Monte Rosa Therapeutics (GLUE) Return on Equity [ROE] (2021 - 2026)
Monte Rosa Therapeutics (GLUE) posted Return on Equity [ROE] of -31.94% for Q2 2026, down 40.84 percentage points from 8.90% a year earlier but up 2.52 percentage points from the prior quarter.
Monte Rosa Therapeutics (GLUE) Return on Equity [ROE] (2021 - 2026) Analysis & Trends
For FY2025, Monte Rosa Therapeutics' Return on Equity [ROE] came in at -16.94%, up 19.21 percentage points from FY2024.
- Annual Return on Equity [ROE] shows a four-year change of +31.84 percentage points (FY2021 to FY2025).
- In prior years, Monte Rosa Therapeutics' Return on Equity [ROE] was -36.15% in FY2024 (+23.92 pp), -60.07% in FY2023 (-25.01 pp), -35.06% in FY2022 (+13.72 pp) and -48.79% in FY2021.
- Quarterly Return on Equity [ROE] has run from a low of -81.56% in Q1 2024 to a high of 8.90% in Q2 2025 over five years.
- On a year-over-year basis, Return on Equity [ROE] increased in six of the last eight quarters, with an average year-over-year change of +27.19 percentage points.
- The strongest year-over-year quarter for Return on Equity [ROE] in the past five years was Q1 2025, with a gain of 84.03 percentage points; the weakest was Q2 2026, with a drop of 40.84 percentage points.
- According to Business Quant data, Return on Equity [ROE] for the three prior quarters was -34.45% (Q1 2026), -16.13% (Q4 2025) and 8.15% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.32% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 7.21% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 84.40% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 21.39% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.75% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -18.38% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.97% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 22.24% |
| 10 | Monte Rosa Therapeutics | 1.02 Bn | 428.56 Mn | - | -31.94% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -31.94% |
| Mar 31, 2026 | -34.45% |
| Dec 31, 2025 | -16.13% |
| Sep 30, 2025 | 8.15% |
| Jun 30, 2025 | 8.90% |
| Mar 31, 2025 | 2.47% |
| Dec 31, 2024 | -33.95% |
| Sep 30, 2024 | -55.52% |
| Jun 30, 2024 | -69.16% |
| Mar 31, 2024 | -81.56% |
| Dec 31, 2023 | -74.42% |
| Sep 30, 2023 | -66.75% |
| Jun 30, 2023 | -54.80% |
| Mar 31, 2023 | -45.27% |
| Dec 31, 2022 | -38.71% |
| Sep 30, 2022 | -34.22% |
| Jun 30, 2022 | -29.95% |
| Mar 31, 2022 | -25.45% |
| Dec 31, 2021 | -20.33% |
| Sep 30, 2021 | -16.92% |
Monte Rosa Therapeutics Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=GLUE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=GLUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();