Ceribell (CBLL) EBT (2023 - 2026)
Ceribell (CBLL) recorded EBT of -$19.27 million in Q2 2026, compared with -$13.64 million a year earlier.
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Analysis
Ceribell (CBLL) EBT (2023 - 2026) Analysis & Trends
On a TTM basis, Ceribell's EBT came in at -$66 million as of Jun 30, 2026; for FY2025, it came in at -$53.41 million.
- Across earlier years, EBT came in at -$40.46 million in FY2024 and -$29.45 million in FY2023.
- Quarterly EBT has ranged from -$19.74 million in Q1 2026 to -$7.05 million in Q3 2023 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$19.74 million (Q1 2026), -$13.53 million (Q4 2025) and -$13.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 1.92 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 1.52 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 1.08 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.05 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 1.77 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 1.56 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.06 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 554.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 519.80 Mn |
| 10 | Ceribell | 1.03 Bn | 432.80 Mn | 25.94 Mn | -19.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19.27 Mn |
| Mar 31, 2026 | -19.74 Mn |
| Dec 31, 2025 | -13.53 Mn |
| Sep 30, 2025 | -13.47 Mn |
| Jun 30, 2025 | -13.64 Mn |
| Mar 31, 2025 | -12.78 Mn |
| Dec 31, 2024 | -12.58 Mn |
| Sep 30, 2024 | -10.42 Mn |
| Jun 30, 2024 | -8.94 Mn |
| Mar 31, 2024 | -8.52 Mn |
| Dec 31, 2023 | -8.27 Mn |
| Sep 30, 2023 | -7.05 Mn |
API Access
Ceribell EBT 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=ebt&ticker=CBLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=CBLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();