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Teradata
ISIN US88076W1036
|WKN A0M0ZR
Market cap (in EUR)
2,508 m
Country
United States
Sector
Technology
Dividend yield
0.00%
Overview
Quote
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Description
Teradata Corp. is a cloud data analytics company which is built for a multi-cloud reality and solving data challenges at scale. It operates through the following geographical segments: Americas, EMEA, and APJ. The company was founded on July 13, 1979, and is headquartered in San Diego, CA.
Technology Software and Consulting Software United States
Chart
Financials
Key metrics
| Market capitalisation, EUR | 2,508 m |
| EPS, EUR | 1.11 |
| P/B ratio | 13.5 |
| P/E ratio | 25.8 |
| Dividend yield | 0.00% |
Income statement (2024)
| Revenue, EUR | 1,618 m |
| Net income, EUR | 105 m |
| Profit margin | 6.51% |
What ETF is Teradata in?
There are 38 ETFs which contain Teradata. All of these ETFs are listed in the table below. The ETF with the largest weighting of Teradata is the Invesco Artificial Intelligence Enablers UCITS ETF Acc.
Performance
Returns overview
| YTD | +1.85% |
| 1 month | -2.15% |
| 3 months | +39.69% |
| 6 months | +37.37% |
| 1 year | -7.77% |
| 3 years | -17.23% |
| 5 years | - |
| Since inception (MAX) | -38.73% |
| 2025 | -8.60% |
| 2024 | -27.53% |
| 2023 | +22.96% |
| 2022 | -14.25% |
Monthly returns in a heat map
Risk
Risk metrics in this section:
- Volatility, annualised, measured for 1, 3 and 5 year periods. The annualised volatility reflects the degree of price fluctuations during a one year period. The higher the volatility, the more significantly the price of the asset (stock, ETF, etc.) has changed in the past. Assets with higher volatility are generally considered more risky. We calculate the volatility based on the data for the past 1, 3 and 5 years so that you can see if price fluctuations for the ETF became stronger or weaker over time.
- Return per risk for 1, 3 and 5 year periods. This is the annualised (i.e. converted to a one year period) past return divided by the past annualised volatility. The metric puts the historical return of an asset in relation to its historical risk and gives you a retrospective indication of the degree of price fluctuation you had to bear with in order to obtain the return. We calculate this parameter for 1, 3 and 5 year periods to display its evolution over time.
- Maximum drawdown for a period. This shows the worst possible loss an investor could have suffered during the respective period, by first buying and subsequently selling the asset at the least favourable prices. For example, if there was the following sequence of daily ETF prices: 10€, 5€, 12€, 20€, an investor would have suffered the worst loss by buying for 10€ and subsequently selling for 5€. Therefore in this case the maximum drawdown would be (5€ - 10€)/10€ = -50%.
Risk overview
| Volatility 1 year | 47.20% |
| Volatility 3 years | 40.14% |
| Volatility 5 years | - |
| Return per risk 1 year | -0.16 |
| Return per risk 3 years | -0.15 |
| Return per risk 5 years | - |
| Maximum drawdown 1 year | -43.41% |
| Maximum drawdown 3 years | -66.84% |
| Maximum drawdown 5 years | - |
| Maximum drawdown since inception | -66.84% |
Rolling 1 year volatility
Latest articles
— Data provided by Trackinsight, etfinfo, Xignite Inc., gettex, FactSet and justETF GmbH. Quotes are either real-time (gettex) or 15 minutes delayed stock exchange quotes or NAVs (daily published by the fund provider). By default, ETF returns include dividend payments (if applicable). There is no warranty for completeness, accuracy and correctness for the displayed information.