$3.14
-0.120 (-3.68%)
At Close: Jun 23, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $2.78 | $4.12 | Tuesday, 23rd Jun 2026 DDD stock ended at $3.14. This is 3.68% less than the trading day before Monday, 22nd Jun 2026. During the day the stock fluctuated 5.48% from a day low at $3.10 to a day high of $3.27. |
| 90 days | $1.78 | $4.12 | |
| 52 weeks | $1.36 | $4.12 |
Historical 3D Systems Corporation prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 23, 2026 | $3.13 | $3.27 | $3.10 | $3.14 | 2 760 196 |
| Jun 22, 2026 | $3.55 | $3.55 | $3.25 | $3.26 | 2 286 854 |
| Jun 18, 2026 | $3.53 | $3.67 | $3.43 | $3.57 | 6 942 598 |
| Jun 17, 2026 | $3.24 | $3.60 | $3.23 | $3.44 | 5 619 536 |
| Jun 16, 2026 | $3.01 | $3.30 | $3.01 | $3.19 | 5 347 194 |
| Jun 15, 2026 | $3.16 | $3.17 | $2.99 | $3.03 | 3 315 890 |
| Jun 12, 2026 | $3.01 | $3.17 | $2.97 | $3.00 | 3 922 757 |
| Jun 11, 2026 | $2.93 | $3.07 | $2.89 | $3.02 | 6 029 188 |
| Jun 10, 2026 | $2.90 | $3.02 | $2.88 | $2.89 | 2 951 098 |
| Jun 09, 2026 | $3.02 | $3.17 | $2.78 | $2.95 | 4 565 240 |
| Jun 08, 2026 | $2.98 | $3.01 | $2.84 | $3.00 | 4 912 348 |
| Jun 05, 2026 | $3.05 | $3.08 | $2.83 | $2.91 | 9 067 170 |
| Jun 04, 2026 | $3.31 | $3.39 | $3.06 | $3.07 | 15 761 325 |
| Jun 03, 2026 | $3.82 | $3.88 | $3.58 | $3.61 | 5 459 917 |
| Jun 02, 2026 | $3.70 | $4.12 | $3.64 | $3.88 | 6 867 900 |
| Jun 01, 2026 | $3.49 | $3.84 | $3.46 | $3.72 | 8 495 827 |
| May 29, 2026 | $3.42 | $3.57 | $3.32 | $3.57 | 5 691 697 |
| May 28, 2026 | $3.53 | $3.62 | $3.42 | $3.51 | 4 589 198 |
| May 27, 2026 | $3.43 | $3.54 | $3.23 | $3.54 | 5 793 409 |
| May 26, 2026 | $3.20 | $3.74 | $3.06 | $3.49 | 10 168 329 |
| May 22, 2026 | $3.00 | $3.22 | $2.98 | $3.15 | 4 590 378 |
| May 21, 2026 | $2.74 | $3.00 | $2.74 | $2.99 | 3 371 799 |
| May 20, 2026 | $2.70 | $2.83 | $2.69 | $2.77 | 2 391 023 |
| May 19, 2026 | $2.76 | $2.77 | $2.60 | $2.67 | 3 061 985 |
| May 18, 2026 | $2.97 | $2.97 | $2.82 | $2.83 | 3 412 777 |
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 DDD stock historical prices to predict future price movements?
Trend Analysis: Examine the DDD 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 DDD 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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