Oramed Pharmaceuticals (ORMP) Non-Current Assets (2011 - 2026)
Oramed Pharmaceuticals' Non-Current Assets came in at $316.24 million for Q2 2026, up 404.7% from $62.66 million a year earlier and up 57.6% from the prior quarter.
Powered by 
Analysis
Oramed Pharmaceuticals (ORMP) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025, Oramed Pharmaceuticals' Non-Current Assets was $97.59 million, up 709.4% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 88.3% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $12.06 million in FY2024 (-79.2%), $57.97 million in FY2023, $4.53 million in FY2022 (-84.8%) and $29.88 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Non-Current Assets in data going back to Q4 2011.
- Year-over-year, Non-Current Assets increased in four of the last seven quarters, with growth averaging 188.1%.
- The fastest year-over-year change in Non-Current Assets over five years came in Q4 2025 (growth of 709.4%), and the weakest in Q1 2023 (a decline of 83.9%).
- Business Quant data shows ORMP's Non-Current Assets at $200.7 million (Q1 2026), $97.59 million (Q4 2025) and $84.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Oramed Pharmaceuticals | 196.24 Mn | 196.24 Mn | - | 316.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 316.24 Mn |
| Mar 31, 2026 | 200.70 Mn |
| Dec 31, 2025 | 97.59 Mn |
| Sep 30, 2025 | 84.38 Mn |
| Jun 30, 2025 | 62.66 Mn |
| Mar 31, 2025 | 16.06 Mn |
| Dec 31, 2024 | 12.06 Mn |
| Sep 30, 2024 | 22.31 Mn |
| Jun 30, 2024 | 30.95 Mn |
| Mar 31, 2024 | 26.56 Mn |
| Dec 31, 2023 | 57.97 Mn |
| Sep 30, 2023 | 55.19 Mn |
| Jun 30, 2023 | 5.34 Mn |
| Mar 31, 2023 | 4.62 Mn |
| Dec 31, 2022 | 4.53 Mn |
| Sep 30, 2022 | 4.27 Mn |
| Jun 30, 2022 | 27.42 Mn |
| Mar 31, 2022 | 28.66 Mn |
| Nov 30, 2021 | 30.12 Mn |
| Aug 31, 2021 | 32.66 Mn |
API Access
Oramed Pharmaceuticals Non-Current Assets 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=non-current-assets&ticker=ORMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ORMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();