Yatsen Holding (YSG) Total Non-Current Liabilities (2019 - 2026)
Yatsen Holding's Total Non-Current Liabilities came in at $95.62 million for Q2 2026, up 178.6% from $34.32 million a year earlier and up 205.0% from the prior quarter.
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Analysis
Yatsen Holding (YSG) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Yatsen Holding's Total Non-Current Liabilities was $33.04 million, up 5.9% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -7.2% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $31.19 million in FY2024 (+5.5%), $29.57 million in FY2023 (-3.7%), $30.7 million in FY2022 (-49.4%) and $60.72 million in FY2021 (+26.4%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2019.
- Year-over-year, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 29.9%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 178.6%), and the weakest in Q3 2022 (a decline of 53.1%).
- Business Quant data shows YSG's Total Non-Current Liabilities at $31.35 million (Q1 2026), $32.58 million (Q4 2025) and $33.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 67.30 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 14.17 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 15.61 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 9.73 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 16.06 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 4.43 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 7.14 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 1.24 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.66 Bn |
| 10 | Yatsen Holding | 478.70 Mn | -89.60 Mn | 124.36 Mn | 95.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.62 Mn |
| Mar 31, 2026 | 31.35 Mn |
| Dec 31, 2025 | 32.58 Mn |
| Sep 30, 2025 | 33.10 Mn |
| Jun 30, 2025 | 34.32 Mn |
| Mar 31, 2025 | 32.57 Mn |
| Dec 31, 2024 | 31.69 Mn |
| Sep 30, 2024 | 30.41 Mn |
| Jun 30, 2024 | 30.76 Mn |
| Mar 31, 2024 | 27.33 Mn |
| Dec 31, 2023 | 29.15 Mn |
| Sep 30, 2023 | 26.91 Mn |
| Jun 30, 2023 | 27.24 Mn |
| Mar 31, 2023 | 27.85 Mn |
| Dec 31, 2022 | 29.77 Mn |
| Sep 30, 2022 | 29.92 Mn |
| Jun 30, 2022 | 42.14 Mn |
| Mar 31, 2022 | 52.56 Mn |
| Dec 31, 2021 | 60.52 Mn |
| Sep 30, 2021 | 63.77 Mn |
API Access
Yatsen Holding Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=YSG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=YSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();