Digital Turbine (APPS) Interest Expenses (2010 - 2018)
Digital Turbine (APPS) recorded Interest Expenses of $194,000 in fiscal Q3 2019 (quarter ended Dec 31, 2018), down 56.5% from $446,000 a year earlier.
Analysis
Digital Turbine (APPS) Interest Expenses (2010 - 2018) Analysis & Trends
Starting with fiscal Q1 2011, Digital Turbine's Interest Expenses history includes 9 quarters.
- The fiscal Q3 2019 figure is the lowest quarterly Interest Expenses in data going back to fiscal Q1 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | - |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -345.42 Mn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 51.16 Mn |
| 10 | Digital Turbine | 1.34 Bn | 1.19 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 194,000.00 |
| Jun 30, 2018 | 319,000.00 |
| Dec 31, 2017 | 446,000.00 |
| Jun 30, 2017 | 707,000.00 |
| Dec 31, 2016 | 725,000.00 |
| Dec 31, 2011 | 1.69 Mn |
| Jun 30, 2011 | 367,000.00 |
| Dec 31, 2010 | 358,000.00 |
| Jun 30, 2010 | 680,000.00 |
API Access
Digital Turbine 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=APPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "APPS", "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=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();