Kura Oncology (KURA) Total Current Liabilities (2010 - 2026)
Kura Oncology (KURA) reported Total Current Liabilities of $118.19 million for Q2 2026, up 10.3% from $107.17 million a year earlier and up 16.5% from the prior quarter.
Kura Oncology (KURA) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Kura Oncology posted Total Current Liabilities of $116.97 million, up 48.6% from FY2024.
- Total Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 35.1% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $78.71 million in FY2024 (+123.2%), $35.26 million in FY2023 (+46.6%), $24.06 million in FY2022 (+7.1%) and $22.46 million in FY2021 (-13.7%).
- Five-year quarterly Total Current Liabilities spans a low of $17.73 million in Q1 2022 and a high of $121.3 million in Q3 2025.
- Year over year, Total Current Liabilities has now increased in each of the last 16 quarters, with growth averaging 105.1% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q2 2025 (growth of 220.4%); the low point was Q1 2022 (a decline of 29.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $101.5 million (Q1 2026), $116.97 million (Q4 2025) and $121.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Kura Oncology | 952.70 Mn | 952.70 Mn | 20.63 Mn | 118.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.19 Mn |
| Mar 31, 2026 | 101.50 Mn |
| Dec 31, 2025 | 116.97 Mn |
| Sep 30, 2025 | 121.30 Mn |
| Jun 30, 2025 | 107.17 Mn |
| Mar 31, 2025 | 89.77 Mn |
| Dec 31, 2024 | 78.71 Mn |
| Sep 30, 2024 | 40.37 Mn |
| Jun 30, 2024 | 33.45 Mn |
| Mar 31, 2024 | 32.27 Mn |
| Dec 31, 2023 | 35.26 Mn |
| Sep 30, 2023 | 27.53 Mn |
| Jun 30, 2023 | 23.90 Mn |
| Mar 31, 2023 | 19.23 Mn |
| Dec 31, 2022 | 24.06 Mn |
| Sep 30, 2022 | 24.75 Mn |
| Jun 30, 2022 | 17.87 Mn |
| Mar 31, 2022 | 17.73 Mn |
| Dec 31, 2021 | 22.46 Mn |
| Sep 30, 2021 | 21.93 Mn |
Kura Oncology Total Current 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-current-liabilities&ticker=KURA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=KURA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();