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 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn |
| 10 | Dyadic International | 13.85 Mn | 7.25 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();