Dyadic International (DYAI) Return on Capital Employed [ROCE] (2019 - 2026)
Dyadic International (DYAI) reported Return on Capital Employed [ROCE] of -124.58% for Q1 2026, down 41.45 percentage points from -83.13% a year earlier and down 23.58 percentage points from the prior quarter.
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Analysis
Dyadic International (DYAI) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, Dyadic International posted Return on Capital Employed [ROCE] of -115.07%, down 26.03 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of -83.87 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -89.05% in FY2024 (+5.39 pp), -94.44% in FY2023 (-26.93 pp), -67.51% in FY2022 (-3.84 pp) and -63.67% in FY2021 (-32.48 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -16639.02% in Q4 2021 and a high of -0.15% in Q2 2022.
- Year over year, Return on Capital Employed [ROCE] has now declined in each of the last four quarters, with an average year-over-year change of -8.16 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q4 2022 (a gain of 16554.43 percentage points); the low point was Q4 2021 (a drop of 16604.79 percentage points).
- Per Business Quant data, the three quarters before Q1 2026 came in at -100.99% (Q4 2025), -122.78% (Q3 2025) and -125.47% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 43.74% |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 5.33% |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 11.32% |
| 10 | Dyadic International | 13.85 Mn | 7.25 Mn | - | -124.58% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -124.58% |
| Dec 31, 2025 | -100.99% |
| Sep 30, 2025 | -122.78% |
| Jun 30, 2025 | -125.47% |
| Mar 31, 2025 | -83.13% |
| Dec 31, 2024 | -74.51% |
| Sep 30, 2024 | -75.68% |
| Jun 30, 2024 | -83.00% |
| Mar 31, 2024 | -101.42% |
| Dec 31, 2023 | -126.89% |
| Sep 30, 2023 | -95.32% |
| Jun 30, 2023 | -84.93% |
| Mar 31, 2023 | -83.18% |
| Dec 31, 2022 | -84.59% |
| Sep 30, 2022 | -87.76% |
| Jun 30, 2022 | -0.15% |
| Mar 31, 2022 | -0.19% |
| Dec 31, 2021 | -16,639.02% |
| Sep 30, 2021 | -14,358.60% |
| Jun 30, 2021 | -13,828.28% |
API Access
Dyadic International Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=DYAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();