Medifast (MED) Total Liabilities (2010 - 2026)
Medifast (MED) reported Total Liabilities of $64.02 million for Q2 2026, up 20.1% from $53.33 million a year earlier and up 17.8% from the prior quarter.
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Analysis
Medifast (MED) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Medifast posted Total Liabilities of $49.05 million, down 33.8% from FY2024.
- Total Liabilities has declined for four consecutive years, with a five-year compound annual growth rate of -16.2% (FY2020 to FY2025).
- By year, Total Liabilities came in at $74.1 million in FY2024 (-31.7%), $108.43 million in FY2023 (-32.7%), $161.17 million in FY2022 (-17.7%) and $195.85 million in FY2021 (+64.8%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q1 2025.
- Year over year, Total Liabilities gained in 1 of the last eight quarters, with an average decline of 25.1%.
- The high point for year-over-year Total Liabilities in five years was Q4 2021 (growth of 64.8%); the low point was Q2 2025 (a decline of 39.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $54.37 million (Q1 2026), $49.05 million (Q4 2025) and $53.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 72.21 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 16.22 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 16.18 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 15.96 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 16.68 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 4.76 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 7.54 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 1.29 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.77 Bn |
| 10 | Medifast | 129.81 Mn | -549.74 Mn | 53.40 Mn | 64.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.02 Mn |
| Mar 31, 2026 | 54.37 Mn |
| Dec 31, 2025 | 49.05 Mn |
| Sep 30, 2025 | 53.50 Mn |
| Jun 30, 2025 | 53.33 Mn |
| Mar 31, 2025 | 69.05 Mn |
| Dec 31, 2024 | 74.10 Mn |
| Sep 30, 2024 | 83.90 Mn |
| Jun 30, 2024 | 88.25 Mn |
| Mar 31, 2024 | 91.80 Mn |
| Dec 31, 2023 | 108.43 Mn |
| Sep 30, 2023 | 126.98 Mn |
| Jun 30, 2023 | 133.16 Mn |
| Mar 31, 2023 | 150.71 Mn |
| Dec 31, 2022 | 161.17 Mn |
| Sep 30, 2022 | 175.83 Mn |
| Jun 30, 2022 | 211.07 Mn |
| Mar 31, 2022 | 205.41 Mn |
| Dec 31, 2021 | 195.85 Mn |
| Sep 30, 2021 | 175.13 Mn |
API Access
Medifast Total Liabilities 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=total-liabilities&ticker=MED&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();