Ceribell (CBLL) Other Accumulated Expenses (2023 - 2026)
Ceribell's Other Accumulated Expenses was $3.33 million in Q2 2026, up 29.6% from $2.57 million a year earlier and up 9.9% from the prior quarter.
Ceribell (CBLL) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Ceribell came in at $4.05 million, up 18.4% from FY2024.
- In earlier years, Other Accumulated Expenses was $3.42 million in FY2024 (+56.1%) and $2.19 million in FY2023.
- Quarterly Other Accumulated Expenses has moved between $2.19 million (Q4 2023) and $4.05 million (Q4 2025) over five years.
- Compared with a year earlier, Other Accumulated Expenses was higher in four of the last five quarters, with growth averaging 28.5%.
- Per Business Quant data, CBLL's Other Accumulated Expenses in the three quarters before Q2 2026 was $3.03 million (Q1 2026), $4.05 million (Q4 2025) and $3.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 247.86 Bn | 226.89 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 177.43 Bn | 147.86 Bn | 7.27 Bn |
| 3 | Danaher | 159.54 Bn | 143.35 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 157.40 Bn | 137.68 Bn | 2.08 Bn |
| 5 | Medtronic | 122.54 Bn | 87.79 Bn | 6.34 Bn |
| 6 | Stryker | 117.68 Bn | 103.80 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.64 Bn | 61.41 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.28 Bn | 51.43 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.48 Bn | 35.49 Bn | 1.35 Bn |
| 10 | Ceribell | 1.03 Bn | 428.62 Mn | 25.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.33 Mn |
| Mar 31, 2026 | 3.03 Mn |
| Dec 31, 2025 | 4.05 Mn |
| Sep 30, 2025 | 3.57 Mn |
| Jun 30, 2025 | 2.57 Mn |
| Mar 31, 2025 | 3.16 Mn |
| Dec 31, 2024 | 3.42 Mn |
| Sep 30, 2024 | 2.51 Mn |
| Dec 31, 2023 | 2.19 Mn |
Ceribell Other 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=other-accumulated-expenses&ticker=CBLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=CBLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();