Prenetics Global (PRE) Change in Account Payables (2025 - 2026)
Prenetics Global (PRE) posted Change in Account Payables of -$930,000 for Q2 2026, compared with $1.77 million a year earlier.
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Analysis
Prenetics Global (PRE) Change in Account Payables (2025 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Account Payables at Prenetics Global was $125,000; for FY2025, it was $331,000.
- Annual Change in Account Payables shows a five-year compound annual growth rate of -49.1% (FY2020 to FY2025).
- In prior years, Prenetics Global's Change in Account Payables was -$4.68 million in FY2024, -$5.62 million in FY2023, -$2.63 million in FY2022 and -$3.46 million in FY2021.
- Quarterly Change in Account Payables has run from a low of -$5.62 million in Q4 2023 to a high of $1.77 million in Q2 2025 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | - |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | -38.00 Mn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | -52.50 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 71.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Prenetics Global | 236.64 Mn | 100.46 Mn | 30.20 Mn | -930,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -930,000.00 |
| Mar 31, 2026 | -1.18 Mn |
| Jun 30, 2025 | 1.77 Mn |
| Mar 31, 2025 | 469,000.00 |
API Access
Prenetics Global Change in Account Payables 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-account-payables&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-account-payables", "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-account-payables&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();