Outlook Therapeutics (OTLK) Net Margin (2015 - 2025)
Outlook Therapeutics' Net Margin came in at -4416.22% for FY2025 (year ended Sep 30, 2025).
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Analysis
Outlook Therapeutics (OTLK) Net Margin (2015 - 2025) Analysis & Trends
Going back to FY2015, Outlook Therapeutics' Net Margin data covers 6 fiscal years.
- The FY2025 figure represents the highest annual Net Margin in data going back to FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 30.88% |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 0.83% |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 21.27% |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | -8.04% |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 23.62% |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -134.51% |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | -1.65% |
| 10 | Outlook Therapeutics | 77.15 Mn | 41.40 Mn | -8,265.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -1,338.75% |
| Dec 31, 2024 | 111,495.02% |
| Jun 30, 2024 | 12,794.50% |
| Dec 31, 2023 | -5,845.59% |
| Sep 30, 2023 | -4,367.16% |
| Jun 30, 2023 | -5,328.00% |
| Mar 31, 2023 | -3,895.29% |
| Sep 30, 2021 | -11,186.71% |
| Sep 30, 2019 | -175.25% |
| Jun 30, 2019 | -787.71% |
| Mar 31, 2019 | -1,760.92% |
| Dec 31, 2018 | -926.60% |
| Sep 30, 2018 | -1,638.80% |
| Jun 30, 2018 | -1,176.92% |
| Mar 31, 2018 | -1,108.74% |
| Dec 31, 2017 | -2,296.48% |
| Sep 30, 2017 | -260.16% |
| Jun 30, 2017 | -1,758.72% |
| Mar 31, 2017 | -2,654.21% |
| Dec 31, 2016 | -6,300.21% |
API Access
Outlook 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=OTLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=OTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();