Monte Rosa Therapeutics (GLUE) Assets (2020 - 2026)
Monte Rosa Therapeutics' Assets was $691.16 million in Q2 2026, up 92.2% from $359.59 million a year earlier but down 6.1% from the prior quarter.
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Analysis
Monte Rosa Therapeutics (GLUE) Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Assets at Monte Rosa Therapeutics came in at $448.66 million, up 2.3% from FY2024.
- Assets shows a five-year compound annual growth rate of 55.5% (FY2020 to FY2025).
- In earlier years, Assets was $438.73 million in FY2024 (+44.4%), $303.76 million in FY2023 (-11.3%), $342.39 million in FY2022 (-6.5%) and $366.33 million in FY2021 (+641.9%).
- Quarterly Assets has moved between $252.1 million (Q3 2023) and $736.43 million (Q1 2026) over five years.
- Compared with a year earlier, Assets has increased for nine straight quarters, with growth averaging 43.6% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was Q4 2021 (growth of 641.9%); the worst was Q3 2023 (a decline of 29.5%).
- Per Business Quant data, GLUE's Assets in the three quarters before Q2 2026 was $736.43 million (Q1 2026), $448.66 million (Q4 2025) and $459.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 148.07 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 197.43 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 147.68 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 132.77 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 122.03 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 115.83 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 96.05 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 51.41 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 205.00 Bn |
| 10 | Monte Rosa Therapeutics | 1.08 Bn | 490.53 Mn | - | 691.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 691.16 Mn |
| Mar 31, 2026 | 736.43 Mn |
| Dec 31, 2025 | 448.66 Mn |
| Sep 30, 2025 | 459.84 Mn |
| Jun 30, 2025 | 359.59 Mn |
| Mar 31, 2025 | 393.20 Mn |
| Dec 31, 2024 | 438.73 Mn |
| Sep 30, 2024 | 315.08 Mn |
| Jun 30, 2024 | 344.11 Mn |
| Mar 31, 2024 | 266.75 Mn |
| Dec 31, 2023 | 303.76 Mn |
| Sep 30, 2023 | 252.10 Mn |
| Jun 30, 2023 | 278.62 Mn |
| Mar 31, 2023 | 309.03 Mn |
| Dec 31, 2022 | 342.39 Mn |
| Sep 30, 2022 | 357.60 Mn |
| Jun 30, 2022 | 365.06 Mn |
| Mar 31, 2022 | 346.01 Mn |
| Dec 31, 2021 | 366.33 Mn |
| Sep 30, 2021 | 384.05 Mn |
API Access
Monte Rosa Therapeutics 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=assets&ticker=GLUE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=GLUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();