Dyadic International (DYAI) EPS (Diluted) (2024 - 2026)
Dyadic International's EPS (Diluted) was -$0.05 in Q1 2026, compared with -$0.07 a year earlier.
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Analysis
Dyadic International (DYAI) EPS (Diluted) (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dyadic International's EPS (Diluted) was -$0.20 through Mar 31, 2026; for FY2025, it came in at -$0.23.
- In earlier years, EPS (Diluted) was -$0.20 in FY2024.
- Quarterly EPS (Diluted) has moved between -$0.07 (Q2 2024) and -$0.01 (Q3 2024) over five years.
- Per Business Quant data, DYAI's EPS (Diluted) in the three quarters before Q1 2026 was -$0.05 (Q4 2025), -$0.06 (Q3 2025) and -$0.06 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 7.94 |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.27 |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 2.04 |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -0.54 |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 1.67 |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 1.85 |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 4.37 |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -8.44 |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | -0.04 |
| 10 | Dyadic International | 16.76 Mn | 10.16 Mn | - | -0.05 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -0.05 |
| Dec 31, 2025 | -0.05 |
| Sep 30, 2025 | -0.06 |
| Jun 30, 2025 | -0.06 |
| Mar 31, 2025 | -0.07 |
| Dec 31, 2024 | -0.05 |
| Sep 30, 2024 | -0.01 |
| Jun 30, 2024 | -0.07 |
API Access
Dyadic International EPS (Diluted) 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=eps-diluted&ticker=DYAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();