Kura Oncology (KURA) Non-Current Assets (2014 - 2026)
Kura Oncology (KURA) recorded Non-Current Assets of $28.35 million in Q2 2026, up 26.9% from $22.35 million a year earlier but down 1.4% from the prior quarter.
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Analysis
Kura Oncology (KURA) Non-Current Assets (2014 - 2026) Analysis & Trends
At the end of FY2025, Kura Oncology reported Non-Current Assets of $29.7 million, up 93.7% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $15.33 million in FY2024 (-6.8%), $16.45 million in FY2023 (+66.5%), $9.88 million in FY2022 (-16.0%) and $11.76 million in FY2021 (+18.6%).
- Quarterly Non-Current Assets has ranged from $9.09 million in Q2 2023 to $29.7 million in Q4 2025 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for six consecutive quarters, with growth averaging 40.6% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 93.7% in Q4 2025, against a decline of 21.9% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $28.77 million (Q1 2026), $29.7 million (Q4 2025) and $28.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Kura Oncology | 952.70 Mn | 952.70 Mn | 20.63 Mn | 28.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.35 Mn |
| Mar 31, 2026 | 28.77 Mn |
| Dec 31, 2025 | 29.70 Mn |
| Sep 30, 2025 | 28.72 Mn |
| Jun 30, 2025 | 22.35 Mn |
| Mar 31, 2025 | 19.57 Mn |
| Dec 31, 2024 | 15.33 Mn |
| Sep 30, 2024 | 15.65 Mn |
| Jun 30, 2024 | 15.35 Mn |
| Mar 31, 2024 | 16.07 Mn |
| Dec 31, 2023 | 16.45 Mn |
| Sep 30, 2023 | 13.85 Mn |
| Jun 30, 2023 | 9.09 Mn |
| Mar 31, 2023 | 9.53 Mn |
| Dec 31, 2022 | 9.88 Mn |
| Sep 30, 2022 | 11.60 Mn |
| Jun 30, 2022 | 11.64 Mn |
| Mar 31, 2022 | 11.55 Mn |
| Dec 31, 2021 | 11.76 Mn |
| Sep 30, 2021 | 12.24 Mn |
API Access
Kura Oncology Non-Current 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=non-current-assets&ticker=KURA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=KURA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();