Prenetics Global (PRE) Non-Current Assets (2021 - 2026)
Prenetics Global (PRE) reported Non-Current Assets of $5.98 million for Q2 2026, down 94.0% from $99.74 million a year earlier and down 86.2% from the prior quarter.
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Analysis
Prenetics Global (PRE) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Prenetics Global posted Non-Current Assets of $120.88 million, down 5.1% from FY2024.
- Non-Current Assets has a four-year compound annual growth rate of 30.5% (FY2021 to FY2025).
- By year, Non-Current Assets came in at $127.43 million in FY2024 (-20.6%), $160.51 million in FY2023 (+128.3%), $70.32 million in FY2022 (+69.0%) and $41.61 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Assets in data going back to Q4 2021.
- Year over year, Non-Current Assets has now declined in each of the last eight quarters, with an average decline of 36.1% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q3 2023 (growth of 777.6%); the low point was Q2 2026 (a decline of 94.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $43.19 million (Q1 2026), $120.88 million (Q4 2025) and $106.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 88.62 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 84.75 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 78.49 Bn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 10.92 Bn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 33.06 Bn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 37.30 Bn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 6.90 Bn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Prenetics Global | 251.88 Mn | -36.68 Mn | - | 1.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.98 Mn |
| Mar 31, 2026 | 43.19 Mn |
| Dec 31, 2025 | 120.88 Mn |
| Sep 30, 2025 | 106.73 Mn |
| Jun 30, 2025 | 99.74 Mn |
| Mar 31, 2025 | 80.42 Mn |
| Dec 31, 2024 | 127.43 Mn |
| Sep 30, 2024 | 166.65 Mn |
| Jun 30, 2024 | 154.61 Mn |
| Mar 31, 2024 | 157.00 Mn |
| Dec 31, 2023 | 160.51 Mn |
| Sep 30, 2023 | 171.23 Mn |
| Jun 30, 2023 | 66.34 Mn |
| Mar 31, 2023 | 66.94 Mn |
| Dec 31, 2022 | 70.32 Mn |
| Sep 30, 2022 | 19.51 Mn |
| Jun 30, 2022 | 47.07 Mn |
| Mar 31, 2022 | 42.32 Mn |
| Dec 31, 2021 | 41.61 Mn |
API Access
Prenetics Global Non-Current 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=non-current-assets&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();