Monte Rosa Therapeutics (GLUE) Other Non-Current Assets (2020 - 2026)
Monte Rosa Therapeutics' Other Non-Current Assets came in at $4.94 million for Q2 2026, down 0.2% from $4.95 million a year earlier and down 0.2% from the prior quarter.
Monte Rosa Therapeutics (GLUE) Other Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Monte Rosa Therapeutics' Other Non-Current Assets was $4.95 million, up 1.9% from FY2024.
- Other Non-Current Assets has increased in each of the last three years, with a five-year compound annual growth rate of 33.6% (FY2020 to FY2025).
- Going back by year, Other Non-Current Assets was $4.86 million in FY2024 (+6.2%), $4.58 million in FY2023 (+6.1%), $4.32 million in FY2022 (-19.1%) and $5.34 million in FY2021 (+358.6%).
- The Q2 2026 figure represents the lowest quarterly Other Non-Current Assets since Q1 2025.
- Year-over-year, Other Non-Current Assets increased in seven of the last eight quarters, with growth averaging 2.6%.
- The fastest year-over-year change in Other Non-Current Assets over five years came in Q4 2021 (growth of 358.6%), and the weakest in Q4 2022 (a decline of 19.1%).
- Business Quant data shows GLUE's Other Non-Current Assets at $4.95 million (Q1 2026), $4.95 million (Q4 2025) and $4.95 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 7.70 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 15.10 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 9.42 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 19.90 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 5.93 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | - |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 14.60 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 4.90 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 10.02 Bn |
| 10 | Monte Rosa Therapeutics | 1.08 Bn | 490.53 Mn | - | 10.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.71 Mn |
| Mar 31, 2026 | 10.73 Mn |
| Dec 31, 2025 | 5.10 Mn |
| Sep 30, 2025 | 10.31 Mn |
| Jun 30, 2025 | 4.95 Mn |
| Mar 31, 2025 | 4.88 Mn |
| Dec 31, 2024 | 4.98 Mn |
| Sep 30, 2024 | 4.91 Mn |
| Jun 30, 2024 | 4.87 Mn |
| Mar 31, 2024 | 4.86 Mn |
| Dec 31, 2023 | 4.93 Mn |
| Sep 30, 2023 | 4.52 Mn |
| Jun 30, 2023 | 4.53 Mn |
| Mar 31, 2023 | 5.28 Mn |
| Dec 31, 2022 | 4.60 Mn |
| Sep 30, 2022 | 5.26 Mn |
| Jun 30, 2022 | 5.32 Mn |
| Mar 31, 2022 | 5.33 Mn |
| Dec 31, 2021 | 5.34 Mn |
| Sep 30, 2021 | 1.73 Mn |
Monte Rosa Therapeutics Other 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=other-non-current-assets&ticker=GLUE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=GLUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();