Inhibikase Therapeutics (IKT) Operating Expenses (2020 - 2026)
Inhibikase Therapeutics (IKT) posted Operating Expenses of $21.05 million for Q2 2026, up 94.3% from $10.83 million a year earlier and up 18.0% from the prior quarter.
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Analysis
Inhibikase Therapeutics (IKT) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Inhibikase Therapeutics was $65.44 million, up 48.1% year-over-year; for FY2025, it was $51.97 million, up 81.8% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 71.4% (FY2020 to FY2025).
- In prior years, Inhibikase Therapeutics' Operating Expenses was $28.59 million in FY2024 (+40.5%), $20.35 million in FY2023 (+11.5%), $18.25 million in FY2022 (+2.2%) and $17.87 million in FY2021 (+408.0%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2020.
- On a year-over-year basis, Operating Expenses has increased in each of the last eight quarters, with growth averaging 97.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 584.3%; the weakest was Q2 2024, with a decline of 20.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $17.84 million (Q1 2026), $13.78 million (Q4 2025) and $12.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 7.68 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 7.61 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Inhibikase Therapeutics | 275.82 Mn | -309.65 Mn | - | 21.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.05 Mn |
| Mar 31, 2026 | 17.84 Mn |
| Dec 31, 2025 | 13.78 Mn |
| Sep 30, 2025 | 12.77 Mn |
| Jun 30, 2025 | 10.83 Mn |
| Mar 31, 2025 | 14.60 Mn |
| Dec 31, 2024 | 12.93 Mn |
| Sep 30, 2024 | 5.83 Mn |
| Jun 30, 2024 | 5.05 Mn |
| Mar 31, 2024 | 4.78 Mn |
| Dec 31, 2023 | 4.40 Mn |
| Sep 30, 2023 | 4.85 Mn |
| Jun 30, 2023 | 6.32 Mn |
| Mar 31, 2023 | 4.78 Mn |
| Dec 31, 2022 | 4.40 Mn |
| Sep 30, 2022 | 4.52 Mn |
| Jun 30, 2022 | 4.65 Mn |
| Mar 31, 2022 | 4.69 Mn |
| Dec 31, 2021 | 5.04 Mn |
| Sep 30, 2021 | 4.80 Mn |
API Access
Inhibikase Therapeutics Operating 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=operating-expenses&ticker=IKT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=IKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();