Inhibikase Therapeutics (IKT) Prepaid Assets (2020 - 2026)
Inhibikase Therapeutics (IKT) posted Prepaid Assets of $2.35 million for Q2 2026, up 243.8% from $682,628 a year earlier and up 81.5% from the prior quarter.
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Analysis
Inhibikase Therapeutics (IKT) Prepaid Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Inhibikase Therapeutics' Prepaid Assets came in at $1 million, up 21.2% from FY2024.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- In prior years, Inhibikase Therapeutics' Prepaid Assets was $826,473 in FY2024 (+11.8%), $739,179 in FY2023 (-33.9%), $1.12 million in FY2022 (-25.6%) and $1.5 million in FY2021 (+94.1%).
- The Q2 2026 figure stands as the highest quarterly Prepaid Assets in data going back to Q4 2020.
- On a year-over-year basis, Prepaid Assets has increased in each of the last seven quarters, with growth averaging 64.1% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q2 2026, with growth of 243.8%; the weakest was Q3 2023, with a decline of 60.2%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $1.29 million (Q1 2026), $1 million (Q4 2025) and $618,783 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 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 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.35 Mn |
| Mar 31, 2026 | 1.29 Mn |
| Dec 31, 2025 | 1.00 Mn |
| Sep 30, 2025 | 618,783.00 |
| Jun 30, 2025 | 682,628.00 |
| Mar 31, 2025 | 931,992.00 |
| Dec 31, 2024 | 826,473.00 |
| Sep 30, 2024 | 280,914.00 |
| Jun 30, 2024 | 356,487.00 |
| Mar 31, 2024 | 851,057.00 |
| Dec 31, 2023 | 739,179.00 |
| Sep 30, 2023 | 371,538.00 |
| Jun 30, 2023 | 543,923.00 |
| Mar 31, 2023 | 923,128.00 |
| Dec 31, 2022 | 1.12 Mn |
| Sep 30, 2022 | 932,419.00 |
| Jun 30, 2022 | 919,053.00 |
| Mar 31, 2022 | 1.17 Mn |
| Dec 31, 2021 | 1.50 Mn |
| Sep 30, 2021 | 541,388.00 |
API Access
Inhibikase Therapeutics Prepaid 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=prepaid-assets&ticker=IKT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=IKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();