GT Biopharma (GTBP) Total Liabilities (2010 - 2026)
GT Biopharma (GTBP) posted Total Liabilities of $2.42 million for Q1 2026, down 33.6% from $3.64 million a year earlier but up 4.2% from the prior quarter.
GT Biopharma (GTBP) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, GT Biopharma's Total Liabilities came in at $2.32 million, down 60.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -41.9% (FY2020 to FY2025).
- In prior years, GT Biopharma's Total Liabilities was $5.9 million in FY2024 (-11.0%), $6.63 million in FY2023 (+32.6%), $5 million in FY2022 (-51.2%) and $10.26 million in FY2021 (-70.8%).
- Quarterly Total Liabilities has run from a low of $1.32 million in Q3 2025 to a high of $33 million in Q2 2025 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with an average decline of 37.0% over the last six quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2022, with growth of 166.5%; the weakest was Q2 2021, with a decline of 88.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.32 million (Q4 2025), $1.32 million (Q3 2025) and $33 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | GT Biopharma | 6.53 Mn | -16.96 Mn | - | 2.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.42 Mn |
| Dec 31, 2025 | 2.32 Mn |
| Sep 30, 2025 | 1.32 Mn |
| Jun 30, 2025 | 33.00 Mn |
| Mar 31, 2025 | 3.64 Mn |
| Dec 31, 2024 | 5.90 Mn |
| Sep 30, 2024 | 4.66 Mn |
| Mar 31, 2024 | 4.60 Mn |
| Dec 31, 2023 | 6.63 Mn |
| Sep 30, 2023 | 6.14 Mn |
| Jun 30, 2023 | 6.38 Mn |
| Mar 31, 2023 | 7.03 Mn |
| Dec 31, 2022 | 5.00 Mn |
| Sep 30, 2022 | 5.12 Mn |
| Jun 30, 2022 | 8.73 Mn |
| Mar 31, 2022 | 9.65 Mn |
| Dec 31, 2021 | 10.26 Mn |
| Sep 30, 2021 | 3.92 Mn |
| Jun 30, 2021 | 3.28 Mn |
| Mar 31, 2021 | 3.63 Mn |
GT Biopharma 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=GTBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GTBP", "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=GTBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();