Prenetics Global (PRE) Assets (2021 - 2026)
Analysis
Prenetics Global (PRE) Assets (2021 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 114.23 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 108.25 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 93.28 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 19.35 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 93.31 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 47.25 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 45.46 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 14.14 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 50.73 Bn |
| 10 | Prenetics Global | 251.88 Mn | -36.68 Mn | - | 81.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.66 Mn |
| Mar 31, 2026 | 175.30 Mn |
| Dec 31, 2025 | 81.76 Mn |
| Sep 30, 2025 | 196.51 Mn |
| Jun 30, 2025 | 199.11 Mn |
| Mar 31, 2025 | 206.20 Mn |
| Dec 31, 2024 | 82.11 Mn |
| Sep 30, 2024 | 235.77 Mn |
| Jun 30, 2024 | 233.31 Mn |
| Mar 31, 2024 | 243.59 Mn |
| Dec 31, 2023 | 254.17 Mn |
| Sep 30, 2023 | 276.41 Mn |
| Jun 30, 2023 | 280.84 Mn |
| Mar 31, 2023 | 291.04 Mn |
| Dec 31, 2022 | 312.13 Mn |
| Sep 30, 2022 | 269.60 Mn |
| Jun 30, 2022 | 278.24 Mn |
| Mar 31, 2022 | 169.58 Mn |
| Dec 31, 2021 | 148.51 Mn |
API Access
Prenetics Global Assets 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=assets&ticker=PRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "PRE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=assets&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();