Ecolab (ECL) Shares Outstanding (2009 - 2026)
Ecolab's Shares Outstanding was 280.7 million in Q2 2026, down 1.0% from 283.5 million a year earlier and down 0.5% from the prior quarter.
Analysis
Ecolab (ECL) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Ecolab came in at 283.3 million, down 0.4% from FY2024.
- Shares Outstanding has now declined for 11 consecutive years, with a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 284.3 million in FY2024 (-0.2%), 285 million in FY2023 (-0.1%), 285.2 million in FY2022 (-0.4%) and 286.3 million in FY2021 (-0.2%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding since Q4 2011.
- Compared with a year earlier, Shares Outstanding has declined for three straight quarters, with an average decline of 0.5% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was Q1 2024 (growth of 0.4%); the worst was Q2 2026 (a decline of 1.0%).
- Per Business Quant data, ECL's Shares Outstanding in the three quarters before Q2 2026 was 282 million (Q1 2026), 283.3 million (Q4 2025) and 283.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 280.70 Mn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 236.30 Mn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 245.20 Mn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | 29.04 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 | 9.64 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 | 84.15 Mn |
| 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 280.70 Mn |
| Mar 31, 2026 | 282.00 Mn |
| Dec 31, 2025 | 283.30 Mn |
| Sep 30, 2025 | 283.50 Mn |
| Jun 30, 2025 | 283.50 Mn |
| Mar 31, 2025 | 283.40 Mn |
| Dec 31, 2024 | 284.30 Mn |
| Sep 30, 2024 | 283.60 Mn |
| Jun 30, 2024 | 284.60 Mn |
| Mar 31, 2024 | 285.70 Mn |
| Dec 31, 2023 | 285.00 Mn |
| Sep 30, 2023 | 285.10 Mn |
| Jun 30, 2023 | 284.90 Mn |
| Mar 31, 2023 | 284.60 Mn |
| Dec 31, 2022 | 285.20 Mn |
| Sep 30, 2022 | 284.90 Mn |
| Jun 30, 2022 | 285.10 Mn |
| Mar 31, 2022 | 286.20 Mn |
| Dec 31, 2021 | 286.30 Mn |
| Sep 30, 2021 | 286.40 Mn |
API Access
Ecolab Shares Outstanding 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&ticker=ECL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=ECL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();