Prenetics Global (PRE) Cost of Revenue (2021 - 2026)
Prenetics Global (PRE) reported Cost of Revenue of $16.29 million for Q2 2026, up 254.3% from $4.6 million a year earlier and up 28.5% from the prior quarter.
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Analysis
Prenetics Global (PRE) Cost of Revenue (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Prenetics Global's Cost of Revenue came in at $50.4 million, up 224.4% year-over-year; for FY2025, it was $43.6 million, up 554.8% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $6.66 million in FY2024 (+33.7%), $4.98 million in FY2023 (-47.8%), $9.55 million in FY2022 (+6.9%) and $8.93 million in FY2021 (-77.0%).
- The Q2 2026 figure ranks as the highest quarterly Cost of Revenue since Q1 2022.
- Year over year, Cost of Revenue has now increased in each of the last four quarters, with growth averaging 169.3% over the last seven quarters.
- The high point for year-over-year Cost of Revenue in five years was Q3 2025 (growth of 492.0%); the low point was Q3 2022 (a decline of 95.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $12.67 million (Q1 2026), $11.91 million (Q4 2025) and $9.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 964.40 Mn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 2.67 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 392.40 Mn |
| 10 | Prenetics Global | 292.77 Mn | 156.50 Mn | 30.20 Mn | 16.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.29 Mn |
| Mar 31, 2026 | 12.67 Mn |
| Dec 31, 2025 | 11.91 Mn |
| Sep 30, 2025 | 9.53 Mn |
| Jun 30, 2025 | 4.60 Mn |
| Mar 31, 2025 | 2.67 Mn |
| Dec 31, 2024 | 4.15 Mn |
| Sep 30, 2024 | 1.61 Mn |
| Jun 30, 2024 | 358,000.00 |
| Mar 31, 2024 | 2.63 Mn |
| Dec 31, 2023 | 2.76 Mn |
| Sep 30, 2023 | 3.22 Mn |
| Jun 30, 2023 | 3.46 Mn |
| Mar 31, 2023 | 3.47 Mn |
| Dec 31, 2022 | 1.77 Mn |
| Sep 30, 2022 | 2.37 Mn |
| Jun 30, 2022 | 2.82 Mn |
| Mar 31, 2022 | 56.01 Mn |
| Dec 31, 2021 | 40.95 Mn |
| Sep 30, 2021 | 48.92 Mn |
API Access
Prenetics Global Cost of Revenue 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=cost-of-revenue&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();