Inhibikase Therapeutics (IKT) Times Interest Earned (2020 - 2023)
Inhibikase Therapeutics' (IKT) Times Interest Earned came in at -928119.20 for Q1 2022, compared with -222.54 a year earlier.
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Analysis
Inhibikase Therapeutics (IKT) Times Interest Earned (2020 - 2023) Analysis & Trends
For FY2021, Inhibikase Therapeutics' Times Interest Earned stood at -741.16.
- In prior years, Inhibikase Therapeutics' Times Interest Earned was -95.86 in FY2020.
- The Q1 2022 figure stands as the lowest quarterly Times Interest Earned in data going back to Q1 2020.
- According to Business Quant data, Times Interest Earned for the three prior quarters was -31907.98 (Q4 2021), -28477.96 (Q3 2021) and -336.50 (Q2 2021).
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 | Inhibikase Therapeutics | 281.11 Mn | -420.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -27.46 |
| Jun 30, 2023 | 0.00 |
| Mar 31, 2022 | -928,119.20 |
| Dec 31, 2021 | -31,907.98 |
| Sep 30, 2021 | -28,477.96 |
| Jun 30, 2021 | -336.50 |
| Mar 31, 2021 | -222.54 |
| Dec 31, 2020 | -168.21 |
| Sep 30, 2020 | -96.33 |
| Jun 30, 2020 | -52.08 |
| Mar 31, 2020 | -72.73 |
API Access
Inhibikase Therapeutics 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=IKT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "IKT", "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=IKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();