Digital Turbine (APPS) Non Operating Interest Expenses (2010 - 2018)
Digital Turbine's Non Operating Interest Expenses came in at $194,000 for fiscal Q3 2019 (quarter ended Dec 31, 2018), down 56.5% from $446,000 a year earlier but up 43.7% from the prior quarter.
Digital Turbine (APPS) Non Operating Interest Expenses (2010 - 2018) Analysis & Trends
Going back to fiscal Q1 2011, Digital Turbine's Non Operating Interest Expenses data covers 11 quarters.
- The five-year range for quarterly Non Operating Interest Expenses is $135,000 (fiscal Q2 2019) to $725,000 (fiscal Q3 2017).
- Year-over-year, Non Operating Interest Expenses has declined for three consecutive quarters, with an average decline of 57.4% over the last four quarters.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | - |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | - |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 184.70 Mn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | -346.00 Mn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 152.00 Mn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 51.07 Mn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | -33.36 Mn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 311.00 Mn |
| 10 | Digital Turbine | 1.37 Bn | 1.21 Bn | 94.94 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 194,000.00 |
| Sep 30, 2018 | 135,000.00 |
| Jun 30, 2018 | 319,000.00 |
| Dec 31, 2017 | 446,000.00 |
| Sep 30, 2017 | 662,000.00 |
| 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 |
Digital Turbine Non Operating 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=non-operating-interest-expenses&ticker=APPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=APPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();