EBR Systems (EBRCZ) Other Non-Current Liabilities (2023 - 2026)
EBR Systems (EBRCZ) reported Other Non-Current Liabilities of $240,000 for Q1 2026, up 1.8% from $235,829 a year earlier and up 30.4% from the prior quarter.
EBR Systems (EBRCZ) Other Non-Current Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, EBR Systems posted Other Non-Current Liabilities of $184,000, up 384.2% from FY2024.
- By year, Other Non-Current Liabilities came in at $38,000 in FY2024 (-50.6%) and $76,946 in FY2023.
- The Q1 2026 figure ranks as the highest quarterly Other Non-Current Liabilities in data going back to Q4 2023.
- Year over year, Other Non-Current Liabilities has now increased in each of the last three quarters, with growth averaging 174.3% over the last four quarters.
- Per Business Quant data, the three quarters before Q1 2026 came in at $184,000 (Q4 2025), $204,815 (Q3 2025) and $208,349 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.16 Bn | 230.19 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 176.10 Bn | 146.53 Bn | 7.27 Bn |
| 3 | Danaher | 162.46 Bn | 146.26 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 155.10 Bn | 134.52 Bn | 1.96 Bn |
| 5 | Medtronic | 121.47 Bn | 86.72 Bn | 6.34 Bn |
| 6 | Stryker | 116.95 Bn | 103.07 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.62 Bn | 61.39 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.20 Bn | 51.35 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.52 Bn | 35.53 Bn | 1.35 Bn |
| 10 | EBR Systems | 5.42 Mn | 5.42 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 240,000.00 |
| Dec 31, 2025 | 184,000.00 |
| Sep 30, 2025 | 204,815.00 |
| Jun 30, 2025 | 208,349.00 |
| Mar 31, 2025 | 235,829.00 |
| Dec 31, 2024 | 38,000.00 |
| Sep 30, 2024 | 44,343.00 |
| Dec 31, 2023 | 76,946.00 |
EBR Systems Other Non-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=other-non-current-liabilities&ticker=EBRCZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=EBRCZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();