Prenetics Global (PRE) Change in Inventory (2025 - 2026)
Prenetics Global (PRE) recorded Change in Inventory of $80,000 in Q2 2026, down 79.7% from $394,000 a year earlier.
Prenetics Global (PRE) Change in Inventory (2025 - 2026) Analysis & Trends
On a TTM basis, Prenetics Global's Change in Inventory came in at -$7.37 million as of Jun 30, 2026; for FY2025, it was $2.79 million.
- Annual Change in Inventory has a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- Across earlier years, Change in Inventory came in at -$1.32 million in FY2024, $1.73 million in FY2023, -$1.26 million in FY2022 and $2.33 million in FY2021 (-37.7%).
- Quarterly Change in Inventory has ranged from -$7.13 million in Q1 2026 to $394,000 in Q2 2025 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 51.00 Mn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 51.00 Mn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 307.40 Mn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 228.00 Mn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 86.00 Mn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 24.60 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | - |
| 10 | Prenetics Global | 251.88 Mn | -36.68 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80,000.00 |
| Mar 31, 2026 | -7.13 Mn |
| Jun 30, 2025 | 394,000.00 |
| Mar 31, 2025 | -711,000.00 |
Prenetics Global Change in Inventory 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=change-in-inventory&ticker=PRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();