73.28€
+0.90 (+1.24%)
At Close: Jun 12, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | 70.72€ | 76.46€ | Friday, 12th Jun 2026 NN.AS stock ended at 73.28€. This is 1.24% more than the trading day before Thursday, 11th Jun 2026. During the day the stock fluctuated 0.741% from a day low at 72.90€ to a day high of 73.44€. |
| 90 days | 63.22€ | 76.46€ | |
| 52 weeks | 54.68€ | 76.46€ |
Historical NN Group N.V. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 12, 2026 | 73.36€ | 73.44€ | 72.90€ | 73.28€ | 444 636 |
| Jun 11, 2026 | 72.02€ | 72.78€ | 71.78€ | 72.38€ | 448 213 |
| Jun 10, 2026 | 71.94€ | 72.00€ | 70.94€ | 71.86€ | 0 |
| Jun 09, 2026 | 71.32€ | 72.34€ | 71.32€ | 71.46€ | 478 204 |
| Jun 08, 2026 | 71.48€ | 71.90€ | 71.28€ | 71.28€ | 523 748 |
| Jun 05, 2026 | 71.24€ | 71.60€ | 71.02€ | 71.32€ | 643 863 |
| Jun 04, 2026 | 71.60€ | 71.82€ | 70.72€ | 71.20€ | 703 051 |
| Jun 03, 2026 | 71.52€ | 71.90€ | 71.18€ | 71.50€ | 638 956 |
| Jun 02, 2026 | 71.66€ | 71.82€ | 71.00€ | 71.78€ | 565 006 |
| Jun 01, 2026 | 71.68€ | 71.82€ | 70.84€ | 71.68€ | 570 221 |
| May 29, 2026 | 72.68€ | 72.74€ | 71.32€ | 71.68€ | 1 523 393 |
| May 28, 2026 | 73.28€ | 73.50€ | 72.12€ | 72.38€ | 762 657 |
| May 27, 2026 | 74.76€ | 74.82€ | 73.66€ | 73.86€ | 552 090 |
| May 26, 2026 | 74.64€ | 75.64€ | 74.64€ | 74.76€ | 624 319 |
| May 25, 2026 | 73.80€ | 74.72€ | 73.80€ | 74.54€ | 668 622 |
| May 22, 2026 | 75.32€ | 76.46€ | 75.22€ | 75.84€ | 1 195 043 |
| May 21, 2026 | 75.10€ | 75.82€ | 74.90€ | 75.52€ | 758 873 |
| May 20, 2026 | 73.84€ | 75.50€ | 73.42€ | 75.06€ | 838 414 |
| May 19, 2026 | 76.06€ | 76.16€ | 74.24€ | 74.48€ | 1 106 997 |
| May 18, 2026 | 75.40€ | 76.36€ | 75.14€ | 75.96€ | 583 017 |
| May 15, 2026 | 76.00€ | 76.40€ | 75.52€ | 75.74€ | 729 791 |
| May 14, 2026 | 76.12€ | 76.30€ | 75.68€ | 76.22€ | 424 398 |
| May 13, 2026 | 75.48€ | 75.74€ | 74.80€ | 75.58€ | 621 886 |
| May 12, 2026 | 75.70€ | 75.76€ | 74.62€ | 74.88€ | 631 453 |
| May 11, 2026 | 75.00€ | 76.20€ | 74.70€ | 76.20€ | 0 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use NN.AS stock historical prices to predict future price movements?
Trend Analysis: Examine the NN.AS stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the NN.AS stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.
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