Coya Therapeutics (COYA) Research & Development (2022 - 2026)
Coya Therapeutics' Research & Development came in at $5.03 million for Q2 2026, up 37.3% from $3.66 million a year earlier and up 22.8% from the prior quarter.
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Analysis
Coya Therapeutics (COYA) Research & Development (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Coya Therapeutics reported Research & Development of $16.98 million, up 30.3% year-over-year; for FY2025, it came in at $16.73 million, up 41.0% from FY2024.
- Research & Development has increased in each of the last four years, with a four-year compound annual growth rate of 60.2% (FY2021 to FY2025).
- Going back by year, Research & Development was $11.87 million in FY2024 (+115.7%), $5.5 million in FY2023 (+24.7%), $4.41 million in FY2022 (+73.6%) and $2.54 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Research & Development since Q1 2025.
- Year-over-year, Research & Development increased in six of the last eight quarters, with growth averaging 38.6%.
- The fastest year-over-year change in Research & Development over five years came in Q2 2024 (growth of 327.6%), and the weakest in Q2 2023 (a decline of 26.2%).
- Business Quant data shows COYA's Research & Development at $4.1 million (Q1 2026), $4.94 million (Q4 2025) and $2.92 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.25 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 2.57 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.54 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 3.89 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 2.11 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.61 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.02 Bn |
| 10 | Coya Therapeutics | 74.13 Mn | -102.42 Mn | - | 8.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.57 Mn |
| Jun 30, 2026 | 5.03 Mn |
| Mar 31, 2026 | 4.10 Mn |
| Dec 31, 2025 | 4.94 Mn |
| Sep 30, 2025 | 2.92 Mn |
| Jun 30, 2025 | 3.66 Mn |
| Mar 31, 2025 | 5.21 Mn |
| Dec 31, 2024 | 1.94 Mn |
| Sep 30, 2024 | 2.22 Mn |
| Jun 30, 2024 | 4.57 Mn |
| Mar 31, 2024 | 3.14 Mn |
| Dec 31, 2023 | 1.61 Mn |
| Sep 30, 2023 | 1.59 Mn |
| Jun 30, 2023 | 1.07 Mn |
| Mar 31, 2023 | 1.23 Mn |
| Dec 31, 2022 | 708,032.00 |
| Sep 30, 2022 | 1.28 Mn |
| Jun 30, 2022 | 1.45 Mn |
| Mar 31, 2022 | 978,804.00 |
API Access
Coya Therapeutics Research & Development 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=research-and-development&ticker=COYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=COYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();