Oramed Pharmaceuticals (ORMP) Total Liabilities (2011 - 2026)
Oramed Pharmaceuticals' Total Liabilities came in at $52.17 million for Q2 2026, up 544.0% from $8.1 million a year earlier and up 70.7% from the prior quarter.
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Analysis
Oramed Pharmaceuticals (ORMP) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Oramed Pharmaceuticals' Total Liabilities was $31.12 million, up 213.4% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 21.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $9.93 million in FY2024 (-82.8%), $57.66 million in FY2023 (+449.9%), $10.49 million in FY2022 (-6.5%) and $11.21 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Total Liabilities since Q4 2023.
- Year-over-year, Total Liabilities has increased for five consecutive quarters, with growth averaging 110.8% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2023 (growth of 632.2%), and the weakest in Q3 2024 (a decline of 88.4%).
- Business Quant data shows ORMP's Total Liabilities at $30.57 million (Q1 2026), $31.12 million (Q4 2025) and $17.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Oramed Pharmaceuticals | 196.24 Mn | 196.24 Mn | - | 52.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.17 Mn |
| Mar 31, 2026 | 30.57 Mn |
| Dec 31, 2025 | 31.12 Mn |
| Sep 30, 2025 | 17.21 Mn |
| Jun 30, 2025 | 8.10 Mn |
| Mar 31, 2025 | 7.65 Mn |
| Dec 31, 2024 | 9.93 Mn |
| Sep 30, 2024 | 9.56 Mn |
| Jun 30, 2024 | 8.07 Mn |
| Mar 31, 2024 | 37.93 Mn |
| Dec 31, 2023 | 57.66 Mn |
| Sep 30, 2023 | 82.66 Mn |
| Jun 30, 2023 | 5.66 Mn |
| Mar 31, 2023 | 9.63 Mn |
| Dec 31, 2022 | 10.49 Mn |
| Sep 30, 2022 | 11.29 Mn |
| Jun 30, 2022 | 9.25 Mn |
| Mar 31, 2022 | 10.00 Mn |
| Nov 30, 2021 | 11.76 Mn |
| Aug 31, 2021 | 11.48 Mn |
API Access
Oramed Pharmaceuticals Total Liabilities 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=total-liabilities&ticker=ORMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ORMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();