Prenetics Global (PRE) FCF Margin (2025 - 2026)
Prenetics Global's FCF Margin was -33.98% in Q2 2026, up 10.15 percentage points from -44.12% a year earlier but down 0.26 percentage points from the prior quarter.
Prenetics Global (PRE) FCF Margin (2025 - 2026) Analysis & Trends
On a trailing twelve-month basis, Prenetics Global's FCF Margin was -27.69% through Jun 30, 2026; for FY2025, it was -23.85%, up 163.65 percentage points from FY2024.
- FCF Margin shows a five-year change of -15.04 percentage points (FY2020 to FY2025).
- In earlier years, FCF Margin was -187.50% in FY2024 (+41.74 pp), -229.24% in FY2023 (-301.92 pp), 72.68% in FY2022 (+33.82 pp) and 38.85% in FY2021 (+47.67 pp).
- Quarterly FCF Margin has moved between -48.06% (Q1 2025) and -22.89% (Q4 2025) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 17.41% |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 9.41% |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 24.89% |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 36.44% |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 13.22% |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 18.77% |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 16.89% |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 29.54% |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 12.70% |
| 10 | Prenetics Global | 251.88 Mn | -36.68 Mn | - | -22.89% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -33.98% |
| Mar 31, 2026 | -33.72% |
| Dec 31, 2025 | -22.89% |
| Jun 30, 2025 | -44.12% |
| Mar 31, 2025 | -48.06% |
Prenetics Global FCF 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=fcf-margin&ticker=PRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-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=fcf-margin&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();