UroGen Pharma (URGN) Total Liabilities (2016 - 2026)
UroGen Pharma's Total Liabilities was $384.99 million in Q2 2026, up 27.4% from $302.09 million a year earlier and up 1.9% from the prior quarter.
UroGen Pharma (URGN) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at UroGen Pharma came in at $305.93 million, up 3.9% from FY2024.
- Total Liabilities has now increased for nine consecutive years, with a five-year compound annual growth rate of 64.2% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $294.51 million in FY2024 (+20.9%), $243.52 million in FY2023 (+8.2%), $224.98 million in FY2022 (+102.1%) and $111.33 million in FY2021 (+334.0%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2016.
- Compared with a year earlier, Total Liabilities has increased for 31 straight quarters, with growth averaging 18.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 3.9% (Q4 2025) to 773.6% (Q1 2022).
- Per Business Quant data, URGN's Total Liabilities in the three quarters before Q2 2026 was $377.94 million (Q1 2026), $305.93 million (Q4 2025) and $300.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,160.65 Bn | 1,129.23 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 633.19 Bn | 551.72 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 501.90 Bn | 475.01 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 377.07 Bn | 331.45 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 302.35 Bn | 266.34 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 240.68 Bn | 196.07 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 193.20 Bn | 167.40 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 172.14 Bn | 118.78 Bn | 10.94 Bn | 115.64 Bn |
| 10 | UroGen Pharma | 1.79 Bn | 1.29 Bn | 65.88 Mn | 384.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 384.99 Mn |
| Mar 31, 2026 | 377.94 Mn |
| Dec 31, 2025 | 305.93 Mn |
| Sep 30, 2025 | 300.45 Mn |
| Jun 30, 2025 | 302.09 Mn |
| Mar 31, 2025 | 294.08 Mn |
| Dec 31, 2024 | 294.51 Mn |
| Sep 30, 2024 | 276.43 Mn |
| Jun 30, 2024 | 251.54 Mn |
| Mar 31, 2024 | 240.71 Mn |
| Dec 31, 2023 | 243.52 Mn |
| Sep 30, 2023 | 235.63 Mn |
| Jun 30, 2023 | 233.80 Mn |
| Mar 31, 2023 | 229.51 Mn |
| Dec 31, 2022 | 224.98 Mn |
| Sep 30, 2022 | 191.76 Mn |
| Jun 30, 2022 | 187.05 Mn |
| Mar 31, 2022 | 182.79 Mn |
| Dec 31, 2021 | 111.33 Mn |
| Sep 30, 2021 | 103.07 Mn |
UroGen Pharma Total 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-liabilities&ticker=URGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=URGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();