Cuprina Holdings (Cayman) (CUPR) Total Liabilities (2023 - 2025)
Cuprina Holdings (Cayman) (CUPR) recorded Total Liabilities of $3.45 million in Q4 2025, down 26.1% from $4.66 million a year earlier.
Analysis
Cuprina Holdings (Cayman) (CUPR) Total Liabilities (2023 - 2025) Analysis & Trends
Starting with Q4 2023, Cuprina Holdings (Cayman)'s Total Liabilities history includes 4 quarters.
- Across earlier years, Total Liabilities came in at $4.64 million in FY2024 (+39.1%) and $3.34 million in FY2023.
- Quarterly Total Liabilities has ranged from $2.42 million in Q2 2025 to $4.66 million in Q4 2024 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Cuprina Holdings (Cayman) | 5.19 Mn | -1.19 Mn | - | 3.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.45 Mn |
| Jun 30, 2025 | 2.42 Mn |
| Dec 31, 2024 | 4.66 Mn |
| Dec 31, 2023 | 3.32 Mn |
API Access
Cuprina Holdings (Cayman) Total Liabilities 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=total-liabilities&ticker=CUPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CUPR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=CUPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();