Prenetics Global (PRE) Property, Plant & Equipment (Net) (2020 - 2026)
Prenetics Global (PRE) posted Property, Plant & Equipment (Net) of $753,000 for Q2 2026, down 72.6% from $2.74 million a year earlier but up 26.8% from the prior quarter.
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Analysis
Prenetics Global (PRE) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Prenetics Global's Property, Plant & Equipment (Net) came in at $1.76 million, down 77.4% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -17.8% (FY2020 to FY2025).
- In prior years, Prenetics Global's Property, Plant & Equipment (Net) was $7.81 million in FY2024 (+35.2%), $5.78 million in FY2023 (-55.9%), $13.1 million in FY2022 (+0.5%) and $13.04 million in FY2021 (+177.8%).
- Quarterly Property, Plant & Equipment (Net) has run from a low of $264,931 in Q4 2024 to a high of $13.89 million in Q1 2022 over five years.
- On a year-over-year basis, Property, Plant & Equipment (Net) increased in two of the last eight quarters, with an average decline of 35.4%.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q4 2021, with growth of 177.8%; the weakest was Q4 2024, with a decline of 95.4%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $594,000 (Q1 2026), $544,146 (Q4 2025) and $2.21 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 5.68 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 6.08 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 1.84 Bn |
| 10 | Prenetics Global | 292.77 Mn | 156.50 Mn | 30.20 Mn | 753,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 753,000.00 |
| Mar 31, 2026 | 594,000.00 |
| Dec 31, 2025 | 543,922.60 |
| Sep 30, 2025 | 2.21 Mn |
| Jun 30, 2025 | 2.74 Mn |
| Mar 31, 2025 | 3.26 Mn |
| Dec 31, 2024 | 265,295.40 |
| Sep 30, 2024 | 9.24 Mn |
| Jun 30, 2024 | 4.75 Mn |
| Mar 31, 2024 | 4.59 Mn |
| Dec 31, 2023 | 5.78 Mn |
| Sep 30, 2023 | 8.55 Mn |
| Jun 30, 2023 | 10.03 Mn |
| Mar 31, 2023 | 11.81 Mn |
| Dec 31, 2022 | 13.10 Mn |
| Sep 30, 2022 | 10.97 Mn |
| Jun 30, 2022 | 12.86 Mn |
| Mar 31, 2022 | 13.89 Mn |
| Dec 31, 2021 | 13.04 Mn |
| Dec 31, 2020 | 4.69 Mn |
API Access
Prenetics Global Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();