Outlook Therapeutics (OTLK) Revenue (2015 - 2025)
Outlook Therapeutics (OTLK) reported Revenue of -$91,787 for fiscal Q4 2025 (quarter ended Sep 30, 2025).
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Analysis
Outlook Therapeutics (OTLK) Revenue (2015 - 2025) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Outlook Therapeutics posted Revenue of $1.41 million.
- The fiscal Q4 2025 figure ranks as the lowest quarterly Revenue in data going back to fiscal Q2 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 3.33 Bn |
| 10 | Outlook Therapeutics | 77.94 Mn | 42.19 Mn | -8,265.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -91,787.00 |
| Jun 30, 2025 | 1.51 Mn |
| Sep 30, 2019 | 5.85 Mn |
| Jun 30, 2019 | 583,848.00 |
| Mar 31, 2019 | 641,140.00 |
| Dec 31, 2018 | 1.07 Mn |
| Sep 30, 2018 | 771,890.00 |
| Jun 30, 2018 | 771,890.00 |
| Mar 31, 2018 | 771,890.00 |
| Dec 31, 2017 | 771,890.00 |
| Sep 30, 2017 | 2.90 Mn |
| Jun 30, 2017 | 303,140.00 |
| Mar 31, 2017 | 303,140.00 |
| Dec 31, 2016 | 303,140.00 |
| Sep 30, 2016 | 494,894.00 |
| Jun 30, 2016 | 494,894.00 |
| Mar 31, 2016 | 994,894.00 |
| Dec 31, 2015 | 994,894.00 |
| Sep 30, 2015 | 494,894.00 |
| Jun 30, 2015 | 1.29 Mn |
API Access
Outlook Therapeutics Revenue 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=revenue&ticker=OTLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=OTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();