Catheter Precision (VTAK) EBITDA Margin (2017 - 2026)
Catheter Precision's EBITDA Margin came in at -350.64% for Q2 2026, up 1630.97 percentage points from -1981.60% a year earlier and up 92.19 percentage points from the prior quarter.
Catheter Precision (VTAK) EBITDA Margin (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Catheter Precision reported EBITDA Margin of -901.78%, up 1113.89 percentage points year-over-year; for FY2025, it came in at -2323.32%, down 148.56 percentage points from FY2024.
- EBITDA Margin carries a five-year change of +10431.89 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was -2174.76% in FY2024 (+15029.76 pp), -17204.52% in FY2023 (+172366.90 pp), -189571.43% in FY2022 (-63657.79 pp) and -125913.64% in FY2021 (-113158.42 pp).
- The Q2 2026 figure represents the highest quarterly EBITDA Margin since Q3 2018.
- Year-over-year, EBITDA Margin increased in five of the last eight quarters, with an average year-over-year change of +299.66 percentage points.
- The fastest year-over-year change in EBITDA Margin over five years came in Q2 2023 (a gain of 159486.25 percentage points), and the weakest in Q2 2022 (a drop of 165801.79 percentage points).
- Business Quant data shows VTAK's EBITDA Margin at -442.82% (Q1 2026), -3921.85% (Q4 2025) and -1083.63% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 28.17% |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 31.93% |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 24.62% |
| 10 | Catheter Precision | 387,441.60 | -4.48 Mn | 98,000.00 | -350.64% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -350.64% |
| Mar 31, 2026 | -442.82% |
| Dec 31, 2025 | -3,921.85% |
| Sep 30, 2025 | -1,083.63% |
| Jun 30, 2025 | -1,981.60% |
| Mar 31, 2025 | -2,128.67% |
| Dec 31, 2024 | -1,691.28% |
| Sep 30, 2024 | -2,426.04% |
| Jun 30, 2024 | -2,355.91% |
| Mar 31, 2024 | -2,553.66% |
| Dec 31, 2023 | -1,625.00% |
| Sep 30, 2023 | -1,661.65% |
| Jun 30, 2023 | -6,993.75% |
| Mar 31, 2023 | -76,517.65% |
| Jun 30, 2022 | -166,480.00% |
| Mar 31, 2022 | -59,077.78% |
| Dec 31, 2021 | -158,980.00% |
| Sep 30, 2021 | -140,500.00% |
| Jun 30, 2021 | -678.21% |
| Mar 31, 2021 | -160,375.00% |
Catheter Precision EBITDA Margin 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-margin&ticker=VTAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "VTAK", "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-margin&ticker=VTAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();