Beta Bionics (BBNX) Net Cash Flow (2024 - 2026)
Beta Bionics (BBNX) reported Net Cash Flow of $14.11 million for Q2 2026, compared with -$7.38 million a year earlier.
Beta Bionics (BBNX) Net Cash Flow (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Beta Bionics' Net Cash Flow came in at $9.24 million, down 58.1% year-over-year; for FY2025, it was $1.14 million, down 70.4% from FY2024.
- By year, Net Cash Flow came in at $3.87 million in FY2024 and -$1.11 million in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Net Cash Flow in data going back to Q1 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$1.37 million (Q1 2026), -$6.91 million (Q4 2025) and $3.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 718.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | -1.70 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | -1.34 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 746.50 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | -169.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 527.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | -892.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 458.40 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | -42.00 Mn |
| 10 | Beta Bionics | 848.80 Mn | 20.98 Mn | 18.90 Mn | 14.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.11 Mn |
| Mar 31, 2026 | -1.37 Mn |
| Dec 31, 2025 | -6.91 Mn |
| Sep 30, 2025 | 3.41 Mn |
| Jun 30, 2025 | -7.38 Mn |
| Mar 31, 2025 | 12.02 Mn |
| Dec 31, 2024 | 12.95 Mn |
| Sep 30, 2024 | 4.45 Mn |
| Jun 30, 2024 | -9.04 Mn |
| Mar 31, 2024 | -4.49 Mn |
Beta Bionics 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=BBNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "ticker": "BBNX", "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=BBNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();