Outlook Therapeutics (OTLK) EBIT Margin (2015 - 2025)
Outlook Therapeutics (OTLK) recorded EBIT Margin of -4744.25% in FY2025 (year ended Sep 30, 2025).
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Analysis
Outlook Therapeutics (OTLK) EBIT Margin (2015 - 2025) Analysis & Trends
Starting with FY2015, Outlook Therapeutics' EBIT Margin history includes 6 fiscal years.
- The FY2025 figure is the highest annual EBIT Margin in data going back to FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 28.21% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 37.86% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -3.52% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 32.97% |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 20.57% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 34.95% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -133.21% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 28.37% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 37.40% |
| 10 | Outlook Therapeutics | 84.78 Mn | 49.03 Mn | -8,265.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -1,046.20% |
| Sep 30, 2019 | -216.83% |
| Jun 30, 2019 | -966.72% |
| Mar 31, 2019 | -1,201.86% |
| Dec 31, 2018 | -960.78% |
| Sep 30, 2018 | -1,608.21% |
| Jun 30, 2018 | -935.35% |
| Mar 31, 2018 | -884.97% |
| Dec 31, 2017 | -411.95% |
| Sep 30, 2017 | -100.29% |
| Jun 30, 2017 | -2,420.14% |
| Mar 31, 2017 | -2,585.60% |
| Dec 31, 2016 | -5,870.30% |
| Sep 30, 2016 | -2,011.04% |
| Jun 30, 2016 | -4,450.95% |
| Mar 31, 2016 | -296.91% |
| Dec 31, 2015 | -1,649.75% |
| Sep 30, 2015 | -3,510.23% |
| Jun 30, 2015 | -853.02% |
| Mar 31, 2015 | -2,829.23% |
API Access
Outlook Therapeutics EBIT 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=ebit-margin&ticker=OTLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-margin", "ticker": "OTLK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebit-margin&ticker=OTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();