Monte Rosa Therapeutics (GLUE) Cash & Equivalents (2020 - 2026)
Monte Rosa Therapeutics (GLUE) reported Cash & Equivalents of $90.1 million for Q2 2026, up 29.8% from $69.43 million a year earlier but down 43.6% from the prior quarter.
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Analysis
Monte Rosa Therapeutics (GLUE) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Monte Rosa Therapeutics posted Cash & Equivalents of $129.88 million, down 42.1% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 25.5% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $224.25 million in FY2024 (+75.1%), $128.1 million in FY2023 (+133.3%), $54.91 million in FY2022 (-84.1%) and $346.07 million in FY2021 (+729.9%).
- Five-year quarterly Cash & Equivalents spans a low of $47.03 million in Q2 2023 and a high of $367.03 million in Q3 2021.
- Year over year, Cash & Equivalents gained in five of the last eight quarters, with growth averaging 35.9%.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2021 (growth of 729.9%); the low point was Q4 2022 (a decline of 84.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $159.86 million (Q1 2026), $129.88 million (Q4 2025) and $208.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Monte Rosa Therapeutics | 894.88 Mn | 306.69 Mn | - | 90.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.10 Mn |
| Mar 31, 2026 | 159.86 Mn |
| Dec 31, 2025 | 129.88 Mn |
| Sep 30, 2025 | 208.34 Mn |
| Jun 30, 2025 | 69.43 Mn |
| Mar 31, 2025 | 78.53 Mn |
| Dec 31, 2024 | 224.25 Mn |
| Sep 30, 2024 | 125.58 Mn |
| Jun 30, 2024 | 108.85 Mn |
| Mar 31, 2024 | 99.75 Mn |
| Dec 31, 2023 | 128.10 Mn |
| Sep 30, 2023 | 59.06 Mn |
| Jun 30, 2023 | 47.03 Mn |
| Mar 31, 2023 | 51.85 Mn |
| Dec 31, 2022 | 54.91 Mn |
| Sep 30, 2022 | 112.39 Mn |
| Jun 30, 2022 | 103.66 Mn |
| Mar 31, 2022 | 138.31 Mn |
| Dec 31, 2021 | 346.07 Mn |
| Sep 30, 2021 | 367.03 Mn |
API Access
Monte Rosa Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=GLUE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GLUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();