Oncotelic Therapeutics (OTLC) Total Non-Current Liabilities (2010 - 2026)
Oncotelic Therapeutics (OTLC) posted Total Non-Current Liabilities of $127.56 million for Q2 2026, up 665.6% from $16.66 million a year earlier.
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Analysis
Oncotelic Therapeutics (OTLC) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Oncotelic Therapeutics' Total Non-Current Liabilities came in at $129.33 million, up 599.2% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 72.0% (FY2020 to FY2025).
- In prior years, Oncotelic Therapeutics' Total Non-Current Liabilities was $18.5 million in FY2024 (+874.3%), $1.9 million in FY2023 (-88.7%), $16.76 million in FY2022 (+30.4%) and $12.85 million in FY2021 (+49.8%).
- Quarterly Total Non-Current Liabilities has run from a low of $1.9 million in Q4 2023 to a high of $129.33 million in Q4 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in six of the last seven quarters, with growth averaging 477.2%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2024, with growth of 874.3%; the weakest was Q4 2023, with a decline of 88.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Oncotelic Therapeutics | 8.28 Mn | 7.42 Mn | - | 127.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.56 Mn |
| Dec 31, 2025 | 129.33 Mn |
| Sep 30, 2025 | 16.48 Mn |
| Jun 30, 2025 | 16.66 Mn |
| Mar 31, 2025 | 16.86 Mn |
| Dec 31, 2024 | 18.50 Mn |
| Sep 30, 2024 | 2.29 Mn |
| Jun 30, 2024 | 15.81 Mn |
| Mar 31, 2024 | 2.21 Mn |
| Dec 31, 2023 | 1.90 Mn |
| Sep 30, 2023 | 15.39 Mn |
| Jun 30, 2023 | 15.46 Mn |
| Mar 31, 2023 | 14.97 Mn |
| Dec 31, 2022 | 16.76 Mn |
| Sep 30, 2022 | 13.59 Mn |
| Jun 30, 2022 | 13.48 Mn |
| Mar 31, 2022 | 14.21 Mn |
| Dec 31, 2021 | 12.85 Mn |
| Sep 30, 2021 | 12.20 Mn |
| Jun 30, 2021 | 11.53 Mn |
API Access
Oncotelic Therapeutics Total Non-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-non-current-liabilities&ticker=OTLC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "OTLC", "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-non-current-liabilities&ticker=OTLC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();