IRulya Therapeutics (IRLA) Total Current Liabilities (2018 - 2026)
IRulya Therapeutics (IRLA) posted Total Current Liabilities of $8.5 million for Q2 2026, up 13.8% from $7.47 million a year earlier but down 3.1% from the prior quarter.
IRulya Therapeutics (IRLA) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, IRulya Therapeutics' Total Current Liabilities came in at $43.23 million, up 493.9% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- In prior years, IRulya Therapeutics' Total Current Liabilities was $7.28 million in FY2024 (-24.0%), $9.57 million in FY2023 (+211.9%), $3.07 million in FY2022 (-78.4%) and $14.22 million in FY2021 (-16.3%).
- Quarterly Total Current Liabilities has run from a low of $1.95 million in Q2 2023 to a high of $43.23 million in Q4 2025 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last four quarters, with growth averaging 120.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2025, with growth of 493.9%; the weakest was Q4 2022, with a decline of 78.4%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $8.77 million (Q1 2026), $43.23 million (Q4 2025) and $26.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 31.73 Bn |
| 10 | IRulya Therapeutics | 207.35 Mn | 91.35 Mn | - | 8.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.50 Mn |
| Mar 31, 2026 | 8.77 Mn |
| Dec 31, 2025 | 43.23 Mn |
| Sep 30, 2025 | 26.04 Mn |
| Jun 30, 2025 | 7.47 Mn |
| Mar 31, 2025 | 8.36 Mn |
| Dec 31, 2024 | 7.28 Mn |
| Sep 30, 2024 | 5.43 Mn |
| Jun 30, 2024 | 10.32 Mn |
| Mar 31, 2024 | 9.84 Mn |
| Dec 31, 2023 | 9.57 Mn |
| Sep 30, 2023 | 2.25 Mn |
| Jun 30, 2023 | 1.95 Mn |
| Mar 31, 2023 | 3.12 Mn |
| Dec 31, 2022 | 3.07 Mn |
| Sep 30, 2022 | 4.95 Mn |
| Jun 30, 2022 | 5.95 Mn |
| Mar 31, 2022 | 9.71 Mn |
| Dec 31, 2021 | 14.22 Mn |
| Sep 30, 2021 | 14.15 Mn |
IRulya Therapeutics 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=IRLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "IRLA", "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=IRLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();