Oruka Therapeutics (ORKA) Shares Outstanding (Diluted) (2009 - 2026)
Oruka Therapeutics (ORKA) reported Shares Outstanding (Diluted) of 62.87 million for Q2 2026, up 49.4% from 42.1 million a year earlier and up 14.0% from the prior quarter.
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Analysis
Oruka Therapeutics (ORKA) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Oruka Therapeutics posted Shares Outstanding (Diluted) of 45.89 million, up 171.6% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 707.0% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 16.89 million in FY2024, 1.2 million in FY2023 (unchanged), 1.2 million in FY2022 (+3.6%) and 1.16 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2010.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last four quarters, with growth averaging 111.7% over the last four quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 0.0% (Q2 2022) and 193.5% (Q3 2025) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at 55.17 million (Q1 2026), 45.89 million (Q4 2025) and 44.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Oruka Therapeutics | 7.43 Bn | 4.55 Bn | - | 71.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 71.59 Mn |
| Jun 30, 2026 | 62.87 Mn |
| Mar 31, 2026 | 55.17 Mn |
| Dec 31, 2025 | 45.89 Mn |
| Sep 30, 2025 | 44.20 Mn |
| Jun 30, 2025 | 42.10 Mn |
| Mar 31, 2025 | 41.68 Mn |
| Dec 31, 2024 | 16.89 Mn |
| Sep 30, 2024 | 15.06 Mn |
| Jun 30, 2024 | 1.21 Mn |
| Mar 31, 2024 | 1.21 Mn |
| Dec 31, 2023 | 1.20 Mn |
| Sep 30, 2023 | 1.20 Mn |
| Jun 30, 2023 | 1.20 Mn |
| Mar 31, 2023 | 1.20 Mn |
| Dec 31, 2022 | 1.20 Mn |
| Sep 30, 2022 | 1.20 Mn |
| Jun 30, 2022 | 1.20 Mn |
| Mar 31, 2022 | 1.20 Mn |
| Dec 31, 2021 | 1.16 Mn |
API Access
Oruka Therapeutics Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ORKA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ORKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();