Pasithea Therapeutics (KTTA) Operating Expenses (2021 - 2026)
Pasithea Therapeutics (KTTA) posted Operating Expenses of $5.71 million for Q2 2026, up 49.9% from $3.81 million a year earlier and up 17.2% from the prior quarter.
Pasithea Therapeutics (KTTA) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Pasithea Therapeutics was $23.96 million, up 74.2% year-over-year; for FY2025, it was $20.86 million, up 46.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 247.8% (FY2020 to FY2025).
- In prior years, Pasithea Therapeutics' Operating Expenses was $14.25 million in FY2024 (-10.8%), $15.98 million in FY2023 (+26.9%), $12.59 million in FY2022 (+179.4%) and $4.51 million in FY2021.
- Quarterly Operating Expenses has run from a low of $1.27 million in Q3 2021 to a high of $10.26 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last four quarters, with growth averaging 28.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 337.6%; the weakest was Q4 2024, with a decline of 36.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $4.88 million (Q1 2026), $10.26 million (Q4 2025) and $3.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Pasithea Therapeutics | 15.04 Mn | -140.35 Mn | - | 5.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.71 Mn |
| Mar 31, 2026 | 4.88 Mn |
| Dec 31, 2025 | 10.26 Mn |
| Sep 30, 2025 | 3.11 Mn |
| Jun 30, 2025 | 3.81 Mn |
| Mar 31, 2025 | 3.68 Mn |
| Dec 31, 2024 | 3.26 Mn |
| Sep 30, 2024 | 3.00 Mn |
| Jun 30, 2024 | 3.95 Mn |
| Mar 31, 2024 | 4.04 Mn |
| Dec 31, 2023 | 5.15 Mn |
| Sep 30, 2023 | 3.79 Mn |
| Jun 30, 2023 | 3.83 Mn |
| Mar 31, 2023 | 3.21 Mn |
| Dec 31, 2022 | 4.04 Mn |
| Sep 30, 2022 | 2.58 Mn |
| Jun 30, 2022 | 2.61 Mn |
| Mar 31, 2022 | 2.41 Mn |
| Dec 31, 2021 | 1.95 Mn |
| Sep 30, 2021 | 1.27 Mn |
Pasithea 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=KTTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KTTA", "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=KTTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();