Prenetics Global (PRE) Operating Expenses (2021 - 2026)
Prenetics Global's Operating Expenses came in at -$42.06 million for Q2 2026, compared with -$6.66 million a year earlier.
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Analysis
Prenetics Global (PRE) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Prenetics Global reported Operating Expenses of -$93.57 million; for FY2025, it came in at -$40.67 million.
- Going back by year, Operating Expenses was $30.41 million in FY2024 (+95.4%), $15.56 million in FY2023 (-20.5%), $19.58 million in FY2022 and -$534,000 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Operating Expenses in data going back to Q1 2021.
- Business Quant data shows PRE's Operating Expenses at -$23.65 million (Q1 2026), -$16.83 million (Q4 2025) and -$11.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 260.30 Bn | 239.33 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 170.90 Bn | 141.33 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 164.81 Bn | 148.62 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 152.46 Bn | 131.89 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 119.28 Bn | 84.53 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 112.91 Bn | 99.03 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 64.87 Bn | 59.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.24 Bn | 50.39 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.42 Bn | 34.43 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Prenetics Global | 252.80 Mn | 116.62 Mn | 30.20 Mn | -10.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.82 Mn |
| Mar 31, 2026 | -10.78 Mn |
| Dec 31, 2025 | -17.01 Mn |
| Sep 30, 2025 | -10.72 Mn |
| Jun 30, 2025 | -8.62 Mn |
| Mar 31, 2025 | -7.53 Mn |
| Dec 31, 2024 | -33.42 Mn |
| Sep 30, 2024 | -9.15 Mn |
| Jun 30, 2024 | -9.17 Mn |
| Mar 31, 2024 | -11.79 Mn |
| Dec 31, 2023 | -31.70 Mn |
| Sep 30, 2023 | -14.56 Mn |
| Jun 30, 2023 | -16.81 Mn |
| Mar 31, 2023 | -14.92 Mn |
| Dec 31, 2022 | -60.81 Mn |
| Sep 30, 2022 | -17.47 Mn |
| Jun 30, 2022 | -22.46 Mn |
| Mar 31, 2022 | -31.28 Mn |
| Dec 31, 2021 | -53.39 Mn |
| Mar 31, 2021 | -8.95 Mn |
API Access
Prenetics Global Operating Expenses 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=operating-expenses&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();