Prenetics Global (PRE) Return on Assets [ROA] (2022 - 2026)
Prenetics Global's Return on Assets [ROA] was -29.38% in Q2 2026, up 12.87 percentage points from -42.25% a year earlier and up 11.13 percentage points from the prior quarter.
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Analysis
Prenetics Global (PRE) Return on Assets [ROA] (2022 - 2026) Analysis & Trends
For FY2025, Return on Assets [ROA] at Prenetics Global came in at -19.05%, up 2.24 percentage points from FY2024.
- Return on Assets [ROA] has now increased for three consecutive years, with a three-year change of +212.07 percentage points (FY2022 to FY2025).
- In earlier years, Return on Assets [ROA] was -21.30% in FY2024 (+26.60 pp), -47.90% in FY2023 (+183.23 pp) and -231.13% in FY2022.
- Quarterly Return on Assets [ROA] has moved between -267.59% (Q4 2022) and -28.73% (Q4 2025) over five years.
- Compared with a year earlier, Return on Assets [ROA] has increased for three straight quarters, with an average year-over-year change of +9.14 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Assets [ROA] over five years was Q4 2023 (a gain of 225.36 percentage points); the worst was Q1 2023 (a drop of 47.73 percentage points).
- Per Business Quant data, PRE's Return on Assets [ROA] in the three quarters before Q2 2026 was -40.50% (Q1 2026), -28.73% (Q4 2025) and -41.58% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | 6.17% |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 4.94% |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | 4.54% |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | 14.78% |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | 5.66% |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | -1.94% |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | 8.19% |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | 1.85% |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | 7.38% |
| 10 | Prenetics Global | 234.81 Mn | 98.64 Mn | 30.20 Mn | -43.77% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -43.77% |
| Mar 31, 2026 | -58.92% |
| Dec 31, 2025 | -45.74% |
| Sep 30, 2025 | -25.27% |
| Jun 30, 2025 | -26.33% |
| Mar 31, 2025 | -35.91% |
| Dec 31, 2024 | -31.34% |
| Sep 30, 2024 | -22.12% |
| Jun 30, 2024 | -22.60% |
| Mar 31, 2024 | -26.10% |
| Dec 31, 2023 | -25.21% |
| Sep 30, 2023 | -16.39% |
| Jun 30, 2023 | -16.25% |
| Mar 31, 2023 | -55.85% |
| Dec 31, 2022 | -65.48% |
| Sep 30, 2022 | -101.42% |
| Jun 30, 2022 | -153.33% |
| Mar 31, 2022 | -131.36% |
API Access
Prenetics Global Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();