Oramed Pharmaceuticals (ORMP) Cash & Equivalents (2010 - 2026)
Oramed Pharmaceuticals (ORMP) recorded Cash & Equivalents of $15.25 million in Q2 2026, down 3.5% from $15.8 million a year earlier but up 15.5% from the prior quarter.
Oramed Pharmaceuticals (ORMP) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Oramed Pharmaceuticals reported Cash & Equivalents of $45.95 million, down 15.6% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $54.42 million in FY2024 (+501.0%), $9.06 million in FY2023 (-77.6%), $40.46 million in FY2022 and $77.25 million in FY2021 (+300.3%).
- Quarterly Cash & Equivalents has ranged from $9.06 million in Q4 2023 to $77.25 million in Q4 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for three consecutive quarters, with growth averaging 140.2% over the last five quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 516.5% in Q3 2021, against a decline of 82.3% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.2 million (Q1 2026), $45.95 million (Q4 2025) and $52.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Oramed Pharmaceuticals | 185.09 Mn | 185.09 Mn | - | 15.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.25 Mn |
| Mar 31, 2026 | 13.20 Mn |
| Dec 31, 2025 | 45.95 Mn |
| Sep 30, 2025 | 52.18 Mn |
| Jun 30, 2025 | 15.80 Mn |
| Mar 31, 2025 | 74.52 Mn |
| Dec 31, 2024 | 54.42 Mn |
| Mar 31, 2024 | 18.58 Mn |
| Dec 31, 2023 | 9.06 Mn |
| Dec 31, 2022 | 40.46 Mn |
| Nov 30, 2021 | 31.88 Mn |
| Aug 31, 2021 | 77.25 Mn |
| May 31, 2021 | 57.41 Mn |
| Feb 28, 2021 | 33.81 Mn |
| Nov 30, 2020 | 14.93 Mn |
| Aug 31, 2020 | 19.30 Mn |
| May 31, 2020 | 9.31 Mn |
| Feb 29, 2020 | 5.93 Mn |
| Nov 30, 2019 | 3.17 Mn |
| Aug 31, 2019 | 3.33 Mn |
Oramed Pharmaceuticals Cash & Equivalents 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=cash-and-equivalents&ticker=ORMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ORMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();