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Range Low Price High Price Comment
30 days $25.76 $25.76 Thursday, 28th Apr 2022 BOMN stock ended at $25.76. During the day the stock fluctuated 0% from a day low at $25.76 to a day high of $25.76.
90 days $23.85 $27.10
52 weeks $23.85 $44.50

Historical Boston Omaha Corp prices

Date Open High Low Close Volume
Feb 15, 2022 $25.90 $26.92 $25.60 $26.86 69 042
Feb 14, 2022 $25.38 $25.79 $25.05 $25.22 83 379
Feb 11, 2022 $26.13 $26.46 $25.64 $25.91 65 090
Feb 10, 2022 $26.15 $27.00 $25.90 $26.06 101 636
Feb 09, 2022 $26.21 $26.53 $25.96 $26.49 105 195
Feb 08, 2022 $25.57 $26.00 $25.38 $25.80 95 323
Feb 07, 2022 $25.32 $25.94 $25.11 $25.59 99 335
Feb 04, 2022 $24.95 $25.80 $24.71 $25.45 75 710
Feb 03, 2022 $25.26 $25.59 $24.80 $24.99 95 851
Feb 02, 2022 $26.48 $26.48 $25.21 $25.33 94 766
Feb 01, 2022 $26.47 $26.80 $26.01 $26.29 101 844
Jan 31, 2022 $25.20 $26.44 $25.12 $26.39 99 864
Jan 28, 2022 $24.18 $25.20 $23.85 $25.15 116 253
Jan 27, 2022 $24.99 $25.31 $24.09 $24.18 127 968
Jan 26, 2022 $26.13 $26.42 $24.55 $24.78 146 730
Jan 25, 2022 $25.42 $25.89 $24.72 $25.57 145 462
Jan 24, 2022 $24.96 $25.94 $24.29 $25.77 207 806
Jan 21, 2022 $25.84 $26.47 $24.81 $25.50 230 376
Jan 20, 2022 $26.79 $27.74 $25.78 $25.84 163 181
Jan 19, 2022 $28.14 $28.53 $26.28 $26.68 260 115
Jan 18, 2022 $28.42 $28.88 $27.91 $28.05 135 414
Jan 14, 2022 $29.82 $29.82 $27.77 $28.45 98 190
Jan 13, 2022 $29.77 $30.29 $29.29 $29.44 98 325
Jan 12, 2022 $30.43 $30.70 $29.44 $29.47 139 676
Jan 11, 2022 $29.47 $30.36 $29.30 $30.14 119 435

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.

How can I use BOMN stock historical prices to predict future price movements?
Trend Analysis: Examine the BOMN 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.

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.

Why do the BOMN 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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