LiveRamp Holdings (RAMP) Prepaid Assets (2011 - 2017)
LiveRamp Holdings (RAMP) posted Prepaid Assets of $25.71 million for fiscal Q4 2017 (quarter ended Mar 31, 2017), up 1.4% from $25.37 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
LiveRamp Holdings (RAMP) Prepaid Assets (2011 - 2017) Analysis & Trends
Since fiscal Q4 2011, LiveRamp Holdings has reported Prepaid Assets for 25 quarters.
- Annual Prepaid Assets shows a five-year compound annual growth rate of -10.1% (FY2012 to FY2017).
- In prior fiscal years, LiveRamp Holdings' Prepaid Assets was $25.37 million in FY2016 (+22.6%), $20.68 million in FY2015 (-48.7%), $40.34 million in FY2014 (-10.4%) and $45.03 million in FY2013 (+2.9%).
- Quarterly Prepaid Assets has run from a low of $20.68 million in fiscal Q4 2015 to a high of $45.48 million in fiscal Q2 2014 over five years.
- On a year-over-year basis, Prepaid Assets has increased in each of the last three quarters, with an average decline of 9.5% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was fiscal Q4 2016, with growth of 22.6%; the weakest was fiscal Q4 2015, with a decline of 48.7%.
- According to Business Quant data, Prepaid Assets for the three prior fiscal quarters was $25.71 million (Q3 2017), $26.59 million (Q2 2017) and $22.12 million (Q1 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | LiveRamp Holdings | 2.29 Bn | 748.70 Mn | 150.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 25.71 Mn |
| Dec 31, 2016 | 25.71 Mn |
| Sep 30, 2016 | 26.59 Mn |
| Jun 30, 2016 | 22.12 Mn |
| Mar 31, 2016 | 25.37 Mn |
| Dec 31, 2015 | 23.08 Mn |
| Sep 30, 2015 | 24.98 Mn |
| Jun 30, 2015 | 22.21 Mn |
| Mar 31, 2015 | 20.68 Mn |
| Dec 31, 2014 | 35.75 Mn |
| Sep 30, 2014 | 43.41 Mn |
| Jun 30, 2014 | 36.92 Mn |
| Mar 31, 2014 | 40.34 Mn |
| Dec 31, 2013 | 38.50 Mn |
| Sep 30, 2013 | 45.48 Mn |
| Jun 30, 2013 | 42.47 Mn |
| Mar 31, 2013 | 45.03 Mn |
| Dec 31, 2012 | 38.82 Mn |
| Sep 30, 2012 | 44.82 Mn |
| Jun 30, 2012 | 44.42 Mn |
API Access
LiveRamp Holdings Prepaid Assets 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=prepaid-assets&ticker=RAMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "RAMP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=RAMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();