Palatin Technologies (PTN) Accumulated Expenses (2011 - 2026)
Palatin Technologies' Accumulated Expenses was $504,158 in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 42.8% from $881,412 a year earlier and down 22.8% from the prior quarter.
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Analysis
Palatin Technologies (PTN) Accumulated Expenses (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Palatin Technologies has reported Accumulated Expenses for 50 quarters.
- Accumulated Expenses has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -38.6% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $881,412 in FY2025 (-78.9%), $4.19 million in FY2024 (-35.7%), $6.51 million in FY2023 (-5.3%) and $6.88 million in FY2022 (+18.6%).
- The fiscal Q4 2026 figure marks the lowest quarterly Accumulated Expenses in data going back to fiscal Q4 2011.
- Compared with a year earlier, Accumulated Expenses was higher in 1 of the last eight quarters, with an average decline of 52.9%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q3 2023 (growth of 74.3%); the worst was fiscal Q1 2026 (a decline of 85.1%).
- Per Business Quant data, PTN's Accumulated Expenses in the three fiscal quarters before Q4 2026 was $653,397 (Q3 2026), $659,841 (Q2 2026) and $679,966 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn |
| 10 | Palatin Technologies | 15.58 Mn | -17.82 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 504,158.00 |
| Mar 31, 2026 | 653,397.00 |
| Dec 31, 2025 | 659,841.00 |
| Sep 30, 2025 | 679,966.00 |
| Jun 30, 2025 | 881,412.00 |
| Mar 31, 2025 | 506,460.00 |
| Dec 31, 2024 | 1.65 Mn |
| Sep 30, 2024 | 4.57 Mn |
| Jun 30, 2024 | 4.19 Mn |
| Mar 31, 2024 | 2.36 Mn |
| Dec 31, 2023 | 5.61 Mn |
| Sep 30, 2023 | 7.15 Mn |
| Jun 30, 2023 | 6.51 Mn |
| Mar 31, 2023 | 5.54 Mn |
| Dec 31, 2022 | 6.07 Mn |
| Sep 30, 2022 | 6.12 Mn |
| Jun 30, 2022 | 6.88 Mn |
| Mar 31, 2022 | 3.18 Mn |
| Dec 31, 2021 | 6.18 Mn |
| Sep 30, 2021 | 4.99 Mn |
API Access
Palatin Technologies 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=accumulated-expenses&ticker=PTN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=PTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();