Coya Therapeutics (COYA) Revenue (2023 - 2026)
Coya Therapeutics (COYA) recorded Revenue of $243,745 in Q2 2026, up 49.0% from $163,616 a year earlier but down 2.9% from the prior quarter.
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Analysis
Coya Therapeutics (COYA) Revenue (2023 - 2026) Analysis & Trends
On a TTM basis, Coya Therapeutics' Revenue came in at $8.02 million as of Jun 30, 2026; for FY2025, it was $7.95 million, up 123.6% from FY2024.
- Across earlier years, Revenue came in at $3.55 million in FY2024 (-40.8%) and $6 million in FY2023.
- Quarterly Revenue has ranged from $1,952 in Q4 2024 to $6 million in Q4 2023 over the past five years.
- On a year-over-year basis, Revenue rose in two of the last five quarters, with an average decline of 9.1%.
- Per Business Quant, the preceding three quarters came in at $251,147 (Q1 2026), $3.96 million (Q4 2025) and $3.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 22.97 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 25.40 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 16.99 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 16.61 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 14.41 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 15.38 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 10.05 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 7.80 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 15.03 Bn |
| 10 | Coya Therapeutics | 97.12 Mn | -71.76 Mn | - | 243,745.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 243,745.00 |
| Mar 31, 2026 | 251,147.00 |
| Dec 31, 2025 | 3.96 Mn |
| Sep 30, 2025 | 3.56 Mn |
| Jun 30, 2025 | 163,616.00 |
| Mar 31, 2025 | 257,884.00 |
| Dec 31, 2024 | 1,952.00 |
| Jun 30, 2024 | 3.43 Mn |
| Mar 31, 2024 | 126,838.00 |
| Dec 31, 2023 | 6.00 Mn |
API Access
Coya Therapeutics Revenue 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=revenue&ticker=COYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=COYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();