Xeriant (XERI) Return on Sales [ROS] (2013 - 2018)
Xeriant's Return on Sales [ROS] came in at -405.24% for fiscal Q4 2018 (quarter ended Jun 30, 2018), up 355.52 percentage points from -760.76% a year earlier and up 20560.36 percentage points from the prior quarter.
Xeriant (XERI) Return on Sales [ROS] (2013 - 2018) Analysis & Trends
Going back to fiscal Q1 2014, Xeriant's Return on Sales [ROS] data covers 20 quarters.
- Return on Sales [ROS] carries a five-year change of -391.90 percentage points (FY2013 to FY2018).
- Going back by fiscal year, Return on Sales [ROS] was -105.22% in FY2017 (-70.44 pp), -34.77% in FY2016 (+26.05 pp), -60.82% in FY2015 (-39.82 pp) and -21.00% in FY2014 (-7.66 pp).
- The five-year range for quarterly Return on Sales [ROS] is -20965.60% (fiscal Q3 2018) to -2.89% (fiscal Q2 2015).
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -2698.11 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q4 2018 (a gain of 355.52 percentage points), and the weakest in fiscal Q3 2018 (a drop of 20951.44 percentage points).
- Business Quant data shows XERI's Return on Sales [ROS] at -20965.60% (Q3 2018), -349.74% (Q2 2018) and -114.59% (Q1 2018) in the three fiscal quarters before Q4 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 19.27% |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 14.92% |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 17.09% |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 12.99% |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 14.90% |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 14.76% |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 23.59% |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 22.12% |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 22.45% |
| 10 | Xeriant | 8.68 Mn | 5.56 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | -405.24% |
| Mar 31, 2018 | -20,965.60% |
| Dec 31, 2017 | -349.74% |
| Sep 30, 2017 | -114.59% |
| Jun 30, 2017 | -760.76% |
| Mar 31, 2017 | -14.16% |
| Dec 31, 2016 | -59.64% |
| Sep 30, 2016 | -36.36% |
| Jun 30, 2016 | -196.59% |
| Mar 31, 2016 | -23.27% |
| Dec 31, 2015 | -9.47% |
| Sep 30, 2015 | -20.97% |
| Jun 30, 2015 | -373.50% |
| Mar 31, 2015 | -17.43% |
| Dec 31, 2014 | -2.89% |
| Sep 30, 2014 | -12.25% |
| Jun 30, 2014 | -14.28% |
| Mar 31, 2014 | -24.60% |
| Dec 31, 2013 | -31.45% |
| Sep 30, 2013 | -29.36% |
Xeriant 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=XERI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "XERI", "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=XERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();