LiveRamp Holdings (RAMP) Interest Expenses (2009 - 2018)
LiveRamp Holdings (RAMP) recorded Interest Expenses of $2.84 million in fiscal Q1 2019 (quarter ended Jun 30, 2018), up 21.2% from $2.34 million a year earlier and up 5.2% from the prior quarter.
LiveRamp Holdings (RAMP) Interest Expenses (2009 - 2018) Analysis & Trends
On a TTM basis, LiveRamp Holdings' Interest Expenses came in at $10.63 million as of Jun 30, 2018, up 34.3% year-over-year; for FY2018 (ended Mar 31, 2018), it was $10.13 million, up 37.3% from FY2017.
- Annual Interest Expenses has a five-year compound annual growth rate of -4.4% (FY2013 to FY2018).
- Across earlier fiscal years, Interest Expenses came in at $7.38 million in FY2017 (-3.8%), $7.67 million in FY2016 (unchanged), $7.67 million in FY2015 (-11.5%) and $8.67 million in FY2014 (-31.7%).
- The fiscal Q1 2019 figure is the highest quarterly Interest Expenses since fiscal Q3 2014.
- On a year-over-year basis, Interest Expenses has increased for six consecutive quarters, with growth averaging 20.4% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 49.4% in fiscal Q2 2018, against a decline of 38.9% in fiscal Q2 2015 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.7 million (Q4 2018), $2.57 million (Q3 2018) and $2.52 million (Q2 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 1.43 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | - |
| 10 | LiveRamp Holdings | 2.28 Bn | 743.23 Mn | 150.94 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 2.84 Mn |
| Mar 31, 2018 | 2.70 Mn |
| Dec 31, 2017 | 2.57 Mn |
| Sep 30, 2017 | 2.52 Mn |
| Jun 30, 2017 | 2.34 Mn |
| Mar 31, 2017 | 2.14 Mn |
| Dec 31, 2016 | 1.74 Mn |
| Sep 30, 2016 | 1.69 Mn |
| Jun 30, 2016 | 1.81 Mn |
| Mar 31, 2016 | 1.88 Mn |
| Dec 31, 2015 | 1.95 Mn |
| Sep 30, 2015 | 1.96 Mn |
| Jun 30, 2015 | 1.89 Mn |
| Mar 31, 2015 | 1.90 Mn |
| Dec 31, 2014 | 2.01 Mn |
| Sep 30, 2014 | 1.82 Mn |
| Jun 30, 2014 | 1.95 Mn |
| Mar 31, 2014 | -442,000.00 |
| Dec 31, 2013 | 3.11 Mn |
| Sep 30, 2013 | 2.98 Mn |
LiveRamp Holdings 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=interest-expenses&ticker=RAMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=RAMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();