uniQure (QURE) Total Non-Current Liabilities (2015 - 2026)
uniQure (QURE) posted Total Non-Current Liabilities of $577.71 million for Q2 2026, up 5.4% from $547.96 million a year earlier and up 1.3% from the prior quarter.
uniQure (QURE) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, uniQure's Total Non-Current Liabilities came in at $563.09 million, up 7.6% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 52.1% (FY2020 to FY2025).
- In prior years, uniQure's Total Non-Current Liabilities was $523.24 million in FY2024 (-4.9%), $550.34 million in FY2023 (+259.6%), $153.04 million in FY2022 (-13.4%) and $176.64 million in FY2021 (+155.4%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2015.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last four quarters, with growth averaging 1.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2024, with growth of 268.6%; the weakest was Q4 2022, with a decline of 13.4%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $570.17 million (Q1 2026), $563.09 million (Q4 2025) and $559 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | uniQure | 1.51 Bn | -1.21 Bn | 5.49 Mn | 577.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 577.71 Mn |
| Mar 31, 2026 | 570.17 Mn |
| Dec 31, 2025 | 563.09 Mn |
| Sep 30, 2025 | 559.00 Mn |
| Jun 30, 2025 | 547.96 Mn |
| Mar 31, 2025 | 535.41 Mn |
| Dec 31, 2024 | 523.24 Mn |
| Sep 30, 2024 | 518.71 Mn |
| Jun 30, 2024 | 553.27 Mn |
| Mar 31, 2024 | 559.82 Mn |
| Dec 31, 2023 | 550.34 Mn |
| Sep 30, 2023 | 534.16 Mn |
| Jun 30, 2023 | 521.09 Mn |
| Mar 31, 2023 | 151.90 Mn |
| Dec 31, 2022 | 153.04 Mn |
| Sep 30, 2022 | 153.09 Mn |
| Jun 30, 2022 | 166.46 Mn |
| Mar 31, 2022 | 166.45 Mn |
| Dec 31, 2021 | 176.64 Mn |
| Sep 30, 2021 | 141.95 Mn |
uniQure 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=QURE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "QURE", "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=QURE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();