Prenetics Global (PRENW) Revenue (2021 - 2026)
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Analysis
Prenetics Global (PRENW) Revenue (2021 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.49 Mn |
| Mar 31, 2026 | 35.95 Mn |
| Dec 31, 2025 | 79.92 Mn |
| Sep 30, 2025 | 23.56 Mn |
| Jun 30, 2025 | 11.96 Mn |
| Mar 31, 2025 | 8.28 Mn |
| Dec 31, 2024 | 6.56 Mn |
| Sep 30, 2024 | 3.53 Mn |
| Jun 30, 2024 | 2.54 Mn |
| Mar 31, 2024 | 6.41 Mn |
| Dec 31, 2023 | 5.40 Mn |
| Sep 30, 2023 | 4.88 Mn |
| Jun 30, 2023 | 6.51 Mn |
| Mar 31, 2023 | 4.92 Mn |
| Dec 31, 2022 | 2.84 Mn |
| Sep 30, 2022 | 4.30 Mn |
| Jun 30, 2022 | 4.18 Mn |
| Mar 31, 2022 | 92.04 Mn |
| Dec 31, 2021 | 64.72 Mn |
| Sep 30, 2021 | 74.66 Mn |
API Access
Prenetics Global Revenue 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=revenue&ticker=PRENW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PRENW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();