Ceribell (CBLL) Retained Earnings (2023 - 2026)
Ceribell (CBLL) recorded Retained Earnings of -$280.71 million in Q3 2026, compared with -$206.83 million a year earlier.
Analysis
Ceribell (CBLL) Retained Earnings (2023 - 2026) Analysis & Trends
At the end of FY2025, Ceribell reported Retained Earnings of -$220.36 million.
- Across earlier years, Retained Earnings came in at -$166.94 million in FY2024 and -$126.5 million in FY2023.
- The Q3 2026 figure is the lowest quarterly Retained Earnings in data going back to Q4 2023.
- Per Business Quant, the preceding three quarters came in at -$259.4 million (Q2 2026), -$240.1 million (Q1 2026) and -$220.36 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 63.74 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 49.64 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 49.18 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 4.53 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 21.25 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 8.40 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 15.17 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 17.51 Bn |
| 10 | Ceribell | 1.06 Bn | 514.27 Mn | 26.34 Mn | -280.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -280.71 Mn |
| Jun 30, 2026 | -259.40 Mn |
| Mar 31, 2026 | -240.10 Mn |
| Dec 31, 2025 | -220.36 Mn |
| Sep 30, 2025 | -206.83 Mn |
| Jun 30, 2025 | -193.40 Mn |
| Mar 31, 2025 | -179.72 Mn |
| Dec 31, 2024 | -166.94 Mn |
| Sep 30, 2024 | -154.40 Mn |
| Dec 31, 2023 | -126.50 Mn |
API Access
Ceribell Retained Earnings 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=retained-earnings&ticker=CBLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=CBLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();