Oruka Therapeutics (ORKA) Accumulated Expenses (2024 - 2026)
Oruka Therapeutics (ORKA) recorded Accumulated Expenses of $14.35 million in Q2 2026, up 301.0% from $3.58 million a year earlier and up 54.5% from the prior quarter.
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Analysis
Oruka Therapeutics (ORKA) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Oruka Therapeutics reported Accumulated Expenses of $10.59 million, up 216.5% from FY2024.
- Across earlier years, Accumulated Expenses came in at $3.35 million in FY2024.
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q3 2024.
- On a year-over-year basis, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 246.8% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at $9.29 million (Q1 2026), $10.59 million (Q4 2025) and $8.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Oruka Therapeutics | 5.24 Bn | 3.30 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.35 Mn |
| Mar 31, 2026 | 9.29 Mn |
| Dec 31, 2025 | 10.59 Mn |
| Sep 30, 2025 | 8.65 Mn |
| Jun 30, 2025 | 3.58 Mn |
| Mar 31, 2025 | 5.66 Mn |
| Dec 31, 2024 | 3.35 Mn |
| Sep 30, 2024 | 1.71 Mn |
API Access
Oruka Therapeutics 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=accumulated-expenses&ticker=ORKA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ORKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();