Prenetics Global (PRE) Change in Receivables (2025 - 2026)
Prenetics Global (PRE) recorded Change in Receivables of -$2.6 million in Q2 2026, compared with -$40,000 a year earlier.
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Analysis
Prenetics Global (PRE) Change in Receivables (2025 - 2026) Analysis & Trends
On a TTM basis, Prenetics Global's Change in Receivables came in at -$1.41 million as of Jun 30, 2026; for FY2025, it came in at $528,000, down 6.2% from FY2024.
- Annual Change in Receivables has a five-year compound annual growth rate of -51.7% (FY2020 to FY2025).
- Across earlier years, Change in Receivables came in at $563,000 in FY2024, -$37.63 million in FY2023, -$6.97 million in FY2022 and $24.05 million in FY2021 (+19.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 476.00 Mn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 160.00 Mn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 53.40 Mn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | -224.00 Mn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | -53.00 Mn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 69.00 Mn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 19.90 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | - |
| 10 | Prenetics Global | 251.88 Mn | -36.68 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.60 Mn |
| Mar 31, 2026 | 451,000.00 |
| Jun 30, 2025 | -40,000.00 |
| Mar 31, 2025 | 779,000.00 |
API Access
Prenetics Global Change in Receivables 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-receivables&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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-receivables&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();