Palatin Technologies (PTN) Return on Sales [ROS] (2010 - 2026)
Palatin Technologies (PTN) reported Return on Sales [ROS] of -1469.49% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 1429.17 percentage points from the prior quarter.
Palatin Technologies (PTN) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Palatin Technologies posted Return on Sales [ROS] of -65.74%.
- Return on Sales [ROS] has a five-year change of +11718.85 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at -501.02% in FY2024 (+167.73 pp), -668.75% in FY2023 (+1822.88 pp) and -2491.63% in FY2022 (+9292.97 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -7981.82% in fiscal Q2 2025 and a high of 57.67% in fiscal Q2 2024.
- Year over year, Return on Sales [ROS] gained in three of the last six quarters, with an average year-over-year change of -941.30 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q3 2026 (a gain of 6682.89 percentage points); the low point was fiscal Q2 2025 (a drop of 8039.50 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at -40.32% (Q3 2026), -6315.75% (Q2 2026) and 52.79% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | 28.37% |
| 10 | Palatin Technologies | 14.07 Mn | -19.34 Mn | - | -1,469.49% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,469.49% |
| Mar 31, 2026 | -40.32% |
| Dec 31, 2025 | -6,315.75% |
| Sep 30, 2025 | 52.79% |
| Mar 31, 2025 | -6,723.22% |
| Dec 31, 2024 | -7,981.82% |
| Sep 30, 2024 | -1,013.04% |
| Jun 30, 2024 | -2,383.45% |
| Mar 31, 2024 | -423.11% |
| Dec 31, 2023 | 57.67% |
| Sep 30, 2023 | -290.07% |
| Jun 30, 2023 | -613.99% |
| Mar 31, 2023 | -610.64% |
| Dec 31, 2022 | -544.31% |
| Sep 30, 2022 | -1,006.45% |
| Jun 30, 2022 | -1,699.81% |
| Mar 31, 2022 | -3,618.94% |
| Dec 31, 2021 | -2,623.45% |
| Sep 30, 2021 | -4,524.50% |
| Jun 30, 2021 | -7,245.32% |
Palatin Technologies Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PTN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();