Ceribell (CBLL) Operating Expenses (2023 - 2026)
Ceribell's Operating Expenses was $45.92 million in Q2 2026, up 36.5% from $33.63 million a year earlier and up 4.7% from the prior quarter.
Ceribell (CBLL) Operating Expenses (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ceribell's Operating Expenses was $160.61 million through Jun 30, 2026, up 33.9% year-over-year; for FY2025, it came in at $136.68 million, up 41.7% from FY2024.
- In earlier years, Operating Expenses was $96.46 million in FY2024 (+41.4%) and $68.2 million in FY2023.
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q3 2023.
- Compared with a year earlier, Operating Expenses has increased for eight straight quarters, with growth averaging 42.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 24.4% (Q4 2025) to 55.8% (Q2 2025).
- Per Business Quant data, CBLL's Operating Expenses in the three quarters before Q2 2026 was $43.87 million (Q1 2026), $36.24 million (Q4 2025) and $34.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Ceribell | 932.26 Mn | 334.02 Mn | 25.94 Mn | 45.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.92 Mn |
| Mar 31, 2026 | 43.87 Mn |
| Dec 31, 2025 | 36.24 Mn |
| Sep 30, 2025 | 34.59 Mn |
| Jun 30, 2025 | 33.63 Mn |
| Mar 31, 2025 | 32.21 Mn |
| Dec 31, 2024 | 29.12 Mn |
| Sep 30, 2024 | 24.95 Mn |
| Jun 30, 2024 | 21.59 Mn |
| Mar 31, 2024 | 20.80 Mn |
| Dec 31, 2023 | 19.50 Mn |
| Sep 30, 2023 | 16.89 Mn |
Ceribell Operating 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=operating-expenses&ticker=CBLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CBLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();