GT Biopharma (GTBP) Total Current Liabilities (2009 - 2026)
GT Biopharma's Total Current Liabilities was $2.22 million in Q2 2026, down 92.9% from $31.04 million a year earlier and down 8.2% from the prior quarter.
GT Biopharma (GTBP) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at GT Biopharma came in at $2.32 million, down 60.7% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of -41.9% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $5.9 million in FY2024 (-11.0%), $6.63 million in FY2023 (+34.3%), $4.94 million in FY2022 (-51.9%) and $10.26 million in FY2021 (-70.8%).
- Quarterly Total Current Liabilities has moved between $1.32 million (Q3 2025) and $31.04 million (Q2 2025) over five years.
- Compared with a year earlier, Total Current Liabilities has declined for four straight quarters, with growth averaging 53.3% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2025 (growth of 725.8%); the worst was Q2 2026 (a decline of 92.9%).
- Per Business Quant data, GTBP's Total Current Liabilities in the three quarters before Q2 2026 was $2.42 million (Q1 2026), $2.32 million (Q4 2025) and $1.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 31.73 Bn |
| 10 | GT Biopharma | 6.65 Mn | -16.58 Mn | - | 2.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.22 Mn |
| Mar 31, 2026 | 2.42 Mn |
| Dec 31, 2025 | 2.32 Mn |
| Sep 30, 2025 | 1.32 Mn |
| Jun 30, 2025 | 31.04 Mn |
| Mar 31, 2025 | 3.64 Mn |
| Dec 31, 2024 | 5.90 Mn |
| Sep 30, 2024 | 4.66 Mn |
| Jun 30, 2024 | 3.76 Mn |
| Mar 31, 2024 | 4.60 Mn |
| Dec 31, 2023 | 6.63 Mn |
| Sep 30, 2023 | 5.09 Mn |
| Jun 30, 2023 | 4.84 Mn |
| Mar 31, 2023 | 4.08 Mn |
| Dec 31, 2022 | 4.94 Mn |
| Sep 30, 2022 | 5.03 Mn |
| Jun 30, 2022 | 8.61 Mn |
| Mar 31, 2022 | 9.50 Mn |
| Dec 31, 2021 | 10.26 Mn |
| Sep 30, 2021 | 3.92 Mn |
GT Biopharma 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=GTBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=GTBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();