Oncotelic Therapeutics (OTLC) Net Margin (2012 - 2026)
Oncotelic Therapeutics' Net Margin came in at 155.26% for Q2 2026.
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Analysis
Oncotelic Therapeutics (OTLC) Net Margin (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Oncotelic Therapeutics reported Net Margin of 78120.89%; for FY2023, it came in at -11290.13%.
- Net Margin carries a three-year change of -10744.27 percentage points (FY2020 to FY2023).
- Going back by year, Net Margin was -1878.21% in FY2021 (-1332.35 pp) and -545.86% in FY2020.
- The Q2 2026 figure represents the highest quarterly Net Margin since Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | 30.88% |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 21.86% |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | 21.27% |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | -8.04% |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | 23.62% |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | -134.51% |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | -1.65% |
| 10 | Oncotelic Therapeutics | 8.28 Mn | 7.42 Mn | - | 155.26% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.26% |
| Sep 30, 2023 | 164.73% |
| Mar 31, 2021 | -560.62% |
| Jun 30, 2020 | 41.58% |
| Mar 31, 2020 | -1,366.53% |
| Sep 30, 2013 | -5,225.26% |
| Dec 31, 2012 | -3,988.10% |
| Mar 31, 2012 | -1,658.77% |
API Access
Oncotelic Therapeutics Net Margin 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=net-margin&ticker=OTLC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=OTLC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();