Monte Rosa Therapeutics (GLUE) Shares Outstanding (2020 - 2026)
Monte Rosa Therapeutics' Shares Outstanding was 101.48 million in Q2 2026, up 23.5% from 82.19 million a year earlier and up 1.6% from the prior quarter.
Monte Rosa Therapeutics (GLUE) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Monte Rosa Therapeutics came in at 83.07 million, up 12.4% from FY2024.
- Shares Outstanding has now increased for four consecutive years, with a five-year compound annual growth rate of 122.7% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 73.91 million in FY2024 (+43.8%), 51.4 million in FY2023 (+8.8%), 47.23 million in FY2022 (+88.9%) and 25 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Shares Outstanding in data going back to Q2 2020.
- Compared with a year earlier, Shares Outstanding has increased for 17 straight quarters, with growth averaging 27.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 0.5% (Q3 2025) to 820.4% (Q2 2022).
- Per Business Quant data, GLUE's Shares Outstanding in the three quarters before Q2 2026 was 99.88 million (Q1 2026), 83.07 million (Q4 2025) and 82.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.41 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.94 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 540.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 253.70 Mn |
| 10 | Monte Rosa Therapeutics | 1.02 Bn | 428.56 Mn | - | 101.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.48 Mn |
| Mar 31, 2026 | 99.88 Mn |
| Dec 31, 2025 | 83.07 Mn |
| Sep 30, 2025 | 82.40 Mn |
| Jun 30, 2025 | 82.19 Mn |
| Mar 31, 2025 | 82.15 Mn |
| Dec 31, 2024 | 73.91 Mn |
| Sep 30, 2024 | 82.01 Mn |
| Jun 30, 2024 | 71.23 Mn |
| Mar 31, 2024 | 60.16 Mn |
| Dec 31, 2023 | 51.40 Mn |
| Sep 30, 2023 | 49.81 Mn |
| Jun 30, 2023 | 49.43 Mn |
| Mar 31, 2023 | 49.35 Mn |
| Dec 31, 2022 | 47.23 Mn |
| Sep 30, 2022 | 46.73 Mn |
| Jun 30, 2022 | 46.67 Mn |
| Mar 31, 2022 | 46.60 Mn |
| Dec 31, 2021 | 25.00 Mn |
| Sep 30, 2021 | 45.99 Mn |
Monte Rosa Therapeutics Shares Outstanding 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=shares-outstanding&ticker=GLUE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=GLUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();