electroCore (ECOR) Research & Development (2017 - 2026)
electroCore (ECOR) posted Research & Development of $818,000 for Q2 2026, up 60.1% from $511,000 a year earlier and up 10.5% from the prior quarter.
electroCore (ECOR) Research & Development (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at electroCore was $3.14 million, up 26.7% year-over-year; for FY2025, it was $2.74 million, up 15.9% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of -8.2% (FY2020 to FY2025).
- In prior years, electroCore's Research & Development was $2.36 million in FY2024 (-55.6%), $5.32 million in FY2023 (-3.6%), $5.52 million in FY2022 (+117.7%) and $2.54 million in FY2021 (-39.6%).
- Quarterly Research & Development has run from a low of $399,000 in Q1 2024 to a high of $1.81 million in Q1 2023 over five years.
- On a year-over-year basis, Research & Development has increased in each of the last four quarters, with growth averaging 9.1% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q3 2022, with growth of 244.0%; the weakest was Q1 2024, with a decline of 77.9%.
- According to Business Quant data, Research & Development for the three prior quarters was $740,000 (Q1 2026), $920,000 (Q4 2025) and $662,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 278.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 258.00 Mn |
| 10 | electroCore | 97.94 Mn | 54.42 Mn | 8.18 Mn | 818,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 818,000.00 |
| Mar 31, 2026 | 740,000.00 |
| Dec 31, 2025 | 920,000.00 |
| Sep 30, 2025 | 662,000.00 |
| Jun 30, 2025 | 511,000.00 |
| Mar 31, 2025 | 642,000.00 |
| Dec 31, 2024 | 805,000.00 |
| Sep 30, 2024 | 521,000.00 |
| Jun 30, 2024 | 635,000.00 |
| Mar 31, 2024 | 399,000.00 |
| Dec 31, 2023 | 1.11 Mn |
| Sep 30, 2023 | 1.25 Mn |
| Jun 30, 2023 | 1.16 Mn |
| Mar 31, 2023 | 1.81 Mn |
| Dec 31, 2022 | 1.63 Mn |
| Sep 30, 2022 | 1.62 Mn |
| Jun 30, 2022 | 1.34 Mn |
| Mar 31, 2022 | 934,000.00 |
| Dec 31, 2021 | 742,000.00 |
| Sep 30, 2021 | 470,000.00 |
electroCore Research & Development 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=research-and-development&ticker=ECOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ECOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();