IRulya Therapeutics (IRLA) Total Debt (2023 - 2025)
IRulya Therapeutics' Total Debt was $18.03 million in Q4 2025, up 2.9% from the prior quarter.
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Analysis
IRulya Therapeutics (IRLA) Total Debt (2023 - 2025) Analysis & Trends
From Q4 2023 onward, IRulya Therapeutics has reported Total Debt for 8 quarters.
- In earlier years, Total Debt was $13.43 million in FY2023.
- The Q4 2025 figure marks the highest quarterly Total Debt in data going back to Q4 2023.
- Per Business Quant data, IRLA's Total Debt in the three quarters before Q4 2025 was $17.52 million (Q3 2025), $16.99 million (Q2 2025) and $15.27 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 49.50 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 44.65 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 80.90 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 53.78 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | -11.96 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 54.01 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 26.23 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 62.67 Bn |
| 10 | IRulya Therapeutics | 207.35 Mn | 91.35 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 18.03 Mn |
| Sep 30, 2025 | 17.52 Mn |
| Jun 30, 2025 | 16.99 Mn |
| Mar 31, 2025 | 15.27 Mn |
| Dec 31, 2024 | 14.32 Mn |
| Sep 30, 2024 | 14.90 Mn |
| Jun 30, 2024 | 13.83 Mn |
| Mar 31, 2024 | 13.52 Mn |
| Dec 31, 2023 | 13.43 Mn |
API Access
IRulya Therapeutics Total Debt 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-debt&ticker=IRLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=IRLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();