Dyadic International (DYAI) Other Operating Expenses (2018 - 2026)
Dyadic International (DYAI) recorded Other Operating Expenses of $240,009 in Q1 2026, down 1.4% from $243,496 a year earlier but up 23.1% from the prior quarter.
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Analysis
Dyadic International (DYAI) Other Operating Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Dyadic International's Other Operating Expenses came in at $886,525 as of Mar 31, 2026, down 9.8% year-over-year; for FY2025, it came in at $889,987, down 10.6% from FY2024.
- Annual Other Operating Expenses has declined for three straight years, with a five-year compound annual growth rate of -11.9% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $995,501 in FY2024 (-20.0%), $1.24 million in FY2023 (-42.7%), $2.17 million in FY2022 (+6.5%) and $2.04 million in FY2021 (+21.9%).
- Quarterly Other Operating Expenses has ranged from -$2.21 billion in Q2 2021 to $807,465 in Q2 2023 over the past five years.
- On a year-over-year basis, Other Operating Expenses has declined for six consecutive quarters, with an average decline of 10.8% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 107.4% in Q4 2022, against a decline of 99.9% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $194,972 (Q4 2025), $200,165 (Q3 2025) and $251,379 (Q2 2025).
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 | 240,009.00 |
| Dec 31, 2025 | 194,972.00 |
| Sep 30, 2025 | 200,165.00 |
| Jun 30, 2025 | 251,379.00 |
| Mar 31, 2025 | 243,496.00 |
| Dec 31, 2024 | 216,823.00 |
| Sep 30, 2024 | 219,054.00 |
| Jun 30, 2024 | 303,076.00 |
| Mar 31, 2024 | 256,798.00 |
| Dec 31, 2023 | 350,392.00 |
| Sep 30, 2023 | 118,469.00 |
| Jun 30, 2023 | 807,465.00 |
| Mar 31, 2023 | 737,940.00 |
| Dec 31, 2022 | 730,831.00 |
| Sep 30, 2022 | 616,052.00 |
| Jun 30, 2022 | 431,730.00 |
| Mar 31, 2022 | 394,498.00 |
| Dec 31, 2021 | 352,441.00 |
| Sep 30, 2021 | 422,546.00 |
| Jun 30, 2021 | -2.21 Bn |
API Access
Dyadic International Other 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=other-operating-expenses&ticker=DYAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();