Functional Brands (MEHA) Shares Outstanding (Diluted) (2024 - 2026)
Functional Brands (MEHA) posted Shares Outstanding (Diluted) of 42.67 million for Q2 2026, up 513.8% from 6.95 million a year earlier and up 117.8% from the prior quarter.
Functional Brands (MEHA) Shares Outstanding (Diluted) (2024 - 2026) Analysis & Trends
For FY2025, Functional Brands' Shares Outstanding (Diluted) came in at 85.12 million.
- In prior years, Functional Brands' Shares Outstanding (Diluted) was 6.69 million in FY2024.
- Quarterly Shares Outstanding (Diluted) has run from a low of 6.69 million in Q4 2024 to a high of 85.12 million in Q4 2025 over five years.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 19.59 million (Q1 2026), 85.12 million (Q4 2025) and 7.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 2.42 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 801.80 Mn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 364.80 Mn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 1.92 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 333.30 Mn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 238.20 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 122.13 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 59.73 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 211.90 Mn |
| 10 | Functional Brands | 426,716.59 | 426,716.59 | 1.12 Mn | 42.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.67 Mn |
| Mar 31, 2026 | 19.59 Mn |
| Dec 31, 2025 | 85.12 Mn |
| Sep 30, 2025 | 7.20 Mn |
| Jun 30, 2025 | 6.95 Mn |
| Mar 31, 2025 | 6.92 Mn |
| Dec 31, 2024 | 6.69 Mn |
Functional Brands 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=MEHA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MEHA", "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=MEHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();