electroCore (ECOR) EBITDA Margin (2017 - 2026)
electroCore's EBITDA Margin came in at -29.27% for Q2 2026, up 16.59 percentage points from -45.86% a year earlier and up 25.98 percentage points from the prior quarter.
electroCore (ECOR) EBITDA Margin (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, electroCore reported EBITDA Margin of -36.96%, up 7.89 percentage points year-over-year; for FY2025, it was -39.50%, up 5.78 percentage points from FY2024.
- EBITDA Margin has increased in each of the last seven years, with a five-year change of +657.02 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was -45.28% in FY2024 (+68.93 pp), -114.20% in FY2023 (+145.64 pp), -259.85% in FY2022 (+100.84 pp) and -360.69% in FY2021 (+335.84 pp).
- The Q2 2026 figure represents the highest quarterly EBITDA Margin in data going back to Q2 2017.
- Year-over-year, EBITDA Margin increased in six of the last eight quarters, with an average year-over-year change of +14.47 percentage points.
- The fastest year-over-year change in EBITDA Margin over five years came in Q4 2021 (a gain of 308.64 percentage points), and the weakest in Q3 2022 (a drop of 11.90 percentage points).
- Business Quant data shows ECOR's EBITDA Margin at -55.25% (Q1 2026), -30.66% (Q4 2025) and -31.83% (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 | electroCore | 97.94 Mn | 54.42 Mn | 8.18 Mn | -29.27% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -29.27% |
| Mar 31, 2026 | -55.25% |
| Dec 31, 2025 | -30.66% |
| Sep 30, 2025 | -31.83% |
| Jun 30, 2025 | -45.86% |
| Mar 31, 2025 | -54.58% |
| Dec 31, 2024 | -41.20% |
| Sep 30, 2024 | -37.63% |
| Jun 30, 2024 | -38.93% |
| Mar 31, 2024 | -66.93% |
| Dec 31, 2023 | -71.87% |
| Sep 30, 2023 | -85.07% |
| Jun 30, 2023 | -131.40% |
| Mar 31, 2023 | -218.53% |
| Dec 31, 2022 | -225.35% |
| Sep 30, 2022 | -273.43% |
| Jun 30, 2022 | -263.28% |
| Mar 31, 2022 | -288.31% |
| Dec 31, 2021 | -360.63% |
| Sep 30, 2021 | -261.53% |
electroCore 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=ECOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "ECOR", "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=ECOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();