electroCore (ECOR) Return on Assets [ROA] (2018 - 2026)
electroCore (ECOR) reported Return on Assets [ROA] of -90.76% for Q2 2026, down 4.16 percentage points from -86.61% a year earlier and down 0.68 percentage points from the prior quarter.
electroCore (ECOR) Return on Assets [ROA] (2018 - 2026) Analysis & Trends
For FY2025, electroCore posted Return on Assets [ROA] of -71.37%, down 6.37 percentage points from FY2024.
- Return on Assets [ROA] has a five-year change of -1.16 percentage points (FY2020 to FY2025).
- By year, Return on Assets [ROA] came in at -65.00% in FY2024 (+27.19 pp), -92.19% in FY2023 (-26.61 pp), -65.58% in FY2022 (-19.26 pp) and -46.32% in FY2021 (+23.89 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Assets [ROA] since Q1 2024.
- Year over year, Return on Assets [ROA] has now declined in each of the last five quarters, with an average year-over-year change of +10.38 percentage points over the last eight quarters.
- The high point for year-over-year Return on Assets [ROA] in five years was Q3 2024 (a gain of 61.49 percentage points); the low point was Q2 2023 (a drop of 79.16 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -90.09% (Q1 2026), -69.69% (Q4 2025) and -78.72% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.31 Bn | 230.34 Bn | 4.88 Bn | 6.17% |
| 2 | Abbott Laboratories | 178.67 Bn | 149.10 Bn | 7.27 Bn | 4.94% |
| 3 | Danaher | 162.12 Bn | 145.93 Bn | 3.61 Bn | 4.54% |
| 4 | Intuitive Surgical | 153.75 Bn | 134.04 Bn | 2.08 Bn | 14.78% |
| 5 | Medtronic | 122.54 Bn | 87.79 Bn | 6.34 Bn | 5.66% |
| 6 | Stryker | 117.31 Bn | 103.43 Bn | 4.50 Bn | -1.94% |
| 7 | Boston Scientific | 67.29 Bn | 62.06 Bn | 3.85 Bn | 8.19% |
| 8 | Becton Dickinson | 54.47 Bn | 51.61 Bn | 2.32 Bn | 1.85% |
| 9 | Edwards Lifesciences | 51.39 Bn | 35.39 Bn | 1.35 Bn | 7.38% |
| 10 | electroCore | 69.12 Mn | 25.61 Mn | 8.18 Mn | -90.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -90.76% |
| Mar 31, 2026 | -90.09% |
| Dec 31, 2025 | -69.69% |
| Sep 30, 2025 | -78.72% |
| Jun 30, 2025 | -86.61% |
| Mar 31, 2025 | -67.02% |
| Dec 31, 2024 | -57.26% |
| Sep 30, 2024 | -58.48% |
| Jun 30, 2024 | -78.49% |
| Mar 31, 2024 | -109.85% |
| Dec 31, 2023 | -104.03% |
| Sep 30, 2023 | -119.97% |
| Jun 30, 2023 | -135.37% |
| Mar 31, 2023 | -104.27% |
| Dec 31, 2022 | -81.71% |
| Sep 30, 2022 | -67.71% |
| Jun 30, 2022 | -56.21% |
| Mar 31, 2022 | -43.53% |
| Dec 31, 2021 | -38.09% |
| Sep 30, 2021 | -47.15% |
electroCore Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=ECOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=ECOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();