electroCore (ECOR) Operating Expenses (2017 - 2026)
electroCore (ECOR) reported Operating Expenses of $10.95 million for Q2 2026, up 10.1% from $9.95 million a year earlier but down 20.0% from the prior quarter.
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Analysis
electroCore (ECOR) Operating Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, electroCore's Operating Expenses came in at $46.09 million, up 25.5% year-over-year; for FY2025, it came in at $40.94 million, up 22.0% from FY2024.
- Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- By year, Operating Expenses came in at $33.56 million in FY2024 (+3.3%), $32.5 million in FY2023 (+8.9%), $29.85 million in FY2022 (+23.8%) and $24.11 million in FY2021 (-9.0%).
- Five-year quarterly Operating Expenses spans a low of $5.12 million in Q3 2021 and a high of $13.68 million in Q1 2026.
- Year over year, Operating Expenses has now increased in each of the last eight quarters, with growth averaging 19.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2026 (growth of 43.6%); the low point was Q3 2021 (a decline of 2.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.68 million (Q1 2026), $11.11 million (Q4 2025) and $10.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 840.10 Mn |
| 10 | electroCore | 69.12 Mn | 25.61 Mn | 8.18 Mn | 10.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.95 Mn |
| Mar 31, 2026 | 13.68 Mn |
| Dec 31, 2025 | 11.11 Mn |
| Sep 30, 2025 | 10.35 Mn |
| Jun 30, 2025 | 9.95 Mn |
| Mar 31, 2025 | 9.53 Mn |
| Dec 31, 2024 | 9.12 Mn |
| Sep 30, 2024 | 8.14 Mn |
| Jun 30, 2024 | 7.89 Mn |
| Mar 31, 2024 | 8.40 Mn |
| Dec 31, 2023 | 8.05 Mn |
| Sep 30, 2023 | 7.97 Mn |
| Jun 30, 2023 | 7.95 Mn |
| Mar 31, 2023 | 8.52 Mn |
| Dec 31, 2022 | 7.84 Mn |
| Sep 30, 2022 | 7.27 Mn |
| Jun 30, 2022 | 7.62 Mn |
| Mar 31, 2022 | 7.12 Mn |
| Dec 31, 2021 | 6.67 Mn |
| Sep 30, 2021 | 5.12 Mn |
API Access
electroCore Operating Expenses 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=operating-expenses&ticker=ECOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ECOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();