Ceribell (CBLL) Debt Ratio (2023 - 2026)
Ceribell's Debt Ratio came in at 0.12 for Q2 2026, up 26.8% from 0.09 a year earlier and up 7.4% from the prior quarter.
Analysis
Ceribell (CBLL) Debt Ratio (2023 - 2026) Analysis & Trends
For FY2025, Ceribell's Debt Ratio was 0.10, up 16.6% from FY2024.
- Going back by year, Debt Ratio was 0.09 in FY2024 (-56.8%) and 0.20 in FY2023.
- The Q2 2026 figure represents the highest quarterly Debt Ratio since Q3 2024.
- Year-over-year, Debt Ratio has increased for three consecutive quarters, with an average decline of 13.6% over the last five quarters.
- Business Quant data shows CBLL's Debt Ratio at 0.11 (Q1 2026), 0.10 (Q4 2025) and 0.10 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 0.38 |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 0.30 |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 0.29 |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 0.30 |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 0.31 |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 0.28 |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 0.04 |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 0.33 |
| 10 | Ceribell | 932.26 Mn | 334.02 Mn | 25.94 Mn | 0.12 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.12 |
| Mar 31, 2026 | 0.11 |
| Dec 31, 2025 | 0.10 |
| Sep 30, 2025 | 0.10 |
| Jun 30, 2025 | 0.09 |
| Mar 31, 2025 | 0.09 |
| Dec 31, 2024 | 0.09 |
| Sep 30, 2024 | 0.41 |
| Dec 31, 2023 | 0.20 |
API Access
Ceribell Debt Ratio 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=debt-ratio&ticker=CBLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=CBLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();