ClearPoint Neuro (CLPT) EBITDA Margin (2011 - 2026)
ClearPoint Neuro (CLPT) posted EBITDA Margin of -39.36% for Q3 2026, up 16.11 percentage points from -55.47% a year earlier and up 43.06 percentage points from the prior quarter.
ClearPoint Neuro (CLPT) EBITDA Margin (2011 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA Margin at ClearPoint Neuro was -60.56%, up 2.46 percentage points year-over-year; for FY2025, it was -61.29%, down 1.70 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of -22.34 percentage points (FY2020 to FY2025).
- In prior years, ClearPoint Neuro's EBITDA Margin was -59.58% in FY2024 (+30.41 pp), -89.99% in FY2023 (-13.38 pp), -76.61% in FY2022 (+1.56 pp) and -78.17% in FY2021 (-39.23 pp).
- The Q3 2026 figure stands as the highest quarterly EBITDA Margin since Q3 2020.
- On a year-over-year basis, EBITDA Margin increased in four of the last eight quarters, with an average year-over-year change of -1.30 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q2 2024, with a gain of 59.56 percentage points; the weakest was Q2 2023, with a drop of 38.54 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was -82.43% (Q2 2026), -61.09% (Q1 2026) and -61.67% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 267.71 Bn | 244.23 Bn | 5.13 Bn | 25.44% |
| 2 | Abbott Laboratories | 191.69 Bn | 165.56 Bn | 7.39 Bn | 20.09% |
| 3 | Danaher | 166.18 Bn | 145.83 Bn | 3.84 Bn | 30.00% |
| 4 | Intuitive Surgical | 161.07 Bn | 141.36 Bn | 2.08 Bn | 25.90% |
| 5 | Medtronic | 131.65 Bn | 96.90 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 125.25 Bn | 111.44 Bn | 4.25 Bn | 20.38% |
| 7 | Boston Scientific | 63.85 Bn | 59.29 Bn | 3.43 Bn | 23.14% |
| 8 | Edwards Lifesciences | 60.52 Bn | 43.72 Bn | 1.35 Bn | 20.05% |
| 9 | Becton Dickinson | 59.08 Bn | 56.23 Bn | 2.32 Bn | 24.62% |
| 10 | ClearPoint Neuro | 284.74 Mn | 127.61 Mn | 7.06 Mn | -39.36% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -39.36% |
| Jun 30, 2026 | -82.43% |
| Mar 31, 2026 | -61.09% |
| Dec 31, 2025 | -61.67% |
| Sep 30, 2025 | -55.47% |
| Jun 30, 2025 | -58.50% |
| Mar 31, 2025 | -69.91% |
| Dec 31, 2024 | -69.44% |
| Sep 30, 2024 | -59.99% |
| Jun 30, 2024 | -56.97% |
| Mar 31, 2024 | -51.81% |
| Dec 31, 2023 | -65.35% |
| Sep 30, 2023 | -80.15% |
| Jun 30, 2023 | -116.54% |
| Mar 31, 2023 | -102.26% |
| Dec 31, 2022 | -83.53% |
| Sep 30, 2022 | -70.89% |
| Jun 30, 2022 | -78.00% |
| Mar 31, 2022 | -73.90% |
| Dec 31, 2021 | -89.26% |
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();