Decoy Therapeutics (DCOY) Research & Development (2015 - 2026)
Decoy Therapeutics (DCOY) posted Research & Development of $1.3 million for Q2 2026, compared with $116,383 a year earlier and up 74.0% from the prior quarter.
Powered by 
Analysis
Decoy Therapeutics (DCOY) Research & Development (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Decoy Therapeutics was $10.38 million; for FY2025, it came in at $8.52 million.
- Annual Research & Development shows a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- In prior years, Decoy Therapeutics' Research & Development was $770,027 in FY2024 (-89.3%), $7.17 million in FY2023 (-54.7%), $15.84 million in FY2022 (+85.3%) and $8.55 million in FY2021 (+23.6%).
- Quarterly Research & Development has run from a low of $59,953 in Q4 2023 to a high of $8.26 million in Q4 2025 over five years.
- On a year-over-year basis, Research & Development increased in two of the last six quarters, with growth averaging 138.1%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q1 2026, with growth of 892.7%; the weakest was Q4 2023, with a decline of 98.7%.
- According to Business Quant data, Research & Development for the three prior quarters was $749,813 (Q1 2026), $8.26 million (Q4 2025) and $61,826 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Decoy Therapeutics | 606,443.51 | -31.02 Mn | - | 1.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.30 Mn |
| Mar 31, 2026 | 749,813.00 |
| Dec 31, 2025 | 8.26 Mn |
| Sep 30, 2025 | 61,826.00 |
| Jun 30, 2025 | 116,383.00 |
| Mar 31, 2025 | 75,532.00 |
| Dec 31, 2024 | 175,344.00 |
| Sep 30, 2024 | 137,234.00 |
| Jun 30, 2024 | 214,447.00 |
| Mar 31, 2024 | 243,002.00 |
| Dec 31, 2023 | 59,953.00 |
| Sep 30, 2023 | 1.04 Mn |
| Jun 30, 2023 | 2.35 Mn |
| Mar 31, 2023 | 3.73 Mn |
| Dec 31, 2022 | 4.69 Mn |
| Sep 30, 2022 | 3.79 Mn |
| Jun 30, 2022 | 2.92 Mn |
| Mar 31, 2022 | 4.44 Mn |
| Dec 31, 2021 | 2.70 Mn |
| Sep 30, 2021 | 2.02 Mn |
API Access
Decoy 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=DCOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "DCOY", "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=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();