UroGen Pharma (URGN) Total Current Liabilities (2016 - 2026)
UroGen Pharma (URGN) reported Total Current Liabilities of $61.92 million for Q2 2026, up 30.2% from $47.55 million a year earlier and up 22.3% from the prior quarter.
UroGen Pharma (URGN) Total Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, UroGen Pharma posted Total Current Liabilities of $46.42 million, up 1.0% from FY2024.
- Total Current Liabilities has increased for nine consecutive years, with a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $45.95 million in FY2024 (+47.2%), $31.21 million in FY2023 (+30.5%), $23.92 million in FY2022 (+6.9%) and $22.38 million in FY2021 (+4.4%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to Q4 2016.
- Year over year, Total Current Liabilities has now increased in each of the last 15 quarters, with growth averaging 31.7% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2025 (growth of 59.5%); the low point was Q2 2022 (a decline of 5.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $50.64 million (Q1 2026), $46.42 million (Q4 2025) and $42.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 32.65 Bn |
| 10 | UroGen Pharma | 1.79 Bn | 1.29 Bn | 65.88 Mn | 61.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.92 Mn |
| Mar 31, 2026 | 50.64 Mn |
| Dec 31, 2025 | 46.42 Mn |
| Sep 30, 2025 | 42.24 Mn |
| Jun 30, 2025 | 47.55 Mn |
| Mar 31, 2025 | 42.00 Mn |
| Dec 31, 2024 | 45.95 Mn |
| Sep 30, 2024 | 32.79 Mn |
| Jun 30, 2024 | 34.22 Mn |
| Mar 31, 2024 | 26.34 Mn |
| Dec 31, 2023 | 31.21 Mn |
| Sep 30, 2023 | 25.79 Mn |
| Jun 30, 2023 | 26.77 Mn |
| Mar 31, 2023 | 25.23 Mn |
| Dec 31, 2022 | 23.92 Mn |
| Sep 30, 2022 | 19.00 Mn |
| Jun 30, 2022 | 18.04 Mn |
| Mar 31, 2022 | 19.09 Mn |
| Dec 31, 2021 | 22.38 Mn |
| Sep 30, 2021 | 19.81 Mn |
UroGen Pharma Total 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-current-liabilities&ticker=URGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=URGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();