Prenetics Global (PRE) Payables (2021 - 2026)
Prenetics Global (PRE) recorded Payables of $1.03 million in Q2 2026, down 79.2% from $4.96 million a year earlier and down 47.5% from the prior quarter.
Powered by 
Analysis
Prenetics Global (PRE) Payables (2021 - 2026) Analysis & Trends
At the end of FY2025, Prenetics Global reported Payables of $163,897, down 95.5% from FY2024.
- Annual Payables has a four-year compound annual growth rate of -64.2% (FY2021 to FY2025).
- Across earlier years, Payables came in at $3.67 million in FY2024 (+119.5%), $1.67 million in FY2023 (-52.4%), $3.51 million in FY2022 (-64.9%) and $9.98 million in FY2021.
- Quarterly Payables has ranged from $164,281 in Q4 2025 to $18.82 million in Q3 2022 over the past five years.
- On a year-over-year basis, Payables has declined for four consecutive quarters, with growth averaging 20.2% over the last eight quarters.
- Peak year-over-year performance for Payables in the last five years was growth of 192.8% in Q2 2025, against a decline of 81.3% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.96 million (Q1 2026), $164,281 (Q4 2025) and $5.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 5.89 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 2.00 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 210.50 Mn |
| 10 | Prenetics Global | 263.34 Mn | 127.16 Mn | 30.20 Mn | 1.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Mn |
| Mar 31, 2026 | 1.96 Mn |
| Dec 31, 2025 | 164,213.57 |
| Sep 30, 2025 | 5.92 Mn |
| Jun 30, 2025 | 4.96 Mn |
| Mar 31, 2025 | 3.36 Mn |
| Dec 31, 2024 | 346,818.16 |
| Sep 30, 2024 | 8.74 Mn |
| Jun 30, 2024 | 1.69 Mn |
| Mar 31, 2024 | 1.64 Mn |
| Dec 31, 2023 | 1.67 Mn |
| Sep 30, 2023 | 3.51 Mn |
| Jun 30, 2023 | 4.23 Mn |
| Mar 31, 2023 | 7.51 Mn |
| Dec 31, 2022 | 7.29 Mn |
| Sep 30, 2022 | 9.08 Mn |
| Jun 30, 2022 | 8.57 Mn |
| Mar 31, 2022 | 14.22 Mn |
| Dec 31, 2021 | 9.98 Mn |
API Access
Prenetics Global 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=payables&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();