Ceribell (CBLL) Price to Sales (2024 - 2026)
Ceribell's Price to Sales was 8.71 in Q3 2026, up 69.5% from 5.14 a year earlier and up 19.5% from the prior quarter.
Analysis
Ceribell (CBLL) Price to Sales (2024 - 2026) Analysis & Trends
For FY2025, Price to Sales at Ceribell came in at 9.23, up 95.3% from FY2024.
- In earlier years, Price to Sales was 4.73 in FY2024.
- Quarterly Price to Sales has moved between 4.73 (Q4 2024) and 9.64 (Q1 2025) over five years.
- Compared with a year earlier, Price to Sales was higher in two of the last four quarters, with growth averaging 30.7%.
- Per Business Quant data, CBLL's Price to Sales in the three quarters before Q3 2026 was 7.29 (Q2 2026), 7.30 (Q1 2026) and 9.23 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Ceribell | 1.07 Bn | 519.62 Mn | 26.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.71 |
| Jun 30, 2026 | 7.29 |
| Mar 31, 2026 | 7.30 |
| Dec 31, 2025 | 9.23 |
| Sep 30, 2025 | 5.14 |
| Jun 30, 2025 | 8.85 |
| Mar 31, 2025 | 9.64 |
| Dec 31, 2024 | 4.73 |
API Access
Ceribell Price to Sales 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=price-to-sales&ticker=CBLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=CBLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();