Medifast (MED) Shares Outstanding (2009 - 2026)
Medifast (MED) recorded Weighted Average Shares Outstanding of 11.18 million in Q3 2026, up 1.7% from 10.99 million a year earlier and up 0.4% from the prior quarter.
Medifast (MED) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Medifast reported Weighted Average Shares Outstanding of 10.98 million, up 0.5% from FY2024.
- Annual Weighted Average Shares Outstanding has a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 10.93 million in FY2024 (+0.4%), 10.88 million in FY2023 (-2.8%), 11.2 million in FY2022 (-4.4%) and 11.71 million in FY2021 (-0.6%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding since Q4 2022.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 11 consecutive quarters, with growth averaging 0.7% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 1.7% in Q3 2026, against a decline of 6.2% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 11.14 million (Q2 2026), 11.01 million (Q1 2026) and 10.98 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 2.32 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 796.90 Mn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 363.30 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.92 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 332.60 Mn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 237.10 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 121.62 Mn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 59.03 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 210.80 Mn |
| 10 | Medifast | 144.93 Mn | -533.64 Mn | 50.04 Mn | 11.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.18 Mn |
| Jun 30, 2026 | 11.14 Mn |
| Mar 31, 2026 | 11.01 Mn |
| Dec 31, 2025 | 10.98 Mn |
| Sep 30, 2025 | 10.99 Mn |
| Jun 30, 2025 | 10.99 Mn |
| Mar 31, 2025 | 10.95 Mn |
| Dec 31, 2024 | 10.93 Mn |
| Sep 30, 2024 | 10.94 Mn |
| Jun 30, 2024 | 10.94 Mn |
| Mar 31, 2024 | 10.91 Mn |
| Dec 31, 2023 | 10.88 Mn |
| Sep 30, 2023 | 10.89 Mn |
| Jun 30, 2023 | 10.89 Mn |
| Mar 31, 2023 | 10.86 Mn |
| Dec 31, 2022 | 11.20 Mn |
| Sep 30, 2022 | 10.96 Mn |
| Jun 30, 2022 | 11.35 Mn |
| Mar 31, 2022 | 11.56 Mn |
| Dec 31, 2021 | 11.71 Mn |
Medifast Shares Outstanding 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&ticker=MED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "MED", "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&ticker=MED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();