Ceribell (CBLL) Payables (2023 - 2026)
Ceribell's Payables was $3.19 million in Q2 2026, up 30.5% from $2.44 million a year earlier and up 60.8% from the prior quarter.
Analysis
Ceribell (CBLL) Payables (2023 - 2026) Analysis & Trends
At the end of FY2025, Payables at Ceribell came in at $2.84 million, up 148.3% from FY2024.
- In earlier years, Payables was $1.14 million in FY2024 (-90.9%) and $12.57 million in FY2023.
- The Q2 2026 figure marks the highest quarterly Payables since Q4 2023.
- Compared with a year earlier, Payables has increased for three straight quarters, with growth averaging 22.2% over the last five quarters.
- Per Business Quant data, CBLL's Payables in the three quarters before Q2 2026 was $1.98 million (Q1 2026), $2.84 million (Q4 2025) and $2.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 5.89 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 2.00 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 210.50 Mn |
| 10 | Ceribell | 1.03 Bn | 432.80 Mn | 25.94 Mn | 3.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.19 Mn |
| Mar 31, 2026 | 1.98 Mn |
| Dec 31, 2025 | 2.84 Mn |
| Sep 30, 2025 | 2.18 Mn |
| Jun 30, 2025 | 2.44 Mn |
| Mar 31, 2025 | 1.37 Mn |
| Dec 31, 2024 | 1.14 Mn |
| Sep 30, 2024 | 2.78 Mn |
| Dec 31, 2023 | 12.57 Mn |
API Access
Ceribell Payables 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=payables&ticker=CBLL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=CBLL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();