Dyadic International (DYAI) Selling, General & Administrative (2018 - 2026)
Dyadic International (DYAI) reported Selling, General & Administrative of $1.76 million for Q1 2026, up 10.0% from $1.6 million a year earlier and up 40.7% from the prior quarter.
Dyadic International (DYAI) Selling, General & Administrative (2018 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Dyadic International's Selling, General & Administrative came in at $5.92 million, down 0.4% year-over-year; for FY2025, it came in at $5.76 million, down 6.1% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $6.13 million in FY2024 (+5.5%), $5.82 million in FY2023 (-9.4%), $6.42 million in FY2022 (-4.1%) and $6.7 million in FY2021 (+10.1%).
- The Q1 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q1 2024.
- Year over year, Selling, General & Administrative gained in four of the last eight quarters, with an average decline of 1.0%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2021 (growth of 29.7%); the low point was Q1 2022 (a decline of 99.9%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $1.25 million (Q4 2025), $1.48 million (Q3 2025) and $1.44 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 3.28 Bn |
| 10 | Dyadic International | 13.85 Mn | 7.25 Mn | - | 1.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.76 Mn |
| Dec 31, 2025 | 1.25 Mn |
| Sep 30, 2025 | 1.48 Mn |
| Jun 30, 2025 | 1.44 Mn |
| Mar 31, 2025 | 1.60 Mn |
| Dec 31, 2024 | 1.44 Mn |
| Sep 30, 2024 | 1.30 Mn |
| Jun 30, 2024 | 1.61 Mn |
| Mar 31, 2024 | 1.79 Mn |
| Dec 31, 2023 | 1.65 Mn |
| Sep 30, 2023 | 1.28 Mn |
| Jun 30, 2023 | 1.40 Mn |
| Mar 31, 2023 | 1.48 Mn |
| Dec 31, 2022 | 1.67 Mn |
| Sep 30, 2022 | 1.38 Mn |
| Jun 30, 2022 | 1.71 Mn |
| Mar 31, 2022 | 1.66 Mn |
| Dec 31, 2021 | 1.70 Mn |
| Sep 30, 2021 | 1.69 Mn |
| Jun 30, 2021 | 1.75 Mn |
Dyadic International Selling, General & Administrative 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=selling-general-and-administrative&ticker=DYAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();