Prenetics Global (PRE) Other financing activities (2025 - 2026)
Prenetics Global (PRE) reported Other financing activities of $32.13 million for FY2025, down 38.5% from $52.25 million in FY2024.
Analysis
Prenetics Global (PRE) Other financing activities (2025 - 2026) Analysis & Trends
Dating back to FY2020, Prenetics Global's Other financing activities record includes 6 years.
- Other financing activities has a five-year compound annual growth rate of 17.3% (FY2020 to FY2025).
- The FY2025 figure ranks as the lowest annual Other financing activities since FY2020.
- According to Business Quant data, Other financing activities came in at $52.25 million in FY2024 (+14.3%), $45.71 million in FY2023 (-68.8%), $146.66 million in FY2022 (+315.6%) and $35.29 million in FY2021 (+143.5%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Prenetics Global | 263.34 Mn | 127.16 Mn | 30.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -110,000.00 |
| Mar 31, 2026 | -142,000.00 |
| Jun 30, 2025 | -582,000.00 |
| Mar 31, 2025 | -622,000.00 |
API Access
Prenetics Global Other financing activities 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=other-financing-activities&ticker=PRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-financing-activities", "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=other-financing-activities&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();