Yatsen Holding (YSG) Shares Outstanding (2019 - 2026)
Yatsen Holding (YSG) reported Shares Outstanding of 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 (2019 - 2026) Analysis & Trends
Dating back to Q4 2019, Yatsen Holding's Shares Outstanding record includes 27 quarters.
- Shares Outstanding has declined for four consecutive years, though with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 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%).
- Five-year quarterly Shares Outstanding spans a low of 41.69 million in Q3 2021 and a high of 126.34 million in Q3 2022.
- Year over year, Shares Outstanding has now declined in each of the last 15 quarters, with an average decline of 7.8% over the last eight quarters.
- The high point for year-over-year Shares Outstanding in five years was Q3 2022 (growth of 203.1%); the low point was Q4 2025 (a decline of 8.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 93.13 million (Q1 2026), 93.13 million (Q4 2025) and 101.25 million (Q3 2025).
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 | 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 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=YSG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=YSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();