Monte Rosa Therapeutics (GLUE) Non-Current Assets (2020 - 2026)
Monte Rosa Therapeutics' Non-Current Assets was $59.76 million in Q2 2026, down 0.6% from $60.12 million a year earlier but up 1.5% from the prior quarter.
Monte Rosa Therapeutics (GLUE) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Monte Rosa Therapeutics came in at $55.47 million, down 9.5% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 57.2% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $61.29 million in FY2024 (-9.3%), $67.54 million in FY2023 (+1.6%), $66.5 million in FY2022 (+276.5%) and $17.66 million in FY2021 (+205.2%).
- Quarterly Non-Current Assets has moved between $13.53 million (Q3 2021) and $70.51 million (Q2 2023) over five years.
- Compared with a year earlier, Non-Current Assets has declined for ten straight quarters, with an average decline of 7.3% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q2 2022 (growth of 538.5%); the worst was Q1 2025 (a decline of 10.0%).
- Per Business Quant data, GLUE's Non-Current Assets in the three quarters before Q2 2026 was $58.88 million (Q1 2026), $55.47 million (Q4 2025) and $58.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.62 Bn | 1,103.20 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 616.94 Bn | 535.47 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 501.32 Bn | 474.43 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 367.44 Bn | 321.82 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 298.20 Bn | 262.19 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 261.78 Bn | 235.47 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 235.70 Bn | 191.10 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 190.88 Bn | 165.07 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 169.72 Bn | 116.36 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Monte Rosa Therapeutics | 1.14 Bn | 549.39 Mn | - | 59.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.76 Mn |
| Mar 31, 2026 | 58.88 Mn |
| Dec 31, 2025 | 55.47 Mn |
| Sep 30, 2025 | 58.02 Mn |
| Jun 30, 2025 | 60.12 Mn |
| Mar 31, 2025 | 60.92 Mn |
| Dec 31, 2024 | 61.29 Mn |
| Sep 30, 2024 | 63.87 Mn |
| Jun 30, 2024 | 66.22 Mn |
| Mar 31, 2024 | 67.71 Mn |
| Dec 31, 2023 | 67.54 Mn |
| Sep 30, 2023 | 69.19 Mn |
| Jun 30, 2023 | 70.51 Mn |
| Mar 31, 2023 | 68.47 Mn |
| Dec 31, 2022 | 66.50 Mn |
| Sep 30, 2022 | 62.37 Mn |
| Jun 30, 2022 | 68.01 Mn |
| Mar 31, 2022 | 25.64 Mn |
| Dec 31, 2021 | 17.66 Mn |
| Sep 30, 2021 | 13.53 Mn |
Monte Rosa Therapeutics Non-Current Assets 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=non-current-assets&ticker=GLUE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=GLUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();