Ceribell (CBLL) Total Liabilities (2023 - 2026)
Ceribell (CBLL) reported Total Liabilities of $38.04 million for Q2 2026, up 7.0% from $35.53 million a year earlier and up 2.1% from the prior quarter.
Ceribell (CBLL) Total Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Ceribell posted Total Liabilities of $40.47 million, up 18.2% from FY2024.
- By year, Total Liabilities came in at $34.25 million in FY2024 (-80.0%) and $171.17 million in FY2023.
- Five-year quarterly Total Liabilities spans a low of $32.59 million in Q1 2025 and a high of $183.04 million in Q3 2024.
- Year over year, Total Liabilities has now increased in each of the last three quarters, with an average decline of 24.2% over the last five quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $37.27 million (Q1 2026), $40.47 million (Q4 2025) and $35.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Ceribell | 932.26 Mn | 334.02 Mn | 25.94 Mn | 38.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.04 Mn |
| Mar 31, 2026 | 37.27 Mn |
| Dec 31, 2025 | 40.47 Mn |
| Sep 30, 2025 | 35.44 Mn |
| Jun 30, 2025 | 35.53 Mn |
| Mar 31, 2025 | 32.59 Mn |
| Dec 31, 2024 | 34.25 Mn |
| Sep 30, 2024 | 183.04 Mn |
| Dec 31, 2023 | 171.17 Mn |
Ceribell Total Liabilities 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=total-liabilities&ticker=CBLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CBLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();