Beta Bionics (BBNX) Receivables (2023 - 2026)
Beta Bionics' Receivables was $20.67 million in Q3 2026, up 79.1% from $11.54 million a year earlier and up 14.5% from the prior quarter.
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Analysis
Beta Bionics (BBNX) Receivables (2023 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Beta Bionics came in at $17.12 million, up 42.7% from FY2024.
- In earlier years, Receivables was $12 million in FY2024 (+169.7%) and $4.45 million in FY2023.
- The Q3 2026 figure marks the highest quarterly Receivables in data going back to Q4 2023.
- Compared with a year earlier, Receivables has increased for four straight quarters, with growth averaging 84.8% over the last five quarters.
- Per Business Quant data, BBNX's Receivables in the three quarters before Q3 2026 was $18.05 million (Q2 2026), $15.75 million (Q1 2026) and $17.12 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 11.32 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 9.03 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 4.13 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 1.72 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.69 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 3.11 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 937.80 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 3.79 Bn |
| 10 | Beta Bionics | 898.08 Mn | 58.74 Mn | 20.33 Mn | 20.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.67 Mn |
| Jun 30, 2026 | 18.05 Mn |
| Mar 31, 2026 | 15.75 Mn |
| Dec 31, 2025 | 17.12 Mn |
| Sep 30, 2025 | 11.54 Mn |
| Jun 30, 2025 | 11.40 Mn |
| Mar 31, 2025 | 9.06 Mn |
| Dec 31, 2024 | 12.00 Mn |
| Dec 31, 2023 | 4.45 Mn |
API Access
Beta Bionics Receivables 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=receivables&ticker=BBNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=BBNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();