Ceribell (CBLL) Operating Leases (2023 - 2026)
Ceribell's Operating Leases came in at $748,000 for Q2 2026, up 3.0% from $726,000 a year earlier but down 29.3% from the prior quarter.
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Analysis
Ceribell (CBLL) Operating Leases (2023 - 2026) Analysis & Trends
At the end of FY2025, Ceribell's Operating Leases was $1.36 million, up 3.5% from FY2024.
- Going back by year, Operating Leases was $1.31 million in FY2024 (-21.6%) and $1.68 million in FY2023.
- The five-year range for quarterly Operating Leases is $422,000 (Q3 2025) to $1.68 million (Q4 2023).
- Year-over-year, Operating Leases has increased for three consecutive quarters, with an average decline of 17.1% over the last five quarters.
- Business Quant data shows CBLL's Operating Leases at $1.06 million (Q1 2026), $1.36 million (Q4 2025) and $422,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Ceribell | 1.03 Bn | 432.80 Mn | 25.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 748,000.00 |
| Mar 31, 2026 | 1.06 Mn |
| Dec 31, 2025 | 1.36 Mn |
| Sep 30, 2025 | 422,000.00 |
| Jun 30, 2025 | 726,000.00 |
| Mar 31, 2025 | 1.02 Mn |
| Dec 31, 2024 | 1.31 Mn |
| Sep 30, 2024 | 1.60 Mn |
| Dec 31, 2023 | 1.68 Mn |
API Access
Ceribell Operating Leases 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-leases&ticker=CBLL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=CBLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();