EBR Systems (EBRCZ) Accumulated Expenses (2023 - 2026)
EBR Systems (EBRCZ) posted Accumulated Expenses of $5 million for Q1 2026, up 63.5% from $3.06 million a year earlier but down 10.8% from the prior quarter.
EBR Systems (EBRCZ) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, EBR Systems' Accumulated Expenses came in at $5.61 million, up 30.5% from FY2024.
- In prior years, EBR Systems' Accumulated Expenses was $4.3 million in FY2024 (+4.9%) and $4.1 million in FY2023.
- Quarterly Accumulated Expenses has run from a low of $3.06 million in Q1 2025 to a high of $5.61 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with growth averaging 28.6% over the last four quarters.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $5.61 million (Q4 2025), $4.54 million (Q3 2025) and $3.87 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn |
| 10 | EBR Systems | 5.42 Mn | 5.42 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.21 Mn |
| Dec 31, 2025 | 5.82 Mn |
| Sep 30, 2025 | 4.75 Mn |
| Jun 30, 2025 | 4.07 Mn |
| Mar 31, 2025 | 3.28 Mn |
| Dec 31, 2024 | 4.52 Mn |
| Sep 30, 2024 | 4.15 Mn |
| Dec 31, 2023 | 4.32 Mn |
EBR Systems 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=EBRCZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "EBRCZ", "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=EBRCZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();