Kimberly Clark (KMB) Shares Outstanding (2009 - 2026)
Kimberly Clark (KMB) posted Shares Outstanding of 332.4 million for Q2 2026, up 0.1% from 332.1 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Kimberly Clark (KMB) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Kimberly Clark's Shares Outstanding came in at 331.9 million, down 1.1% from FY2024.
- Annual Shares Outstanding shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Kimberly Clark's Shares Outstanding was 335.6 million in FY2024 (-0.7%), 337.8 million in FY2023 (+0.1%), 337.4 million in FY2022 (unchanged) and 337.3 million in FY2021 (-1.0%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding since Q4 2024.
- On a year-over-year basis, Shares Outstanding increased in 1 of the last eight quarters, with an average decline of 0.8%.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q3 2022, with growth of 0.2%; the weakest was Q1 2025, with a decline of 1.5%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 331.9 million (Q1 2026), 331.9 million (Q4 2025) and 331.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 2.33 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 799.40 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 1.92 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 362.30 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 332.40 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 236.70 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 121.78 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 59.14 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 210.60 Mn |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn | 32.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 332.40 Mn |
| Mar 31, 2026 | 331.90 Mn |
| Dec 31, 2025 | 331.90 Mn |
| Sep 30, 2025 | 331.80 Mn |
| Jun 30, 2025 | 332.10 Mn |
| Mar 31, 2025 | 331.80 Mn |
| Dec 31, 2024 | 335.60 Mn |
| Sep 30, 2024 | 335.70 Mn |
| Jun 30, 2024 | 337.10 Mn |
| Mar 31, 2024 | 336.90 Mn |
| Dec 31, 2023 | 337.80 Mn |
| Sep 30, 2023 | 338.10 Mn |
| Jun 30, 2023 | 338.00 Mn |
| Mar 31, 2023 | 337.50 Mn |
| Dec 31, 2022 | 337.40 Mn |
| Sep 30, 2022 | 337.60 Mn |
| Jun 30, 2022 | 337.40 Mn |
| Mar 31, 2022 | 337.00 Mn |
| Dec 31, 2021 | 337.30 Mn |
| Sep 30, 2021 | 336.80 Mn |
API Access
Kimberly Clark 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=KMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=KMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();