EBR Systems (EBRCZ) Non Operating Income (2023 - 2026)
EBR Systems' Non Operating Income was -$902,000 in Q1 2026, compared with -$772,000 a year earlier.
EBR Systems (EBRCZ) Non Operating Income (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, EBR Systems' Non Operating Income was -$2.8 million through Mar 31, 2026; for FY2025, it came in at -$2.67 million.
- In earlier years, Non Operating Income was -$2.48 million in FY2024 and -$486,316 in FY2023.
- The Q1 2026 figure marks the lowest quarterly Non Operating Income in data going back to Q3 2023.
- Per Business Quant data, EBRCZ's Non Operating Income in the three quarters before Q1 2026 was -$752,878 (Q4 2025), -$308,030 (Q3 2025) and -$835,507 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.25 Bn | 233.28 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 178.08 Bn | 148.51 Bn | 7.27 Bn | - |
| 3 | Danaher | 163.23 Bn | 147.04 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 156.27 Bn | 135.69 Bn | 1.96 Bn | 82.70 Mn |
| 5 | Medtronic | 122.85 Bn | 88.10 Bn | 6.34 Bn | - |
| 6 | Stryker | 118.37 Bn | 104.48 Bn | 4.50 Bn | 46.00 Mn |
| 7 | Boston Scientific | 67.13 Bn | 61.90 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.72 Bn | 51.87 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.63 Bn | 35.64 Bn | 1.35 Bn | 6.60 Mn |
| 10 | EBR Systems | 5.42 Mn | 5.42 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -902,000.00 |
| Dec 31, 2025 | -752,878.00 |
| Sep 30, 2025 | -308,030.00 |
| Jun 30, 2025 | -835,507.00 |
| Mar 31, 2025 | -772,000.00 |
| Dec 31, 2024 | -270,696.00 |
| Sep 30, 2024 | -878,932.00 |
| Jun 30, 2024 | -752,763.00 |
| Mar 31, 2024 | -575,609.00 |
| Dec 31, 2023 | -130,934.00 |
| Sep 30, 2023 | -338,529.00 |
EBR Systems Non Operating Income 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=non-operating-income&ticker=EBRCZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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=non-operating-income&ticker=EBRCZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();