Outlook Therapeutics (OTLK) Total Liabilities (2015 - 2026)
Outlook Therapeutics' Total Liabilities came in at $36.58 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 38.6% from $59.58 million a year earlier and down 28.1% from the prior quarter.
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Analysis
Outlook Therapeutics (OTLK) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Outlook Therapeutics' Total Liabilities was $50.77 million, down 50.2% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 24.6% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $101.9 million in FY2024 (+118.0%), $46.74 million in FY2023 (+136.2%), $19.79 million in FY2022 (+8.7%) and $18.2 million in FY2021 (+7.7%).
- The fiscal Q3 2026 figure represents the lowest quarterly Total Liabilities since fiscal Q4 2022.
- Year-over-year, Total Liabilities has declined for six consecutive quarters, with an average decline of 8.7% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2024 (growth of 343.9%), and the weakest in fiscal Q2 2025 (a decline of 73.3%).
- Business Quant data shows OTLK's Total Liabilities at $50.89 million (Q2 2026), $56.79 million (Q1 2026) and $50.77 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Outlook Therapeutics | 84.78 Mn | 49.03 Mn | -8,265.00 | 36.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.58 Mn |
| Mar 31, 2026 | 50.89 Mn |
| Dec 31, 2025 | 56.79 Mn |
| Sep 30, 2025 | 50.77 Mn |
| Jun 30, 2025 | 59.58 Mn |
| Mar 31, 2025 | 51.54 Mn |
| Dec 31, 2024 | 67.30 Mn |
| Sep 30, 2024 | 101.90 Mn |
| Jun 30, 2024 | 130.77 Mn |
| Mar 31, 2024 | 193.26 Mn |
| Dec 31, 2023 | 46.03 Mn |
| Sep 30, 2023 | 46.74 Mn |
| Jun 30, 2023 | 49.95 Mn |
| Mar 31, 2023 | 43.54 Mn |
| Dec 31, 2022 | 46.93 Mn |
| Sep 30, 2022 | 19.79 Mn |
| Jun 30, 2022 | 18.51 Mn |
| Mar 31, 2022 | 31.72 Mn |
| Dec 31, 2021 | 29.85 Mn |
| Sep 30, 2021 | 18.20 Mn |
API Access
Outlook Therapeutics Total Liabilities 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=total-liabilities&ticker=OTLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=OTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();