Dyadic International (DYAI) Return on Assets [ROA] (2019 - 2026)
Dyadic International (DYAI) recorded Return on Assets [ROA] of -82.14% in Q1 2026, down 16.74 percentage points from -65.40% a year earlier and down 14.00 percentage points from the prior quarter.
Dyadic International (DYAI) Return on Assets [ROA] (2019 - 2026) Analysis & Trends
For FY2025, Dyadic International reported Return on Assets [ROA] of -74.11%, down 9.40 percentage points from FY2024.
- Annual Return on Assets [ROA] has a five-year change of -46.49 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Assets [ROA] came in at -64.70% in FY2024 (+6.54 pp), -71.25% in FY2023 (-13.18 pp), -58.07% in FY2022 (-7.18 pp) and -50.89% in FY2021 (-23.26 pp).
- The Q1 2026 figure is the lowest quarterly Return on Assets [ROA] since Q4 2023.
- On a year-over-year basis, Return on Assets [ROA] has declined for four consecutive quarters, with an average year-over-year change of +2.34 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 14685.55 percentage points in Q4 2022, against a drop of 14725.66 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at -68.13% (Q4 2025), -74.20% (Q3 2025) and -69.57% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 20.64% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 10.47% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 4.65% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.45% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 28.37% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 9.10% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 9.29% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -6.13% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 2.14% |
| 10 | Dyadic International | 15.67 Mn | 9.07 Mn | - | -82.14% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -82.14% |
| Dec 31, 2025 | -68.13% |
| Sep 30, 2025 | -74.20% |
| Jun 30, 2025 | -69.57% |
| Mar 31, 2025 | -65.40% |
| Dec 31, 2024 | -56.63% |
| Sep 30, 2024 | -59.63% |
| Jun 30, 2024 | -66.94% |
| Mar 31, 2024 | -75.96% |
| Dec 31, 2023 | -89.42% |
| Sep 30, 2023 | -78.51% |
| Jun 30, 2023 | -68.91% |
| Mar 31, 2023 | -70.63% |
| Dec 31, 2022 | -70.27% |
| Sep 30, 2022 | -74.85% |
| Jun 30, 2022 | -0.15% |
| Mar 31, 2022 | -0.15% |
| Dec 31, 2021 | -14,755.83% |
| Sep 30, 2021 | -13,236.93% |
| Jun 30, 2021 | -12,165.10% |
Dyadic International Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=DYAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();