Dyadic International (DYAI) Return on Equity [ROE] (2018 - 2026)
Dyadic International (DYAI) recorded Return on Equity [ROE] of -1768.38% in Q1 2026, down 1424.90 percentage points from -343.49% a year earlier and down 1384.78 percentage points from the prior quarter.
Dyadic International (DYAI) Return on Equity [ROE] (2018 - 2026) Analysis & Trends
For FY2025, Dyadic International reported Return on Equity [ROE] of -397.80%, down 257.14 percentage points from FY2024.
- Annual Return on Equity [ROE] has declined for seven straight years, with a five-year change of -368.80 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Equity [ROE] came in at -140.66% in FY2024 (-48.56 pp), -92.10% in FY2023 (-23.13 pp), -68.97% in FY2022 (-13.16 pp) and -55.81% in FY2021 (-26.81 pp).
- Quarterly Return on Equity [ROE] has ranged from -16539.97% in Q4 2021 to -81.36% in Q1 2022 over the past five years.
- On a year-over-year basis, Return on Equity [ROE] has declined for 11 consecutive quarters, with an average year-over-year change of -655.50 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Equity [ROE] in the last five years was a gain of 16454.19 percentage points in Q4 2022, against a drop of 16508.06 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at -383.60% (Q4 2025), -707.53% (Q3 2025) and -2831.79% (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.32% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 7.21% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 84.40% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 21.39% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.75% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -18.38% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.97% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 22.24% |
| 10 | Dyadic International | 16.03 Mn | 9.43 Mn | - | -1,768.38% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -1,768.38% |
| Dec 31, 2025 | -383.60% |
| Sep 30, 2025 | -707.53% |
| Jun 30, 2025 | -2,831.79% |
| Mar 31, 2025 | -343.49% |
| Dec 31, 2024 | -199.64% |
| Sep 30, 2024 | -194.25% |
| Jun 30, 2024 | -203.07% |
| Mar 31, 2024 | -152.73% |
| Dec 31, 2023 | -115.48% |
| Sep 30, 2023 | -95.93% |
| Jun 30, 2023 | -83.18% |
| Mar 31, 2023 | -85.57% |
| Dec 31, 2022 | -85.79% |
| Sep 30, 2022 | -92.78% |
| Jun 30, 2022 | -90.81% |
| Mar 31, 2022 | -81.36% |
| Dec 31, 2021 | -16,539.97% |
| Sep 30, 2021 | -14,779.64% |
| Jun 30, 2021 | -13,630.02% |
Dyadic International Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=DYAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();