Prenetics Global (PRENW) Assets (2021 - 2026)
Analysis
Prenetics Global (PRENW) Assets (2021 - 2026) Analysis & Trends
Peer Set
Peer Comparison
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=PRENW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "PRENW", "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=PRENW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();