Prenetics Global (PRE) Return on Capital Employed [ROCE] (2022 - 2026)
Prenetics Global's Return on Capital Employed [ROCE] came in at -37.15% for Q2 2026, down 3.79 percentage points from -33.36% a year earlier and down 3.02 percentage points from the prior quarter.
Powered by 
Analysis
Prenetics Global (PRE) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, Prenetics Global's Return on Capital Employed [ROCE] was 0.42%, up 18.80 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased in each of the last three years, with a three-year change of +90.88 percentage points (FY2022 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -18.38% in FY2024 (+21.77 pp), -40.15% in FY2023 (+50.31 pp) and -90.46% in FY2022.
- The Q2 2026 figure represents the lowest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- Year-over-year, Return on Capital Employed [ROCE] increased in five of the last eight quarters, with an average year-over-year change of +2.99 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2024 (a gain of 78.42 percentage points), and the weakest in Q1 2023 (a drop of 58.22 percentage points).
- Business Quant data shows PRE's Return on Capital Employed [ROCE] at -34.13% (Q1 2026), -23.26% (Q4 2025) and -33.03% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 10.83% |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 6.00% |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 11.99% |
| 10 | Prenetics Global | 292.77 Mn | 156.50 Mn | 30.20 Mn | -48.34% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -48.34% |
| Mar 31, 2026 | -48.04% |
| Dec 31, 2025 | -26.95% |
| Sep 30, 2025 | -22.08% |
| Jun 30, 2025 | -22.92% |
| Mar 31, 2025 | -32.91% |
| Dec 31, 2024 | -24.90% |
| Sep 30, 2024 | -22.81% |
| Jun 30, 2024 | -22.82% |
| Mar 31, 2024 | -24.72% |
| Dec 31, 2023 | -25.71% |
| Sep 30, 2023 | -22.83% |
| Jun 30, 2023 | -25.00% |
| Mar 31, 2023 | -26.17% |
| Dec 31, 2022 | -22.28% |
| Sep 30, 2022 | -31.69% |
| Jun 30, 2022 | -33.65% |
| Mar 31, 2022 | -25.52% |
API Access
Prenetics Global Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();