Galectin Therapeutics (GALT) Total Non-Current Liabilities (2010 - 2026)
Galectin Therapeutics (GALT) recorded Total Non-Current Liabilities of $153.34 million in Q2 2026, up 15.3% from $132.96 million a year earlier and up 5.9% from the prior quarter.
Galectin Therapeutics (GALT) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Galectin Therapeutics reported Total Non-Current Liabilities of $143.49 million, up 17.4% from FY2024.
- Annual Total Non-Current Liabilities has increased for seven straight years, with a five-year compound annual growth rate of 82.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $122.24 million in FY2024 (+37.1%), $89.16 million in FY2023 (+63.2%), $54.63 million in FY2022 (+37.2%) and $39.8 million in FY2021 (+458.9%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 27 consecutive quarters, with growth averaging 33.5% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 8.1% (Q1 2024) and 596.3% (Q3 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at $144.74 million (Q1 2026), $143.49 million (Q4 2025) and $138.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Galectin Therapeutics | 259.28 Mn | 259.28 Mn | - | 153.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.34 Mn |
| Mar 31, 2026 | 144.74 Mn |
| Dec 31, 2025 | 143.49 Mn |
| Sep 30, 2025 | 138.17 Mn |
| Jun 30, 2025 | 132.96 Mn |
| Mar 31, 2025 | 123.38 Mn |
| Dec 31, 2024 | 122.24 Mn |
| Sep 30, 2024 | 121.02 Mn |
| Jun 30, 2024 | 109.76 Mn |
| Mar 31, 2024 | 68.39 Mn |
| Dec 31, 2023 | 89.16 Mn |
| Sep 30, 2023 | 73.42 Mn |
| Jun 30, 2023 | 72.08 Mn |
| Mar 31, 2023 | 63.25 Mn |
| Dec 31, 2022 | 54.63 Mn |
| Sep 30, 2022 | 41.12 Mn |
| Jun 30, 2022 | 42.21 Mn |
| Mar 31, 2022 | 40.63 Mn |
| Dec 31, 2021 | 39.80 Mn |
| Sep 30, 2021 | 29.32 Mn |
Galectin 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=GALT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=GALT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();