TuHURA Biosciences (HURA) Other Accumulated Expenses (2012 - 2024)
TuHURA Biosciences (HURA) reported Other Accumulated Expenses of $52,000 for FY2024.
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Analysis
TuHURA Biosciences (HURA) Other Accumulated Expenses (2012 - 2024) Analysis & Trends
- According to Business Quant data, Other Accumulated Expenses came in at $148,000 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | TuHURA Biosciences | 96.16 Mn | 82.54 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 50,000.00 |
| Jun 30, 2024 | 52,000.00 |
| Mar 31, 2024 | 98,000.00 |
| Dec 31, 2023 | 148,000.00 |
| Sep 30, 2023 | 338,000.00 |
| Jun 30, 2023 | 298,000.00 |
| Mar 31, 2023 | 180,000.00 |
| Dec 31, 2022 | 548,000.00 |
| Sep 30, 2022 | 573,000.00 |
| Jun 30, 2022 | 721,000.00 |
| Mar 31, 2022 | 458,000.00 |
| Dec 31, 2021 | 543,000.00 |
| Sep 30, 2021 | 491,000.00 |
| Jun 30, 2021 | 561,000.00 |
| Mar 31, 2021 | 385,000.00 |
| Dec 31, 2020 | 289,397.00 |
| Sep 30, 2020 | 382,004.00 |
| Jun 30, 2020 | 664,000.00 |
| Mar 31, 2020 | 296,184.00 |
| Dec 31, 2019 | 276,674.00 |
API Access
TuHURA Biosciences Other Accumulated Expenses 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=other-accumulated-expenses&ticker=HURA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=HURA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();