Ceribell (CBLL) EBIT (2023 - 2026)
Ceribell (CBLL) reported EBIT of -$19.98 million for Q2 2026, compared with -$14.95 million a year earlier.
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Analysis
Ceribell (CBLL) EBIT (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ceribell's EBIT came in at -$69.97 million; for FY2025, it was -$58.4 million.
- By year, EBIT came in at -$39.71 million in FY2024 and -$30.04 million in FY2023.
- Five-year quarterly EBIT spans a low of -$20.75 million in Q1 2026 and a high of -$7.16 million in Q3 2023.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$20.75 million (Q1 2026), -$14.6 million (Q4 2025) and -$14.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.09 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.69 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.13 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 971.90 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.18 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 513.20 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 663.00 Mn |
| 10 | Ceribell | 932.26 Mn | 334.02 Mn | 25.94 Mn | -19.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19.98 Mn |
| Mar 31, 2026 | -20.75 Mn |
| Dec 31, 2025 | -14.60 Mn |
| Sep 30, 2025 | -14.65 Mn |
| Jun 30, 2025 | -14.95 Mn |
| Mar 31, 2025 | -14.21 Mn |
| Dec 31, 2024 | -12.88 Mn |
| Sep 30, 2024 | -9.94 Mn |
| Jun 30, 2024 | -8.44 Mn |
| Mar 31, 2024 | -8.45 Mn |
| Dec 31, 2023 | -8.38 Mn |
| Sep 30, 2023 | -7.16 Mn |
API Access
Ceribell EBIT 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=ebit&ticker=CBLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CBLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();