Monte Rosa Therapeutics (GLUE) Current Assets (2020 - 2026)
Monte Rosa Therapeutics (GLUE) reported Current Assets of $631.41 million for Q2 2026, up 110.8% from $299.47 million a year earlier but down 6.8% from the prior quarter.
Monte Rosa Therapeutics (GLUE) Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Monte Rosa Therapeutics posted Current Assets of $393.19 million, up 4.2% from FY2024.
- Current Assets has a five-year compound annual growth rate of 55.3% (FY2020 to FY2025).
- By year, Current Assets came in at $377.44 million in FY2024 (+59.8%), $236.21 million in FY2023 (-14.4%), $275.89 million in FY2022 (-20.9%) and $348.67 million in FY2021 (+699.9%).
- Five-year quarterly Current Assets spans a low of $182.91 million in Q3 2023 and a high of $677.55 million in Q1 2026.
- Year over year, Current Assets has now increased in each of the last nine quarters, with growth averaging 56.3% over the last eight quarters.
- The high point for year-over-year Current Assets in five years was Q4 2021 (growth of 699.9%); the low point was Q3 2023 (a decline of 38.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $677.55 million (Q1 2026), $393.19 million (Q4 2025) and $401.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 59.77 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 33.67 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 36.68 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 27.35 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 27.97 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 34.96 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 13.95 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 41.36 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 12.54 Bn |
| 10 | Monte Rosa Therapeutics | 998.00 Mn | 409.81 Mn | - | 631.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 631.41 Mn |
| Mar 31, 2026 | 677.55 Mn |
| Dec 31, 2025 | 393.19 Mn |
| Sep 30, 2025 | 401.82 Mn |
| Jun 30, 2025 | 299.47 Mn |
| Mar 31, 2025 | 332.28 Mn |
| Dec 31, 2024 | 377.44 Mn |
| Sep 30, 2024 | 251.21 Mn |
| Jun 30, 2024 | 277.90 Mn |
| Mar 31, 2024 | 199.04 Mn |
| Dec 31, 2023 | 236.21 Mn |
| Sep 30, 2023 | 182.91 Mn |
| Jun 30, 2023 | 208.10 Mn |
| Mar 31, 2023 | 240.56 Mn |
| Dec 31, 2022 | 275.89 Mn |
| Sep 30, 2022 | 295.24 Mn |
| Jun 30, 2022 | 297.05 Mn |
| Mar 31, 2022 | 320.37 Mn |
| Dec 31, 2021 | 348.67 Mn |
| Sep 30, 2021 | 370.52 Mn |
Monte Rosa Therapeutics 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=current-assets&ticker=GLUE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=GLUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();