Prenetics Global (PRE) Operating Margin (2021 - 2026)
Prenetics Global (PRE) reported Operating Margin of -45.13% for Q2 2026, up 26.55 percentage points from -71.67% a year earlier and up 19.34 percentage points from the prior quarter.
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Analysis
Prenetics Global (PRE) Operating Margin (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Prenetics Global's Operating Margin came in at -33.26%, up 103.39 percentage points year-over-year; for FY2025, it came in at -48.14%, up 179.46 percentage points from FY2024.
- Operating Margin has a five-year change of -46.62 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at -227.60% in FY2024 (+396.99 pp), -624.60% in FY2023 (-123.06 pp), -501.53% in FY2022 (-49.42 pp) and -452.11% in FY2021 (-450.58 pp).
- Five-year quarterly Operating Margin spans a low of -544.72% in Q2 2022 and a high of -0.60% in Q1 2022.
- Year over year, Operating Margin has now increased in each of the last four quarters, with an average year-over-year change of +87.76 percentage points over the last seven quarters.
- The high point for year-over-year Operating Margin in five years was Q2 2023 (a gain of 316.65 percentage points); the low point was Q2 2022 (a drop of 563.47 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -64.46% (Q1 2026), -14.41% (Q4 2025) and -26.17% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 18.65% |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 10.44% |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 19.00% |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 15.86% |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 16.12% |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 17.44% |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 13.31% |
| 10 | Prenetics Global | 251.88 Mn | -36.68 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -45.13% |
| Mar 31, 2026 | -73.00% |
| Dec 31, 2025 | -14.41% |
| Sep 30, 2025 | -26.17% |
| Jun 30, 2025 | -71.67% |
| Mar 31, 2025 | -72.16% |
| Dec 31, 2024 | -187.12% |
| Sep 30, 2024 | -269.76% |
| Jun 30, 2024 | -322.41% |
| Mar 31, 2024 | -142.83% |
| Dec 31, 2023 | -284.66% |
| Sep 30, 2023 | -265.29% |
| Jun 30, 2023 | -228.07% |
| Mar 31, 2023 | -302.42% |
| Dec 31, 2022 | -411.69% |
| Sep 30, 2022 | -396.18% |
| Jun 30, 2022 | -544.72% |
| Mar 31, 2022 | -0.60% |
| Dec 31, 2021 | -47.52% |
| Sep 30, 2021 | -7.15% |
API Access
Prenetics Global Operating 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=operating-margin&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();