TuHURA Biosciences (HURA) Prepaid Assets (2012 - 2026)
TuHURA Biosciences' Prepaid Assets came in at $137,770 for Q2 2026, down 7.5% from the prior quarter.
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Analysis
TuHURA Biosciences (HURA) Prepaid Assets (2012 - 2026) Analysis & Trends
At the end of FY2025, TuHURA Biosciences' Prepaid Assets was $159,214.
- Prepaid Assets carries a five-year compound annual growth rate of -15.3% (FY2020 to FY2025).
- Going back by year, Prepaid Assets was $414,000 in FY2024, $311,000 in FY2023, $1.48 million in FY2022 (+95.5%) and $756,000 in FY2021 (+107.1%).
- The Q2 2026 figure represents the lowest quarterly Prepaid Assets since Q1 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | TuHURA Biosciences | 35.65 Mn | 35.65 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137,770.00 |
| Mar 31, 2026 | 148,985.00 |
| Dec 31, 2025 | 159,214.00 |
| Sep 30, 2024 | 258,000.00 |
| Jun 30, 2024 | 414,000.00 |
| Mar 31, 2024 | 208,000.00 |
| Dec 31, 2023 | 311,000.00 |
| Sep 30, 2023 | 567,000.00 |
| Jun 30, 2023 | 660,000.00 |
| Mar 31, 2023 | 821,000.00 |
| Dec 31, 2022 | 1.08 Mn |
| Sep 30, 2022 | 1.07 Mn |
| Jun 30, 2022 | 1.48 Mn |
| Mar 31, 2022 | 1.25 Mn |
| Dec 31, 2021 | 934,000.00 |
| Sep 30, 2021 | 769,000.00 |
| Jun 30, 2021 | 756,000.00 |
| Mar 31, 2021 | 363,000.00 |
| Dec 31, 2020 | 551,000.00 |
| Sep 30, 2020 | 343,000.00 |
API Access
TuHURA Biosciences Prepaid Assets 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=prepaid-assets&ticker=HURA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=HURA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();