Oramed Pharmaceuticals (ORMP) Times Interest Earned (2009 - 2024)
Oramed Pharmaceuticals' (ORMP) Times Interest Earned stood at -14.98 in FY2024, compared with -7.74 in FY2023.
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Analysis
Oramed Pharmaceuticals (ORMP) Times Interest Earned (2009 - 2024) Analysis & Trends
- Per Business Quant data, ORMP's Times Interest Earned was -7.74 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 28.50 |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.20 |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 5.68 |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.87 |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Oramed Pharmaceuticals | 164.02 Mn | -170.72 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | -12.01 |
| Mar 31, 2024 | -5.00 |
| Dec 31, 2023 | -3.20 |
| Sep 30, 2023 | -3.50 |
| Dec 31, 2022 | -141.68 |
| Nov 30, 2021 | 46.06 |
| Nov 30, 2020 | 485.58 |
| Aug 31, 2020 | 7.13 |
| May 31, 2020 | 284.25 |
| Feb 29, 2020 | 2,018.50 |
| Nov 30, 2019 | -121.45 |
| Aug 31, 2019 | -5.28 |
| May 31, 2019 | -291.29 |
| Feb 28, 2019 | -187.79 |
| Nov 30, 2018 | -580.00 |
| Aug 31, 2018 | -101.61 |
| May 31, 2018 | -156.34 |
| Feb 28, 2018 | -141.41 |
| Nov 30, 2017 | -130.10 |
| Aug 31, 2017 | -79.25 |
API Access
Oramed Pharmaceuticals Times Interest Earned 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=times-interest-earned&ticker=ORMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=ORMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();