Prenetics Global (PRE) Total Non-Current Liabilities (2021 - 2026)
Prenetics Global (PRE) recorded Total Non-Current Liabilities of $24.17 million in Q2 2026, compared with $2.16 million a year earlier and down 15.6% from the prior quarter.
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Analysis
Prenetics Global (PRE) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Prenetics Global reported Total Non-Current Liabilities of $20.99 million, up 269.7% from FY2024.
- Annual Total Non-Current Liabilities has a four-year compound annual growth rate of -54.5% (FY2021 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $5.68 million in FY2024 (+25.4%), $4.53 million in FY2023 (-60.5%), $11.47 million in FY2022 (-97.7%) and $490.66 million in FY2021.
- Quarterly Total Non-Current Liabilities has ranged from $63,940 in Q4 2024 to $521.09 million in Q1 2022 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in 1 of the last six quarters, with an average decline of 7.0%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 236.7% in Q4 2025, against a decline of 98.6% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $28.64 million (Q1 2026), $215,262 (Q4 2025) and $1.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 260.30 Bn | 239.33 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 170.90 Bn | 141.33 Bn | 7.27 Bn | - |
| 3 | Danaher | 164.81 Bn | 148.62 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 152.46 Bn | 131.89 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.28 Bn | 84.53 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 112.91 Bn | 99.03 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 64.87 Bn | 59.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.24 Bn | 50.39 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.42 Bn | 34.43 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Prenetics Global | 252.80 Mn | 116.62 Mn | 30.20 Mn | 24.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.17 Mn |
| Mar 31, 2026 | 28.64 Mn |
| Dec 31, 2025 | 215,173.77 |
| Sep 30, 2025 | 1.69 Mn |
| Jun 30, 2025 | 2.16 Mn |
| Mar 31, 2025 | 1.89 Mn |
| Dec 31, 2024 | 64,027.56 |
| Sep 30, 2024 | 6.35 Mn |
| Jun 30, 2024 | 4.02 Mn |
| Mar 31, 2024 | 3.60 Mn |
| Dec 31, 2023 | 4.53 Mn |
| Sep 30, 2023 | 7.29 Mn |
| Jun 30, 2023 | 8.60 Mn |
| Mar 31, 2023 | 9.70 Mn |
| Dec 31, 2022 | 11.47 Mn |
| Sep 30, 2022 | 12.79 Mn |
| Jun 30, 2022 | 11.97 Mn |
| Mar 31, 2022 | 521.09 Mn |
| Dec 31, 2021 | 490.66 Mn |
API Access
Prenetics Global Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();