Ceribell (CBLL) Receivables (2023 - 2026)
Ceribell's Receivables was $20.02 million in Q3 2026, up 39.2% from $14.38 million a year earlier and up 10.1% from the prior quarter.
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Analysis
Ceribell (CBLL) Receivables (2023 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Ceribell came in at $17.26 million, up 35.8% from FY2024.
- In earlier years, Receivables was $12.72 million in FY2024 (+34.3%) and $9.47 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 five straight quarters, with growth averaging 32.3% over the last six quarters.
- Per Business Quant data, CBLL's Receivables in the three quarters before Q3 2026 was $18.19 million (Q2 2026), $17.94 million (Q1 2026) and $17.26 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 11.32 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 9.03 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 4.13 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 1.72 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 3.69 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 3.11 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 937.80 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 2.36 Bn |
| 10 | Ceribell | 1.06 Bn | 514.27 Mn | 26.34 Mn | 20.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.02 Mn |
| Jun 30, 2026 | 18.19 Mn |
| Mar 31, 2026 | 17.94 Mn |
| Dec 31, 2025 | 17.26 Mn |
| Sep 30, 2025 | 14.38 Mn |
| Jun 30, 2025 | 14.34 Mn |
| Mar 31, 2025 | 13.32 Mn |
| Dec 31, 2024 | 12.72 Mn |
| Sep 30, 2024 | 11.67 Mn |
| Dec 31, 2023 | 9.47 Mn |
API Access
Ceribell 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=CBLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "CBLL", "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=CBLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();