Greenwich LifeSciences (GLSI) Total Non-Current Liabilities (2024 - 2026)
Greenwich LifeSciences' Total Non-Current Liabilities was $4.56 million in Q1 2026, up 103.3% from $2.24 million a year earlier but down 11.4% from the prior quarter.
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Analysis
Greenwich LifeSciences (GLSI) Total Non-Current Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Greenwich LifeSciences came in at $5.15 million, up 78.9% from FY2024.
- In earlier years, Total Non-Current Liabilities was $2.88 million in FY2024.
- Quarterly Total Non-Current Liabilities has moved between $1.38 million (Q2 2025) and $5.15 million (Q4 2025) over five years.
Peer Set
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 | Greenwich LifeSciences | 269.56 Mn | 269.56 Mn | - | 4.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.56 Mn |
| Dec 31, 2025 | 5.15 Mn |
| Jun 30, 2025 | 1.38 Mn |
| Mar 31, 2025 | 2.24 Mn |
| Dec 31, 2024 | 2.88 Mn |
API Access
Greenwich LifeSciences 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=GLSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GLSI", "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=GLSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();