electroCore (ECOR) Total Liabilities (2017 - 2026)
electroCore (ECOR) reported Total Liabilities of $19.85 million for Q2 2026, up 47.7% from $13.45 million a year earlier but down 6.2% from the prior quarter.
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Analysis
electroCore (ECOR) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, electroCore posted Total Liabilities of $20.38 million, up 57.6% from FY2024.
- Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- By year, Total Liabilities came in at $12.93 million in FY2024 (+49.3%), $8.66 million in FY2023 (+12.9%), $7.67 million in FY2022 (+24.0%) and $6.19 million in FY2021 (-21.5%).
- Five-year quarterly Total Liabilities spans a low of $5.37 million in Q1 2022 and a high of $22.49 million in Q3 2025.
- Year over year, Total Liabilities has now increased in each of the last 16 quarters, with growth averaging 50.7% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2025 (growth of 94.0%); the low point was Q1 2022 (a decline of 24.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $21.17 million (Q1 2026), $20.38 million (Q4 2025) and $22.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | electroCore | 97.94 Mn | 54.42 Mn | 8.18 Mn | 19.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.85 Mn |
| Mar 31, 2026 | 21.17 Mn |
| Dec 31, 2025 | 20.38 Mn |
| Sep 30, 2025 | 22.49 Mn |
| Jun 30, 2025 | 13.45 Mn |
| Mar 31, 2025 | 11.68 Mn |
| Dec 31, 2024 | 12.93 Mn |
| Sep 30, 2024 | 11.59 Mn |
| Jun 30, 2024 | 10.88 Mn |
| Mar 31, 2024 | 9.39 Mn |
| Dec 31, 2023 | 8.66 Mn |
| Sep 30, 2023 | 9.07 Mn |
| Jun 30, 2023 | 7.16 Mn |
| Mar 31, 2023 | 6.45 Mn |
| Dec 31, 2022 | 7.67 Mn |
| Sep 30, 2022 | 7.29 Mn |
| Jun 30, 2022 | 6.31 Mn |
| Mar 31, 2022 | 5.37 Mn |
| Dec 31, 2021 | 6.19 Mn |
| Sep 30, 2021 | 6.45 Mn |
API Access
electroCore Total Liabilities 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=total-liabilities&ticker=ECOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ECOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();