Dyadic International (DYAI) Research & Development (2018 - 2026)
Dyadic International's Research & Development was $476,069 in Q1 2026, down 3.8% from $494,979 a year earlier but up 3.8% from the prior quarter.
Dyadic International (DYAI) Research & Development (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dyadic International's Research & Development was $2.14 million through Mar 31, 2026, up 5.9% year-over-year; for FY2025, it came in at $2.15 million, up 5.4% from FY2024.
- Research & Development shows a five-year compound annual growth rate of -11.0% (FY2020 to FY2025).
- In earlier years, Research & Development was $2.04 million in FY2024 (-38.0%), $3.3 million in FY2023 (-26.7%), $4.5 million in FY2022 (-46.4%) and $8.39 million in FY2021 (+117.0%).
- Quarterly Research & Development has moved between $458,436 (Q4 2025) and $2.21 billion (Q2 2021) over five years.
- Compared with a year earlier, Research & Development was higher in two of the last eight quarters, with an average decline of 11.8%.
- The best year-over-year quarter for Research & Development over five years was Q4 2021 (growth of 144.8%); the worst was Q1 2022 (a decline of 99.9%).
- Per Business Quant data, DYAI's Research & Development in the three quarters before Q1 2026 was $458,436 (Q4 2025), $571,872 (Q3 2025) and $629,379 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 4.25 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 2.57 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 4.54 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 3.89 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 2.11 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 1.61 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 3.02 Bn |
| 10 | Dyadic International | 13.85 Mn | 7.25 Mn | - | 476,069.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 476,069.00 |
| Dec 31, 2025 | 458,436.00 |
| Sep 30, 2025 | 571,872.00 |
| Jun 30, 2025 | 629,379.00 |
| Mar 31, 2025 | 494,979.00 |
| Dec 31, 2024 | 545,660.00 |
| Sep 30, 2024 | 460,241.00 |
| Jun 30, 2024 | 515,629.00 |
| Mar 31, 2024 | 522,723.00 |
| Dec 31, 2023 | 852,797.00 |
| Sep 30, 2023 | 716,351.00 |
| Jun 30, 2023 | 917,552.00 |
| Mar 31, 2023 | 810,566.00 |
| Dec 31, 2022 | 584,120.00 |
| Sep 30, 2022 | 743,585.00 |
| Jun 30, 2022 | 1.83 Mn |
| Mar 31, 2022 | 1.34 Mn |
| Dec 31, 2021 | 2.47 Mn |
| Sep 30, 2021 | 1.90 Mn |
| Jun 30, 2021 | 2.21 Bn |
Dyadic International 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=DYAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "DYAI", "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=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();