Oramed Pharmaceuticals (ORMP) Accumulated Expenses (2023 - 2026)
Oramed Pharmaceuticals' Accumulated Expenses came in at $1.26 million for Q2 2026, up 50.2% from $841,000 a year earlier and up 12.7% from the prior quarter.
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Analysis
Oramed Pharmaceuticals (ORMP) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Oramed Pharmaceuticals' Accumulated Expenses was $1.08 million, up 169.7% from FY2024.
- Going back by year, Accumulated Expenses was $402,000 in FY2024 (-33.6%) and $605,000 in FY2023.
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2023.
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 56.6% over the last four quarters.
- Business Quant data shows ORMP's Accumulated Expenses at $1.12 million (Q1 2026), $1.08 million (Q4 2025) and $585,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Oramed Pharmaceuticals | 192.94 Mn | 192.94 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 Mn |
| Mar 31, 2026 | 1.12 Mn |
| Dec 31, 2025 | 1.08 Mn |
| Sep 30, 2025 | 585,000.00 |
| Jun 30, 2025 | 841,000.00 |
| Mar 31, 2025 | 800,000.00 |
| Dec 31, 2024 | 402,000.00 |
| Dec 31, 2023 | 605,000.00 |
API Access
Oramed Pharmaceuticals 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=ORMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ORMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();