IRulya Therapeutics (IRLA) Net Debt Issuances and Repayments (2018 - 2026)
IRulya Therapeutics (IRLA) recorded Net Debt Issuances and Repayments of -$5.55 million in Q1 2026.
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Analysis
IRulya Therapeutics (IRLA) Net Debt Issuances and Repayments (2018 - 2026) Analysis & Trends
For FY2023, IRulya Therapeutics reported Net Debt Issuances and Repayments of -$6,000.
- Across earlier years, Net Debt Issuances and Repayments came in at -$49,000 in FY2022, -$34,000 in FY2020 and -$559,000 in FY2019.
- The Q1 2026 figure is the highest quarterly Net Debt Issuances and Repayments in data going back to Q1 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | -5.28 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | -4.36 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 9.98 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | -682.00 Mn |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 4.91 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | -3.05 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | -19.00 Mn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | -24.00 Mn |
| 10 | IRulya Therapeutics | 207.35 Mn | 91.35 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -5.55 Mn |
| Mar 31, 2023 | -6,000.00 |
| Dec 31, 2022 | -18,000.00 |
| Sep 30, 2022 | -19,000.00 |
| Jun 30, 2022 | -12,000.00 |
| Dec 31, 2020 | -2,000.00 |
| Jun 30, 2020 | -3,000.00 |
| Mar 31, 2020 | -29,000.00 |
| Mar 31, 2018 | 250,000.00 |
API Access
IRulya Therapeutics Net Debt Issuances and Repayments 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=net-debt-issuances-and-repayments&ticker=IRLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-repayments", "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=net-debt-issuances-and-repayments&ticker=IRLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();