Prenetics Global (PRE) EBITDA Margin (2021 - 2026)
Prenetics Global (PRE) posted EBITDA Margin of -45.09% for Q2 2026, up 21.26 percentage points from -66.35% a year earlier but down 20.50 percentage points from the prior quarter.
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Analysis
Prenetics Global (PRE) EBITDA Margin (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Prenetics Global was -35.16%, up 158.16 percentage points year-over-year; for FY2025, it came in at 0.82%, up 216.42 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +0.61 percentage points (FY2020 to FY2025).
- In prior years, Prenetics Global's EBITDA Margin was -215.60% in FY2024 (+373.86 pp), -589.46% in FY2023 (-100.67 pp), -488.79% in FY2022 (-61.08 pp) and -427.71% in FY2021 (-427.92 pp).
- Quarterly EBITDA Margin has run from a low of -2484.58% in Q4 2022 to a high of -4.50% in Q3 2021 over five years.
- On a year-over-year basis, EBITDA Margin has increased in each of the last three quarters, with an average year-over-year change of +138.87 percentage points over the last six quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q4 2023, with a gain of 1713.56 percentage points; the weakest was Q4 2022, with a drop of 2022.21 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 28.17% |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 24.62% |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 31.93% |
| 10 | Prenetics Global | 236.64 Mn | 100.46 Mn | 30.20 Mn | -44.71% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -44.71% |
| Mar 31, 2026 | -63.88% |
| Dec 31, 2025 | -14.07% |
| Sep 30, 2025 | -23.63% |
| Jun 30, 2025 | -48.72% |
| Mar 31, 2025 | -102.14% |
| Dec 31, 2024 | -133.90% |
| Sep 30, 2024 | -197.11% |
| Mar 31, 2024 | -83.46% |
| Dec 31, 2023 | -223.55% |
| Sep 30, 2023 | -184.39% |
| Jun 30, 2023 | -156.14% |
| Mar 31, 2023 | -265.93% |
| Dec 31, 2022 | -393.20% |
| Sep 30, 2022 | -383.03% |
| Jun 30, 2022 | -539.21% |
| Mar 31, 2022 | 1.74% |
| Dec 31, 2021 | -42.88% |
| Mar 31, 2021 | 21.21% |
API Access
Prenetics Global EBITDA 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=ebitda-margin&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();