Sativus Tech (SATT) Return on Sales [ROS] (2015 - 2019)
Sativus Tech's Return on Sales [ROS] came in at -1100.43% for FY2019.
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Analysis
Sativus Tech (SATT) Return on Sales [ROS] (2015 - 2019) Analysis & Trends
Going back to FY2015, Sativus Tech's Return on Sales [ROS] data covers 4 years.
- Return on Sales [ROS] carries a four-year change of -1118.58 percentage points (FY2015 to FY2019).
- The FY2019 figure represents the highest annual Return on Sales [ROS] since FY2016.
- Per Business Quant, earlier years put Return on Sales [ROS] at -2893.79% in FY2017 (-2839.12 pp), -54.67% in FY2016 (-72.83 pp) and 18.15% in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 3.95% |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 4.47% |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 2.61% |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 2.50% |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 32.20% |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 7.84% |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 1.43% |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 10.16% |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 3.42% |
| 10 | Sativus Tech | 800,958.48 | 305,958.48 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | -975.81% |
| Jun 30, 2019 | -790.34% |
| Mar 31, 2019 | -16,840.00% |
| Jun 30, 2018 | -6,420.43% |
| Mar 31, 2018 | -3,852.95% |
| Dec 31, 2017 | -41.42% |
| Sep 30, 2017 | -9,120.49% |
| Jun 30, 2017 | 12.54% |
| Mar 31, 2017 | -44.87% |
| Dec 31, 2016 | -67.29% |
| Sep 30, 2016 | -201.02% |
| Jun 30, 2016 | -54.34% |
| Mar 31, 2016 | -14.16% |
| Dec 31, 2015 | -75.98% |
| Jun 30, 2015 | -38.11% |
API Access
Sativus Tech Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SATT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SATT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();