Trade Desk (TTD) Non Operating Interest Expenses (2015 - 2017)
Trade Desk (TTD) reported Non Operating Interest Expenses of $1.55 million for FY2018, down 13.5% from $1.79 million in FY2017.
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Analysis
Trade Desk (TTD) Non Operating Interest Expenses (2015 - 2017) Analysis & Trends
Dating back to FY2014, Trade Desk's Non Operating Interest Expenses record includes 5 years.
- Non Operating Interest Expenses has a four-year compound annual growth rate of 16.4% (FY2014 to FY2018).
- The FY2018 figure ranks as the lowest annual Non Operating Interest Expenses since FY2015.
- According to Business Quant data, Non Operating Interest Expenses came in at $1.79 million in FY2017 (-41.8%), $3.08 million in FY2016 (+169.5%), $1.14 million in FY2015 (+35.3%) and $843,000 in FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | - |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -346.00 Mn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | -24.41 Mn |
| 10 | Trade Desk | 5.72 Bn | 75.78 Mn | 530.72 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 501,000.00 |
| Sep 30, 2017 | 513,000.00 |
| Jun 30, 2017 | 413,000.00 |
| Mar 31, 2017 | 364,000.00 |
| Dec 31, 2016 | 411,000.00 |
| Sep 30, 2016 | 1.35 Mn |
| Jun 30, 2016 | 482,000.00 |
| Mar 31, 2016 | 835,000.00 |
| Dec 31, 2015 | 425,000.00 |
| Sep 30, 2015 | 295,000.00 |
API Access
Trade Desk 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=TTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "TTD", "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=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();