LifeMD (LFMD) Total Non-Current Liabilities (2019 - 2025)
LifeMD's Total Non-Current Liabilities was $62.52 million in Q3 2025, down 19.4% from $77.56 million a year earlier and down 19.5% from the prior quarter.
LifeMD (LFMD) Total Non-Current Liabilities (2019 - 2025) Analysis & Trends
At the end of FY2024, Total Non-Current Liabilities at LifeMD came in at $85.08 million, up 57.1% from FY2023.
- Total Non-Current Liabilities has now increased for four consecutive years, with a four-year compound annual growth rate of 47.9% (FY2020 to FY2024).
- In earlier years, Total Non-Current Liabilities was $54.16 million in FY2023 (+46.0%), $37.09 million in FY2022 (+31.9%), $28.11 million in FY2021 (+58.1%) and $17.78 million in FY2020.
- The Q3 2025 figure marks the lowest quarterly Total Non-Current Liabilities since Q1 2024.
- Compared with a year earlier, Total Non-Current Liabilities was higher in seven of the last eight quarters, with growth averaging 30.8%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2023 (growth of 481.2%); the worst was Q3 2025 (a decline of 19.4%).
- Per Business Quant data, LFMD's Total Non-Current Liabilities in the three quarters before Q3 2025 was $77.7 million (Q2 2025), $78.98 million (Q1 2025) and $85.08 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - | - |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn | 715.49 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn | 8.06 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn | 9.21 Bn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn | 2.01 Bn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - | 22.34 Bn |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn | 1.86 Bn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - | 3.84 Bn |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn | 18.38 Bn |
| 10 | LifeMD | 140.11 Mn | 140.11 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 62.52 Mn |
| Jun 30, 2025 | 77.70 Mn |
| Mar 31, 2025 | 78.98 Mn |
| Dec 31, 2024 | 85.08 Mn |
| Sep 30, 2024 | 77.56 Mn |
| Jun 30, 2024 | 65.61 Mn |
| Mar 31, 2024 | 58.96 Mn |
| Dec 31, 2023 | 54.16 Mn |
| Sep 30, 2023 | 51.52 Mn |
| Jun 30, 2023 | 50.37 Mn |
| Mar 31, 2023 | 45.53 Mn |
| Dec 31, 2022 | 37.09 Mn |
| Sep 30, 2022 | 31.61 Mn |
| Jun 30, 2022 | 32.56 Mn |
| Mar 31, 2022 | 7.83 Mn |
| Dec 31, 2021 | 28.11 Mn |
| Dec 31, 2020 | 17.78 Mn |
| Sep 30, 2020 | 13.18 Mn |
| Jun 30, 2020 | 7.36 Mn |
| Mar 31, 2020 | 4.84 Mn |
LifeMD Total Non-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-non-current-liabilities&ticker=LFMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "LFMD", "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-non-current-liabilities&ticker=LFMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();