TuHURA Biosciences (HURA) Total Debt (2011 - 2025)
TuHURA Biosciences (HURA) posted Total Debt of $493,386 for Q3 2025, up 13.7% from the prior quarter.
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Analysis
TuHURA Biosciences (HURA) Total Debt (2011 - 2025) Analysis & Trends
At the end of FY2014, TuHURA Biosciences' Total Debt came in at $276,439.
- Annual Total Debt shows a three-year compound annual growth rate of 387.6% (FY2011 to FY2014).
- In prior years, TuHURA Biosciences' Total Debt was $272,372 in FY2013 (+3.0%), $264,352 in FY2012 and $2,384 in FY2011.
- The Q3 2025 figure stands as the highest quarterly Total Debt in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 49.04 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 70.82 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 53.91 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 37.49 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -111.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 57.30 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 26.25 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 63.19 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | TuHURA Biosciences | 39.19 Mn | 39.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 493,386.00 |
| Jun 30, 2025 | 434,000.00 |
| Mar 31, 2021 | 1.01 Mn |
| Dec 31, 2020 | 946,000.00 |
| Sep 30, 2020 | 882,000.00 |
| Sep 30, 2014 | 279,000.00 |
| Jun 30, 2014 | 276,439.00 |
| Mar 31, 2014 | 274,387.00 |
| Dec 31, 2013 | 272,372.00 |
| Sep 30, 2013 | 270,328.00 |
| Jun 30, 2013 | 268,299.00 |
| Mar 31, 2013 | 266,307.00 |
| Dec 31, 2012 | 264,352.00 |
| Dec 31, 2011 | 2,384.00 |
API Access
TuHURA Biosciences 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=HURA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=HURA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();