Inhibikase Therapeutics (IKT) Interest Expenses (2020 - 2022)
Inhibikase Therapeutics (IKT) recorded Interest Expenses of $5.00 in Q1 2022, down 100.0% from $11,797 a year earlier and down 96.8% from the prior quarter.
Inhibikase Therapeutics (IKT) Interest Expenses (2020 - 2022) Analysis & Trends
For FY2021, Inhibikase Therapeutics reported Interest Expenses of $19,923, down 32.2% from FY2020.
- Across earlier years, Interest Expenses came in at $29,402 in FY2020.
- The Q1 2022 figure is the lowest quarterly Interest Expenses in data going back to Q1 2020.
- On a year-over-year basis, Interest Expenses has declined for four consecutive quarters, with an average decline of 47.7% over the last five quarters.
- Per Business Quant, the preceding three quarters came in at $158.00 (Q4 2021), $157.00 (Q3 2021) and $7,811 (Q2 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Inhibikase Therapeutics | 359.62 Mn | -225.86 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 5.00 |
| Dec 31, 2021 | 158.00 |
| Sep 30, 2021 | 157.00 |
| Jun 30, 2021 | 7,811.00 |
| Mar 31, 2021 | 11,797.00 |
| Dec 31, 2020 | 7,139.00 |
| Sep 30, 2020 | 6,890.00 |
| Jun 30, 2020 | 7,948.00 |
| Mar 31, 2020 | 7,425.00 |
Inhibikase Therapeutics Interest Expenses 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=interest-expenses&ticker=IKT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=IKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();