Coya Therapeutics (COYA) Shares Outstanding (Entity) (2021 - 2026)
Coya Therapeutics (COYA) reported Shares Outstanding (Entity) of 23.46 million for Q2 2026, up 40.3% from 16.72 million a year earlier and unchanged from the prior quarter.
Coya Therapeutics (COYA) Shares Outstanding (Entity) (2021 - 2026) Analysis & Trends
For FY2025, Coya Therapeutics posted Shares Outstanding (Entity) of 16.73 million, up 0.1% from FY2024.
- Shares Outstanding (Entity) has increased for three consecutive years, with a four-year compound annual growth rate of 59.4% (FY2021 to FY2025).
- By year, Shares Outstanding (Entity) came in at 16.71 million in FY2024 (+64.4%), 10.16 million in FY2023 (+292.4%), 2.59 million in FY2022 (unchanged) and 2.59 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Entity) in data going back to Q4 2021.
- Year over year, Shares Outstanding (Entity) has now increased in each of the last 14 quarters, with growth averaging 29.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Entity) ranged from 0.0% (Q4 2022) to 292.4% (Q4 2023).
- Per Business Quant data, the three quarters before Q2 2026 came in at 23.46 million (Q1 2026), 16.73 million (Q4 2025) and 16.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,171.06 Bn | 1,139.65 Bn | 19.71 Bn | 941.36 Mn |
| 2 | Johnson & Johnson | 634.89 Bn | 553.42 Bn | 17.26 Bn | 2.41 Bn |
| 3 | AbbVie | 503.32 Bn | 476.44 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 377.44 Bn | 331.82 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 303.91 Bn | 267.90 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 267.03 Bn | 240.72 Bn | 12.86 Bn | - |
| 7 | Amgen | 241.88 Bn | 197.28 Bn | 7.24 Bn | 540.60 Mn |
| 8 | Gilead Sciences | 194.01 Bn | 168.20 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 172.57 Bn | 119.21 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Coya Therapeutics | 96.64 Mn | -72.23 Mn | - | 23.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.46 Mn |
| Mar 31, 2026 | 23.46 Mn |
| Dec 31, 2025 | 16.73 Mn |
| Sep 30, 2025 | 16.74 Mn |
| Jun 30, 2025 | 16.72 Mn |
| Mar 31, 2025 | 16.72 Mn |
| Dec 31, 2024 | 16.71 Mn |
| Sep 30, 2024 | 15.22 Mn |
| Jun 30, 2024 | 15.22 Mn |
| Mar 31, 2024 | 14.61 Mn |
| Dec 31, 2023 | 10.16 Mn |
| Sep 30, 2023 | 9.95 Mn |
| Jun 30, 2023 | 9.95 Mn |
| Mar 31, 2023 | 9.95 Mn |
| Dec 31, 2022 | 2.59 Mn |
| Sep 30, 2022 | 2.59 Mn |
| Jun 30, 2022 | 2.59 Mn |
| Mar 31, 2022 | 2.59 Mn |
| Dec 31, 2021 | 2.59 Mn |
Coya Therapeutics Shares Outstanding (Entity) 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-entity&ticker=COYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "COYA", "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-entity&ticker=COYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();