Viemed Healthcare (VMD) Total Non-Current Liabilities (2018 - 2026)
Viemed Healthcare (VMD) posted Total Non-Current Liabilities of $10.37 million for Q2 2026, up 81.6% from $5.71 million a year earlier but down 4.5% from the prior quarter.
Viemed Healthcare (VMD) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Viemed Healthcare's Total Non-Current Liabilities came in at $14.58 million, up 126.3% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- In prior years, Viemed Healthcare's Total Non-Current Liabilities was $6.44 million in FY2024 (-27.4%), $8.88 million in FY2023 (+715.8%), $1.09 million in FY2022 (-79.6%) and $5.33 million in FY2021 (-32.1%).
- Quarterly Total Non-Current Liabilities has run from a low of $1.09 million in Q4 2022 to a high of $22.68 million in Q3 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last four quarters, with growth averaging 52.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2023, with growth of 715.8%; the weakest was Q4 2022, with a decline of 79.6%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $10.86 million (Q1 2026), $14.58 million (Q4 2025) and $22.68 million (Q3 2025).
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 | Viemed Healthcare | 346.98 Mn | 303.85 Mn | 45.05 Mn | 10.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.37 Mn |
| Mar 31, 2026 | 10.86 Mn |
| Dec 31, 2025 | 14.58 Mn |
| Sep 30, 2025 | 22.68 Mn |
| Jun 30, 2025 | 5.71 Mn |
| Mar 31, 2025 | 5.84 Mn |
| Dec 31, 2024 | 6.44 Mn |
| Sep 30, 2024 | 6.29 Mn |
| Jun 30, 2024 | 11.29 Mn |
| Mar 31, 2024 | 8.49 Mn |
| Dec 31, 2023 | 8.88 Mn |
| Sep 30, 2023 | 9.03 Mn |
| Jun 30, 2023 | 13.04 Mn |
| Mar 31, 2023 | 1.17 Mn |
| Dec 31, 2022 | 1.09 Mn |
| Sep 30, 2022 | 4.95 Mn |
| Jun 30, 2022 | 4.82 Mn |
| Mar 31, 2022 | 5.23 Mn |
| Dec 31, 2021 | 5.33 Mn |
| Sep 30, 2021 | 5.91 Mn |
Viemed Healthcare 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=VMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "VMD", "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=VMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();