electroCore (ECOR) Depreciation & Amortization (CF) (2017 - 2026)
electroCore (ECOR) reported Depreciation & Amortization (CF) of $6,000 for Q2 2026, down 95.0% from $121,000 a year earlier and down 71.4% from the prior quarter.
electroCore (ECOR) Depreciation & Amortization (CF) (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, electroCore's Depreciation & Amortization (CF) came in at $252,000, down 59.9% year-over-year; for FY2025, it was $501,000, down 34.1% from FY2024.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $760,000 in FY2024 (-21.0%), $962,000 in FY2023 (+75.5%), $548,000 in FY2022 (+43.5%) and $382,000 in FY2021 (-4.3%).
- The Q2 2026 figure ranks as the lowest quarterly Depreciation & Amortization (CF) in data going back to Q2 2017.
- Year over year, Depreciation & Amortization (CF) has now declined in each of the last nine quarters, with an average decline of 47.6% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q2 2023 (growth of 128.4%); the low point was Q2 2026 (a decline of 95.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $21,000 (Q1 2026), $107,000 (Q4 2025) and $118,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.38 Bn | 233.41 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 175.04 Bn | 145.47 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 164.62 Bn | 148.43 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 153.67 Bn | 133.10 Bn | 1.96 Bn | 192.30 Mn |
| 5 | Medtronic | 120.08 Bn | 85.33 Bn | 6.34 Bn | 729.00 Mn |
| 6 | Stryker | 116.19 Bn | 102.30 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 65.99 Bn | 60.76 Bn | 3.85 Bn | 355.00 Mn |
| 8 | Becton Dickinson | 53.92 Bn | 51.07 Bn | 2.32 Bn | 564.00 Mn |
| 9 | Edwards Lifesciences | 51.25 Bn | 35.26 Bn | 1.35 Bn | 42.70 Mn |
| 10 | electroCore | 71.19 Mn | 27.68 Mn | 8.18 Mn | 6,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6,000.00 |
| Mar 31, 2026 | 21,000.00 |
| Dec 31, 2025 | 107,000.00 |
| Sep 30, 2025 | 118,000.00 |
| Jun 30, 2025 | 121,000.00 |
| Mar 31, 2025 | 155,000.00 |
| Dec 31, 2024 | 168,000.00 |
| Sep 30, 2024 | 185,000.00 |
| Jun 30, 2024 | 201,000.00 |
| Mar 31, 2024 | 206,000.00 |
| Dec 31, 2023 | 227,000.00 |
| Sep 30, 2023 | 291,000.00 |
| Jun 30, 2023 | 322,000.00 |
| Mar 31, 2023 | 122,000.00 |
| Dec 31, 2022 | 148,000.00 |
| Sep 30, 2022 | 153,000.00 |
| Jun 30, 2022 | 141,000.00 |
| Mar 31, 2022 | 106,000.00 |
| Dec 31, 2021 | 95,000.00 |
| Sep 30, 2021 | 96,000.00 |
electroCore Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=ECOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=ECOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();