Monte Rosa Therapeutics (GLUE) Pension (2020 - 2026)
Monte Rosa Therapeutics (GLUE) posted Pension of $5.24 million for Q2 2026, up 15.0% from $4.56 million a year earlier but down 0.3% from the prior quarter.
Monte Rosa Therapeutics (GLUE) Pension (2020 - 2026) Analysis & Trends
At the end of FY2025, Monte Rosa Therapeutics' Pension came in at $5.27 million, up 42.2% from FY2024.
- Annual Pension has increased for three consecutive years, with a five-year compound annual growth rate of 37.6% (FY2020 to FY2025).
- In prior years, Monte Rosa Therapeutics' Pension was $3.7 million in FY2024 (+36.5%), $2.71 million in FY2023 (+77.0%), $1.53 million in FY2022 (-29.5%) and $2.18 million in FY2021 (+103.9%).
- Quarterly Pension has run from a low of $1.45 million in Q3 2023 to a high of $5.27 million in Q4 2025 over five years.
- On a year-over-year basis, Pension has increased in each of the last 11 quarters, with growth averaging 52.2% over the last eight quarters.
- The strongest year-over-year quarter for Pension in the past five years was Q4 2021, with growth of 103.9%; the weakest was Q3 2023, with a decline of 31.7%.
- According to Business Quant data, Pension for the three prior quarters was $5.26 million (Q1 2026), $5.27 million (Q4 2025) and $4.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn |
| 10 | Monte Rosa Therapeutics | 1.08 Bn | 490.53 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.24 Mn |
| Mar 31, 2026 | 5.26 Mn |
| Dec 31, 2025 | 5.27 Mn |
| Sep 30, 2025 | 4.74 Mn |
| Jun 30, 2025 | 4.56 Mn |
| Mar 31, 2025 | 3.96 Mn |
| Dec 31, 2024 | 3.70 Mn |
| Sep 30, 2024 | 2.82 Mn |
| Jun 30, 2024 | 2.61 Mn |
| Mar 31, 2024 | 2.57 Mn |
| Dec 31, 2023 | 2.71 Mn |
| Sep 30, 2023 | 1.45 Mn |
| Jun 30, 2023 | 1.51 Mn |
| Mar 31, 2023 | 1.51 Mn |
| Dec 31, 2022 | 1.53 Mn |
| Sep 30, 2022 | 2.13 Mn |
| Jun 30, 2022 | 2.14 Mn |
| Mar 31, 2022 | 2.18 Mn |
| Dec 31, 2021 | 2.18 Mn |
| Sep 30, 2021 | 2.00 Mn |
Monte Rosa Therapeutics Pension 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=pension&ticker=GLUE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=GLUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();