EBR Systems (EBRCZ) Operating Leases (2023 - 2026)
EBR Systems (EBRCZ) reported Operating Leases of $17.4 million for Q1 2026, up 28.3% from $13.56 million a year earlier and up 5.3% from the prior quarter.
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Analysis
EBR Systems (EBRCZ) Operating Leases (2023 - 2026) Analysis & Trends
At the end of FY2025, EBR Systems posted Operating Leases of $16.52 million.
- By year, Operating Leases came in at $575,000 in FY2024 (-65.6%) and $1.67 million in FY2023.
- The Q1 2026 figure ranks as the highest quarterly Operating Leases in data going back to Q4 2023.
- Per Business Quant data, the three quarters before Q1 2026 came in at $16.52 million (Q4 2025), $15.06 million (Q3 2025) and $14.77 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | EBR Systems | 5.42 Mn | 5.42 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 17.40 Mn |
| Dec 31, 2025 | 16.52 Mn |
| Sep 30, 2025 | 15.06 Mn |
| Jun 30, 2025 | 14.77 Mn |
| Mar 31, 2025 | 13.56 Mn |
| Dec 31, 2024 | 575,000.00 |
| Sep 30, 2024 | 709,953.00 |
| Dec 31, 2023 | 1.67 Mn |
API Access
EBR Systems Operating Leases 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=operating-leases&ticker=EBRCZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=EBRCZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();