Prenetics Global (PRE) Non Operating Interest Expenses (2021 - 2022)
Prenetics Global (PRE) posted Non Operating Interest Expenses of $7,621 for FY2025, down 60.0% from $19,031 in FY2024.
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Analysis
Prenetics Global (PRE) Non Operating Interest Expenses (2021 - 2022) Analysis & Trends
Since FY2021, Prenetics Global has reported Non Operating Interest Expenses for 5 years.
- Annual Non Operating Interest Expenses has run from a low of -$5.24 million in FY2021 to a high of $19,031 in FY2024 over five years.
- Business Quant data shows PRE's Non Operating Interest Expenses at $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) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 132.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Prenetics Global | 236.64 Mn | 100.46 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 Non Operating 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=non-operating-interest-expenses&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();