Overview
Quote
Description
nCino, Inc. engages in the provision of cloud-based software applications for financial institutions in the United States and internationally. Its nCino Bank Operating System, a tenant cloud platform, digitizes, automates, and streamlines complex processes and workflow, and utilizes data analytics and artificial intelligence and machine learning (AI/ML) to enable financial institutions to onboard new clients, make loans, and manage the entire loan life cycle, open deposit and other accounts, and manage regulatory compliance. The firm's nCino IQ is an application suite that utilizes data analytics and AI/ML to provide its customers with automation and insights into their operations, such as tools for analyzing, measuring, and managing credit risk, as well as to enhance their ability to comply with regulatory requirements. The company was founded by Pierre Naudé in 2011 and is headquartered in Wilmington, NC.
Finance Specialty Finance and Services Finance Software and Services United States
Chart
Financials
Key metrics
| Market capitalisation, EUR | 1,936 m |
| EPS, EUR | 0.10 |
| P/B ratio | 2.4 |
| P/E ratio | 173.0 |
| Dividend yield | 0.00% |
Income statement (2025)
| Revenue, EUR | 522 m |
| Net income, EUR | 5 m |
| Profit margin | 0.87% |
What ETF is nCino in?
There are 48 ETFs which contain nCino. All of these ETFs are listed in the table below. The ETF with the largest weighting of nCino is the WisdomTree Cloud Computing UCITS ETF USD Acc.
Performance
Returns overview
| YTD | -15.70% |
| 1 month | -1.31% |
| 3 months | +21.29% |
| 6 months | +22.88% |
| 1 year | -9.62% |
| 3 years | -29.32% |
| 5 years | -70.04% |
| Since inception (MAX) | -69.38% |
| 2025 | -31.80% |
| 2024 | +5.83% |
| 2023 | +27.69% |
| 2022 | -49.82% |
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 | 55.32% |
| Volatility 3 years | 45.34% |
| Volatility 5 years | 53.52% |
| Return per risk 1 year | -0.17 |
| Return per risk 3 years | -0.24 |
| Return per risk 5 years | -0.40 |
| Maximum drawdown 1 year | -47.84% |
| Maximum drawdown 3 years | -70.12% |
| Maximum drawdown 5 years | -81.83% |
| Maximum drawdown since inception | -85.43% |
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.
