Inhibikase Therapeutics (IKT) Assets (2020 - 2026)
Inhibikase Therapeutics (IKT) posted Assets of $163.59 million for Q2 2026, up 84.1% from $88.85 million a year earlier but down 5.6% from the prior quarter.
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Analysis
Inhibikase Therapeutics (IKT) Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Inhibikase Therapeutics' Assets came in at $181.2 million, up 83.8% from FY2024.
- Annual Assets shows a five-year compound annual growth rate of 65.1% (FY2020 to FY2025).
- In prior years, Inhibikase Therapeutics' Assets was $98.6 million in FY2024 (+579.7%), $14.51 million in FY2023 (-41.8%), $24.94 million in FY2022 (-41.3%) and $42.47 million in FY2021 (+187.3%).
- Quarterly Assets has run from a low of $4.38 million in Q3 2024 to a high of $181.2 million in Q4 2025 over five years.
- On a year-over-year basis, Assets has increased in each of the last three quarters, with growth averaging 344.9% over the last seven quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q2 2025, with growth of 906.6%; the weakest was Q3 2024, with a decline of 75.5%.
- According to Business Quant data, Assets for the three prior quarters was $173.33 million (Q1 2026), $181.2 million (Q4 2025) and $79.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Inhibikase Therapeutics | 357.87 Mn | -227.60 Mn | - | 163.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 163.59 Mn |
| Mar 31, 2026 | 173.33 Mn |
| Dec 31, 2025 | 181.20 Mn |
| Sep 30, 2025 | 79.59 Mn |
| Jun 30, 2025 | 88.85 Mn |
| Mar 31, 2025 | 94.28 Mn |
| Dec 31, 2024 | 98.60 Mn |
| Sep 30, 2024 | 4.38 Mn |
| Jun 30, 2024 | 8.83 Mn |
| Mar 31, 2024 | 11.07 Mn |
| Dec 31, 2023 | 14.51 Mn |
| Sep 30, 2023 | 17.88 Mn |
| Jun 30, 2023 | 22.35 Mn |
| Mar 31, 2023 | 28.16 Mn |
| Dec 31, 2022 | 24.94 Mn |
| Sep 30, 2022 | 28.58 Mn |
| Jun 30, 2022 | 33.99 Mn |
| Mar 31, 2022 | 38.39 Mn |
| Dec 31, 2021 | 42.47 Mn |
| Sep 30, 2021 | 45.87 Mn |
API Access
Inhibikase Therapeutics Assets 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=assets&ticker=IKT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=IKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();