Prenetics Global (PRE) Change in Accured Expenses (2025 - 2026)
Prenetics Global (PRE) posted Change in Accured Expenses of $10.52 million for Q2 2026, up 776.1% from $1.2 million a year earlier.
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Analysis
Prenetics Global (PRE) Change in Accured Expenses (2025 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Prenetics Global was $12.29 million; for FY2025, it came in at $15.55 million.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- In prior years, Prenetics Global's Change in Accured Expenses was $854,000 in FY2024, -$7.42 million in FY2023, -$24.39 million in FY2022 and $27.35 million in FY2021 (+358.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.85 Bn | 227.88 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 179.99 Bn | 150.42 Bn | 7.27 Bn | - |
| 3 | Danaher | 160.09 Bn | 143.90 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 157.97 Bn | 138.26 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 122.84 Bn | 88.09 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 118.03 Bn | 104.15 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 66.79 Bn | 61.56 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Becton Dickinson | 54.76 Bn | 51.91 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.74 Bn | 35.75 Bn | 1.35 Bn | 123.70 Mn |
| 10 | Prenetics Global | 248.44 Mn | 112.27 Mn | 30.20 Mn | 10.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.52 Mn |
| Mar 31, 2026 | -358,000.00 |
| Jun 30, 2025 | 1.20 Mn |
| Mar 31, 2025 | 926,000.00 |
API Access
Prenetics Global Change in Accured 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=change-in-accured-expenses&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();