Palatin Technologies (PTN) Total Current Liabilities (2011 - 2026)
Palatin Technologies' Total Current Liabilities was $1.77 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 77.9% from $8.01 million a year earlier and down 30.1% from the prior quarter.
Palatin Technologies (PTN) Total Current Liabilities (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Palatin Technologies has reported Total Current Liabilities for 50 quarters.
- Total Current Liabilities has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -30.0% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $8.01 million in FY2025 (-17.1%), $9.66 million in FY2024 (-36.2%), $15.13 million in FY2023 (-6.9%) and $16.26 million in FY2022 (+54.7%).
- The fiscal Q4 2026 figure marks the lowest quarterly Total Current Liabilities since fiscal Q2 2020.
- Compared with a year earlier, Total Current Liabilities has declined for five straight quarters, with an average decline of 30.6% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q2 2022 (growth of 91.2%); the worst was fiscal Q4 2026 (a decline of 77.9%).
- Per Business Quant data, PTN's Total Current Liabilities in the three fiscal quarters before Q4 2026 was $2.54 million (Q3 2026), $6.33 million (Q2 2026) and $8.22 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 47.74 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 54.90 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 41.64 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 27.73 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 25.50 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 11.02 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 32.65 Bn |
| 10 | Palatin Technologies | 16.21 Mn | -17.19 Mn | - | 1.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.77 Mn |
| Mar 31, 2026 | 2.54 Mn |
| Dec 31, 2025 | 6.33 Mn |
| Sep 30, 2025 | 8.22 Mn |
| Jun 30, 2025 | 8.01 Mn |
| Mar 31, 2025 | 10.05 Mn |
| Dec 31, 2024 | 9.56 Mn |
| Sep 30, 2024 | 9.86 Mn |
| Jun 30, 2024 | 9.66 Mn |
| Mar 31, 2024 | 8.53 Mn |
| Dec 31, 2023 | 11.20 Mn |
| Sep 30, 2023 | 13.61 Mn |
| Jun 30, 2023 | 15.13 Mn |
| Mar 31, 2023 | 11.85 Mn |
| Dec 31, 2022 | 11.42 Mn |
| Sep 30, 2022 | 15.86 Mn |
| Jun 30, 2022 | 16.26 Mn |
| Mar 31, 2022 | 11.98 Mn |
| Dec 31, 2021 | 13.86 Mn |
| Sep 30, 2021 | 9.79 Mn |
Palatin Technologies Total 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-current-liabilities&ticker=PTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "PTN", "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-current-liabilities&ticker=PTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();