EBR Systems (EBRCZ) Debt Ratio (2023 - 2026)
EBR Systems' Debt Ratio came in at 0.51 for Q1 2026, down 4.5% from 0.54 a year earlier but up 21.6% from the prior quarter.
Analysis
EBR Systems (EBRCZ) Debt Ratio (2023 - 2026) Analysis & Trends
For FY2025, EBR Systems' Debt Ratio was 0.42, down 23.2% from FY2024.
- Going back by year, Debt Ratio was 0.55 in FY2024 (+9.0%) and 0.50 in FY2023.
- The five-year range for quarterly Debt Ratio is 0.35 (Q2 2025) to 0.55 (Q4 2024).
- Year-over-year, Debt Ratio has declined for three consecutive quarters, with an average decline of 10.7% over the last four quarters.
- Business Quant data shows EBRCZ's Debt Ratio at 0.42 (Q4 2025), 0.39 (Q3 2025) and 0.35 (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 0.38 |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 0.30 |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 0.29 |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 0.30 |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 0.31 |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 0.28 |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 0.33 |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 0.04 |
| 10 | EBR Systems | 5.42 Mn | 5.42 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.51 |
| Dec 31, 2025 | 0.42 |
| Sep 30, 2025 | 0.39 |
| Jun 30, 2025 | 0.35 |
| Mar 31, 2025 | 0.54 |
| Dec 31, 2024 | 0.55 |
| Sep 30, 2024 | 0.51 |
| Dec 31, 2023 | 0.50 |
API Access
EBR Systems Debt Ratio 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=debt-ratio&ticker=EBRCZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=EBRCZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();