electroCore (ECOR) Total Current Liabilities (2017 - 2026)
electroCore (ECOR) recorded Total Current Liabilities of $11.67 million in Q2 2026, up 21.4% from $9.62 million a year earlier but down 5.2% from the prior quarter.
electroCore (ECOR) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, electroCore reported Total Current Liabilities of $11.35 million, up 24.0% from FY2024.
- Annual Total Current Liabilities has increased for four straight years, with a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $9.15 million in FY2024 (+12.7%), $8.12 million in FY2023 (+15.3%), $7.05 million in FY2022 (+28.4%) and $5.49 million in FY2021 (-6.9%).
- Quarterly Total Current Liabilities has ranged from $4.68 million in Q1 2022 to $12.31 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for seven consecutive quarters, with growth averaging 24.3% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 56.7% in Q1 2026, against a decline of 12.4% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.31 million (Q1 2026), $11.35 million (Q4 2025) and $12.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.51 Bn |
| 10 | electroCore | 69.12 Mn | 25.61 Mn | 8.18 Mn | 11.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.67 Mn |
| Mar 31, 2026 | 12.31 Mn |
| Dec 31, 2025 | 11.35 Mn |
| Sep 30, 2025 | 12.14 Mn |
| Jun 30, 2025 | 9.62 Mn |
| Mar 31, 2025 | 7.86 Mn |
| Dec 31, 2024 | 9.15 Mn |
| Sep 30, 2024 | 7.91 Mn |
| Jun 30, 2024 | 7.25 Mn |
| Mar 31, 2024 | 7.83 Mn |
| Dec 31, 2023 | 8.12 Mn |
| Sep 30, 2023 | 8.51 Mn |
| Jun 30, 2023 | 6.58 Mn |
| Mar 31, 2023 | 5.85 Mn |
| Dec 31, 2022 | 7.05 Mn |
| Sep 30, 2022 | 6.64 Mn |
| Jun 30, 2022 | 5.64 Mn |
| Mar 31, 2022 | 4.68 Mn |
| Dec 31, 2021 | 5.49 Mn |
| Sep 30, 2021 | 5.74 Mn |
electroCore Total Current 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-current-liabilities&ticker=ECOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=ECOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();