Outlook Therapeutics (OTLK) Operating Expenses (2015 - 2026)
Outlook Therapeutics (OTLK) reported Operating Expenses of $10.8 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 35.8% from $16.81 million a year earlier and down 22.9% from the prior quarter.
Outlook Therapeutics (OTLK) Operating Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Outlook Therapeutics' Operating Expenses came in at $53.36 million, down 27.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $67.12 million, down 6.4% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $71.7 million in FY2024 (+35.0%), $53.13 million in FY2023 (-15.8%), $63.07 million in FY2022 (+21.9%) and $51.73 million in FY2021 (+40.4%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Operating Expenses since fiscal Q1 2024.
- Year over year, Operating Expenses gained in three of the last eight quarters, with growth averaging 6.2%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q2 2024 (growth of 177.0%); the low point was fiscal Q2 2023 (a decline of 63.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $14.01 million (Q2 2026), $12.25 million (Q1 2026) and $16.31 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Outlook Therapeutics | 86.15 Mn | 50.40 Mn | -8,265.00 | 10.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.80 Mn |
| Mar 31, 2026 | 14.01 Mn |
| Dec 31, 2025 | 12.25 Mn |
| Sep 30, 2025 | 16.31 Mn |
| Jun 30, 2025 | 16.81 Mn |
| Mar 31, 2025 | 12.39 Mn |
| Dec 31, 2024 | 21.61 Mn |
| Sep 30, 2024 | 22.88 Mn |
| Jun 30, 2024 | 19.56 Mn |
| Mar 31, 2024 | 18.94 Mn |
| Dec 31, 2023 | 10.32 Mn |
| Sep 30, 2023 | 12.46 Mn |
| Jun 30, 2023 | 18.14 Mn |
| Mar 31, 2023 | 6.84 Mn |
| Dec 31, 2022 | 15.69 Mn |
| Sep 30, 2022 | 13.99 Mn |
| Jun 30, 2022 | 17.02 Mn |
| Mar 31, 2022 | 18.91 Mn |
| Dec 31, 2021 | 13.15 Mn |
| Sep 30, 2021 | 13.44 Mn |
Outlook Therapeutics Operating Expenses 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-expenses&ticker=OTLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=OTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();