Outlook Therapeutics (OTLK) Total Current Liabilities (2015 - 2026)
Outlook Therapeutics' Total Current Liabilities came in at $28.68 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 8.9% from $31.49 million a year earlier and down 26.2% from the prior quarter.
Outlook Therapeutics (OTLK) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Outlook Therapeutics' Total Current Liabilities was $45.81 million, up 7.7% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 23.6% (FY2020 to FY2025).
- Going back by fiscal year, Total Current Liabilities was $42.55 million in FY2024 (-8.9%), $46.73 million in FY2023 (+136.9%), $19.73 million in FY2022 (+192.2%) and $6.75 million in FY2021 (-57.5%).
- The fiscal Q3 2026 figure represents the lowest quarterly Total Current Liabilities since fiscal Q2 2025.
- Year-over-year, Total Current Liabilities increased in four of the last eight quarters, with an average decline of 3.4%.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q1 2024 (growth of 204.8%), and the weakest in fiscal Q4 2021 (a decline of 57.5%).
- Business Quant data shows OTLK's Total Current Liabilities at $38.88 million (Q2 2026), $49.06 million (Q1 2026) and $45.81 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Outlook Therapeutics | 62.90 Mn | 27.15 Mn | -8,265.00 | 28.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.68 Mn |
| Mar 31, 2026 | 38.88 Mn |
| Dec 31, 2025 | 49.06 Mn |
| Sep 30, 2025 | 45.81 Mn |
| Jun 30, 2025 | 31.49 Mn |
| Mar 31, 2025 | 24.82 Mn |
| Dec 31, 2024 | 48.24 Mn |
| Sep 30, 2024 | 42.55 Mn |
| Jun 30, 2024 | 42.55 Mn |
| Mar 31, 2024 | 54.08 Mn |
| Dec 31, 2023 | 45.97 Mn |
| Sep 30, 2023 | 46.73 Mn |
| Jun 30, 2023 | 49.93 Mn |
| Mar 31, 2023 | 43.53 Mn |
| Dec 31, 2022 | 15.08 Mn |
| Sep 30, 2022 | 19.73 Mn |
| Jun 30, 2022 | 18.43 Mn |
| Mar 31, 2022 | 31.41 Mn |
| Dec 31, 2021 | 19.95 Mn |
| Sep 30, 2021 | 6.75 Mn |
Outlook Therapeutics Total Current 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-current-liabilities&ticker=OTLK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=OTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();