Genprex (GNPX) Total Liabilities (2016 - 2026)
Genprex's Total Liabilities came in at $2.34 million for Q2 2026, down 3.9% from $2.44 million a year earlier and down 30.6% from the prior quarter.
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Analysis
Genprex (GNPX) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Genprex's Total Liabilities was $2.2 million, down 12.3% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 37.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $2.5 million in FY2024 (-23.0%), $3.25 million in FY2023 (+15.8%), $2.81 million in FY2022 (+77.3%) and $1.59 million in FY2021 (+251.7%).
- The five-year range for quarterly Total Liabilities is $1.16 million (Q3 2021) to $4.84 million (Q1 2023).
- Year-over-year, Total Liabilities increased in three of the last eight quarters, with an average decline of 5.1%.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2022 (growth of 288.6%), and the weakest in Q3 2024 (a decline of 48.3%).
- Business Quant data shows GNPX's Total Liabilities at $3.38 million (Q1 2026), $2.2 million (Q4 2025) and $2.79 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Genprex | 1.48 Mn | -40.66 Mn | - | 2.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.34 Mn |
| Mar 31, 2026 | 3.38 Mn |
| Dec 31, 2025 | 2.20 Mn |
| Sep 30, 2025 | 2.79 Mn |
| Jun 30, 2025 | 2.44 Mn |
| Mar 31, 2025 | 2.14 Mn |
| Dec 31, 2024 | 2.50 Mn |
| Sep 30, 2024 | 2.24 Mn |
| Jun 30, 2024 | 2.26 Mn |
| Mar 31, 2024 | 3.81 Mn |
| Dec 31, 2023 | 3.25 Mn |
| Sep 30, 2023 | 4.34 Mn |
| Jun 30, 2023 | 3.86 Mn |
| Mar 31, 2023 | 4.84 Mn |
| Dec 31, 2022 | 2.81 Mn |
| Sep 30, 2022 | 2.46 Mn |
| Jun 30, 2022 | 2.15 Mn |
| Mar 31, 2022 | 2.38 Mn |
| Dec 31, 2021 | 1.59 Mn |
| Sep 30, 2021 | 1.16 Mn |
API Access
Genprex 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=GNPX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GNPX", "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=GNPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();