Galectin Therapeutics (GALT) Total Liabilities (2010 - 2026)
Galectin Therapeutics' Total Liabilities came in at $153.4 million for Q2 2026, up 14.1% from $134.49 million a year earlier and up 3.8% from the prior quarter.
Galectin Therapeutics (GALT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Galectin Therapeutics' Total Liabilities was $147.45 million, up 20.6% from FY2024.
- Total Liabilities has increased in each of the last seven years, with a five-year compound annual growth rate of 83.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $122.29 million in FY2024 (+35.6%), $90.16 million in FY2023 (+63.3%), $55.2 million in FY2022 (+34.9%) and $40.93 million in FY2021 (+474.1%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year-over-year, Total Liabilities has increased for 27 consecutive quarters, with growth averaging 32.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 8.8% in Q1 2024 to 621.3% in Q3 2021.
- Business Quant data shows GALT's Total Liabilities at $147.72 million (Q1 2026), $147.45 million (Q4 2025) and $138.17 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Galectin Therapeutics | 260.61 Mn | 260.61 Mn | - | 153.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.40 Mn |
| Mar 31, 2026 | 147.72 Mn |
| Dec 31, 2025 | 147.45 Mn |
| Sep 30, 2025 | 138.17 Mn |
| Jun 30, 2025 | 134.49 Mn |
| Mar 31, 2025 | 123.51 Mn |
| Dec 31, 2024 | 122.29 Mn |
| Sep 30, 2024 | 123.18 Mn |
| Jun 30, 2024 | 111.53 Mn |
| Mar 31, 2024 | 70.26 Mn |
| Dec 31, 2023 | 90.16 Mn |
| Sep 30, 2023 | 74.76 Mn |
| Jun 30, 2023 | 72.93 Mn |
| Mar 31, 2023 | 64.59 Mn |
| Dec 31, 2022 | 55.20 Mn |
| Sep 30, 2022 | 41.97 Mn |
| Jun 30, 2022 | 42.83 Mn |
| Mar 31, 2022 | 41.53 Mn |
| Dec 31, 2021 | 40.93 Mn |
| Sep 30, 2021 | 30.51 Mn |
Galectin Therapeutics 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=GALT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GALT", "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=GALT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();