55.26€
-0.0600 (-0.108%)
At Close: Aug 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | 54.70€ | 58.30€ | Monday, 10th Aug 2026 DHL.DE stock ended at 55.26€. This is 0.108% less than the trading day before Friday, 7th Aug 2026. During the day the stock fluctuated 0.99% from a day low at 54.76€ to a day high of 55.30€. |
| 90 days | 46.06€ | 58.30€ | |
| 52 weeks | 36.99€ | 58.30€ |
Historical Deutsche Post Ag prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 10, 2026 | 55.18€ | 55.30€ | 54.76€ | 55.26€ | 1 340 963 |
| Aug 07, 2026 | 55.78€ | 55.86€ | 54.70€ | 55.32€ | 1 468 832 |
| Aug 06, 2026 | 55.70€ | 56.00€ | 55.06€ | 55.30€ | 1 895 872 |
| Aug 05, 2026 | 57.78€ | 57.94€ | 55.16€ | 55.58€ | 2 662 396 |
| Aug 04, 2026 | 57.56€ | 58.04€ | 57.40€ | 57.72€ | 1 575 750 |
| Aug 03, 2026 | 58.12€ | 58.30€ | 57.40€ | 57.40€ | 2 066 819 |
| Jul 31, 2026 | 58.16€ | 58.20€ | 57.44€ | 57.76€ | 1 320 646 |
| Jul 30, 2026 | 57.14€ | 58.08€ | 56.84€ | 57.82€ | 1 727 733 |
| Jul 29, 2026 | 57.28€ | 57.62€ | 57.02€ | 57.18€ | 0 |
| Jul 28, 2026 | 57.56€ | 57.80€ | 57.02€ | 57.38€ | 1 470 218 |
| Jul 27, 2026 | 57.64€ | 57.88€ | 57.06€ | 57.06€ | 1 612 762 |
| Jul 24, 2026 | 56.30€ | 57.24€ | 56.30€ | 57.04€ | 1 169 596 |
| Jul 23, 2026 | 57.18€ | 57.28€ | 55.98€ | 56.34€ | 1 866 860 |
| Jul 22, 2026 | 56.66€ | 57.32€ | 56.24€ | 57.08€ | 1 741 372 |
| Jul 21, 2026 | 56.68€ | 57.12€ | 56.44€ | 57.12€ | 1 835 534 |
| Jul 20, 2026 | 56.44€ | 56.90€ | 56.12€ | 56.22€ | 1 500 999 |
| Jul 17, 2026 | 56.96€ | 57.44€ | 56.46€ | 56.90€ | 2 139 626 |
| Jul 16, 2026 | 57.76€ | 57.78€ | 56.54€ | 56.98€ | 2 013 948 |
| Jul 15, 2026 | 56.88€ | 57.72€ | 56.70€ | 57.72€ | 1 925 219 |
| Jul 14, 2026 | 56.32€ | 57.36€ | 56.32€ | 57.22€ | 1 314 958 |
| Jul 13, 2026 | 56.06€ | 57.06€ | 56.00€ | 56.94€ | 1 326 178 |
| Jul 10, 2026 | 56.86€ | 56.90€ | 56.08€ | 56.30€ | 1 765 722 |
| Jul 09, 2026 | 55.88€ | 56.72€ | 55.36€ | 56.72€ | 2 165 330 |
| Jul 08, 2026 | 56.78€ | 56.78€ | 55.02€ | 55.26€ | 2 402 968 |
| Jul 07, 2026 | 56.18€ | 57.38€ | 55.88€ | 56.68€ | 2 473 844 |
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 DHL.DE stock historical prices to predict future price movements?
Trend Analysis: Examine the DHL.DE 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 DHL.DE 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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