Palatin Technologies (PTN) Total Liabilities (2011 - 2026)
Palatin Technologies (PTN) posted Total Liabilities of $1.84 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 77.2% from $8.04 million a year earlier and down 30.2% from the prior quarter.
Palatin Technologies (PTN) Total Liabilities (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Palatin Technologies has reported Total Liabilities for 50 quarters.
- Annual Total Liabilities has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -36.4% (FY2021 to FY2026).
- In prior fiscal years, Palatin Technologies' Total Liabilities was $8.04 million in FY2025 (-25.9%), $10.85 million in FY2024 (-45.5%), $19.92 million in FY2023 (+0.6%) and $19.8 million in FY2022 (+12.2%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Total Liabilities since fiscal Q2 2020.
- On a year-over-year basis, Total Liabilities has declined in each of the last five quarters, with an average decline of 41.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2024, with growth of 22.0%; the weakest was fiscal Q4 2026, with a decline of 77.2%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $2.63 million (Q3 2026), $6.46 million (Q2 2026) and $8.22 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,135.99 Bn | 1,104.58 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 616.90 Bn | 535.42 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 501.56 Bn | 474.68 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 367.41 Bn | 321.79 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.45 Bn | 235.13 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 236.48 Bn | 191.88 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 190.56 Bn | 164.76 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 169.46 Bn | 116.11 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Palatin Technologies | 15.52 Mn | -17.88 Mn | - | 1.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.84 Mn |
| Mar 31, 2026 | 2.63 Mn |
| Dec 31, 2025 | 6.46 Mn |
| Sep 30, 2025 | 8.22 Mn |
| Jun 30, 2025 | 8.04 Mn |
| Mar 31, 2025 | 10.12 Mn |
| Dec 31, 2024 | 10.69 Mn |
| Sep 30, 2024 | 11.10 Mn |
| Jun 30, 2024 | 10.85 Mn |
| Mar 31, 2024 | 9.83 Mn |
| Dec 31, 2023 | 24.94 Mn |
| Sep 30, 2023 | 17.57 Mn |
| Jun 30, 2023 | 19.92 Mn |
| Mar 31, 2023 | 19.03 Mn |
| Dec 31, 2022 | 20.45 Mn |
| Sep 30, 2022 | 19.19 Mn |
| Jun 30, 2022 | 19.80 Mn |
| Mar 31, 2022 | 15.73 Mn |
| Dec 31, 2021 | 17.80 Mn |
| Sep 30, 2021 | 16.76 Mn |
Palatin Technologies Total 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-liabilities&ticker=PTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=PTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();