Palatin Technologies (PTN) Research & Development (2010 - 2026)
Palatin Technologies' Research & Development was $2.01 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 1.8% from $1.97 million a year earlier but down 43.0% from the prior quarter.
Palatin Technologies (PTN) Research & Development (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Research & Development at Palatin Technologies came in at $12.37 million, down 17.0% from FY2025.
- Research & Development has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -0.9% (FY2021 to FY2026).
- In earlier fiscal years, Research & Development was $14.9 million in FY2025 (-33.5%), $22.4 million in FY2024 (-1.0%), $22.63 million in FY2023 (+6.1%) and $21.33 million in FY2022 (+65.0%).
- Quarterly Research & Development has moved between $1.97 million (fiscal Q4 2025) and $7.44 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, Research & Development was higher in three of the last eight quarters, with an average decline of 20.5%.
- The best year-over-year quarter for Research & Development over five years was fiscal Q4 2022 (growth of 113.6%); the worst was fiscal Q4 2025 (a decline of 57.8%).
- Per Business Quant data, PTN's Research & Development in the three fiscal quarters before Q4 2026 was $3.52 million (Q3 2026), $4.32 million (Q2 2026) and $2.53 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Palatin Technologies | 16.21 Mn | -17.19 Mn | - | 2.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.01 Mn |
| Mar 31, 2026 | 3.52 Mn |
| Dec 31, 2025 | 4.32 Mn |
| Sep 30, 2025 | 2.53 Mn |
| Jun 30, 2025 | 1.97 Mn |
| Mar 31, 2025 | 3.76 Mn |
| Dec 31, 2024 | 3.43 Mn |
| Sep 30, 2024 | 5.74 Mn |
| Jun 30, 2024 | 4.67 Mn |
| Mar 31, 2024 | 7.16 Mn |
| Dec 31, 2023 | 5.55 Mn |
| Sep 30, 2023 | 5.01 Mn |
| Jun 30, 2023 | 7.41 Mn |
| Mar 31, 2023 | 4.83 Mn |
| Dec 31, 2022 | 4.37 Mn |
| Sep 30, 2022 | 6.03 Mn |
| Jun 30, 2022 | 7.44 Mn |
| Mar 31, 2022 | 4.98 Mn |
| Dec 31, 2021 | 5.43 Mn |
| Sep 30, 2021 | 3.48 Mn |
Palatin Technologies Research & Development 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=research-and-development&ticker=PTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=PTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();