TuHURA Biosciences (HURA) Long-Term Debt Repayments (2025 - 2026)
TuHURA Biosciences (HURA) reported Long-Term Debt Repayments of $11,050 for Q2 2026, up 1.9% from the prior quarter.
TuHURA Biosciences (HURA) Long-Term Debt Repayments (2025 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, TuHURA Biosciences' Long-Term Debt Repayments came in at $1.47 million; for FY2025, it was $1.5 million.
- Long-Term Debt Repayments has a four-year compound annual growth rate of 31.6% (FY2021 to FY2025).
- By year, Long-Term Debt Repayments came in at $500,000 in FY2021.
- Five-year quarterly Long-Term Debt Repayments spans a low of $10,845 in Q1 2026 and a high of $1.4 million in Q4 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at $10,845 (Q1 2026), $1.4 million (Q4 2025) and $43,671 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 1.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -4.91 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 3.05 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 19.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | TuHURA Biosciences | 96.16 Mn | 82.54 Mn | - | 11,050.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11,050.00 |
| Mar 31, 2026 | 10,845.00 |
| Dec 31, 2025 | 1.41 Mn |
| Sep 30, 2025 | 43,671.00 |
TuHURA Biosciences Long-Term Debt 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=long-term-debt-repayments&ticker=HURA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "HURA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=HURA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();