Monte Rosa Therapeutics (GLUE) Return on Capital Employed [ROCE] (2021 - 2026)
Monte Rosa Therapeutics' Return on Capital Employed [ROCE] was -27.80% in Q2 2026, down 32.27 percentage points from 4.47% a year earlier but up 0.63 percentage points from the prior quarter.
Monte Rosa Therapeutics (GLUE) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Monte Rosa Therapeutics came in at -14.28%, up 23.57 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a four-year change of +23.83 percentage points (FY2021 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -37.85% in FY2024 (+13.98 pp), -51.83% in FY2023 (-17.65 pp), -34.18% in FY2022 (+3.93 pp) and -38.12% in FY2021.
- Quarterly Return on Capital Employed [ROCE] has moved between -61.95% (Q4 2023) and 4.47% (Q2 2025) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in six of the last eight quarters, with an average year-over-year change of +20.54 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q1 2025 (a gain of 58.43 percentage points); the worst was Q2 2026 (a drop of 32.27 percentage points).
- Per Business Quant data, GLUE's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -28.43% (Q1 2026), -13.90% (Q4 2025) and 2.44% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Monte Rosa Therapeutics | 894.88 Mn | 306.69 Mn | - | -27.80% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -27.80% |
| Mar 31, 2026 | -28.43% |
| Dec 31, 2025 | -13.90% |
| Sep 30, 2025 | 2.44% |
| Jun 30, 2025 | 4.47% |
| Mar 31, 2025 | -0.60% |
| Dec 31, 2024 | -36.88% |
| Sep 30, 2024 | -44.79% |
| Jun 30, 2024 | -52.99% |
| Mar 31, 2024 | -59.03% |
| Dec 31, 2023 | -61.95% |
| Sep 30, 2023 | -58.06% |
| Jun 30, 2023 | -48.17% |
| Mar 31, 2023 | -40.09% |
| Dec 31, 2022 | -34.64% |
| Sep 30, 2022 | -30.42% |
| Jun 30, 2022 | -27.82% |
| Mar 31, 2022 | -24.93% |
| Dec 31, 2021 | -20.33% |
| Sep 30, 2021 | -16.89% |
Monte Rosa Therapeutics Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=GLUE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=GLUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();