Vsee Health (VSEE) EBITDA (2023 - 2026)
Vsee Health (VSEE) posted EBITDA of -$2.06 million for Q2 2026, compared with -$913,357 a year earlier.
Analysis
Vsee Health (VSEE) EBITDA (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Vsee Health was -$8.58 million; for FY2025, it was -$7 million.
- In prior years, Vsee Health's EBITDA was -$60.83 million in FY2024 and -$1.87 million in FY2023.
- Quarterly EBITDA has run from a low of -$57.65 million in Q3 2024 to a high of $104,678 in Q1 2024 over five years.
- According to Business Quant data, EBITDA for the three prior quarters was -$2.33 million (Q1 2026), -$2.79 million (Q4 2025) and -$1.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 188.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 190.70 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 38.19 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 67.86 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 191.00 Mn |
| 10 | Vsee Health | 126.95 Mn | 119.63 Mn | 206,153.00 | -2.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.06 Mn |
| Mar 31, 2026 | -2.33 Mn |
| Dec 31, 2025 | -2.79 Mn |
| Sep 30, 2025 | -1.41 Mn |
| Jun 30, 2025 | -913,357.00 |
| Mar 31, 2025 | -1.18 Mn |
| Dec 31, 2024 | -2.36 Mn |
| Sep 30, 2024 | -57.65 Mn |
| Mar 31, 2024 | 104,678.00 |
| Dec 31, 2023 | -114,548.00 |
| Sep 30, 2023 | -352,875.00 |
| Jun 30, 2023 | -689,680.00 |
API Access
Vsee Health EBITDA 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=ebitda&ticker=VSEE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "VSEE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=VSEE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();