Yatsen Holding (YSG) Total Current Liabilities (2019 - 2026)
Yatsen Holding's Total Current Liabilities came in at $89.24 million for Q2 2026, down 2.9% from $91.92 million a year earlier but up 3.7% from the prior quarter.
Yatsen Holding (YSG) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Yatsen Holding's Total Current Liabilities was $87.98 million, up 0.3% from FY2024.
- Total Current Liabilities has increased in each of the last three years, though with a five-year compound annual growth rate of -12.7% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $87.71 million in FY2024 (+1.9%), $86.1 million in FY2023 (+0.9%), $85.31 million in FY2022 (-38.1%) and $137.71 million in FY2021 (-20.5%).
- The five-year range for quarterly Total Current Liabilities is $72.53 million (Q1 2025) to $148.86 million (Q3 2021).
- Year-over-year, Total Current Liabilities increased in five of the last eight quarters, with growth averaging 9.0%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2025 (growth of 32.1%), and the weakest in Q1 2022 (a decline of 49.8%).
- Business Quant data shows YSG's Total Current Liabilities at $86.04 million (Q1 2026), $86.75 million (Q4 2025) and $108.44 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 38.69 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 6.15 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 6.23 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 5.87 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 6.99 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 1.33 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 2.77 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 337.66 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 660.00 Mn |
| 10 | Yatsen Holding | 476.82 Mn | -91.48 Mn | 124.36 Mn | 89.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.24 Mn |
| Mar 31, 2026 | 86.04 Mn |
| Dec 31, 2025 | 86.75 Mn |
| Sep 30, 2025 | 108.44 Mn |
| Jun 30, 2025 | 91.92 Mn |
| Mar 31, 2025 | 72.53 Mn |
| Dec 31, 2024 | 89.12 Mn |
| Sep 30, 2024 | 82.12 Mn |
| Jun 30, 2024 | 78.81 Mn |
| Mar 31, 2024 | 76.04 Mn |
| Dec 31, 2023 | 84.91 Mn |
| Sep 30, 2023 | 74.92 Mn |
| Jun 30, 2023 | 79.05 Mn |
| Mar 31, 2023 | 76.65 Mn |
| Dec 31, 2022 | 82.73 Mn |
| Sep 30, 2022 | 91.87 Mn |
| Jun 30, 2022 | 112.31 Mn |
| Mar 31, 2022 | 86.83 Mn |
| Dec 31, 2021 | 137.26 Mn |
| Sep 30, 2021 | 148.86 Mn |
Yatsen Holding Total 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-current-liabilities&ticker=YSG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=YSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();