Kura Oncology (KURA) Total Liabilities (2009 - 2026)
Kura Oncology (KURA) recorded Total Liabilities of $539.36 million in Q2 2026, up 43.1% from $376.94 million a year earlier but down 1.0% from the prior quarter.
Kura Oncology (KURA) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Kura Oncology reported Total Liabilities of $564.23 million, up 62.8% from FY2024.
- Annual Total Liabilities has increased for four straight years, with a five-year compound annual growth rate of 73.1% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $346.52 million in FY2024 (+570.7%), $51.66 million in FY2023 (+43.4%), $36.03 million in FY2022 (+31.3%) and $27.44 million in FY2021 (-24.4%).
- Quarterly Total Liabilities has ranged from $21.93 million in Q2 2022 to $564.23 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for 16 consecutive quarters, with growth averaging 341.3% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 677.0% in Q1 2025, against a decline of 34.8% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $544.67 million (Q1 2026), $564.23 million (Q4 2025) and $406.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Kura Oncology | 695.52 Mn | -1.56 Bn | 22.47 Mn | 548.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 548.54 Mn |
| Jun 30, 2026 | 539.36 Mn |
| Mar 31, 2026 | 544.67 Mn |
| Dec 31, 2025 | 564.23 Mn |
| Sep 30, 2025 | 406.84 Mn |
| Jun 30, 2025 | 376.94 Mn |
| Mar 31, 2025 | 379.36 Mn |
| Dec 31, 2024 | 346.52 Mn |
| Sep 30, 2024 | 55.07 Mn |
| Jun 30, 2024 | 49.05 Mn |
| Mar 31, 2024 | 48.82 Mn |
| Dec 31, 2023 | 51.66 Mn |
| Sep 30, 2023 | 43.83 Mn |
| Jun 30, 2023 | 35.06 Mn |
| Mar 31, 2023 | 30.79 Mn |
| Dec 31, 2022 | 36.03 Mn |
| Sep 30, 2022 | 28.37 Mn |
| Jun 30, 2022 | 21.93 Mn |
| Mar 31, 2022 | 22.34 Mn |
| Dec 31, 2021 | 27.44 Mn |
Kura Oncology Total Liabilities 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-liabilities&ticker=KURA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "KURA", "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-liabilities&ticker=KURA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();