Yubo International Biotech (YBGJ) Operating Expenses (2010 - 2026)
Yubo International Biotech's Operating Expenses came in at $289,274 for Q1 2026, down 38.1% from $467,299 a year earlier and down 1.5% from the prior quarter.
Yubo International Biotech (YBGJ) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Yubo International Biotech reported Operating Expenses of $1.14 million, down 37.5% year-over-year; for FY2025, it came in at $1.2 million, down 32.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -9.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.77 million in FY2024 (+9.8%), $1.61 million in FY2023 (+28.3%), $1.26 million in FY2022 (-46.8%) and $2.36 million in FY2021 (+21.1%).
- The five-year range for quarterly Operating Expenses is -$74,547 (Q4 2022) to $607,052 (Q4 2021).
- Year-over-year, Operating Expenses has declined for four consecutive quarters, with an average decline of 9.9% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2024 (growth of 57.8%), and the weakest in Q2 2025 (a decline of 46.9%).
- Business Quant data shows YBGJ's Operating Expenses at $293,633 (Q4 2025), $310,134 (Q3 2025) and $249,699 (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 374.16 Bn | 325.72 Bn | 11.60 Bn | 5.66 Bn |
| 2 | Colgate Palmolive | 75.00 Bn | 69.73 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 39.27 Bn | 27.35 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 37.55 Bn | 33.16 Bn | 2.30 Bn | 1.60 Bn |
| 5 | Kimberly Clark | 36.60 Bn | 33.79 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.91 Bn | 23.44 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 10.52 Bn | 8.80 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.74 Bn | 5.71 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.85 Bn | 4.51 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Yubo International Biotech | 1.20 Mn | 1.20 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 289,274.00 |
| Dec 31, 2025 | 293,633.00 |
| Sep 30, 2025 | 310,134.00 |
| Jun 30, 2025 | 249,699.00 |
| Mar 31, 2025 | 467,299.00 |
| Dec 31, 2024 | 357,285.00 |
| Sep 30, 2024 | 532,764.00 |
| Jun 30, 2024 | 470,436.00 |
| Mar 31, 2024 | 412,082.00 |
| Dec 31, 2023 | 535,383.00 |
| Sep 30, 2023 | 337,659.00 |
| Jun 30, 2023 | 368,161.00 |
| Mar 31, 2023 | 374,222.00 |
| Dec 31, 2022 | -74,547.00 |
| Sep 30, 2022 | 247,870.00 |
| Jun 30, 2022 | 497,351.00 |
| Mar 31, 2022 | 587,201.00 |
| Dec 31, 2021 | 607,052.00 |
| Sep 30, 2021 | 419,211.00 |
| Jun 30, 2021 | 583,088.00 |
Yubo International Biotech Operating 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=operating-expenses&ticker=YBGJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=YBGJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();