Prenetics Global (PRE) Assets (2021 - 2026)
Prenetics Global (PRE) posted Assets of $153.66 million for Q2 2026, down 22.8% from $199.11 million a year earlier and down 12.3% from the prior quarter.
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Analysis
Prenetics Global (PRE) Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Prenetics Global's Assets came in at $206.07 million, down 3.5% from FY2024.
- Annual Assets shows a four-year compound annual growth rate of 8.5% (FY2021 to FY2025).
- In prior years, Prenetics Global's Assets was $213.58 million in FY2024 (-16.0%), $254.17 million in FY2023, $16.3 million in FY2022 (-89.0%) and $148.51 million in FY2021.
- Quarterly Assets has run from a low of $16.3 million in Q4 2022 to a high of $291.04 million in Q1 2023 over five years.
- On a year-over-year basis, Assets has declined in each of the last ten quarters, with an average decline of 20.9% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q1 2023, with growth of 71.6%; the weakest was Q4 2022, with a decline of 89.0%.
- According to Business Quant data, Assets for the three prior quarters was $175.3 million (Q1 2026), $81.79 million (Q4 2025) and $196.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.16 Bn | 238.19 Bn | 4.88 Bn | 113.17 Bn |
| 2 | Abbott Laboratories | 170.80 Bn | 141.23 Bn | 7.27 Bn | 109.22 Bn |
| 3 | Danaher | 161.97 Bn | 145.78 Bn | 3.61 Bn | 92.37 Bn |
| 4 | Intuitive Surgical | 151.09 Bn | 130.52 Bn | 1.96 Bn | 20.88 Bn |
| 5 | Medtronic | 119.39 Bn | 84.64 Bn | 6.34 Bn | 93.31 Bn |
| 6 | Stryker | 113.83 Bn | 99.95 Bn | 4.50 Bn | 47.93 Bn |
| 7 | Boston Scientific | 65.34 Bn | 60.11 Bn | 3.85 Bn | 45.22 Bn |
| 8 | Becton Dickinson | 53.46 Bn | 50.61 Bn | 2.32 Bn | 50.73 Bn |
| 9 | Edwards Lifesciences | 50.71 Bn | 34.71 Bn | 1.35 Bn | 13.87 Bn |
| 10 | Prenetics Global | 253.08 Mn | 116.90 Mn | 30.20 Mn | 153.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.66 Mn |
| Mar 31, 2026 | 175.30 Mn |
| Dec 31, 2025 | 81.76 Mn |
| Sep 30, 2025 | 196.51 Mn |
| Jun 30, 2025 | 199.11 Mn |
| Mar 31, 2025 | 206.20 Mn |
| Dec 31, 2024 | 82.11 Mn |
| Sep 30, 2024 | 235.77 Mn |
| Jun 30, 2024 | 233.31 Mn |
| Mar 31, 2024 | 243.59 Mn |
| Dec 31, 2023 | 254.17 Mn |
| Sep 30, 2023 | 276.41 Mn |
| Jun 30, 2023 | 280.84 Mn |
| Mar 31, 2023 | 291.04 Mn |
| Dec 31, 2022 | 312.13 Mn |
| Sep 30, 2022 | 269.60 Mn |
| Jun 30, 2022 | 278.24 Mn |
| Mar 31, 2022 | 169.58 Mn |
| Dec 31, 2021 | 148.51 Mn |
API Access
Prenetics Global Assets 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=assets&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();