ClearPoint Neuro (CLPT) EBITDA Margin (2011 - 2026)
ClearPoint Neuro (CLPT) posted EBITDA Margin of -82.90% for Q2 2026, down 24.17 percentage points from -58.73% a year earlier and down 21.47 percentage points from the prior quarter.
ClearPoint Neuro (CLPT) EBITDA Margin (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at ClearPoint Neuro was -66.31%, down 1.91 percentage points year-over-year; for FY2025, it was -61.51%, down 1.77 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of -15.63 percentage points (FY2020 to FY2025).
- In prior years, ClearPoint Neuro's EBITDA Margin was -59.75% in FY2024 (+30.49 pp), -90.23% in FY2023 (-13.35 pp), -76.88% in FY2022 (+1.91 pp) and -78.78% in FY2021 (-32.90 pp).
- The Q2 2026 figure stands as the lowest quarterly EBITDA Margin since Q2 2023.
- On a year-over-year basis, EBITDA Margin increased in four of the last eight quarters, with an average year-over-year change of -1.08 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q2 2024, with a gain of 59.62 percentage points; the weakest was Q3 2021, with a drop of 45.65 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -61.44% (Q1 2026), -63.51% (Q4 2025) and -55.91% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 31.93% |
| 10 | ClearPoint Neuro | 467.00 Mn | 317.86 Mn | 6.71 Mn | -82.90% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -82.90% |
| Mar 31, 2026 | -61.44% |
| Dec 31, 2025 | -63.51% |
| Sep 30, 2025 | -55.91% |
| Jun 30, 2025 | -58.73% |
| Mar 31, 2025 | -69.91% |
| Dec 31, 2024 | -69.44% |
| Sep 30, 2024 | -60.26% |
| Jun 30, 2024 | -57.15% |
| Mar 31, 2024 | -52.01% |
| Dec 31, 2023 | -65.57% |
| Sep 30, 2023 | -80.39% |
| Jun 30, 2023 | -116.77% |
| Mar 31, 2023 | -102.52% |
| Dec 31, 2022 | -83.80% |
| Sep 30, 2022 | -71.16% |
| Jun 30, 2022 | -78.27% |
| Mar 31, 2022 | -74.16% |
| Dec 31, 2021 | -89.89% |
| Sep 30, 2021 | -80.26% |
ClearPoint Neuro 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=CLPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "CLPT", "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=CLPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();