, 2025 | 285.40 Mn |
| Jun 30, 2025 | 285.40 Mn |
| Mar 31, 2025 | 285.30 Mn |
| Dec 31, 2024 | 286.60 Mn |
| Sep 30, 2024 | 286.00 Mn |
| Jun 30, 2024 | 287.00 Mn |
| Mar 31, 2024 | 287.80 Mn |
| Dec 31, 2023 | 286.50 Mn |
| Sep 30, 2023 | 286.90 Mn |
| Jun 30, 2023 | 286.30 Mn |
| Mar 31, 2023 | 285.90 Mn |
| Dec 31, 2022 | 286.60 Mn |
| Sep 30, 2022 | 286.30 Mn |
| Jun 30, 2022 | 286.60 Mn |
| Mar 31, 2022 | 288.10 Mn |
| Dec 31, 2021 | 289.10 Mn |
Ecolab Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ECL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ECL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();