Medifast (MED) Operating Expenses (2010 - 2026)
Medifast's Operating Expenses came in at $57.72 million for Q2 2026, down 25.7% from $77.71 million a year earlier but up 4.9% from the prior quarter.
Medifast (MED) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Medifast reported Operating Expenses of $238.96 million, down 32.6% year-over-year; for FY2025, it was $289.4 million, down 34.5% from FY2024.
- Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -12.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $441.75 million in FY2024 (-32.0%), $649.45 million in FY2023 (-32.0%), $955.61 million in FY2022 (+4.9%) and $911.36 million in FY2021 (+61.7%).
- The five-year range for quarterly Operating Expenses is $55.05 million (Q1 2026) to $272.72 million (Q2 2022).
- Year-over-year, Operating Expenses has declined for 16 consecutive quarters, with an average decline of 33.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 57.9%), and the weakest in Q2 2025 (a decline of 40.8%).
- Business Quant data shows MED's Operating Expenses at $55.05 million (Q1 2026), $59.94 million (Q4 2025) and $66.24 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 1.60 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 2.78 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Medifast | 129.81 Mn | -549.74 Mn | 53.40 Mn | 57.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.72 Mn |
| Mar 31, 2026 | 55.05 Mn |
| Dec 31, 2025 | 59.94 Mn |
| Sep 30, 2025 | 66.24 Mn |
| Jun 30, 2025 | 77.71 Mn |
| Mar 31, 2025 | 85.51 Mn |
| Dec 31, 2024 | 87.51 Mn |
| Sep 30, 2024 | 103.57 Mn |
| Jun 30, 2024 | 131.31 Mn |
| Mar 31, 2024 | 119.35 Mn |
| Dec 31, 2023 | 132.69 Mn |
| Sep 30, 2023 | 151.87 Mn |
| Jun 30, 2023 | 172.01 Mn |
| Mar 31, 2023 | 192.88 Mn |
| Dec 31, 2022 | 201.00 Mn |
| Sep 30, 2022 | 234.69 Mn |
| Jun 30, 2022 | 272.72 Mn |
| Mar 31, 2022 | 247.20 Mn |
| Dec 31, 2021 | 231.45 Mn |
| Sep 30, 2021 | 251.89 Mn |
Medifast 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=MED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();