electroCore (ECOR) Accumulated Expenses (2017 - 2026)
electroCore's Accumulated Expenses came in at $8.11 million for Q2 2026, up 22.0% from $6.65 million a year earlier but down 14.7% from the prior quarter.
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Analysis
electroCore (ECOR) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, electroCore's Accumulated Expenses was $8.26 million, up 18.6% from FY2024.
- Accumulated Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 22.7% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $6.96 million in FY2024 (+18.6%), $5.87 million in FY2023 (+21.3%), $4.84 million in FY2022 (+7.9%) and $4.49 million in FY2021 (+51.3%).
- The five-year range for quarterly Accumulated Expenses is $2.38 million (Q1 2022) to $9.51 million (Q1 2026).
- Year-over-year, Accumulated Expenses has increased for 21 consecutive quarters, with growth averaging 25.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Accumulated Expenses ranged from 5.4% (Q3 2022) to 74.7% (Q3 2021).
- Business Quant data shows ECOR's Accumulated Expenses at $9.51 million (Q1 2026), $8.26 million (Q4 2025) and $8.61 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | electroCore | 70.83 Mn | 32.76 Mn | 8.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.64 Mn |
| Jun 30, 2026 | 8.11 Mn |
| Mar 31, 2026 | 9.51 Mn |
| Dec 31, 2025 | 8.26 Mn |
| Sep 30, 2025 | 8.61 Mn |
| Jun 30, 2025 | 6.65 Mn |
| Mar 31, 2025 | 5.73 Mn |
| Dec 31, 2024 | 6.96 Mn |
| Sep 30, 2024 | 6.31 Mn |
| Jun 30, 2024 | 5.45 Mn |
| Mar 31, 2024 | 5.41 Mn |
| Dec 31, 2023 | 5.87 Mn |
| Sep 30, 2023 | 5.39 Mn |
| Jun 30, 2023 | 4.21 Mn |
| Mar 31, 2023 | 3.77 Mn |
| Dec 31, 2022 | 4.84 Mn |
| Sep 30, 2022 | 4.67 Mn |
| Jun 30, 2022 | 3.52 Mn |
| Mar 31, 2022 | 2.38 Mn |
| Dec 31, 2021 | 4.49 Mn |
API Access
electroCore Accumulated 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=accumulated-expenses&ticker=ECOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ECOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();