Pasithea Therapeutics (KTTA) Total Non-Current Liabilities (2021 - 2026)
Pasithea Therapeutics' Total Non-Current Liabilities was $32,341 in Q2 2026, down 65.5% from $93,741 a year earlier and down 38.9% from the prior quarter.
Pasithea Therapeutics (KTTA) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Pasithea Therapeutics came in at $46,871, down 71.1% from FY2024.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of -57.6% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $162,172 in FY2024 (+92.2%), $84,366 in FY2023 (-89.5%), $804,207 in FY2022 (-44.6%) and $1.45 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Total Non-Current Liabilities in data going back to Q3 2021.
- Compared with a year earlier, Total Non-Current Liabilities has declined for four straight quarters, with an average decline of 17.1% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2022 (growth of 147.2%); the worst was Q1 2024 (a decline of 92.7%).
- Per Business Quant data, KTTA's Total Non-Current Liabilities in the three quarters before Q2 2026 was $52,966 (Q1 2026), $46,871 (Q4 2025) and $46,871 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Pasithea Therapeutics | 14.30 Mn | -141.08 Mn | - | 32,341.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32,341.00 |
| Mar 31, 2026 | 52,966.00 |
| Dec 31, 2025 | 46,871.00 |
| Sep 30, 2025 | 46,871.00 |
| Jun 30, 2025 | 93,741.00 |
| Mar 31, 2025 | 85,305.00 |
| Dec 31, 2024 | 162,172.00 |
| Sep 30, 2024 | 163,578.00 |
| Jun 30, 2024 | 93,272.00 |
| Mar 31, 2024 | 57,650.00 |
| Dec 31, 2023 | 84,366.00 |
| Sep 30, 2023 | 239,876.00 |
| Jun 30, 2023 | 330,139.00 |
| Mar 31, 2023 | 787,630.00 |
| Dec 31, 2022 | 804,207.00 |
| Sep 30, 2022 | 1.31 Mn |
| Jun 30, 2022 | 604,048.00 |
| Mar 31, 2022 | 667,503.00 |
| Dec 31, 2021 | 1.45 Mn |
| Sep 30, 2021 | 528,096.00 |
Pasithea Therapeutics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=KTTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=KTTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();