electroCore (ECOR) Return on Sales [ROS] (2017 - 2026)
electroCore (ECOR) reported Return on Sales [ROS] of -29.33% for Q2 2026, up 18.17 percentage points from -47.50% a year earlier and up 26.13 percentage points from the prior quarter.
electroCore (ECOR) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, electroCore's Return on Sales [ROS] came in at -37.64%, up 9.47 percentage points year-over-year; for FY2025, it was -41.06%, up 7.23 percentage points from FY2024.
- Return on Sales [ROS] has increased for seven consecutive years, with a five-year change of +666.88 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -48.30% in FY2024 (+71.91 pp), -120.21% in FY2023 (+146.02 pp), -266.22% in FY2022 (+101.47 pp) and -367.69% in FY2021 (+340.25 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to Q2 2017.
- Year over year, Return on Sales [ROS] has now increased in each of the last four quarters, with an average year-over-year change of +16.36 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2021 (a gain of 314.19 percentage points); the low point was Q3 2022 (a drop of 13.18 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -55.47% (Q1 2026), -31.82% (Q4 2025) and -33.19% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | electroCore | 91.28 Mn | 47.76 Mn | 8.18 Mn | -29.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -29.33% |
| Mar 31, 2026 | -55.47% |
| Dec 31, 2025 | -31.82% |
| Sep 30, 2025 | -33.19% |
| Jun 30, 2025 | -47.50% |
| Mar 31, 2025 | -56.88% |
| Dec 31, 2024 | -43.59% |
| Sep 30, 2024 | -40.45% |
| Jun 30, 2024 | -42.21% |
| Mar 31, 2024 | -70.71% |
| Dec 31, 2023 | -76.25% |
| Sep 30, 2023 | -91.53% |
| Jun 30, 2023 | -140.47% |
| Mar 31, 2023 | -222.91% |
| Dec 31, 2022 | -231.13% |
| Sep 30, 2022 | -281.17% |
| Jun 30, 2022 | -269.82% |
| Mar 31, 2022 | -293.89% |
| Dec 31, 2021 | -367.00% |
| Sep 30, 2021 | -267.99% |
electroCore Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=ECOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=ECOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();