Oruka Therapeutics (ORKA) Operating Expenses (2010 - 2024)
Oruka Therapeutics (ORKA) reported Operating Expenses of $3.12 million for Q2 2024, up 58.2% from $1.97 million a year earlier and up 25.8% from the prior quarter.
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Analysis
Oruka Therapeutics (ORKA) Operating Expenses (2010 - 2024) Analysis & Trends
Over the twelve months ended Jun 30, 2024, Oruka Therapeutics' Operating Expenses came in at $9.13 million, up 16.0% year-over-year; for FY2023, it was $7.3 million, down 31.1% from FY2022.
- Operating Expenses has a five-year compound annual growth rate of -2.1% (FY2018 to FY2023).
- By year, Operating Expenses came in at $10.6 million in FY2022 (-45.2%), $19.34 million in FY2021 (+98.0%), $9.77 million in FY2020 (+68.0%) and $5.81 million in FY2019 (-28.4%).
- The Q2 2024 figure ranks as the highest quarterly Operating Expenses since Q2 2022.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with an average decline of 15.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2020 (growth of 301.1%); the low point was Q4 2022 (a decline of 72.7%).
- Per Business Quant data, the three quarters before Q2 2024 came in at $2.48 million (Q1 2024), $1.59 million (Q4 2023) and $1.94 million (Q3 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 7.68 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 7.61 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Oruka Therapeutics | 6.46 Bn | 4.51 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 3.12 Mn |
| Mar 31, 2024 | 2.48 Mn |
| Dec 31, 2023 | 1.59 Mn |
| Sep 30, 2023 | 1.94 Mn |
| Jun 30, 2023 | 1.97 Mn |
| Mar 31, 2023 | 1.80 Mn |
| Dec 31, 2022 | 1.55 Mn |
| Sep 30, 2022 | 2.55 Mn |
| Jun 30, 2022 | 3.22 Mn |
| Mar 31, 2022 | 3.28 Mn |
| Dec 31, 2021 | 5.68 Mn |
| Sep 30, 2021 | 4.72 Mn |
| Jun 30, 2021 | 4.84 Mn |
| Mar 31, 2021 | 4.10 Mn |
| Dec 31, 2020 | 5.13 Mn |
| Sep 30, 2020 | 1.99 Mn |
| Jun 30, 2020 | 1.31 Mn |
| Mar 31, 2020 | 1.34 Mn |
| Dec 31, 2019 | 1.28 Mn |
| Sep 30, 2019 | 1.25 Mn |
API Access
Oruka Therapeutics Operating 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=operating-expenses&ticker=ORKA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ORKA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();