Cuprina Holdings (Cayman) (CUPR) Shares Outstanding (2023 - 2025)
Cuprina Holdings (Cayman)'s Shares Outstanding came in at 2.56 million for Q4 2025, up 13.7% from 2.25 million a year earlier.
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Analysis
Cuprina Holdings (Cayman) (CUPR) Shares Outstanding (2023 - 2025) Analysis & Trends
Going back to Q4 2023, Cuprina Holdings (Cayman)'s Shares Outstanding data covers 4 quarters.
- Shares Outstanding carries a three-year compound annual growth rate of 4.4% (FY2022 to FY2025).
- Going back by year, Shares Outstanding was 2.25 million in FY2024 (unchanged), 2.25 million in FY2023 (unchanged) and 2.25 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 705.30 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 354.10 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 383.50 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 576.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 274.79 Mn |
| 10 | Cuprina Holdings (Cayman) | 5.83 Mn | -549,606.20 | - | 2.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.56 Mn |
| Jun 30, 2025 | 2.25 Mn |
| Dec 31, 2024 | 2.25 Mn |
| Dec 31, 2023 | 2.25 Mn |
API Access
Cuprina Holdings (Cayman) Shares Outstanding 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=shares-outstanding&ticker=CUPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=CUPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();