Medifast (MED) Total Current Liabilities (2010 - 2026)
Medifast (MED) recorded Total Current Liabilities of $41.56 million in Q2 2026, down 10.0% from $46.18 million a year earlier and down 1.5% from the prior quarter.
Medifast (MED) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Medifast reported Total Current Liabilities of $42.96 million, down 33.0% from FY2024.
- Annual Total Current Liabilities has declined for four straight years, with a five-year compound annual growth rate of -17.3% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $64.16 million in FY2024 (-30.5%), $92.3 million in FY2023 (-34.5%), $140.89 million in FY2022 (-17.0%) and $169.83 million in FY2021 (+52.5%).
- The Q2 2026 figure is the lowest quarterly Total Current Liabilities since Q1 2018.
- On a year-over-year basis, Total Current Liabilities has declined for 16 consecutive quarters, with an average decline of 29.2% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 52.5% in Q4 2021, against a decline of 41.4% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $42.18 million (Q1 2026), $42.96 million (Q4 2025) and $46.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 38.69 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 6.15 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 5.87 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 6.23 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 6.99 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 1.33 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 2.77 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 337.66 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 660.00 Mn |
| 10 | Medifast | 129.81 Mn | -549.74 Mn | 53.40 Mn | 41.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.56 Mn |
| Mar 31, 2026 | 42.18 Mn |
| Dec 31, 2025 | 42.96 Mn |
| Sep 30, 2025 | 46.71 Mn |
| Jun 30, 2025 | 46.18 Mn |
| Mar 31, 2025 | 60.60 Mn |
| Dec 31, 2024 | 64.16 Mn |
| Sep 30, 2024 | 72.38 Mn |
| Jun 30, 2024 | 75.18 Mn |
| Mar 31, 2024 | 77.19 Mn |
| Dec 31, 2023 | 92.30 Mn |
| Sep 30, 2023 | 110.11 Mn |
| Jun 30, 2023 | 114.90 Mn |
| Mar 31, 2023 | 131.74 Mn |
| Dec 31, 2022 | 140.89 Mn |
| Sep 30, 2022 | 154.26 Mn |
| Jun 30, 2022 | 188.16 Mn |
| Mar 31, 2022 | 181.03 Mn |
| Dec 31, 2021 | 169.83 Mn |
| Sep 30, 2021 | 160.91 Mn |
Medifast Total Current 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-current-liabilities&ticker=MED&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=MED&period=max&api_key=YOUR_API_KEY");
const data = await res.json();