Dyadic International (DYAI) Return on Sales [ROS] (2018 - 2026)
Dyadic International's Return on Sales [ROS] came in at -171.27% for Q1 2026, up 337.53 percentage points from -508.80% a year earlier and up 100.32 percentage points from the prior quarter.
Dyadic International (DYAI) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Dyadic International reported Return on Sales [ROS] of -186.28%, down 23.73 percentage points year-over-year; for FY2025, it came in at -232.75%, down 63.93 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +393.10 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -168.82% in FY2024 (+115.08 pp), -283.90% in FY2023 (+63.01 pp), -346.92% in FY2022 (+265.75 pp) and -612.67% in FY2021 (+13.19 pp).
- The five-year range for quarterly Return on Sales [ROS] is -1345.65% (Q4 2021) to -10.35% (Q3 2024).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +108.86 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2022 (a gain of 1044.52 percentage points), and the weakest in Q4 2021 (a drop of 689.76 percentage points).
- Business Quant data shows DYAI's Return on Sales [ROS] at -271.59% (Q4 2025), -165.32% (Q3 2025) and -178.88% (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Dyadic International | 16.76 Mn | 10.16 Mn | - | -171.27% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -171.27% |
| Dec 31, 2025 | -271.59% |
| Sep 30, 2025 | -165.32% |
| Jun 30, 2025 | -178.88% |
| Mar 31, 2025 | -508.80% |
| Dec 31, 2024 | -187.19% |
| Sep 30, 2024 | -10.35% |
| Jun 30, 2024 | -529.31% |
| Mar 31, 2024 | -635.22% |
| Dec 31, 2023 | -315.89% |
| Sep 30, 2023 | -433.21% |
| Jun 30, 2023 | -273.60% |
| Mar 31, 2023 | -209.65% |
| Dec 31, 2022 | -301.13% |
| Sep 30, 2022 | -211.86% |
| Jun 30, 2022 | -503.83% |
| Mar 31, 2022 | -423.28% |
| Dec 31, 2021 | -1,345.65% |
| Sep 30, 2021 | -479.70% |
| Jun 30, 2021 | -412.67% |
Dyadic International Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=DYAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();