$133.16
-0.0200 (-0.0150%)
At Close: Jul 31, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $130.46 | $145.66 | Friday, 31st Jul 2026 DORM stock ended at $133.16. This is 0.0150% less than the trading day before Thursday, 30th Jul 2026. During the day the stock fluctuated 3.31% from a day low at $130.63 to a day high of $134.96. |
| 90 days | $105.25 | $145.66 | |
| 52 weeks | $98.45 | $166.89 |
Historical Dorman Products prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 31, 2026 | $132.50 | $134.96 | $130.63 | $133.16 | 258 605 |
| Jul 30, 2026 | $138.86 | $138.86 | $132.83 | $133.18 | 297 406 |
| Jul 29, 2026 | $142.53 | $144.88 | $140.98 | $141.29 | 172 697 |
| Jul 28, 2026 | $139.20 | $143.57 | $138.30 | $143.17 | 161 276 |
| Jul 27, 2026 | $135.10 | $136.88 | $134.28 | $136.44 | 183 795 |
| Jul 24, 2026 | $132.86 | $135.28 | $130.46 | $134.20 | 231 902 |
| Jul 23, 2026 | $133.85 | $134.38 | $130.46 | $132.35 | 261 791 |
| Jul 22, 2026 | $139.79 | $140.35 | $133.99 | $134.90 | 314 876 |
| Jul 21, 2026 | $137.95 | $138.90 | $136.36 | $137.47 | 367 102 |
| Jul 20, 2026 | $142.63 | $143.01 | $137.01 | $137.67 | 208 002 |
| Jul 17, 2026 | $142.56 | $145.66 | $139.99 | $141.97 | 240 775 |
| Jul 16, 2026 | $138.79 | $144.41 | $138.79 | $144.12 | 228 851 |
| Jul 15, 2026 | $138.63 | $141.08 | $137.43 | $137.55 | 229 677 |
| Jul 14, 2026 | $140.34 | $140.49 | $137.48 | $138.62 | 232 294 |
| Jul 13, 2026 | $138.90 | $139.88 | $137.35 | $138.91 | 140 649 |
| Jul 10, 2026 | $137.71 | $139.49 | $136.58 | $138.50 | 228 072 |
| Jul 09, 2026 | $135.72 | $138.43 | $134.24 | $136.48 | 184 641 |
| Jul 08, 2026 | $137.95 | $139.68 | $134.40 | $135.25 | 351 820 |
| Jul 07, 2026 | $139.96 | $140.67 | $138.26 | $139.64 | 259 317 |
| Jul 06, 2026 | $137.84 | $140.65 | $137.02 | $140.07 | 214 867 |
| Jul 02, 2026 | $135.47 | $137.70 | $134.50 | $137.65 | 278 227 |
| Jul 01, 2026 | $136.55 | $138.56 | $135.32 | $135.75 | 242 924 |
| Jun 30, 2026 | $133.86 | $136.99 | $133.01 | $136.45 | 344 000 |
| Jun 29, 2026 | $133.08 | $133.08 | $132.19 | $132.56 | 283 952 |
| Jun 26, 2026 | $134.37 | $135.99 | $132.60 | $134.69 | 1 071 000 |
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 DORM stock historical prices to predict future price movements?
Trend Analysis: Examine the DORM 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 DORM 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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