Prenetics Global (PRE) Shares Outstanding (Diluted) (2020 - 2026)
Prenetics Global's Shares Outstanding (Diluted) came in at 14.05 million for Q2 2026, up 12.5% from 12.49 million a year earlier and unchanged from the prior quarter.
Prenetics Global (PRE) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
Going back to Q4 2020, Prenetics Global's Shares Outstanding (Diluted) data covers 23 quarters.
- Shares Outstanding (Diluted) has increased in each of the last three years, with a five-year compound annual growth rate of 83.0% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 12.49 million in FY2024 (+11.1%), 11.25 million in FY2023 (+121.8%), 5.07 million in FY2022 (-24.9%) and 6.75 million in FY2021 (+885.8%).
- Year-over-year, Shares Outstanding (Diluted) has increased for 11 consecutive quarters, with growth averaging 25.5% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q3 2022 (growth of 885.8%), and the weakest in Q4 2022 (a decline of 24.9%).
- Business Quant data shows PRE's Shares Outstanding (Diluted) at 14.05 million (Q1 2026), 14.05 million (Q4 2025) and 12.49 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 275.16 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 577.60 Mn |
| 10 | Prenetics Global | 236.64 Mn | 100.46 Mn | 30.20 Mn | 14.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.05 Mn |
| Mar 31, 2026 | 14.05 Mn |
| Dec 31, 2025 | 14.05 Mn |
| Sep 30, 2025 | 12.49 Mn |
| Jun 30, 2025 | 12.49 Mn |
| Mar 31, 2025 | 12.49 Mn |
| Dec 31, 2024 | 12.49 Mn |
| Sep 30, 2024 | 11.25 Mn |
| Jun 30, 2024 | 11.25 Mn |
| Mar 31, 2024 | 11.25 Mn |
| Dec 31, 2023 | 11.25 Mn |
| Sep 30, 2023 | 5.07 Mn |
| Jun 30, 2023 | 5.07 Mn |
| Mar 31, 2023 | 5.07 Mn |
| Dec 31, 2022 | 5.07 Mn |
| Sep 30, 2022 | 684,860.00 |
| Jun 30, 2022 | 684,860.00 |
| Mar 31, 2022 | 684,860.00 |
| Dec 31, 2021 | 684,860.00 |
| Sep 30, 2021 | 684,860.00 |
Prenetics Global Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=PRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();