Inhibikase Therapeutics (IKT) Receivables (2021 - 2023)
Inhibikase Therapeutics' Receivables came in at $79,604 for Q2 2023, compared with $6,552 a year earlier and up 23.4% from the prior quarter.
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Analysis
Inhibikase Therapeutics (IKT) Receivables (2021 - 2023) Analysis & Trends
At the end of FY2022, Inhibikase Therapeutics' Receivables was $39,881, down 63.8% from FY2021.
- Going back by year, Receivables was $110,141 in FY2021.
- The Q2 2023 figure represents the highest quarterly Receivables since Q4 2021.
- Business Quant data shows IKT's Receivables at $64,521 (Q1 2023), $39,881 (Q4 2022) and $13,842 (Q3 2022) in the three quarters before Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 19.05 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 12.49 Bn |
| 10 | Inhibikase Therapeutics | 288.92 Mn | -296.56 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 79,604.00 |
| Mar 31, 2023 | 64,521.00 |
| Dec 31, 2022 | 39,881.00 |
| Sep 30, 2022 | 13,842.00 |
| Jun 30, 2022 | 6,552.00 |
| Mar 31, 2022 | 47,976.00 |
| Dec 31, 2021 | 110,141.00 |
API Access
Inhibikase Therapeutics Receivables 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=receivables&ticker=IKT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=IKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();