Palatin Technologies (PTN) Operating Expenses (2010 - 2026)
Palatin Technologies (PTN) posted Operating Expenses of $4.72 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 107.9% from $2.27 million a year earlier but down 14.2% from the prior quarter.
Powered by 
Analysis
Palatin Technologies (PTN) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Palatin Technologies' Operating Expenses came in at $21.85 million, up 25.2% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of -8.0% (FY2021 to FY2026).
- In prior fiscal years, Palatin Technologies' Operating Expenses was $17.46 million in FY2025 (-35.3%), $26.99 million in FY2024 (-27.7%), $37.31 million in FY2023 (-2.0%) and $38.06 million in FY2022 (+14.6%).
- Quarterly Operating Expenses has run from a low of $860,968 in fiscal Q2 2024 to a high of $13.87 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 42.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2025, with growth of 203.3%; the weakest was fiscal Q2 2024, with a decline of 87.0%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $5.5 million (Q3 2026), $7.44 million (Q2 2026) and $4.19 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Palatin Technologies | 16.21 Mn | -17.19 Mn | - | 4.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.72 Mn |
| Mar 31, 2026 | 5.50 Mn |
| Dec 31, 2025 | 7.44 Mn |
| Sep 30, 2025 | 4.19 Mn |
| Jun 30, 2025 | 2.27 Mn |
| Mar 31, 2025 | 4.81 Mn |
| Dec 31, 2024 | 2.61 Mn |
| Sep 30, 2024 | 7.76 Mn |
| Jun 30, 2024 | 8.69 Mn |
| Mar 31, 2024 | 9.22 Mn |
| Dec 31, 2023 | 860,968.00 |
| Sep 30, 2023 | 8.21 Mn |
| Jun 30, 2023 | 12.58 Mn |
| Mar 31, 2023 | 8.50 Mn |
| Dec 31, 2022 | 6.61 Mn |
| Sep 30, 2022 | 9.62 Mn |
| Jun 30, 2022 | 13.87 Mn |
| Mar 31, 2022 | 8.04 Mn |
| Dec 31, 2021 | 8.77 Mn |
| Sep 30, 2021 | 7.38 Mn |
API Access
Palatin Technologies Operating 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=operating-expenses&ticker=PTN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=PTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();