Coya Therapeutics (COYA) Shares Outstanding (Diluted) (2021 - 2026)
Coya Therapeutics (COYA) reported Shares Outstanding (Diluted) of 23.46 million for Q2 2026, up 40.3% from 16.72 million a year earlier and up 3.6% from the prior quarter.
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Analysis
Coya Therapeutics (COYA) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Coya Therapeutics posted Shares Outstanding (Diluted) of 16.73 million, up 9.8% from FY2024.
- Shares Outstanding (Diluted) has increased for three consecutive years, with a four-year compound annual growth rate of 59.4% (FY2021 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 15.24 million in FY2024 (+49.9%), 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 (Diluted) in data going back to Q4 2021.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 14 quarters, with growth averaging 28.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 0.0% (Q4 2022) to 292.4% (Q4 2023).
- Per Business Quant data, the three quarters before Q2 2026 came in at 22.64 million (Q1 2026), 16.73 million (Q4 2025) and 16.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Coya Therapeutics | 97.12 Mn | -71.76 Mn | - | 23.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.46 Mn |
| Mar 31, 2026 | 22.64 Mn |
| Dec 31, 2025 | 16.73 Mn |
| Sep 30, 2025 | 16.73 Mn |
| Jun 30, 2025 | 16.72 Mn |
| Mar 31, 2025 | 16.72 Mn |
| Dec 31, 2024 | 15.24 Mn |
| Sep 30, 2024 | 15.22 Mn |
| Jun 30, 2024 | 14.92 Mn |
| Mar 31, 2024 | 14.46 Mn |
| Dec 31, 2023 | 10.16 Mn |
| Sep 30, 2023 | 9.95 Mn |
| Jun 30, 2023 | 9.95 Mn |
| Mar 31, 2023 | 9.72 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 |
API Access
Coya Therapeutics Shares Outstanding (Diluted) 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-diluted&ticker=COYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=COYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();