Monte Rosa Therapeutics (GLUE) Property, Plant & Equipment (Net) (2020 - 2026)
Monte Rosa Therapeutics (GLUE) recorded Property, Plant & Equipment (Net) of $29.93 million in Q2 2026, up 3.0% from $29.05 million a year earlier and up 5.4% from the prior quarter.
Monte Rosa Therapeutics (GLUE) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Monte Rosa Therapeutics reported Property, Plant & Equipment (Net) of $25.99 million, down 11.9% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 41.2% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $29.48 million in FY2024 (-12.8%), $33.8 million in FY2023 (+24.8%), $27.08 million in FY2022 (+119.7%) and $12.33 million in FY2021 (+166.6%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in 1 of the last eight quarters, with an average decline of 9.2%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 166.6% in Q4 2021, against a decline of 13.8% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $28.41 million (Q1 2026), $25.99 million (Q4 2025) and $27.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 29.29 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 23.58 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 5.80 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 25.74 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 10.69 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 13.62 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 8.55 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 5.83 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 19.03 Bn |
| 10 | Monte Rosa Therapeutics | 894.88 Mn | 306.69 Mn | - | 29.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.93 Mn |
| Mar 31, 2026 | 28.41 Mn |
| Dec 31, 2025 | 25.99 Mn |
| Sep 30, 2025 | 27.60 Mn |
| Jun 30, 2025 | 29.05 Mn |
| Mar 31, 2025 | 29.34 Mn |
| Dec 31, 2024 | 29.48 Mn |
| Sep 30, 2024 | 31.44 Mn |
| Jun 30, 2024 | 33.25 Mn |
| Mar 31, 2024 | 34.04 Mn |
| Dec 31, 2023 | 33.80 Mn |
| Sep 30, 2023 | 34.99 Mn |
| Jun 30, 2023 | 35.34 Mn |
| Mar 31, 2023 | 33.80 Mn |
| Dec 31, 2022 | 27.08 Mn |
| Sep 30, 2022 | 19.38 Mn |
| Jun 30, 2022 | 15.21 Mn |
| Mar 31, 2022 | 13.40 Mn |
| Dec 31, 2021 | 12.33 Mn |
| Sep 30, 2021 | 11.80 Mn |
Monte Rosa Therapeutics Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=GLUE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=GLUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();