Ecolab (ECL) Shares Outstanding (Diluted) (2009 - 2026)
Ecolab (ECL) posted Shares Outstanding (Diluted) of 282.2 million for Q2 2026, down 1.1% from 285.4 million a year earlier and down 0.5% from the prior quarter.
Ecolab (ECL) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Ecolab's Shares Outstanding (Diluted) came in at 285.2 million, down 0.5% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In prior years, Ecolab's 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%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) since Q4 2011.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined in each of the last six quarters, with an average decline of 0.5% over the last eight quarters.
- The strongest year-over-year quarter for 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, Shares Outstanding (Diluted) for the three prior quarters was 283.7 million (Q1 2026), 285.2 million (Q4 2025) and 285.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 282.20 Mn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 236.60 Mn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 245.80 Mn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | 29.14 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 43.31 Mn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 9.79 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | 51.46 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | 34,188.00 |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | 69.74 Mn |
| 10 | LanzaTech Global | 74.74 Mn | -40.40 Mn | 1.91 Mn | 11.66 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 289.20 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();