Monte Rosa Therapeutics (GLUE) Return on Assets [ROA] (2021 - 2026)
Monte Rosa Therapeutics (GLUE) reported Return on Assets [ROA] of -22.58% for Q2 2026, down 29.00 percentage points from 6.42% a year earlier and down 0.63 percentage points from the prior quarter.
Monte Rosa Therapeutics (GLUE) Return on Assets [ROA] (2021 - 2026) Analysis & Trends
For FY2025, Monte Rosa Therapeutics posted Return on Assets [ROA] of -8.71%, up 10.88 percentage points from FY2024.
- Return on Assets [ROA] has a four-year change of +26.36 percentage points (FY2021 to FY2025).
- By year, Return on Assets [ROA] came in at -19.58% in FY2024 (+22.31 pp), -41.90% in FY2023 (-11.28 pp), -30.62% in FY2022 (+4.45 pp) and -35.06% in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Return on Assets [ROA] since Q3 2024.
- Year over year, Return on Assets [ROA] gained in six of the last eight quarters, with an average year-over-year change of +17.62 percentage points.
- The high point for year-over-year Return on Assets [ROA] in five years was Q2 2025 (a gain of 49.13 percentage points); the low point was Q2 2026 (a drop of 29.00 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -21.95% (Q1 2026), -8.50% (Q4 2025) and 5.11% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.47% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 4.65% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.45% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 28.37% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 9.10% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 9.29% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -6.13% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 2.14% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 16.34% |
| 10 | Monte Rosa Therapeutics | 1.02 Bn | 428.56 Mn | - | -22.58% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -22.58% |
| Mar 31, 2026 | -21.95% |
| Dec 31, 2025 | -8.50% |
| Sep 30, 2025 | 5.11% |
| Jun 30, 2025 | 6.42% |
| Mar 31, 2025 | 1.48% |
| Dec 31, 2024 | -19.29% |
| Sep 30, 2024 | -36.23% |
| Jun 30, 2024 | -42.70% |
| Mar 31, 2024 | -47.43% |
| Dec 31, 2023 | -48.70% |
| Sep 30, 2023 | -50.08% |
| Jun 30, 2023 | -42.65% |
| Mar 31, 2023 | -35.80% |
| Dec 31, 2022 | -31.11% |
| Sep 30, 2022 | -28.08% |
| Jun 30, 2022 | -26.45% |
| Mar 31, 2022 | -24.06% |
| Dec 31, 2021 | -19.43% |
| Sep 30, 2021 | -16.32% |
Monte Rosa Therapeutics Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=GLUE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=GLUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();