Dyadic International (DYAI) Accumulated Expenses (2017 - 2026)
Dyadic International (DYAI) posted Accumulated Expenses of $891,420 for Q1 2026, up 29.0% from $690,859 a year earlier but down 7.9% from the prior quarter.
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Analysis
Dyadic International (DYAI) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Dyadic International's Accumulated Expenses came in at $967,974, down 0.3% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- In prior years, Dyadic International's Accumulated Expenses was $970,462 in FY2024 (-8.2%), $1.06 million in FY2023 (+10.7%), $955,081 in FY2022 (+34.6%) and $709,560 in FY2021 (+44.9%).
- Quarterly Accumulated Expenses has run from a low of $594,803 in Q2 2021 to a high of $533.01 million in Q1 2022 over five years.
- On a year-over-year basis, Accumulated Expenses increased in four of the last eight quarters, with growth averaging 11.5%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2022, with growth of 105.8%; the weakest was Q1 2023, with a decline of 99.8%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $967,974 (Q4 2025), $1.37 million (Q3 2025) and $929,850 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Dyadic International | 15.67 Mn | 9.07 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 891,420.00 |
| Dec 31, 2025 | 967,974.00 |
| Sep 30, 2025 | 1.37 Mn |
| Jun 30, 2025 | 929,850.00 |
| Mar 31, 2025 | 690,859.00 |
| Dec 31, 2024 | 970,462.00 |
| Sep 30, 2024 | 839,420.00 |
| Jun 30, 2024 | 870,597.00 |
| Mar 31, 2024 | 987,973.00 |
| Dec 31, 2023 | 1.06 Mn |
| Sep 30, 2023 | 620,242.00 |
| Jun 30, 2023 | 909,482.00 |
| Mar 31, 2023 | 863,041.00 |
| Dec 31, 2022 | 955,081.00 |
| Sep 30, 2022 | 987,891.00 |
| Jun 30, 2022 | 1.22 Mn |
| Mar 31, 2022 | 533.01 Mn |
| Dec 31, 2021 | 709,560.00 |
| Sep 30, 2021 | 842,450.00 |
| Jun 30, 2021 | 594,803.00 |
API Access
Dyadic International Accumulated Expenses 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=accumulated-expenses&ticker=DYAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();