Prenetics Global (PRE) Cash & Equivalents (2020 - 2026)
Prenetics Global's Cash & Equivalents was $59.05 million in Q2 2026, up 168.3% from $22.01 million a year earlier and up 5.4% from the prior quarter.
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Analysis
Prenetics Global (PRE) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Prenetics Global came in at $32.13 million, down 38.5% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 17.3% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $52.25 million in FY2024 (+14.3%), $45.71 million in FY2023 (-68.8%), $146.66 million in FY2022 (+315.6%) and $35.29 million in FY2021 (+143.5%).
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents since Q2 2023.
- Compared with a year earlier, Cash & Equivalents was higher in three of the last eight quarters, with an average decline of 6.3%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2023 (growth of 385.7%); the worst was Q4 2025 (a decline of 84.0%).
- Per Business Quant data, PRE's Cash & Equivalents in the three quarters before Q2 2026 was $56.02 million (Q1 2026), $7.85 million (Q4 2025) and $13.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn | 708.00 Mn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn | 2.91 Bn |
| 10 | Prenetics Global | 279.60 Mn | 143.34 Mn | 30.20 Mn | 59.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.05 Mn |
| Mar 31, 2026 | 56.02 Mn |
| Dec 31, 2025 | 7.84 Mn |
| Sep 30, 2025 | 13.26 Mn |
| Jun 30, 2025 | 17.25 Mn |
| Mar 31, 2025 | 43.15 Mn |
| Dec 31, 2024 | 49.22 Mn |
| Sep 30, 2024 | 31.94 Mn |
| Jun 30, 2024 | 41.20 Mn |
| Mar 31, 2024 | 54.52 Mn |
| Dec 31, 2023 | 45.71 Mn |
| Sep 30, 2023 | 55.25 Mn |
| Jun 30, 2023 | 177.18 Mn |
| Mar 31, 2023 | 166.34 Mn |
| Dec 31, 2022 | 146.66 Mn |
| Sep 30, 2022 | 144.69 Mn |
| Jun 30, 2022 | 134.38 Mn |
| Mar 31, 2022 | 34.25 Mn |
| Dec 31, 2021 | 35.29 Mn |
| Dec 31, 2020 | 14.49 Mn |
API Access
Prenetics Global Cash & Equivalents 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=cash-and-equivalents&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();