UroGen Pharma (URGN) Total Non-Current Liabilities (2019 - 2026)
UroGen Pharma (URGN) recorded Total Non-Current Liabilities of $381.08 million in Q2 2026, up 27.8% from $298.3 million a year earlier and up 1.9% from the prior quarter.
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Analysis
UroGen Pharma (URGN) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, UroGen Pharma reported Total Non-Current Liabilities of $302.03 million, up 3.9% from FY2024.
- Annual Total Non-Current Liabilities has increased for five straight years, with a five-year compound annual growth rate of 67.5% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $290.72 million in FY2024 (+21.0%), $240.33 million in FY2023 (+8.3%), $221.96 million in FY2022 (+104.6%) and $108.49 million in FY2021 (+373.1%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q1 2019.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 19 consecutive quarters, with growth averaging 18.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Non-Current Liabilities ranged from 3.9% (Q4 2025) to 888.4% (Q1 2022).
- Per Business Quant, the preceding three quarters came in at $374.04 million (Q1 2026), $302.03 million (Q4 2025) and $296.66 million (Q3 2025).
Peer Set
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 | UroGen Pharma | 1.79 Bn | 1.29 Bn | 65.88 Mn | 381.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 381.08 Mn |
| Mar 31, 2026 | 374.04 Mn |
| Dec 31, 2025 | 302.03 Mn |
| Sep 30, 2025 | 296.66 Mn |
| Jun 30, 2025 | 298.30 Mn |
| Mar 31, 2025 | 290.29 Mn |
| Dec 31, 2024 | 290.72 Mn |
| Sep 30, 2024 | 273.23 Mn |
| Jun 30, 2024 | 248.34 Mn |
| Mar 31, 2024 | 237.51 Mn |
| Dec 31, 2023 | 240.33 Mn |
| Sep 30, 2023 | 232.61 Mn |
| Jun 30, 2023 | 230.78 Mn |
| Mar 31, 2023 | 226.49 Mn |
| Dec 31, 2022 | 221.96 Mn |
| Sep 30, 2022 | 188.92 Mn |
| Jun 30, 2022 | 184.21 Mn |
| Mar 31, 2022 | 179.95 Mn |
| Dec 31, 2021 | 108.49 Mn |
| Sep 30, 2021 | 100.35 Mn |
API Access
UroGen Pharma 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=URGN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "URGN", "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=URGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();