Prenetics Global (PRE) Change in Cash (2023 - 2026)
Prenetics Global (PRE) reported Change in Cash of $3.03 million for Q2 2026, compared with -$25.61 million a year earlier and down 87.4% from the prior quarter.
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Analysis
Prenetics Global (PRE) Change in Cash (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Prenetics Global's Change in Cash came in at -$2.78 million; for FY2025, it was -$20.05 million.
- By year, Change in Cash came in at $6.32 million in FY2024, -$101.42 million in FY2023, $111.69 million in FY2022 (+439.2%) and $20.71 million in FY2021 (+593.1%).
- Five-year quarterly Change in Cash spans a low of -$101.42 million in Q4 2023 and a high of $24.03 million in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 1.40 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | -1.05 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 1.33 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 216.70 Mn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | -258.00 Mn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | -120.00 Mn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 44.00 Mn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 202.70 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | -152.00 Mn |
| 10 | Prenetics Global | 251.88 Mn | -36.68 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.03 Mn |
| Mar 31, 2026 | 24.03 Mn |
| Jun 30, 2025 | -25.61 Mn |
| Mar 31, 2025 | -4.23 Mn |
| Dec 31, 2023 | -101.42 Mn |
API Access
Prenetics Global Change in Cash 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=change-in-cash&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();