$6.61
+0 (+0%)
At Close: Jul 13, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $5.52 | $6.80 | Monday, 13th Jul 2026 UA stock ended at $6.61. During the day the stock fluctuated 2.80% from a day low at $6.61 to a day high of $6.80. |
| 90 days | $4.67 | $6.80 | |
| 52 weeks | $3.95 | $7.91 |
Historical Under Armour Inc Class C prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 13, 2026 | $6.67 | $6.80 | $6.61 | $6.61 | 2 105 033 |
| Jul 10, 2026 | $6.53 | $6.69 | $6.46 | $6.61 | 1 569 781 |
| Jul 09, 2026 | $6.33 | $6.55 | $6.31 | $6.45 | 1 514 460 |
| Jul 08, 2026 | $6.50 | $6.50 | $6.18 | $6.32 | 2 167 230 |
| Jul 07, 2026 | $6.72 | $6.75 | $6.51 | $6.57 | 3 327 976 |
| Jul 06, 2026 | $6.48 | $6.76 | $6.30 | $6.64 | 4 019 786 |
| Jul 02, 2026 | $6.42 | $6.54 | $6.34 | $6.48 | 2 213 481 |
| Jul 01, 2026 | $6.23 | $6.44 | $6.11 | $6.39 | 2 510 449 |
| Jun 30, 2026 | $5.97 | $6.22 | $5.91 | $6.22 | 2 552 052 |
| Jun 29, 2026 | $6.02 | $6.08 | $5.85 | $5.98 | 2 972 567 |
| Jun 26, 2026 | $5.91 | $6.17 | $5.83 | $6.06 | 0 |
| Jun 25, 2026 | $5.89 | $6.07 | $5.70 | $5.89 | 3 138 620 |
| Jun 24, 2026 | $5.62 | $5.92 | $5.62 | $5.88 | 3 615 980 |
| Jun 23, 2026 | $5.60 | $5.72 | $5.56 | $5.61 | 2 040 707 |
| Jun 22, 2026 | $5.76 | $5.84 | $5.68 | $5.73 | 2 346 888 |
| Jun 18, 2026 | $5.58 | $5.89 | $5.57 | $5.87 | 3 277 902 |
| Jun 17, 2026 | $5.67 | $5.90 | $5.52 | $5.53 | 2 162 046 |
| Jun 16, 2026 | $5.78 | $5.96 | $5.66 | $5.66 | 2 742 818 |
| Jun 15, 2026 | $5.95 | $6.01 | $5.74 | $5.85 | 2 667 300 |
| Jun 12, 2026 | $5.86 | $6.02 | $5.85 | $5.88 | 2 862 727 |
| Jun 11, 2026 | $5.51 | $5.83 | $5.51 | $5.83 | 2 295 951 |
| Jun 10, 2026 | $5.53 | $5.64 | $5.53 | $5.53 | 1 786 674 |
| Jun 09, 2026 | $5.56 | $5.76 | $5.50 | $5.61 | 2 307 880 |
| Jun 08, 2026 | $5.33 | $5.60 | $5.32 | $5.50 | 2 036 682 |
| Jun 05, 2026 | $5.38 | $5.52 | $5.28 | $5.39 | 2 339 538 |
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 UA stock historical prices to predict future price movements?
Trend Analysis: Examine the UA 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 UA 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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