Kimberly Clark (KMB) Shares Outstanding (Entity) (2009 - 2026)
Kimberly Clark (KMB) reported Shares Outstanding (Entity) of 332.6 million for Q2 2026, up 0.2% from 331.9 million a year earlier and up 0.2% from the prior quarter.
Kimberly Clark (KMB) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Kimberly Clark posted Shares Outstanding (Entity) of 331.92 million, unchanged from FY2024.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 331.8 million in FY2024 (-1.5%), 337 million in FY2023 (-0.2%), 337.51 million in FY2022 (+0.2%) and 336.99 million in FY2021 (-0.5%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Entity) since Q3 2024.
- Year over year, Shares Outstanding (Entity) gained in 1 of the last eight quarters, with an average decline of 0.8%.
- The high point for year-over-year Shares Outstanding (Entity) in five years was Q3 2022 (growth of 0.2%); the low point was Q4 2024 (a decline of 1.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 331.94 million (Q1 2026), 331.92 million (Q4 2025) and 331.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn | 2.32 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn | 797.17 Mn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn | 362.30 Mn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn | 1.92 Bn |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn | 332.60 Mn |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn | 237.20 Mn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn | 120.93 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn | 58.94 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn | 210.80 Mn |
| 10 | Bath & Body Works | 4.40 Bn | 2.06 Bn | 692.00 Mn | 202.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 332.60 Mn |
| Mar 31, 2026 | 331.94 Mn |
| Dec 31, 2025 | 331.92 Mn |
| Sep 30, 2025 | 331.90 Mn |
| Jun 30, 2025 | 331.90 Mn |
| Mar 31, 2025 | 331.90 Mn |
| Dec 31, 2024 | 331.80 Mn |
| Sep 30, 2024 | 333.50 Mn |
| Jun 30, 2024 | 337.00 Mn |
| Mar 31, 2024 | 336.80 Mn |
| Dec 31, 2023 | 337.00 Mn |
| Sep 30, 2023 | 338.00 Mn |
| Jun 30, 2023 | 338.20 Mn |
| Mar 31, 2023 | 337.40 Mn |
| Dec 31, 2022 | 337.51 Mn |
| Sep 30, 2022 | 337.50 Mn |
| Jun 30, 2022 | 337.62 Mn |
| Mar 31, 2022 | 337.00 Mn |
| Dec 31, 2021 | 336.99 Mn |
| Sep 30, 2021 | 336.72 Mn |
Kimberly Clark Shares Outstanding (Entity) 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-entity&ticker=KMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "KMB", "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-entity&ticker=KMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();