EBR Systems (EBRCZ) Net Cash Flow (2023 - 2026)
EBR Systems' Net Cash Flow was $763,000 in Q1 2026, down 83.4% from $4.58 million a year earlier.
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Analysis
EBR Systems (EBRCZ) Net Cash Flow (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, EBR Systems' Net Cash Flow was -$2.35 million through Mar 31, 2026; for FY2025, it came in at $1.47 million.
- In earlier years, Net Cash Flow was -$7.63 million in FY2024 and -$872,580 in FY2023.
- Quarterly Net Cash Flow has moved between -$32.36 million (Q3 2025) and $36.09 million (Q2 2025) over five years.
- Per Business Quant data, EBRCZ's Net Cash Flow in the three quarters before Q1 2026 was -$6.84 million (Q4 2025), -$32.36 million (Q3 2025) and $36.09 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.26 Bn | 233.29 Bn | 4.88 Bn | 718.00 Mn |
| 2 | Abbott Laboratories | 175.44 Bn | 145.87 Bn | 7.27 Bn | -1.70 Bn |
| 3 | Danaher | 164.24 Bn | 148.05 Bn | 3.61 Bn | -1.34 Bn |
| 4 | Intuitive Surgical | 155.99 Bn | 135.41 Bn | 1.96 Bn | 746.50 Mn |
| 5 | Medtronic | 121.82 Bn | 87.08 Bn | 6.34 Bn | -169.00 Mn |
| 6 | Stryker | 117.21 Bn | 103.32 Bn | 4.50 Bn | 527.00 Mn |
| 7 | Boston Scientific | 66.47 Bn | 61.24 Bn | 3.85 Bn | -892.00 Mn |
| 8 | Becton Dickinson | 54.36 Bn | 51.51 Bn | 2.32 Bn | -42.00 Mn |
| 9 | Edwards Lifesciences | 51.61 Bn | 35.61 Bn | 1.35 Bn | 458.40 Mn |
| 10 | EBR Systems | 5.42 Mn | 5.42 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 763,000.00 |
| Dec 31, 2025 | -6.84 Mn |
| Sep 30, 2025 | -32.36 Mn |
| Jun 30, 2025 | 36.09 Mn |
| Mar 31, 2025 | 4.58 Mn |
| Dec 31, 2024 | -29.48 Mn |
| Sep 30, 2024 | 28.05 Mn |
| Jun 30, 2024 | 631,069.00 |
| Mar 31, 2024 | -6.83 Mn |
| Dec 31, 2023 | -29.55 Mn |
API Access
EBR Systems Net Cash Flow 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=net-cash-flow&ticker=EBRCZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=EBRCZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();