Dyadic International (DYAI) Enterprise Value (2017 - 2026)
Dyadic International's Enterprise Value came in at $23.28 million for Q1 2026, down 30.0% from $33.27 million a year earlier and down 8.4% from the prior quarter.
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Analysis
Dyadic International (DYAI) Enterprise Value (2017 - 2026) Analysis & Trends
For FY2025, Dyadic International's Enterprise Value was $25.42 million, down 40.8% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of -26.5% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $42.91 million in FY2024 (+9.7%), $39.12 million in FY2023 (+73.9%), $22.49 million in FY2022 (-79.0%) and $107.34 million in FY2021 (-9.7%).
- The five-year range for quarterly Enterprise Value is -$15.36 billion (Q1 2022) to $133.37 million (Q3 2021).
- Year-over-year, Enterprise Value increased in two of the last eight quarters, with an average decline of 16.3%.
- The fastest year-over-year change in Enterprise Value over five years came in Q4 2023 (growth of 73.9%), and the weakest in Q4 2022 (a decline of 79.0%).
- Business Quant data shows DYAI's Enterprise Value at $25.42 million (Q4 2025), $32.3 million (Q3 2025) and $22.53 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn |
| 10 | Dyadic International | 13.85 Mn | 7.25 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 23.28 Mn |
| Dec 31, 2025 | 25.42 Mn |
| Sep 30, 2025 | 32.30 Mn |
| Jun 30, 2025 | 22.53 Mn |
| Mar 31, 2025 | 33.27 Mn |
| Dec 31, 2024 | 42.91 Mn |
| Sep 30, 2024 | 20.85 Mn |
| Jun 30, 2024 | 33.53 Mn |
| Mar 31, 2024 | 36.70 Mn |
| Dec 31, 2023 | 39.12 Mn |
| Sep 30, 2023 | 47.14 Mn |
| Jun 30, 2023 | 45.48 Mn |
| Mar 31, 2023 | 39.55 Mn |
| Dec 31, 2022 | 22.49 Mn |
| Sep 30, 2022 | 40.16 Mn |
| Jun 30, 2022 | 70.57 Mn |
| Mar 31, 2022 | -15.36 Bn |
| Dec 31, 2021 | 107.34 Mn |
| Sep 30, 2021 | 133.37 Mn |
| Jun 30, 2021 | 75.20 Mn |
API Access
Dyadic International Enterprise Value 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=enterprise-value&ticker=DYAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();