Colgate Palmolive (CL) Shares Outstanding (2009 - 2026)
Colgate Palmolive's Weighted Average Shares Outstanding came in at 796.9 million for Q3 2026, down 1.3% from 807.8 million a year earlier and down 0.3% from the prior quarter.
Colgate Palmolive (CL) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Colgate Palmolive's Weighted Average Shares Outstanding was 808.7 million, down 1.3% from FY2024.
- Weighted Average Shares Outstanding has declined in each of the last 14 years, with a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 819.1 million in FY2024 (-1.0%), 827.4 million in FY2023 (-1.1%), 836.4 million in FY2022 (-1.0%) and 845 million in FY2021 (-1.4%).
- The Q3 2026 figure represents the lowest quarterly Weighted Average Shares Outstanding in data going back to Q1 2009.
- Year-over-year, Weighted Average Shares Outstanding has declined for 24 consecutive quarters, with an average decline of 1.2% over the last eight quarters.
- Business Quant data shows CL's Weighted Average Shares Outstanding at 799.4 million (Q2 2026), 802.3 million (Q1 2026) and 808.7 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | 2.32 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | 796.90 Mn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 363.30 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.92 Bn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | 332.60 Mn |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | 237.10 Mn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 121.62 Mn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | 59.03 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | 210.80 Mn |
| 10 | Bath & Body Works | 4.60 Bn | 1.80 Bn | 692.00 Mn | 216.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 796.90 Mn |
| Jun 30, 2026 | 799.40 Mn |
| Mar 31, 2026 | 802.30 Mn |
| Dec 31, 2025 | 808.70 Mn |
| Sep 30, 2025 | 807.80 Mn |
| Jun 30, 2025 | 810.20 Mn |
| Mar 31, 2025 | 812.00 Mn |
| Dec 31, 2024 | 819.10 Mn |
| Sep 30, 2024 | 817.70 Mn |
| Jun 30, 2024 | 819.70 Mn |
| Mar 31, 2024 | 822.80 Mn |
| Dec 31, 2023 | 827.40 Mn |
| Sep 30, 2023 | 825.60 Mn |
| Jun 30, 2023 | 829.40 Mn |
| Mar 31, 2023 | 831.40 Mn |
| Dec 31, 2022 | 836.40 Mn |
| Sep 30, 2022 | 835.70 Mn |
| Jun 30, 2022 | 836.80 Mn |
| Mar 31, 2022 | 840.60 Mn |
| Dec 31, 2021 | 845.00 Mn |
Colgate Palmolive 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=CL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "CL", "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=CL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();