Bio Essence (BIOE) Shares Outstanding (Diluted) (2021 - 2026)
Bio Essence (BIOE) recorded Weighted Average Shares Outstanding (Diluted) of 38.01 million in Q2 2026, unchanged from 38.01 million a year earlier and unchanged from the prior quarter.
Bio Essence (BIOE) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
Starting with Q2 2021, Bio Essence's Weighted Average Shares Outstanding (Diluted) history includes 21 quarters.
- Annual Weighted Average Shares Outstanding (Diluted) has a four-year compound annual growth rate of 3.6% (FY2021 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 38.01 million in FY2024 (+5.7%), 35.95 million in FY2023 (+8.9%), 33.01 million in FY2022 (unchanged) and 33.01 million in FY2021.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) rose in 1 of the last eight quarters, with growth averaging 0.7%.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding (Diluted) ranged from 0.0% (Q2 2022) to 15.1% (Q1 2024).
- Per Business Quant, the preceding three quarters came in at 38.01 million (Q1 2026), 38.01 million (Q4 2025) and 38.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 2.41 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 799.70 Mn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 366.10 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.93 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 333.70 Mn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 238.70 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 122.03 Mn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 60.09 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 211.80 Mn |
| 10 | Bio Essence | 25.29 Mn | 25.22 Mn | 470,261.00 | 38.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.01 Mn |
| Mar 31, 2026 | 38.01 Mn |
| Dec 31, 2025 | 38.01 Mn |
| Sep 30, 2025 | 38.01 Mn |
| Jun 30, 2025 | 38.01 Mn |
| Mar 31, 2025 | 38.01 Mn |
| Dec 31, 2024 | 38.01 Mn |
| Sep 30, 2024 | 38.01 Mn |
| Jun 30, 2024 | 38.01 Mn |
| Mar 31, 2024 | 38.01 Mn |
| Dec 31, 2023 | 35.95 Mn |
| Sep 30, 2023 | 38.01 Mn |
| Jun 30, 2023 | 34.71 Mn |
| Mar 31, 2023 | 33.01 Mn |
| Dec 31, 2022 | 33.01 Mn |
| Sep 30, 2022 | 33.01 Mn |
| Jun 30, 2022 | 33.01 Mn |
| Mar 31, 2022 | 33.01 Mn |
| Dec 31, 2021 | 33.01 Mn |
| Sep 30, 2021 | 33.01 Mn |
Bio Essence Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=BIOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=BIOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();