Ceribell (CBLL) Inventory (2023 - 2026)
Ceribell (CBLL) reported Inventory of $6.96 million for Q3 2026, up 15.5% from $6.02 million a year earlier and up 3.2% from the prior quarter.
Analysis
Ceribell (CBLL) Inventory (2023 - 2026) Analysis & Trends
At the end of FY2025, Ceribell posted Inventory of $7.29 million, up 5.1% from FY2024.
- By year, Inventory came in at $6.94 million in FY2024 (+18.2%) and $5.87 million in FY2023.
- Five-year quarterly Inventory spans a low of $5.87 million in Q4 2023 and a high of $7.29 million in Q4 2025.
- Year over year, Inventory has now increased in each of the last four quarters, with growth averaging 7.3% over the last six quarters.
- Per Business Quant data, the three quarters before Q3 2026 came in at $6.74 million (Q2 2026), $6.9 million (Q1 2026) and $7.29 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 5.64 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 7.34 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 3.13 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 2.13 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 5.75 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 3.32 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 1.16 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Ceribell | 1.06 Bn | 514.27 Mn | 26.34 Mn | 6.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.96 Mn |
| Jun 30, 2026 | 6.74 Mn |
| Mar 31, 2026 | 6.90 Mn |
| Dec 31, 2025 | 7.29 Mn |
| Sep 30, 2025 | 6.02 Mn |
| Jun 30, 2025 | 6.00 Mn |
| Mar 31, 2025 | 6.55 Mn |
| Dec 31, 2024 | 6.94 Mn |
| Sep 30, 2024 | 6.91 Mn |
| Dec 31, 2023 | 5.87 Mn |
API Access
Ceribell Inventory 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=inventory&ticker=CBLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=CBLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();