Prenetics Global (PRE) Revenue (2021 - 2026)
Analysis
Prenetics Global (PRE) Revenue (2021 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 12.14 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 13.01 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 6.55 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 3.05 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 6.52 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 5.14 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 1.72 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 4.98 Bn |
| 10 | Prenetics Global | 251.88 Mn | -36.68 Mn | - | 79.92 Mn |
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=PRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();