Oncotelic Therapeutics (OTLC) Return on Sales [ROS] (2012 - 2026)
Oncotelic Therapeutics (OTLC) reported Return on Sales [ROS] of -337.43% for Q2 2026.
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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 | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 52.42% |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 30.89% |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 32.98% |
| 10 | Oncotelic Therapeutics | 5.77 Mn | 4.94 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();