Yatsen Holding (YSG) Revenue (2019 - 2026)
Yatsen Holding (YSG) recorded Revenue of $168.34 million in Q2 2026, up 11.0% from $151.7 million a year earlier and up 13.7% from the prior quarter.
Yatsen Holding (YSG) Revenue (2019 - 2026) Analysis & Trends
On a TTM basis, Yatsen Holding's Revenue came in at $653.85 million as of Jun 30, 2026, up 25.6% year-over-year; for FY2025, it was $614.62 million, up 32.2% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of -5.2% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $464.9 million in FY2024 (-3.3%), $480.96 million in FY2023 (-10.5%), $537.34 million in FY2022 (-41.4%) and $916.42 million in FY2021 (+14.3%).
- Quarterly Revenue has ranged from $96.47 million in Q3 2024 to $239.76 million in Q4 2021 over the past five years.
- On a year-over-year basis, Revenue has increased for seven consecutive quarters, with growth averaging 19.8% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 45.4% in Q3 2025, against a decline of 42.1% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $148.01 million (Q1 2026), $197.26 million (Q4 2025) and $140.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 21.20 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 5.36 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 3.96 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 3.63 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 4.19 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 1.53 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 1.95 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 479.37 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 944.00 Mn |
| 10 | Yatsen Holding | 478.70 Mn | -89.60 Mn | 124.36 Mn | 168.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.34 Mn |
| Mar 31, 2026 | 148.01 Mn |
| Dec 31, 2025 | 197.26 Mn |
| Sep 30, 2025 | 140.25 Mn |
| Jun 30, 2025 | 151.70 Mn |
| Mar 31, 2025 | 114.86 Mn |
| Dec 31, 2024 | 157.35 Mn |
| Sep 30, 2024 | 96.47 Mn |
| Jun 30, 2024 | 109.33 Mn |
| Mar 31, 2024 | 107.11 Mn |
| Dec 31, 2023 | 151.09 Mn |
| Sep 30, 2023 | 98.43 Mn |
| Jun 30, 2023 | 118.40 Mn |
| Mar 31, 2023 | 111.45 Mn |
| Dec 31, 2022 | 145.78 Mn |
| Sep 30, 2022 | 120.60 Mn |
| Jun 30, 2022 | 142.10 Mn |
| Mar 31, 2022 | 140.55 Mn |
| Dec 31, 2021 | 239.76 Mn |
| Sep 30, 2021 | 208.37 Mn |
Yatsen Holding Revenue 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=revenue&ticker=YSG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=YSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();