Yatsen Holding (YSG) Shares Outstanding (Diluted) (2019 - 2026)
Yatsen Holding's Shares Outstanding (Diluted) came in at 93.13 million for Q2 2026, down 8.0% from 101.25 million a year earlier and unchanged from the prior quarter.
Yatsen Holding (YSG) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
Going back to Q4 2019, Yatsen Holding's Shares Outstanding (Diluted) data covers 27 quarters.
- Shares Outstanding (Diluted) has declined in each of the last four years, though with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 101.25 million in FY2024 (-7.8%), 109.79 million in FY2023 (-7.5%), 118.64 million in FY2022 (-6.1%) and 126.34 million in FY2021 (+203.1%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 41.69 million (Q3 2021) to 126.34 million (Q3 2022).
- Year-over-year, Shares Outstanding (Diluted) has declined for 15 consecutive quarters, with an average decline of 7.8% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q3 2022 (growth of 203.1%), and the weakest in Q4 2025 (a decline of 8.0%).
- Business Quant data shows YSG's Shares Outstanding (Diluted) at 93.13 million (Q1 2026), 93.13 million (Q4 2025) and 101.25 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 2.42 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 801.80 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 | 364.80 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 333.30 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 238.20 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 122.13 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 59.73 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 211.90 Mn |
| 10 | Yatsen Holding | 525.63 Mn | -42.67 Mn | 124.36 Mn | 93.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93.13 Mn |
| Mar 31, 2026 | 93.13 Mn |
| Dec 31, 2025 | 93.13 Mn |
| Sep 30, 2025 | 101.25 Mn |
| Jun 30, 2025 | 101.25 Mn |
| Mar 31, 2025 | 101.25 Mn |
| Dec 31, 2024 | 101.25 Mn |
| Sep 30, 2024 | 109.79 Mn |
| Jun 30, 2024 | 109.79 Mn |
| Mar 31, 2024 | 109.79 Mn |
| Dec 31, 2023 | 109.79 Mn |
| Sep 30, 2023 | 118.64 Mn |
| Jun 30, 2023 | 118.64 Mn |
| Mar 31, 2023 | 118.64 Mn |
| Dec 31, 2022 | 118.64 Mn |
| Sep 30, 2022 | 126.34 Mn |
| Jun 30, 2022 | 126.34 Mn |
| Mar 31, 2022 | 126.34 Mn |
| Dec 31, 2021 | 126.34 Mn |
| Sep 30, 2021 | 41.69 Mn |
Yatsen Holding 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=YSG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "YSG", "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=YSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();