Agassi Sports Entertainment (AASP) Return on Sales [ROS] (2010 - 2014)
Agassi Sports Entertainment (AASP) posted Return on Sales [ROS] of 8.42% for Q1 2014, up 13.22 percentage points from -4.80% a year earlier and up 48.68 percentage points from the prior quarter.
Agassi Sports Entertainment (AASP) Return on Sales [ROS] (2010 - 2014) Analysis & Trends
For the trailing twelve months through Mar 31, 2014, Return on Sales [ROS] at Agassi Sports Entertainment was -8.95%, up 4.54 percentage points year-over-year; for FY2013, it came in at -12.99%, down 0.25 percentage points from FY2012.
- Annual Return on Sales [ROS] shows a three-year change of +8.02 percentage points (FY2010 to FY2013).
- In prior years, Agassi Sports Entertainment's Return on Sales [ROS] was -12.74% in FY2012 (-6.84 pp), -5.90% in FY2011 (+15.12 pp) and -21.01% in FY2010.
- The Q1 2014 figure stands as the highest quarterly Return on Sales [ROS] since Q2 2012.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of -3.08 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2011, with a gain of 26.45 percentage points; the weakest was Q4 2012, with a drop of 28.37 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -40.27% (Q4 2013), -18.40% (Q3 2013) and 3.26% (Q2 2013).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 283.28 Bn | 268.35 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 256.80 Bn | 237.20 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 131.22 Bn | 117.15 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 111.69 Bn | 99.01 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 96.18 Bn | 77.82 Bn | 881.34 Mn | 0.49% |
| 6 | Zscaler | 39.49 Bn | 25.61 Bn | - | - |
| 7 | Okta | 37.27 Bn | 27.37 Bn | 641.00 Mn | 13.29% |
| 8 | Axon Enterprise | 33.58 Bn | 28.11 Bn | 546.45 Mn | 5.17% |
| 9 | MongoDB | 29.47 Bn | 19.94 Bn | 569.77 Mn | 3.68% |
| 10 | Agassi Sports Entertainment | 66.56 Mn | 65.56 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2014 | 8.42% |
| Dec 31, 2013 | -40.27% |
| Sep 30, 2013 | -18.40% |
| Jun 30, 2013 | 3.26% |
| Mar 31, 2013 | -4.80% |
| Dec 31, 2012 | -42.57% |
| Sep 30, 2012 | -31.95% |
| Jun 30, 2012 | 12.53% |
| Mar 31, 2012 | -2.59% |
| Dec 31, 2011 | -14.20% |
| Sep 30, 2011 | -22.19% |
| Jun 30, 2011 | 16.66% |
| Mar 31, 2011 | -12.25% |
| Dec 31, 2010 | -40.66% |
| Sep 30, 2010 | -39.31% |
| Jun 30, 2010 | 0.79% |
Agassi Sports Entertainment 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=AASP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "AASP", "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=AASP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();