Yubo International Biotech (YBGJ) Change in Accrued Expenses (2009 - 2026)
Yubo International Biotech (YBGJ) recorded Change in Accrued Expenses of $143,837 in Q3 2026, compared with -$93,298 a year earlier and down 1.7% from the prior quarter.
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Analysis
Yubo International Biotech (YBGJ) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Yubo International Biotech's Change in Accrued Expenses came in at $446,638 as of Sep 30, 2026, up 843.6% year-over-year; for FY2025, it was $22,896, down 89.2% from FY2024.
- Annual Change in Accrued Expenses has a five-year compound annual growth rate of -25.7% (FY2020 to FY2025).
- Across earlier years, Change in Accrued Expenses came in at $212,205 in FY2024 (-23.1%), $275,794 in FY2023 (+0.7%), $274,007 in FY2022 (+56.9%) and $174,656 in FY2021 (+72.6%).
- Quarterly Change in Accrued Expenses has ranged from -$168,654 in Q1 2023 to $294,184 in Q2 2022 over the past five years.
- On a year-over-year basis, Change in Accrued Expenses rose in 1 of the last four quarters, with growth averaging 3.9%.
- Per Business Quant, the preceding three quarters came in at $146,380 (Q2 2026), $52,889 (Q1 2026) and $103,532 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | - |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 130.00 Mn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | - |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 189.00 Mn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 78.80 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | -68.00 Mn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 42.13 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 8.00 Mn |
| 10 | Yubo International Biotech | 1.20 Mn | 1.11 Mn | - | 143,837.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 143,837.00 |
| Jun 30, 2026 | 146,380.00 |
| Mar 31, 2026 | 52,889.00 |
| Dec 31, 2025 | 103,532.00 |
| Sep 30, 2025 | -93,298.00 |
| Jun 30, 2025 | 65,779.00 |
| Mar 31, 2025 | -53,117.00 |
| Dec 31, 2024 | 127,968.00 |
| Sep 30, 2024 | -12,477.00 |
| Jun 30, 2024 | 99,351.00 |
| Mar 31, 2024 | -2,637.00 |
| Dec 31, 2023 | 278,250.00 |
| Sep 30, 2023 | 139,163.00 |
| Jun 30, 2023 | 27,035.00 |
| Mar 31, 2023 | -168,654.00 |
| Dec 31, 2022 | -134,216.00 |
| Sep 30, 2022 | -4,836.00 |
| Jun 30, 2022 | 294,184.00 |
| Mar 31, 2022 | 118,875.00 |
| Dec 31, 2021 | 218,351.00 |
API Access
Yubo International Biotech Change in Accrued Expenses 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=change-in-accured-expenses&ticker=YBGJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=YBGJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();