Dyadic International (DYAI) Operating Leases (2023 - 2025)
Dyadic International (DYAI) recorded Operating Leases of $5,054 in Q2 2025, down 91.9% from $62,631 a year earlier and down 74.7% from the prior quarter.
Dyadic International (DYAI) Operating Leases (2023 - 2025) Analysis & Trends
At the end of FY2024, Dyadic International reported Operating Leases of $34,621, down 61.0% from FY2023.
- Across earlier years, Operating Leases came in at $88,870 in FY2023.
- The Q2 2025 figure is the lowest quarterly Operating Leases in data going back to Q3 2023.
- On a year-over-year basis, Operating Leases has declined for four consecutive quarters, with an average decline of 69.8% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at $19,998 (Q1 2025), $34,621 (Q4 2024) and $48,091 (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Dyadic International | 16.03 Mn | 9.43 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 5,054.00 |
| Mar 31, 2025 | 19,998.00 |
| Dec 31, 2024 | 34,621.00 |
| Sep 30, 2024 | 48,091.00 |
| Jun 30, 2024 | 62,631.00 |
| Mar 31, 2024 | 75,894.00 |
| Dec 31, 2023 | 88,870.00 |
| Sep 30, 2023 | 101,567.00 |
Dyadic International Operating Leases 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=operating-leases&ticker=DYAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();