Oncotelic Therapeutics (OTLC) Return on Sales [ROS] (2012 - 2026)
Oncotelic Therapeutics (OTLC) reported Return on Sales [ROS] of -337.43% for Q2 2026.
Powered by 
Analysis
Oncotelic Therapeutics (OTLC) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Oncotelic Therapeutics' Return on Sales [ROS] came in at -1227.83%; for FY2023, it was -9497.16%.
- Return on Sales [ROS] has a three-year change of -9061.47 percentage points (FY2020 to FY2023).
- By year, Return on Sales [ROS] came in at -1825.18% in FY2021 (-1389.49 pp) and -435.69% in FY2020.
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | 28.37% |
| 10 | Oncotelic Therapeutics | 8.28 Mn | 7.42 Mn | - | -337.43% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -337.43% |
| Dec 31, 2023 | -9,550.01% |
| Sep 30, 2023 | 20.68% |
| Dec 31, 2021 | -1,825.18% |
| Sep 30, 2021 | -2,188.61% |
| Jun 30, 2021 | -2,150.07% |
| Mar 31, 2021 | -407.58% |
| Dec 31, 2020 | -435.59% |
| Sep 30, 2020 | -315.60% |
| Jun 30, 2020 | 0.99% |
| Mar 31, 2020 | -777.06% |
| Dec 31, 2013 | -6,043.80% |
| Sep 30, 2013 | -2,786.32% |
| Dec 31, 2012 | -3,978.57% |
| Mar 31, 2012 | -1,653.51% |
API Access
Oncotelic Therapeutics 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=OTLC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OTLC", "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=OTLC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();