Ceribell (CBLL) Accumulated Expenses (2023 - 2026)
Ceribell's Accumulated Expenses was $12.48 million in Q2 2026, up 19.7% from $10.43 million a year earlier but down 0.6% from the prior quarter.
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Analysis
Ceribell (CBLL) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Ceribell came in at $14.33 million, up 42.5% from FY2024.
- In earlier years, Accumulated Expenses was $10.05 million in FY2024 (+33.3%) and $7.54 million in FY2023.
- Quarterly Accumulated Expenses has moved between $7.54 million (Q4 2023) and $14.33 million (Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for four straight quarters, with growth averaging 34.8% over the last five quarters.
- Per Business Quant data, CBLL's Accumulated Expenses in the three quarters before Q2 2026 was $12.56 million (Q1 2026), $14.33 million (Q4 2025) and $10.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Ceribell | 932.26 Mn | 334.02 Mn | 25.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.48 Mn |
| Mar 31, 2026 | 12.56 Mn |
| Dec 31, 2025 | 14.33 Mn |
| Sep 30, 2025 | 10.91 Mn |
| Jun 30, 2025 | 10.43 Mn |
| Mar 31, 2025 | 8.30 Mn |
| Dec 31, 2024 | 10.05 Mn |
| Sep 30, 2024 | 8.57 Mn |
| Dec 31, 2023 | 7.54 Mn |
API Access
Ceribell Accumulated Expenses 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=accumulated-expenses&ticker=CBLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CBLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();