Dyadic International (DYAI) Operating Expenses (2018 - 2026)
Dyadic International's Operating Expenses came in at $3.01 million for Q1 2026, up 25.8% from $2.4 million a year earlier and up 43.4% from the prior quarter.
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Analysis
Dyadic International (DYAI) Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Dyadic International reported Operating Expenses of $10.9 million, up 16.8% year-over-year; for FY2025, it was $10.28 million, up 9.4% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $9.4 million in FY2024 (-15.6%), $11.13 million in FY2023 (-15.0%), $13.1 million in FY2022 (-23.6%) and $17.13 million in FY2021 (+47.3%).
- The five-year range for quarterly Operating Expenses is $2.1 million (Q4 2025) to $4.8 million (Q2 2021).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 3.6%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 73.2%), and the weakest in Q1 2022 (a decline of 99.9%).
- Business Quant data shows DYAI's Operating Expenses at $2.1 million (Q4 2025), $3.09 million (Q3 2025) and $2.7 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 7.68 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 7.61 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Dyadic International | 13.85 Mn | 7.25 Mn | - | 3.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.01 Mn |
| Dec 31, 2025 | 2.10 Mn |
| Sep 30, 2025 | 3.09 Mn |
| Jun 30, 2025 | 2.70 Mn |
| Mar 31, 2025 | 2.40 Mn |
| Dec 31, 2024 | 2.35 Mn |
| Sep 30, 2024 | 2.16 Mn |
| Jun 30, 2024 | 2.43 Mn |
| Mar 31, 2024 | 2.46 Mn |
| Dec 31, 2023 | 2.86 Mn |
| Sep 30, 2023 | 2.12 Mn |
| Jun 30, 2023 | 3.13 Mn |
| Mar 31, 2023 | 3.03 Mn |
| Dec 31, 2022 | 2.98 Mn |
| Sep 30, 2022 | 2.74 Mn |
| Jun 30, 2022 | 3.98 Mn |
| Mar 31, 2022 | 3.39 Mn |
| Dec 31, 2021 | 4.53 Mn |
| Sep 30, 2021 | 4.02 Mn |
| Jun 30, 2021 | 4.80 Mn |
API Access
Dyadic International Operating 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=operating-expenses&ticker=DYAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();