COMPASS Pathways (CMPS) Shares Outstanding (2019 - 2026)
COMPASS Pathways' Weighted Average Shares Outstanding came in at 138.72 million for Q3 2026, up 45.5% from 95.34 million a year earlier and up 2.7% from the prior quarter.
COMPASS Pathways (CMPS) Shares Outstanding (2019 - 2026) Analysis & Trends
For FY2025, COMPASS Pathways' Weighted Average Shares Outstanding was 93.5 million, up 38.6% from FY2024.
- Weighted Average Shares Outstanding has increased in each of the last six years, with a five-year compound annual growth rate of 40.6% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 67.48 million in FY2024 (+32.2%), 51.03 million in FY2023 (+20.2%), 42.44 million in FY2022 (+6.1%) and 40 million in FY2021 (+135.4%).
- The Q3 2026 figure represents the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2019.
- Year-over-year, Weighted Average Shares Outstanding has increased for 20 consecutive quarters, with growth averaging 37.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 1.6% in Q1 2023 to 135.4% in Q4 2021.
- Business Quant data shows CMPS's Weighted Average Shares Outstanding at 135.04 million (Q2 2026), 110.06 million (Q1 2026) and 93.5 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 891.90 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.47 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.94 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.55 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 541.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.24 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.70 Bn |
| 10 | COMPASS Pathways | 1.31 Bn | -182.34 Mn | - | 138.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 138.72 Mn |
| Jun 30, 2026 | 135.04 Mn |
| Mar 31, 2026 | 110.06 Mn |
| Dec 31, 2025 | 93.50 Mn |
| Sep 30, 2025 | 95.34 Mn |
| Jun 30, 2025 | 93.34 Mn |
| Mar 31, 2025 | 89.19 Mn |
| Dec 31, 2024 | 67.48 Mn |
| Sep 30, 2024 | 68.40 Mn |
| Jun 30, 2024 | 68.37 Mn |
| Mar 31, 2024 | 64.22 Mn |
| Dec 31, 2023 | 51.03 Mn |
| Sep 30, 2023 | 49.63 Mn |
| Jun 30, 2023 | 45.57 Mn |
| Mar 31, 2023 | 42.73 Mn |
| Dec 31, 2022 | 42.44 Mn |
| Sep 30, 2022 | 42.53 Mn |
| Jun 30, 2022 | 42.47 Mn |
| Mar 31, 2022 | 42.04 Mn |
| Dec 31, 2021 | 40.00 Mn |
COMPASS Pathways 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=CMPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "CMPS", "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=CMPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();