Prenetics Global (PRE) Free Cash Flow (2025 - 2026)
Prenetics Global (PRE) recorded Free Cash Flow of -$15.8 million in Q2 2026, compared with -$5.28 million a year earlier.
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Analysis
Prenetics Global (PRE) Free Cash Flow (2025 - 2026) Analysis & Trends
On a TTM basis, Prenetics Global's Free Cash Flow came in at -$55.02 million as of Jun 30, 2026; for FY2025, it came in at -$3.71 million.
- Across earlier years, Free Cash Flow came in at -$27.87 million in FY2024, -$13.42 million in FY2023, $19.46 million in FY2022 (-11.4%) and $21.96 million in FY2021.
- Quarterly Free Cash Flow has ranged from -$27.87 million in Q4 2024 to $8.55 million in Q4 2021 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.37 Bn | 237.40 Bn | 4.88 Bn | 1.68 Bn |
| 2 | Abbott Laboratories | 171.72 Bn | 142.15 Bn | 7.27 Bn | 1.99 Bn |
| 3 | Danaher | 163.12 Bn | 146.93 Bn | 3.61 Bn | 1.27 Bn |
| 4 | Intuitive Surgical | 151.53 Bn | 130.96 Bn | 1.96 Bn | 948.40 Mn |
| 5 | Medtronic | 119.77 Bn | 85.02 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 113.80 Bn | 99.91 Bn | 4.50 Bn | 1.06 Bn |
| 7 | Boston Scientific | 65.39 Bn | 60.16 Bn | 3.85 Bn | 1.28 Bn |
| 8 | Becton Dickinson | 53.54 Bn | 50.69 Bn | 2.32 Bn | 633.00 Mn |
| 9 | Edwards Lifesciences | 50.81 Bn | 34.82 Bn | 1.35 Bn | 585.00 Mn |
| 10 | Prenetics Global | 250.69 Mn | 114.51 Mn | 30.20 Mn | -15.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15.80 Mn |
| Mar 31, 2026 | -12.12 Mn |
| Dec 31, 2025 | -18.29 Mn |
| Jun 30, 2025 | -5.28 Mn |
| Mar 31, 2025 | -3.98 Mn |
API Access
Prenetics Global Free Cash Flow 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=free-cash-flow&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();