Dyadic International (DYAI) Change in Taxes (2018 - 2020)
Dyadic International (DYAI) posted Change in Taxes of -$500,616 for FY2020, compared with -$506,866 in FY2019.
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Analysis
Dyadic International (DYAI) Change in Taxes (2018 - 2020) Analysis & Trends
Since FY2017, Dyadic International has reported Change in Taxes for 4 years.
- Annual Change in Taxes has run from a low of -$506,866 in FY2019 to a high of $1.01 million in FY2018 over five years.
- Business Quant data shows DYAI's Change in Taxes at -$506,866 in FY2019, $1.01 million in FY2018 (+938.2%) and $97,041 in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | - |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | -2.22 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -1.53 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | -131.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 171.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Dyadic International | 16.76 Mn | 10.16 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | -500,616.00 |
| Dec 31, 2019 | -9,406.00 |
| Sep 30, 2019 | 9,406.00 |
| Jun 30, 2019 | -500,617.00 |
| Mar 31, 2019 | -6,249.00 |
| Dec 31, 2018 | 1.11 Mn |
| Mar 31, 2018 | -102,000.00 |
API Access
Dyadic International Change in Taxes 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=change-in-taxes&ticker=DYAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=DYAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();