Dyadic International (DYAI) Assets (2017 - 2026)
Dyadic International (DYAI) posted Assets of $7.81 million for Q1 2026, down 1.1% from $7.89 million a year earlier and down 21.5% from the prior quarter.
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Analysis
Dyadic International (DYAI) Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Dyadic International's Assets came in at $9.95 million, up 0.2% from FY2024.
- Annual Assets shows a five-year compound annual growth rate of -19.9% (FY2020 to FY2025).
- In prior years, Dyadic International's Assets was $9.93 million in FY2024 (+20.8%), $8.22 million in FY2023 (-40.1%), $13.71 million in FY2022 (-35.6%) and $21.3 million in FY2021 (-29.2%).
- The Q1 2026 figure stands as the lowest quarterly Assets in data going back to Q4 2017.
- On a year-over-year basis, Assets increased in four of the last eight quarters, with an average decline of 2.6%.
- The strongest year-over-year quarter for Assets in the past five years was Q4 2024, with growth of 20.8%; the weakest was Q1 2023, with a decline of 99.9%.
- According to Business Quant data, Assets for the three prior quarters was $9.95 million (Q4 2025), $11.67 million (Q3 2025) and $8.14 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Dyadic International | 16.03 Mn | 9.43 Mn | - | 7.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7.81 Mn |
| Dec 31, 2025 | 9.95 Mn |
| Sep 30, 2025 | 11.67 Mn |
| Jun 30, 2025 | 8.14 Mn |
| Mar 31, 2025 | 7.89 Mn |
| Dec 31, 2024 | 9.93 Mn |
| Sep 30, 2024 | 10.81 Mn |
| Jun 30, 2024 | 10.63 Mn |
| Mar 31, 2024 | 12.68 Mn |
| Dec 31, 2023 | 8.22 Mn |
| Sep 30, 2023 | 9.26 Mn |
| Jun 30, 2023 | 11.07 Mn |
| Mar 31, 2023 | 12.81 Mn |
| Dec 31, 2022 | 13.71 Mn |
| Sep 30, 2022 | 15.22 Mn |
| Jun 30, 2022 | 17.22 Mn |
| Mar 31, 2022 | 18.53 Bn |
| Dec 31, 2021 | 21.30 Mn |
| Sep 30, 2021 | 23.86 Mn |
| Jun 30, 2021 | 26.45 Mn |
API Access
Dyadic International Assets 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=assets&ticker=DYAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();