Oramed Pharmaceuticals (ORMP) Operating Expenses (2011 - 2026)
Oramed Pharmaceuticals' Operating Expenses came in at $2.77 million for Q2 2026, up 11.1% from $2.49 million a year earlier but down 24.4% from the prior quarter.
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Analysis
Oramed Pharmaceuticals (ORMP) Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Oramed Pharmaceuticals reported Operating Expenses of $14.52 million, up 6.1% year-over-year; for FY2025, it was $15.1 million, up 18.2% from FY2024.
- Operating Expenses carries a four-year compound annual growth rate of -7.9% (FY2021 to FY2025).
- Going back by year, Operating Expenses was $12.78 million in FY2024 (-26.5%), $17.4 million in FY2023 (-58.0%), $41.45 million in FY2022 and $20.99 million in FY2021.
- The five-year range for quarterly Operating Expenses is $2.43 million (Q3 2025) to $11.76 million (Q4 2022).
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with growth averaging 5.0%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2025 (growth of 57.8%), and the weakest in Q4 2023 (a decline of 67.0%).
- Business Quant data shows ORMP's Operating Expenses at $3.66 million (Q1 2026), $5.67 million (Q4 2025) and $2.43 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Oramed Pharmaceuticals | 196.24 Mn | 196.24 Mn | - | 2.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.77 Mn |
| Mar 31, 2026 | 3.66 Mn |
| Dec 31, 2025 | 5.67 Mn |
| Sep 30, 2025 | 2.43 Mn |
| Jun 30, 2025 | 2.49 Mn |
| Mar 31, 2025 | 4.51 Mn |
| Dec 31, 2024 | 3.60 Mn |
| Sep 30, 2024 | 3.09 Mn |
| Jun 30, 2024 | 3.14 Mn |
| Mar 31, 2024 | 2.96 Mn |
| Dec 31, 2023 | 3.88 Mn |
| Sep 30, 2023 | 3.56 Mn |
| Jun 30, 2023 | 4.27 Mn |
| Mar 31, 2023 | 5.69 Mn |
| Dec 31, 2022 | 11.76 Mn |
| Sep 30, 2022 | 8.41 Mn |
| Jun 30, 2022 | 11.71 Mn |
| Mar 31, 2022 | 11.33 Mn |
| Nov 30, 2019 | 3.10 Mn |
| Aug 31, 2019 | 3.03 Mn |
API Access
Oramed Pharmaceuticals 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=ORMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ORMP", "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=ORMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();