Couchbase
ISIN US22207T1016
|WKN A3CVRP
Overview
Description
Couchbase, Inc. engages in the development of document database management solutions. It offers its Couchbase platform to developers to build enterprise web, mobile, and Internet of things applications that support massive data volumes in real time. The company was founded by Phillips James, Dustin Sallings, Damien Katz, Jan Lehnardt, Phillips James, and J. Chris Anderson in 2008, and is headquartered in Santa Clara, CA.
Technology Software and Consulting Software United States
Chart
Financials
Key metrics
| Market capitalisation, EUR | 733.23 m |
| EPS, EUR | -1.36 |
| P/B ratio | 6.26 |
| P/E ratio | - |
| Dividend yield | 0.00% |
Income statement (2024)
| Revenue, EUR | 194.53 m |
| Net income, EUR | -69.33 m |
| Profit margin | -35.64% |
What ETF is Couchbase in?
There are 10 ETFs which contain Couchbase. All of these ETFs are listed in the table below. The ETF with the largest weighting of Couchbase is the iShares Digital Security UCITS ETF USD (Acc).
| ETF | Weight | Investment focus | Holdings | TER | Fund size (in m EUR) | Return 1Y | WKN | ISIN |
|---|---|---|---|---|---|---|---|---|
| iShares MSCI USA Small Cap ESG Enhanced UCITS ETF (Acc) | 0.01% | Equity United States Small Cap | 1,598 | 0.43% | 2,127 | -1.67% | A0X8SB | IE00B3VWM098 |
| SPDR MSCI World Small Cap UCITS ETF | 0.01% | Equity World Small Cap | 3,544 | 0.45% | 1,018 | +1.91% | A1W56P | IE00BCBJG560 |
| iShares MSCI World Small Cap UCITS ETF | 0.01% | Equity World Small Cap | 3,316 | 0.35% | 4,586 | +2.62% | A2DWBY | IE00BF4RFH31 |
| SPDR MSCI USA Small Cap Value Weighted UCITS ETF | 0.00% | Equity United States Small Cap | 1,731 | 0.30% | 545 | +1.90% | A12HU5 | IE00BSPLC413 |
| iShares Digital Security UCITS ETF USD (Acc) | 0.17% | Equity World Technology Social/Environmental Cybersecurity | 109 | 0.40% | 1,404 | +8.63% | A2JMGE | IE00BG0J4C88 |
| iShares MSCI World Small Cap ESG Enhanced UCITS ETF USD (Acc) | 0.00% | Equity World Small Cap | 2,528 | 0.35% | 66 | +0.67% | A3C14G | IE000T9EOCL3 |
| L&G Russell 2000 US Small Cap Quality UCITS ETF | 0.03% | Equity United States Small Cap | 1,021 | 0.30% | 194 | -0.02% | A0Q8H2 | IE00B3CNHJ55 |
| Xtrackers Russell 2000 UCITS ETF 1C | 0.02% | Equity United States Small Cap | 1,498 | 0.30% | 1,834 | -1.56% | A1XEJT | IE00BJZ2DD79 |
| SPDR Russell 2000 US Small Cap UCITS ETF | 0.02% | Equity United States Small Cap | 1,784 | 0.30% | 4,158 | -1.48% | A1XFN1 | IE00BJ38QD84 |
| iShares Digital Security UCITS ETF USD (Dist) | 0.17% | Equity World Technology Social/Environmental Cybersecurity | 109 | 0.40% | 139 | +8.70% | A2JNYG | IE00BG0J4841 |
Performance
Returns overview
| YTD | -3.71% |
| 1 month | -24.02% |
| 3 months | -9.65% |
| 6 months | +1.24% |
| 1 year | -46.00% |
| 3 years | -9.37% |
| 5 years | - |
| Since inception (MAX) | -55.02% |
| 2024 | -34.40% |
| 2023 | +65.72% |
| 2022 | -39.82% |
| 2021 | - |
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 | 52.34% |
| Volatility 3 years | 57.61% |
| Volatility 5 years | - |
| Return per risk 1 year | - |
| Return per risk 3 years | - |
| Return per risk 5 years | - |
| Maximum drawdown 1 year | -53.61% |
| Maximum drawdown 3 years | -54.66% |
| Maximum drawdown 5 years | - |
| Maximum drawdown since inception | -75.67% |
Rolling 1 year volatility
— 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.