Prenetics Global (PRE) Interest Expenses (2021 - 2022)
Prenetics Global (PRE) recorded Interest Expenses of $7,621 in FY2025, down 60.0% from $19,031 in FY2024.
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Analysis
Prenetics Global (PRE) Interest Expenses (2021 - 2022) Analysis & Trends
Starting with FY2021, Prenetics Global's Interest Expenses history includes 5 years.
- Annual Interest Expenses has ranged from -$5.24 million in FY2021 to $19,031 in FY2024 over the past five years.
- Per Business Quant data, PRE's Interest Expenses was $19,031 in FY2024, -$1.06 million in FY2023, -$853,998 in FY2022 and -$5.24 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.97 Bn | 237.00 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 172.03 Bn | 142.46 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 151.53 Bn | 130.95 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.78 Bn | 85.03 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 113.85 Bn | 99.97 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 65.31 Bn | 60.07 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 53.50 Bn | 50.65 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 50.87 Bn | 34.88 Bn | 1.35 Bn | - |
| 10 | Prenetics Global | 250.69 Mn | 114.51 Mn | 30.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -316,089.00 |
| Mar 31, 2022 | -2.49 Mn |
| Dec 31, 2021 | -2.46 Mn |
| Mar 31, 2021 | -35.09 Mn |
API Access
Prenetics Global Interest Expenses 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=interest-expenses&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();