Dyadic International (DYAI) Total Current Liabilities (2017 - 2026)
Dyadic International (DYAI) recorded Total Current Liabilities of $3.18 million in Q1 2026, up 62.3% from $1.96 million a year earlier but down 13.7% from the prior quarter.
Dyadic International (DYAI) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Dyadic International reported Total Current Liabilities of $3.69 million, up 50.6% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 17.8% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $2.45 million in FY2024 (+8.7%), $2.25 million in FY2023 (-8.0%), $2.45 million in FY2022 (-4.2%) and $2.56 million in FY2021 (+57.2%).
- Quarterly Total Current Liabilities has ranged from $1.46 million in Q3 2023 to $1.83 billion in Q1 2022 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for four consecutive quarters, with growth averaging 41.4% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 100.7% in Q2 2021, against a decline of 99.9% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.69 million (Q4 2025), $4.05 million (Q3 2025) and $3.66 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Dyadic International | 13.85 Mn | 7.25 Mn | - | 3.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.18 Mn |
| Dec 31, 2025 | 3.69 Mn |
| Sep 30, 2025 | 4.05 Mn |
| Jun 30, 2025 | 3.66 Mn |
| Mar 31, 2025 | 1.96 Mn |
| Dec 31, 2024 | 2.45 Mn |
| Sep 30, 2024 | 2.08 Mn |
| Jun 30, 2024 | 1.95 Mn |
| Mar 31, 2024 | 2.26 Mn |
| Dec 31, 2023 | 2.25 Mn |
| Sep 30, 2023 | 1.46 Mn |
| Jun 30, 2023 | 2.00 Mn |
| Mar 31, 2023 | 1.88 Mn |
| Dec 31, 2022 | 2.45 Mn |
| Sep 30, 2022 | 2.39 Mn |
| Jun 30, 2022 | 3.40 Mn |
| Mar 31, 2022 | 1.83 Bn |
| Dec 31, 2021 | 2.56 Mn |
| Sep 30, 2021 | 1.96 Mn |
| Jun 30, 2021 | 3.29 Mn |
Dyadic International Total Current Liabilities 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=total-current-liabilities&ticker=DYAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();