Trade Desk (TTD) Interest Expenses (2015 - 2017)
Trade Desk's Interest Expenses was $1.55 million in FY2018, down 13.5% from $1.79 million in FY2017.
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Analysis
Trade Desk (TTD) Interest Expenses (2015 - 2017) Analysis & Trends
From FY2014 onward, Trade Desk has reported Interest Expenses for 5 years.
- Interest Expenses shows a four-year compound annual growth rate of 16.4% (FY2014 to FY2018).
- The FY2018 figure marks the lowest annual Interest Expenses since FY2015.
- Per Business Quant data, Interest Expenses in earlier years was $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) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | - |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | -345.42 Mn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | - |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 51.16 Mn |
| 10 | Trade Desk | 5.66 Bn | 19.42 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 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=TTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();