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 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 74.39% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 19.33% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 5.63% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 21.60% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 72.13% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -31.17% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 4.66% |
| 10 | Monte Rosa Therapeutics | 897.23 Mn | 472.20 Mn | - | -27.02% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -27.02% |
| Jun 30, 2026 | -32.28% |
| Mar 31, 2026 | -34.82% |
| Dec 31, 2025 | -16.33% |
| Sep 30, 2025 | 7.79% |
| Jun 30, 2025 | 8.64% |
| Mar 31, 2025 | 2.22% |
| Dec 31, 2024 | -34.24% |
| Sep 30, 2024 | -55.92% |
| Jun 30, 2024 | -69.70% |
| Mar 31, 2024 | -82.34% |
| Dec 31, 2023 | -74.95% |
| Sep 30, 2023 | -66.17% |
| Jun 30, 2023 | -54.44% |
| Mar 31, 2023 | -44.98% |
| Dec 31, 2022 | -38.48% |
| Sep 30, 2022 | -34.33% |
| Jun 30, 2022 | -30.17% |
| Mar 31, 2022 | -25.79% |
| Dec 31, 2021 | -20.90% |
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();