Monte Rosa Therapeutics (GLUE) Total Non-Current Liabilities (2025 - 2026)
Monte Rosa Therapeutics (GLUE) posted Total Non-Current Liabilities of $105.6 million for Q2 2026, up 1.8% from the prior quarter.
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Analysis
Monte Rosa Therapeutics (GLUE) Total Non-Current Liabilities (2025 - 2026) Analysis & Trends
At the end of FY2025, Monte Rosa Therapeutics' Total Non-Current Liabilities came in at $111.3 million.
- Quarterly Total Non-Current Liabilities has run from a low of $101.2 million in Q3 2025 to a high of $111.3 million in Q4 2025 over five years.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $103.7 million (Q1 2026), $111.3 million (Q4 2025) and $101.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,133.02 Bn | 1,101.60 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 616.49 Bn | 535.01 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 501.09 Bn | 474.20 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 366.78 Bn | 321.16 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 297.96 Bn | 261.95 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 235.44 Bn | 190.84 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 190.69 Bn | 164.89 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 169.52 Bn | 116.16 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Monte Rosa Therapeutics | 1.14 Bn | 550.40 Mn | - | 105.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.60 Mn |
| Mar 31, 2026 | 103.70 Mn |
| Dec 31, 2025 | 111.30 Mn |
| Sep 30, 2025 | 101.20 Mn |
API Access
Monte Rosa 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=GLUE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GLUE", "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=GLUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();