Palatin Technologies (PTN) Total Non-Current Liabilities (2011 - 2024)
Palatin Technologies (PTN) reported Total Non-Current Liabilities of $9.99 million for fiscal Q1 2025 (quarter ended Sep 30, 2024), down 35.7% from $15.54 million a year earlier and down 7.9% from the prior quarter.
Palatin Technologies (PTN) Total Non-Current Liabilities (2011 - 2024) Analysis & Trends
At the end of FY2024 (ended Jun 30, 2024), Palatin Technologies posted Total Non-Current Liabilities of $10.85 million, down 39.9% from FY2023.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 21.0% (FY2019 to FY2024).
- By fiscal year, Total Non-Current Liabilities came in at $18.07 million in FY2023 (+6.7%), $16.94 million in FY2022 (+48.5%), $11.41 million in FY2021 (+133.8%) and $4.88 million in FY2020 (+16.6%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $1.37 million in fiscal Q2 2020 and a high of $18.07 million in fiscal Q4 2023.
- Year over year, Total Non-Current Liabilities has now declined in each of the last five quarters, with an average decline of 13.2% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q2 2021 (growth of 489.5%); the low point was fiscal Q2 2020 (a decline of 69.6%).
- Per Business Quant data, the three fiscal quarters before Q1 2025 came in at $10.85 million (Q4 2024), $8.8 million (Q3 2024) and $13.09 million (Q2 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Palatin Technologies | 16.21 Mn | -17.19 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 9.99 Mn |
| Jun 30, 2024 | 10.85 Mn |
| Mar 31, 2024 | 8.80 Mn |
| Dec 31, 2023 | 11.98 Mn |
| Sep 30, 2023 | 15.54 Mn |
| Jun 30, 2023 | 18.07 Mn |
| Mar 31, 2023 | 15.25 Mn |
| Dec 31, 2022 | 16.71 Mn |
| Sep 30, 2022 | 16.45 Mn |
| Jun 30, 2022 | 16.94 Mn |
| Mar 31, 2022 | 9.78 Mn |
| Dec 31, 2021 | 14.78 Mn |
| Sep 30, 2021 | 10.60 Mn |
| Jun 30, 2021 | 11.41 Mn |
| Mar 31, 2021 | 11.02 Mn |
| Dec 31, 2020 | 8.11 Mn |
| Sep 30, 2020 | 13.56 Mn |
| Jun 30, 2020 | 4.88 Mn |
| Mar 31, 2020 | 3.36 Mn |
| Dec 31, 2019 | 1.37 Mn |
Palatin Technologies 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=PTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=PTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();