Oruka Therapeutics (ORKA) Non-Current Assets (2010 - 2026)
Oruka Therapeutics (ORKA) posted Non-Current Assets of $254.84 million for Q2 2026, up 903.1% from $25.41 million a year earlier and up 133.3% from the prior quarter.
Oruka Therapeutics (ORKA) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Oruka Therapeutics' Non-Current Assets came in at $144.76 million, up 655.9% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 215.8% (FY2020 to FY2025).
- In prior years, Oruka Therapeutics' Non-Current Assets was $19.15 million in FY2024, $269,000 in FY2023 (-30.3%), $386,000 in FY2022 (-23.3%) and $503,000 in FY2021 (+9.1%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets in data going back to Q4 2010.
- On a year-over-year basis, Non-Current Assets has increased in each of the last three quarters, with growth averaging 546.5% over the last four quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q2 2026, with growth of 903.1%; the weakest was Q2 2024, with a decline of 92.7%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $109.23 million (Q1 2026), $144.76 million (Q4 2025) and $154.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Oruka Therapeutics | 5.03 Bn | 3.08 Bn | - | 254.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 254.84 Mn |
| Mar 31, 2026 | 109.23 Mn |
| Dec 31, 2025 | 144.76 Mn |
| Sep 30, 2025 | 154.09 Mn |
| Jun 30, 2025 | 25.41 Mn |
| Mar 31, 2025 | 25.03 Mn |
| Dec 31, 2024 | 19.15 Mn |
| Sep 30, 2024 | 1.14 Mn |
| Jun 30, 2024 | 24,000.00 |
| Mar 31, 2024 | 36,000.00 |
| Dec 31, 2023 | 269,000.00 |
| Sep 30, 2023 | 292,000.00 |
| Jun 30, 2023 | 328,000.00 |
| Mar 31, 2023 | 357,000.00 |
| Dec 31, 2022 | 386,000.00 |
| Sep 30, 2022 | 415,000.00 |
| Jun 30, 2022 | 446,000.00 |
| Mar 31, 2022 | 475,000.00 |
| Dec 31, 2021 | 503,000.00 |
| Sep 30, 2021 | 526,000.00 |
Oruka Therapeutics 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=ORKA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "ORKA", "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=ORKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();