Yubo International Biotech (YBGJ) Total Non-Current Liabilities (2021 - 2026)
Yubo International Biotech's Total Non-Current Liabilities was $2.12 million in Q1 2026, down 46.3% from $3.96 million a year earlier but up 10.6% from the prior quarter.
Yubo International Biotech (YBGJ) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Yubo International Biotech came in at $1.92 million, down 51.8% from FY2024.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of -0.1% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $3.98 million in FY2024 (+29.5%), $3.08 million in FY2023 (+25.4%), $2.45 million in FY2022 (+27.3%) and $1.93 million in FY2021.
- Quarterly Total Non-Current Liabilities has moved between $1.75 million (Q3 2025) and $4.49 million (Q3 2024) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with growth averaging 0.9% over the last seven quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2024 (growth of 78.6%); the worst was Q3 2025 (a decline of 61.1%).
- Per Business Quant data, YBGJ's Total Non-Current Liabilities in the three quarters before Q1 2026 was $1.92 million (Q4 2025), $1.75 million (Q3 2025) and $4.04 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 374.16 Bn | 325.72 Bn | 11.60 Bn | 72.84 Bn |
| 2 | Colgate Palmolive | 75.00 Bn | 69.73 Bn | 3.30 Bn | 14.17 Bn |
| 3 | Estee Lauder Companies | 39.27 Bn | 27.35 Bn | 2.74 Bn | 9.73 Bn |
| 4 | Kenvue | 37.55 Bn | 33.16 Bn | 2.30 Bn | 15.61 Bn |
| 5 | Kimberly Clark | 36.60 Bn | 33.79 Bn | 1.60 Bn | 16.06 Bn |
| 6 | Church & Dwight | 24.91 Bn | 23.44 Bn | 693.90 Mn | 4.43 Bn |
| 7 | Clorox | 10.52 Bn | 8.80 Bn | 804.00 Mn | 7.14 Bn |
| 8 | e.l.f. Beauty | 6.74 Bn | 5.71 Bn | 398.84 Mn | 1.24 Bn |
| 9 | Reynolds Consumer Products | 4.85 Bn | 4.51 Bn | 245.00 Mn | 2.66 Bn |
| 10 | Yubo International Biotech | 1.20 Mn | 1.20 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.12 Mn |
| Dec 31, 2025 | 1.92 Mn |
| Sep 30, 2025 | 1.75 Mn |
| Jun 30, 2025 | 4.04 Mn |
| Mar 31, 2025 | 3.96 Mn |
| Dec 31, 2024 | 3.98 Mn |
| Sep 30, 2024 | 4.49 Mn |
| Jun 30, 2024 | 3.95 Mn |
| Dec 31, 2023 | 3.08 Mn |
| Sep 30, 2023 | 2.51 Mn |
| Jun 30, 2023 | 2.55 Mn |
| Mar 31, 2023 | 2.29 Mn |
| Dec 31, 2022 | 2.45 Mn |
| Sep 30, 2022 | 1.99 Mn |
| Dec 31, 2021 | 1.93 Mn |
Yubo International Biotech 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=YBGJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "YBGJ", "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=YBGJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();