Viemed Healthcare (VMD) Accumulated Expenses (2018 - 2026)
Viemed Healthcare's Accumulated Expenses was $24.82 million in Q3 2026, down 0.8% from $25.01 million a year earlier and down 0.5% from the prior quarter.
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Analysis
Viemed Healthcare (VMD) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Viemed Healthcare came in at $23.91 million, up 18.6% from FY2024.
- Accumulated Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $20.16 million in FY2024 (+14.7%), $17.58 million in FY2023 (+58.5%), $11.09 million in FY2022 (+25.0%) and $8.88 million in FY2021 (-29.5%).
- Quarterly Accumulated Expenses has moved between $8.74 million (Q1 2022) and $25.01 million (Q3 2025) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in seven of the last eight quarters, with growth averaging 18.8%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2023 (growth of 75.0%); the worst was Q4 2021 (a decline of 29.5%).
- Per Business Quant data, VMD's Accumulated Expenses in the three quarters before Q3 2026 was $24.94 million (Q2 2026), $21.54 million (Q1 2026) and $23.91 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | HCA Healthcare | 106.37 Bn | 104.21 Bn | 17.03 Bn |
| 2 | Natera | 45.03 Bn | 40.66 Bn | 513.47 Mn |
| 3 | Labcorp Holdings | 30.12 Bn | 28.22 Bn | 1.11 Bn |
| 4 | Quest Diagnostics | 28.44 Bn | 26.52 Bn | 1.04 Bn |
| 5 | Guardant Health | 20.93 Bn | 16.54 Bn | 236.15 Mn |
| 6 | BrightSpring Health Services | 14.41 Bn | 11.29 Bn | 518.55 Mn |
| 7 | Tempus AI | 14.27 Bn | 11.42 Bn | 266.70 Mn |
| 8 | Encompass Health | 13.98 Bn | 14.44 Bn | 1.54 Bn |
| 9 | Davita | 11.35 Bn | 10.22 Bn | 1.13 Bn |
| 10 | Viemed Healthcare | 341.72 Mn | 300.00 Mn | 46.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.82 Mn |
| Jun 30, 2026 | 24.94 Mn |
| Mar 31, 2026 | 21.54 Mn |
| Dec 31, 2025 | 23.91 Mn |
| Sep 30, 2025 | 25.01 Mn |
| Jun 30, 2025 | 18.64 Mn |
| Mar 31, 2025 | 17.54 Mn |
| Dec 31, 2024 | 20.16 Mn |
| Sep 30, 2024 | 19.92 Mn |
| Jun 30, 2024 | 16.80 Mn |
| Mar 31, 2024 | 14.06 Mn |
| Dec 31, 2023 | 17.58 Mn |
| Sep 30, 2023 | 16.72 Mn |
| Jun 30, 2023 | 15.51 Mn |
| Mar 31, 2023 | 12.82 Mn |
| Dec 31, 2022 | 11.09 Mn |
| Sep 30, 2022 | 11.79 Mn |
| Jun 30, 2022 | 8.86 Mn |
| Mar 31, 2022 | 8.74 Mn |
| Dec 31, 2021 | 8.88 Mn |
API Access
Viemed Healthcare Accumulated Expenses 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=accumulated-expenses&ticker=VMD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=VMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();