Palatin Technologies (PTN) Other Accumulated Expenses (2015 - 2026)
Palatin Technologies' Other Accumulated Expenses came in at $178,064 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 5.7% from $188,769 a year earlier but up 16.6% from the prior quarter.
Palatin Technologies (PTN) Other Accumulated Expenses (2015 - 2026) Analysis & Trends
Going back to fiscal Q4 2015, Palatin Technologies' Other Accumulated Expenses data covers 36 quarters.
- Other Accumulated Expenses has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -45.6% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $188,769 in FY2025 (-80.0%), $944,150 in FY2024 (-75.5%), $3.86 million in FY2023 (-33.0%) and $5.75 million in FY2022 (+54.6%).
- The five-year range for quarterly Other Accumulated Expenses is $7,940 (fiscal Q2 2026) to $7.07 million (fiscal Q2 2022).
- Year-over-year, Other Accumulated Expenses has declined for 15 consecutive quarters, with an average decline of 66.9% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q2 2022 (growth of 599.6%), and the weakest in fiscal Q2 2026 (a decline of 99.1%).
- Business Quant data shows PTN's Other Accumulated Expenses at $152,746 (Q3 2026), $7,940 (Q2 2026) and $173,549 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn |
| 10 | Palatin Technologies | 14.07 Mn | -19.34 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 178,064.00 |
| Mar 31, 2026 | 152,746.00 |
| Dec 31, 2025 | 7,940.00 |
| Sep 30, 2025 | 173,549.00 |
| Jun 30, 2025 | 188,769.00 |
| Mar 31, 2025 | 1.58 Mn |
| Dec 31, 2024 | 932,150.00 |
| Sep 30, 2024 | 1.00 Mn |
| Jun 30, 2024 | 944,150.00 |
| Mar 31, 2024 | 2.28 Mn |
| Dec 31, 2023 | 3.53 Mn |
| Sep 30, 2023 | 3.75 Mn |
| Jun 30, 2023 | 3.86 Mn |
| Mar 31, 2023 | 3.12 Mn |
| Dec 31, 2022 | 4.09 Mn |
| Sep 30, 2022 | 5.52 Mn |
| Jun 30, 2022 | 5.75 Mn |
| Mar 31, 2022 | 5.93 Mn |
| Dec 31, 2021 | 7.07 Mn |
| Sep 30, 2021 | 3.68 Mn |
Palatin Technologies Other Accumulated 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=other-accumulated-expenses&ticker=PTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=PTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();