Monte Rosa Therapeutics (GLUE) Prepaid Assets (2020 - 2026)
Monte Rosa Therapeutics' Prepaid Assets came in at $5.38 million for Q2 2026, down 17.2% from $6.5 million a year earlier and down 19.9% from the prior quarter.
Monte Rosa Therapeutics (GLUE) Prepaid Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Monte Rosa Therapeutics' Prepaid Assets was $4.48 million, down 12.4% from FY2024.
- Prepaid Assets carries a five-year compound annual growth rate of 18.8% (FY2020 to FY2025).
- Going back by year, Prepaid Assets was $5.12 million in FY2024 (+55.4%), $3.29 million in FY2023 (-25.9%), $4.44 million in FY2022 (+71.3%) and $2.6 million in FY2021 (+37.2%).
- The five-year range for quarterly Prepaid Assets is $2.6 million (Q4 2021) to $8.43 million (Q3 2024).
- Year-over-year, Prepaid Assets increased in four of the last eight quarters, with growth averaging 16.7%.
- The fastest year-over-year change in Prepaid Assets over five years came in Q2 2022 (growth of 136.0%), and the weakest in Q3 2025 (a decline of 33.6%).
- Business Quant data shows GLUE's Prepaid Assets at $6.72 million (Q1 2026), $4.48 million (Q4 2025) and $5.59 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Monte Rosa Therapeutics | 1.02 Bn | 428.56 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.38 Mn |
| Mar 31, 2026 | 6.72 Mn |
| Dec 31, 2025 | 4.48 Mn |
| Sep 30, 2025 | 5.59 Mn |
| Jun 30, 2025 | 6.50 Mn |
| Mar 31, 2025 | 4.80 Mn |
| Dec 31, 2024 | 5.12 Mn |
| Sep 30, 2024 | 8.43 Mn |
| Jun 30, 2024 | 5.85 Mn |
| Mar 31, 2024 | 5.54 Mn |
| Dec 31, 2023 | 3.29 Mn |
| Sep 30, 2023 | 4.14 Mn |
| Jun 30, 2023 | 3.88 Mn |
| Mar 31, 2023 | 5.69 Mn |
| Dec 31, 2022 | 4.44 Mn |
| Sep 30, 2022 | 4.57 Mn |
| Jun 30, 2022 | 2.90 Mn |
| Mar 31, 2022 | 3.20 Mn |
| Dec 31, 2021 | 2.60 Mn |
| Sep 30, 2021 | 3.49 Mn |
Monte Rosa Therapeutics Prepaid 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=prepaid-assets&ticker=GLUE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=GLUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();