Outlook Therapeutics (OTLK) Accumulated Expenses (2015 - 2026)
Outlook Therapeutics' Accumulated Expenses came in at $3.28 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 38.3% from $5.31 million a year earlier and down 63.7% from the prior quarter.
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Analysis
Outlook Therapeutics (OTLK) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Outlook Therapeutics' Accumulated Expenses was $5.31 million, up 64.2% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of -7.3% (FY2020 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $3.24 million in FY2024 (+17.9%), $2.75 million in FY2023 (-19.9%), $3.43 million in FY2022 (+98.6%) and $1.73 million in FY2021 (-77.8%).
- The fiscal Q3 2026 figure represents the lowest quarterly Accumulated Expenses since fiscal Q2 2025.
- Year-over-year, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 44.0%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q2 2026 (growth of 187.4%), and the weakest in fiscal Q4 2021 (a decline of 77.8%).
- Business Quant data shows OTLK's Accumulated Expenses at $9.04 million (Q2 2026), $4.71 million (Q1 2026) and $5.31 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Outlook Therapeutics | 77.94 Mn | 42.19 Mn | -8,265.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.28 Mn |
| Mar 31, 2026 | 9.04 Mn |
| Dec 31, 2025 | 4.71 Mn |
| Sep 30, 2025 | 5.31 Mn |
| Jun 30, 2025 | 5.31 Mn |
| Mar 31, 2025 | 3.15 Mn |
| Dec 31, 2024 | 3.39 Mn |
| Sep 30, 2024 | 3.24 Mn |
| Jun 30, 2024 | 2.68 Mn |
| Mar 31, 2024 | 3.12 Mn |
| Dec 31, 2023 | 4.09 Mn |
| Sep 30, 2023 | 2.75 Mn |
| Jun 30, 2023 | 8.28 Mn |
| Mar 31, 2023 | 6.21 Mn |
| Dec 31, 2022 | 2.75 Mn |
| Sep 30, 2022 | 3.43 Mn |
| Jun 30, 2022 | 3.58 Mn |
| Mar 31, 2022 | 2.55 Mn |
| Dec 31, 2021 | 2.76 Mn |
| Sep 30, 2021 | 1.73 Mn |
API Access
Outlook Therapeutics Accumulated 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=accumulated-expenses&ticker=OTLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=OTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();