Oncotelic Therapeutics (OTLC) Operating Margin (2012 - 2026)
Oncotelic Therapeutics (OTLC) recorded Operating Margin of -337.43% in Q2 2026.
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Analysis
Oncotelic Therapeutics (OTLC) Operating Margin (2012 - 2026) Analysis & Trends
On a TTM basis, Oncotelic Therapeutics' Operating Margin came in at -1227.83% as of Jun 30, 2026; for FY2023, it came in at -9497.16%.
- Annual Operating Margin has a three-year change of -9061.47 percentage points (FY2020 to FY2023).
- Across earlier years, Operating Margin came in at -1825.18% in FY2021 (-1389.49 pp) and -435.69% in FY2020.
- The Q2 2026 figure is the highest quarterly Operating Margin since Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (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% |
| Sep 30, 2023 | 20.68% |
| Mar 31, 2021 | -407.58% |
| Jun 30, 2020 | 0.99% |
| Mar 31, 2020 | -777.06% |
| Sep 30, 2013 | -2,786.32% |
| Dec 31, 2012 | -3,978.57% |
| Mar 31, 2012 | -1,653.51% |
API Access
Oncotelic Therapeutics Operating 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=operating-margin&ticker=OTLC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=OTLC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();