Outlook Therapeutics (OTLK) Return on Sales [ROS] (2015 - 2026)
Outlook Therapeutics' Return on Sales [ROS] was -854.19% in fiscal Q4 2025 (quarter ended Sep 30, 2025), up 192.01 percentage points from the prior quarter.
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Analysis
Outlook Therapeutics (OTLK) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Return on Sales [ROS] at Outlook Therapeutics came in at -4744.25%.
- The fiscal Q4 2025 figure marks the highest quarterly Return on Sales [ROS] since fiscal Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 28.37% |
| 10 | Outlook Therapeutics | 71.11 Mn | 35.36 Mn | -8,265.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -4,555.19% |
| Dec 31, 2025 | -4,465.09% |
| Sep 30, 2025 | -4,880.02% |
| Jun 30, 2025 | -1,046.20% |
| Dec 31, 2024 | -138,629.87% |
| Jun 30, 2024 | -5,636.10% |
| Dec 31, 2023 | -5,398.42% |
| Sep 30, 2023 | -4,188.40% |
| Jun 30, 2023 | -4,675.07% |
| Mar 31, 2023 | -4,002.79% |
| Sep 30, 2021 | -11,212.71% |
| Dec 31, 2020 | -819.07% |
| Sep 30, 2020 | -616.61% |
| Jun 30, 2020 | -595.62% |
| 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% |
API Access
Outlook Therapeutics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=OTLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=OTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();