EBR Systems (EBRCZ) Non-Current Assets (2023 - 2026)
EBR Systems (EBRCZ) recorded Non-Current Assets of $26.24 million in Q1 2026, up 19.2% from $22.02 million a year earlier and up 8.8% from the prior quarter.
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Analysis
EBR Systems (EBRCZ) Non-Current Assets (2023 - 2026) Analysis & Trends
At the end of FY2025, EBR Systems reported Non-Current Assets of $24.12 million, up 165.2% from FY2024.
- Across earlier years, Non-Current Assets came in at $9.09 million in FY2024 (+101.0%) and $4.52 million in FY2023.
- The Q1 2026 figure is the highest quarterly Non-Current Assets in data going back to Q4 2023.
- On a year-over-year basis, Non-Current Assets has increased for three consecutive quarters, with growth averaging 181.4% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at $24.12 million (Q4 2025), $22.76 million (Q3 2025) and $24.59 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | 10.92 Bn |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | 7.05 Bn |
| 10 | EBR Systems | 5.42 Mn | 5.42 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 26.24 Mn |
| Dec 31, 2025 | 24.12 Mn |
| Sep 30, 2025 | 22.76 Mn |
| Jun 30, 2025 | 24.59 Mn |
| Mar 31, 2025 | 22.02 Mn |
| Dec 31, 2024 | 9.09 Mn |
| Sep 30, 2024 | 4.21 Mn |
| Dec 31, 2023 | 4.52 Mn |
API Access
EBR Systems Non-Current Assets 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-current-assets&ticker=EBRCZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-current-assets&ticker=EBRCZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();