Teradata (TDC) Finished Goods (2009 - 2016)
Teradata's Finished Goods was $20 million in Q4 2016, down 37.5% from $32 million a year earlier.
Powered by 
Analysis
Teradata (TDC) Finished Goods (2009 - 2016) Analysis & Trends
From Q4 2009 onward, Teradata has reported Finished Goods for 19 quarters.
- Finished Goods shows a five-year compound annual growth rate of -13.4% (FY2011 to FY2016).
- In earlier years, Finished Goods was $32 million in FY2015, $39 million in FY2013 (+50.0%) and $26 million in FY2012 (-36.6%).
- The Q4 2016 figure marks the lowest quarterly Finished Goods since Q3 2012.
- The best year-over-year quarter for Finished Goods over five years was Q2 2013 (growth of 226.7%); the worst was Q2 2012 (a decline of 55.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | Teradata | 2.66 Bn | 526.15 Mn | 243.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 20.00 Mn |
| Dec 31, 2015 | 32.00 Mn |
| Sep 30, 2014 | 27.00 Mn |
| Jun 30, 2014 | 33.00 Mn |
| Mar 31, 2014 | 25.00 Mn |
| Dec 31, 2013 | 39.00 Mn |
| Sep 30, 2013 | 44.00 Mn |
| Jun 30, 2013 | 49.00 Mn |
| Mar 31, 2013 | 44.00 Mn |
| Dec 31, 2012 | 26.00 Mn |
| Sep 30, 2012 | 19.00 Mn |
| Jun 30, 2012 | 15.00 Mn |
| Mar 31, 2012 | 33.00 Mn |
| Dec 31, 2011 | 41.00 Mn |
| Sep 30, 2011 | 40.00 Mn |
| Jun 30, 2011 | 34.00 Mn |
| Mar 31, 2011 | 38.00 Mn |
| Dec 31, 2010 | 39.00 Mn |
| Dec 31, 2009 | 27.00 Mn |
API Access
Teradata Finished Goods 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=finished-goods&ticker=TDC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "TDC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=TDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();