electroCore (ECOR) Selling, General & Administrative (2017 - 2026)
electroCore (ECOR) recorded Selling, General & Administrative of $10.13 million in Q2 2026, up 7.4% from $9.44 million a year earlier but down 21.7% from the prior quarter.
electroCore (ECOR) Selling, General & Administrative (2017 - 2026) Analysis & Trends
On a TTM basis, electroCore's Selling, General & Administrative came in at $42.95 million as of Jun 30, 2026, up 25.4% year-over-year; for FY2025, it was $38.21 million, up 22.5% from FY2024.
- Annual Selling, General & Administrative has increased for four straight years, with a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $31.2 million in FY2024 (+14.8%), $27.17 million in FY2023 (+11.7%), $24.33 million in FY2022 (+12.8%) and $21.57 million in FY2021 (-1.2%).
- Quarterly Selling, General & Administrative has ranged from $4.65 million in Q3 2021 to $12.94 million in Q1 2026 over the past five years.
- On a year-over-year basis, Selling, General & Administrative has increased for 20 consecutive quarters, with growth averaging 22.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Selling, General & Administrative ranged from 1.2% (Q3 2021) to 45.6% (Q1 2026).
- Per Business Quant, the preceding three quarters came in at $12.94 million (Q1 2026), $10.19 million (Q4 2025) and $9.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 1.26 Bn |
| 10 | electroCore | 92.81 Mn | 49.29 Mn | 8.18 Mn | 10.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.13 Mn |
| Mar 31, 2026 | 12.94 Mn |
| Dec 31, 2025 | 10.19 Mn |
| Sep 30, 2025 | 9.69 Mn |
| Jun 30, 2025 | 9.44 Mn |
| Mar 31, 2025 | 8.89 Mn |
| Dec 31, 2024 | 8.32 Mn |
| Sep 30, 2024 | 7.62 Mn |
| Jun 30, 2024 | 7.26 Mn |
| Mar 31, 2024 | 8.01 Mn |
| Dec 31, 2023 | 6.94 Mn |
| Sep 30, 2023 | 6.72 Mn |
| Jun 30, 2023 | 6.80 Mn |
| Mar 31, 2023 | 6.71 Mn |
| Dec 31, 2022 | 6.21 Mn |
| Sep 30, 2022 | 5.66 Mn |
| Jun 30, 2022 | 6.28 Mn |
| Mar 31, 2022 | 6.19 Mn |
| Dec 31, 2021 | 5.93 Mn |
| Sep 30, 2021 | 4.65 Mn |
electroCore Selling, General & Administrative 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=selling-general-and-administrative&ticker=ECOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ECOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();