Inhibikase Therapeutics (IKT) Return on Sales [ROS] (2020 - 2024)
Inhibikase Therapeutics' Return on Sales [ROS] was -2006393700.00% in Q3 2024, down 2006387706.62 percentage points from -5993.38% a year earlier and down 2006369814.95 percentage points from the prior quarter.
Inhibikase Therapeutics (IKT) Return on Sales [ROS] (2020 - 2024) Analysis & Trends
For FY2023, Return on Sales [ROS] at Inhibikase Therapeutics came in at -7711.98%, up 6974.19 percentage points from FY2022.
- Return on Sales [ROS] shows a three-year change of -7308.46 percentage points (FY2020 to FY2023).
- In earlier years, Return on Sales [ROS] was -14686.17% in FY2022 (-14209.94 pp), -476.23% in FY2021 (-72.71 pp) and -403.52% in FY2020.
- The Q3 2024 figure marks the lowest quarterly Return on Sales [ROS] in data going back to Q1 2020.
- Compared with a year earlier, Return on Sales [ROS] has declined for four straight quarters, with an average year-over-year change of -305797792.22 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2022 (a gain of 252514.77 percentage points); the worst was Q3 2024 (a drop of 2006387706.62 percentage points).
- Per Business Quant data, IKT's Return on Sales [ROS] in the three quarters before Q3 2024 was -23885.05% (Q2 2024), -10285.34% (Q1 2024) and -440356600.00% (Q4 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Inhibikase Therapeutics | 349.14 Mn | -236.33 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -2,006,393,700.00% |
| Jun 30, 2024 | -23,885.05% |
| Mar 31, 2024 | -10,285.34% |
| Dec 31, 2023 | -440,356,600.00% |
| Sep 30, 2023 | -5,993.38% |
| Jun 30, 2023 | -5,328.07% |
| Mar 31, 2023 | -7,307.62% |
| Dec 31, 2022 | -6,819.64% |
| Sep 30, 2022 | -61,899.59% |
| Jun 30, 2022 | -70,817.14% |
| Mar 31, 2022 | -10,081.46% |
| Dec 31, 2021 | -259,334.41% |
| Sep 30, 2021 | -1,361.22% |
| Jun 30, 2021 | -192.83% |
| Mar 31, 2021 | -186.56% |
| Dec 31, 2020 | -704.66% |
| Sep 30, 2020 | -1,761.44% |
| Jun 30, 2020 | -188.50% |
| Mar 31, 2020 | -199.42% |
Inhibikase Therapeutics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=IKT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=IKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();