Prenetics Global (PRE) Exchange Rate Effect (2022 - 2026)
Prenetics Global (PRE) posted Exchange Rate Effect of $196,000 for Q2 2026, down 32.4% from $290,000 a year earlier.
Prenetics Global (PRE) Exchange Rate Effect (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Exchange Rate Effect at Prenetics Global was $844,000; for FY2025, it came in at -$67,000.
- In prior years, Prenetics Global's Exchange Rate Effect was $221,000 in FY2024 (-52.7%), $467,000 in FY2023, -$317,000 in FY2022 and $87,213 in FY2021.
- Quarterly Exchange Rate Effect has run from a low of -$317,000 in Q4 2022 to a high of $498,000 in Q4 2025 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 98.00 Mn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 4.00 Mn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | -13.00 Mn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 7.10 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | -89.00 Mn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | -14.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.00 Mn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 3.80 Mn |
| 10 | Prenetics Global | 236.64 Mn | 100.46 Mn | 30.20 Mn | 80,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80,000.00 |
| Mar 31, 2026 | -199,000.00 |
| Dec 31, 2025 | 328,000.00 |
| Sep 30, 2025 | -9,000.00 |
| Jun 30, 2025 | 294,000.00 |
| Mar 31, 2025 | 103,000.00 |
| Dec 31, 2024 | -726,000.00 |
| Sep 30, 2024 | 474,000.00 |
| Jun 30, 2024 | -340,000.00 |
| Mar 31, 2024 | -430,000.00 |
| Dec 31, 2023 | 1.12 Mn |
| Sep 30, 2023 | -480,209.00 |
| Jun 30, 2023 | 1.79 Mn |
| Mar 31, 2023 | -636,502.00 |
| Dec 31, 2022 | 2.76 Mn |
| Sep 30, 2022 | -2.83 Mn |
Prenetics Global Exchange Rate Effect 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=exchange-rate-effect&ticker=PRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();