Bio Essence (BIOE) Other Operating Expenses (2020 - 2026)
Bio Essence's Other Operating Expenses was $680.00 in Q1 2026, up 25.2% from $543.00 a year earlier.
Analysis
Bio Essence (BIOE) Other Operating Expenses (2020 - 2026) Analysis & Trends
For FY2025, Other Operating Expenses at Bio Essence came in at $30,593.
- Other Operating Expenses shows a five-year compound annual growth rate of -33.8% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was -$23,575 in FY2022 and $213,263 in FY2021 (-11.2%).
- The Q1 2026 figure marks the highest quarterly Other Operating Expenses since Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Bio Essence | 9.69 Mn | 9.62 Mn | 470,261.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 680.00 |
| Sep 30, 2025 | 650.00 |
| Mar 31, 2025 | 543.00 |
| Sep 30, 2023 | 24,047.00 |
| Jun 30, 2023 | -54,575.00 |
| Mar 31, 2023 | -4,652.00 |
| Dec 31, 2022 | -24,312.00 |
| Sep 30, 2022 | 107.00 |
| Jun 30, 2022 | -5,098.00 |
| Mar 31, 2022 | -6,688.00 |
| Dec 31, 2021 | 108,135.00 |
| Sep 30, 2021 | 9,895.00 |
| Jun 30, 2021 | 97,757.00 |
| Mar 31, 2021 | 4,809.00 |
| Dec 31, 2020 | 238,284.00 |
| Sep 30, 2020 | -17,564.00 |
| Jun 30, 2020 | 15,116.00 |
| Mar 31, 2020 | 3,194.00 |
API Access
Bio Essence Other 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=other-operating-expenses&ticker=BIOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "BIOE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=BIOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();