Prenetics Global (PRE) Net Margin (2021 - 2026)
Prenetics Global's Net Margin came in at -19.15% for Q2 2026, up 82.65 percentage points from -101.81% a year earlier and up 46.13 percentage points from the prior quarter.
Prenetics Global (PRE) Net Margin (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Prenetics Global reported Net Margin of -56.56%, up 206.58 percentage points year-over-year; for FY2025, it was -43.27%, up 269.27 percentage points from FY2024.
- Net Margin has increased in each of the last three years, though with a five-year change of -40.29 percentage points (FY2020 to FY2025).
- Going back by year, Net Margin was -312.54% in FY2024 (+739.89 pp), -1052.43% in FY2023 (+394.35 pp), -1446.78% in FY2022 (-60.42 pp) and -1386.36% in FY2021 (-1383.39 pp).
- The Q2 2026 figure represents the highest quarterly Net Margin since Q2 2021.
- Year-over-year, Net Margin has increased for four consecutive quarters, with an average year-over-year change of +208.01 percentage points over the last seven quarters.
- The fastest year-over-year change in Net Margin over five years came in Q4 2023 (a gain of 5704.02 percentage points), and the weakest in Q4 2022 (a drop of 5479.22 percentage points).
- Business Quant data shows PRE's Net Margin at -65.28% (Q1 2026), -113.28% (Q4 2025) and -36.91% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.28 Bn | 236.31 Bn | 4.88 Bn | 14.47% |
| 2 | Abbott Laboratories | 171.27 Bn | 141.70 Bn | 7.27 Bn | 7.37% |
| 3 | Danaher | 162.70 Bn | 146.51 Bn | 3.61 Bn | 13.89% |
| 4 | Intuitive Surgical | 151.73 Bn | 131.15 Bn | 1.96 Bn | 28.29% |
| 5 | Medtronic | 119.67 Bn | 84.93 Bn | 6.34 Bn | 15.07% |
| 6 | Stryker | 114.00 Bn | 100.12 Bn | 4.50 Bn | 19.37% |
| 7 | Boston Scientific | 65.33 Bn | 60.10 Bn | 3.85 Bn | 16.67% |
| 8 | Becton Dickinson | 53.51 Bn | 50.66 Bn | 2.32 Bn | 7.57% |
| 9 | Edwards Lifesciences | 50.94 Bn | 34.94 Bn | 1.35 Bn | 13.89% |
| 10 | Prenetics Global | 249.00 Mn | 112.83 Mn | 30.20 Mn | -19.15% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19.15% |
| Mar 31, 2026 | -65.28% |
| Dec 31, 2025 | -39.14% |
| Sep 30, 2025 | -31.45% |
| Jun 30, 2025 | -101.81% |
| Mar 31, 2025 | -125.56% |
| Dec 31, 2024 | -249.02% |
| Sep 30, 2024 | -290.59% |
| Mar 31, 2024 | -140.36% |
| Dec 31, 2023 | -345.88% |
| Sep 30, 2023 | -286.96% |
| Jun 30, 2023 | -307.74% |
| Mar 31, 2023 | -213.16% |
| Dec 31, 2022 | -6,865.58% |
| Sep 30, 2022 | -412.65% |
| Jun 30, 2022 | -3,547.81% |
| Mar 31, 2022 | -36.41% |
| Dec 31, 2021 | -268.48% |
| Sep 30, 2021 | -107.71% |
| Jun 30, 2021 | -12.55% |
Prenetics Global Net Margin 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=net-margin&ticker=PRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();