Prenetics Global (PRE) Other Non-Current Assets (2021 - 2026)
Prenetics Global (PRE) posted Other Non-Current Assets of $562,000 for Q2 2026, up 25.2% from $449,000 a year earlier but down 89.6% from the prior quarter.
Prenetics Global (PRE) Other Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Prenetics Global's Other Non-Current Assets came in at $6.68 million, up 393.9% from FY2024.
- Annual Other Non-Current Assets has increased for three consecutive years, with a four-year compound annual growth rate of 76.2% (FY2021 to FY2025).
- In prior years, Prenetics Global's Other Non-Current Assets was $1.35 million in FY2024 (+82.0%), $743,000 in FY2023 (+336.5%), $170,226 in FY2022 (-75.5%) and $693,548 in FY2021.
- Quarterly Other Non-Current Assets has run from a low of $170,226 in Q4 2022 to a high of $6.68 million in Q4 2025 over five years.
- On a year-over-year basis, Other Non-Current Assets increased in four of the last seven quarters, with growth averaging 56.3%.
- The strongest year-over-year quarter for Other Non-Current Assets in the past five years was Q4 2025, with growth of 393.9%; the weakest was Q4 2022, with a decline of 75.5%.
- According to Business Quant data, Other Non-Current Assets for the three prior quarters was $5.42 million (Q1 2026), $6.68 million (Q4 2025) and $452,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 5.62 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | - |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 4.39 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 4.32 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 3.23 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 46.62 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.55 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 616.40 Mn |
| 10 | Prenetics Global | 236.64 Mn | 100.46 Mn | 30.20 Mn | 562,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 562,000.00 |
| Mar 31, 2026 | 5.42 Mn |
| Dec 31, 2025 | 6.68 Mn |
| Sep 30, 2025 | 452,000.00 |
| Jun 30, 2025 | 449,000.00 |
| Mar 31, 2025 | 451,000.00 |
| Dec 31, 2024 | 1.35 Mn |
| Sep 30, 2024 | 1.11 Mn |
| Jun 30, 2024 | 968,525.00 |
| Mar 31, 2024 | 948,811.00 |
| Dec 31, 2023 | 743,000.00 |
| Sep 30, 2023 | 700,710.00 |
| Jun 30, 2023 | 741,816.00 |
| Mar 31, 2023 | 1.06 Mn |
| Dec 31, 2022 | 1.29 Mn |
| Sep 30, 2022 | 334,524.00 |
| Jun 30, 2022 | 449,651.00 |
| Mar 31, 2022 | 637,816.00 |
| Dec 31, 2021 | 693,548.00 |
Prenetics Global Other 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=other-non-current-assets&ticker=PRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();