Yatsen Holding (YSG) Net Income (2019 - 2026)
Yatsen Holding (YSG) reported Net Income of -$13.34 million for Q2 2026, compared with -$2.69 million a year earlier.
Yatsen Holding (YSG) Net Income (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Yatsen Holding's Net Income came in at -$32.11 million; for FY2025, it came in at -$13.22 million.
- By year, Net Income came in at -$97.3 million in FY2024, -$105.67 million in FY2023, -$119.08 million in FY2022 and -$242.76 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Net Income since Q3 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 3.08 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 719.00 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 456.00 Mn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | -116.00 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 350.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 202.80 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 167.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 66.60 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 138.00 Mn |
| 10 | Yatsen Holding | 525.63 Mn | -42.67 Mn | 124.36 Mn | -13.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13.34 Mn |
| Mar 31, 2026 | -8.94 Mn |
| Sep 30, 2025 | -9.83 Mn |
| Jun 30, 2025 | -2.69 Mn |
| Mar 31, 2025 | -770,507.68 |
| Dec 31, 2024 | -27.84 |
| Sep 30, 2024 | -16.89 Mn |
| Jun 30, 2024 | -11.77 Mn |
| Mar 31, 2024 | -10.00 |
| Dec 31, 2023 | -69.65 Mn |
| Sep 30, 2023 | -27.36 Mn |
| Jun 30, 2023 | -15.49 Mn |
| Dec 31, 2022 | -7.97 Mn |
| Sep 30, 2022 | -30.81 Mn |
| Jun 30, 2022 | -40.08 Mn |
| Mar 31, 2022 | -18.91 |
| Dec 31, 2021 | -74.55 Mn |
| Sep 30, 2021 | -55.92 Mn |
| Jun 30, 2021 | -60.54 Mn |
| Mar 31, 2021 | -49.21 Mn |
Yatsen Holding Net Income 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=net-income&ticker=YSG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=YSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();