Prenetics Global (PRE) Return on Sales [ROS] (2021 - 2026)
Prenetics Global (PRE) posted Return on Sales [ROS] of -45.13% for Q2 2026, up 26.55 percentage points from -71.67% a year earlier but down 20.47 percentage points from the prior quarter.
Prenetics Global (PRE) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Prenetics Global was -34.12%, up 164.81 percentage points year-over-year; for FY2025, it was 0.81%, up 228.42 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +2.34 percentage points (FY2020 to FY2025).
- In prior years, Prenetics Global's Return on Sales [ROS] was -227.60% in FY2024 (+396.99 pp), -624.60% in FY2023 (-123.06 pp), -501.53% in FY2022 (-49.42 pp) and -452.11% in FY2021 (-450.58 pp).
- Quarterly Return on Sales [ROS] has run from a low of -2320.98% in Q4 2022 to a high of -0.60% in Q1 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last seven quarters, with an average year-over-year change of +176.98 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2023, with a gain of 1609.06 percentage points; the weakest was Q4 2022, with a drop of 1868.87 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -24.66% (Q1 2026), -34.59% (Q4 2025) and -26.17% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.14 Bn | 230.17 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 177.84 Bn | 148.27 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 162.11 Bn | 145.92 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 153.83 Bn | 134.12 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 122.57 Bn | 87.82 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 117.08 Bn | 103.19 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 67.06 Bn | 61.83 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 54.49 Bn | 51.64 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 51.28 Bn | 35.29 Bn | 1.35 Bn | 29.48% |
| 10 | Prenetics Global | 235.37 Mn | 99.20 Mn | 30.20 Mn | -45.13% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -45.13% |
| Mar 31, 2026 | -64.46% |
| Dec 31, 2025 | -14.41% |
| Sep 30, 2025 | -26.17% |
| Jun 30, 2025 | -71.67% |
| Mar 31, 2025 | -133.82% |
| Dec 31, 2024 | -187.12% |
| Sep 30, 2024 | -269.76% |
| Jun 30, 2024 | -283.27% |
| Mar 31, 2024 | -142.83% |
| Dec 31, 2023 | -284.66% |
| Sep 30, 2023 | -265.29% |
| Jun 30, 2023 | -228.07% |
| Mar 31, 2023 | -302.42% |
| Dec 31, 2022 | -411.69% |
| Sep 30, 2022 | -396.18% |
| Jun 30, 2022 | -544.72% |
| Mar 31, 2022 | -0.60% |
| Dec 31, 2021 | -47.52% |
| Sep 30, 2021 | -7.15% |
Prenetics Global Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=PRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();