Yatsen Holding (YSG) Non-Current Assets (2019 - 2026)
Yatsen Holding's Non-Current Assets was $248.51 million in Q2 2026, up 6.7% from $232.96 million a year earlier and up 8.1% from the prior quarter.
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Analysis
Yatsen Holding (YSG) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Yatsen Holding came in at $230.63 million, up 3.7% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $222.38 million in FY2024 (-23.1%), $289.36 million in FY2023 (-15.2%), $341.33 million in FY2022 (-19.9%) and $426.22 million in FY2021 (+128.1%).
- The Q2 2026 figure marks the highest quarterly Non-Current Assets since Q3 2024.
- Compared with a year earlier, Non-Current Assets has increased for three straight quarters, with an average decline of 10.1% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q4 2021 (growth of 130.9%); the worst was Q4 2022 (a decline of 22.1%).
- Per Business Quant data, YSG's Non-Current Assets in the three quarters before Q2 2026 was $229.95 million (Q1 2026), $227.39 million (Q4 2025) and $232.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 100.31 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 10.48 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 12.15 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 20.84 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 12.20 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 7.58 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 5.97 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.60 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 3.89 Bn |
| 10 | Yatsen Holding | 476.82 Mn | -91.48 Mn | 124.36 Mn | 248.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248.51 Mn |
| Mar 31, 2026 | 229.95 Mn |
| Dec 31, 2025 | 227.39 Mn |
| Sep 30, 2025 | 232.47 Mn |
| Jun 30, 2025 | 232.96 Mn |
| Mar 31, 2025 | 225.56 Mn |
| Dec 31, 2024 | 225.98 Mn |
| Sep 30, 2024 | 294.45 Mn |
| Jun 30, 2024 | 285.29 Mn |
| Mar 31, 2024 | 278.54 Mn |
| Dec 31, 2023 | 285.33 Mn |
| Sep 30, 2023 | 329.35 Mn |
| Jun 30, 2023 | 332.51 Mn |
| Mar 31, 2023 | 344.85 Mn |
| Dec 31, 2022 | 331.02 Mn |
| Sep 30, 2022 | 329.27 Mn |
| Jun 30, 2022 | 362.81 Mn |
| Mar 31, 2022 | 402.41 Mn |
| Dec 31, 2021 | 424.83 Mn |
| Sep 30, 2021 | 387.61 Mn |
API Access
Yatsen Holding Non-Current Assets 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=non-current-assets&ticker=YSG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=YSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();