Sativus Tech (SATT) Non Operating Interest Expenses (2017 - 2019)
Sativus Tech's Non Operating Interest Expenses came in at $1.89 million for Q2 2019, compared with $740.00 a year earlier.
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Analysis
Sativus Tech (SATT) Non Operating Interest Expenses (2017 - 2019) Analysis & Trends
Over the trailing twelve months to Mar 31, 2019, Sativus Tech reported Non Operating Interest Expenses of $2.12 million; for FY2018, it was $227,000.
- Going back by year, Non Operating Interest Expenses was $1,627 in FY2017.
- The Q2 2019 figure represents the highest quarterly Non Operating Interest Expenses in data going back to Q2 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 148.00 Mn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 197.00 Mn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 98.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 831.22 Mn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 55.53 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 8.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 49.86 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 55.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 20.00 Mn |
| 10 | Sativus Tech | 800,958.48 | 305,958.48 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 1.89 Mn |
| Sep 30, 2018 | 224,756.00 |
| Jun 30, 2018 | 748.00 |
| Mar 31, 2018 | 740.00 |
| Dec 31, 2017 | 756.00 |
| Sep 30, 2017 | 756.00 |
| Jun 30, 2017 | 748.00 |
| Mar 31, 2017 | 123.00 |
API Access
Sativus Tech Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=SATT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "SATT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=SATT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();