Medifast (MED) Property, Plant & Equipment (Net) (2010 - 2026)
Medifast (MED) reported Property, Plant & Equipment (Net) of $27.98 million for Q2 2026, down 19.1% from $34.6 million a year earlier and down 5.6% from the prior quarter.
Medifast (MED) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Medifast posted Property, Plant & Equipment (Net) of $31.23 million, down 16.8% from FY2024.
- Property, Plant & Equipment (Net) has declined for three consecutive years, though with a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $37.53 million in FY2024 (-27.1%), $51.47 million in FY2023 (-10.0%), $57.19 million in FY2022 (+1.9%) and $56.13 million in FY2021 (+103.1%).
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q4 2020.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last 14 quarters, with an average decline of 20.8% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2021 (growth of 103.1%); the low point was Q1 2025 (a decline of 28.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $29.64 million (Q1 2026), $31.23 million (Q4 2025) and $32.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 25.36 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 4.64 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 2.81 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 2.23 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 6.95 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 826.50 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 1.51 Bn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 39.69 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 855.00 Mn |
| 10 | Medifast | 131.38 Mn | -548.18 Mn | 53.40 Mn | 27.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.98 Mn |
| Mar 31, 2026 | 29.64 Mn |
| Dec 31, 2025 | 31.23 Mn |
| Sep 30, 2025 | 32.85 Mn |
| Jun 30, 2025 | 34.60 Mn |
| Mar 31, 2025 | 36.31 Mn |
| Dec 31, 2024 | 37.53 Mn |
| Sep 30, 2024 | 39.00 Mn |
| Jun 30, 2024 | 39.92 Mn |
| Mar 31, 2024 | 50.99 Mn |
| Dec 31, 2023 | 51.47 Mn |
| Sep 30, 2023 | 53.48 Mn |
| Jun 30, 2023 | 54.41 Mn |
| Mar 31, 2023 | 55.96 Mn |
| Dec 31, 2022 | 57.19 Mn |
| Sep 30, 2022 | 58.11 Mn |
| Jun 30, 2022 | 58.54 Mn |
| Mar 31, 2022 | 57.80 Mn |
| Dec 31, 2021 | 56.13 Mn |
| Sep 30, 2021 | 46.45 Mn |
Medifast Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();