BKQNY Bank of Queensland Ltd. Forecast, Technical & Fundamental Analysis

BKQNY's Stochastic Oscillator is remaining in overbought zone for 1 day

Expect a price pull-back in the near future.

Technical Analysis (Indicators)

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on October 08, 2025. You may want to consider selling the stock, shorting the stock, or exploring put options on BKQNY as a result. In of 53 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .

The Moving Average Convergence Divergence Histogram (MACD) for BKQNY turned negative on September 15, 2025. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 34 similar instances when the indicator turned negative. In of the 34 cases the stock turned lower in the days that followed. This puts the odds of success at .

BKQNY moved below its 50-day moving average on September 23, 2025 date and that indicates a change from an upward trend to a downward trend.

The 10-day moving average for BKQNY crossed bearishly below the 50-day moving average on September 24, 2025. This indicates that the trend has shifted lower and could be considered a sell signal. In of 18 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .

Bullish Trend Analysis

The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where BKQNY's RSI Indicator exited the oversold zone, of 25 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .

The Aroon Indicator entered an Uptrend today. In of 124 cases where BKQNY Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .

Fundamental Analysis (Ratings)

The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating very strong sales and a profitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.

The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to consistent earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.

The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating fairly steady price growth. BKQNY’s price grows at a lower rate over the last 12 months as compared to S&P 500 index constituents.

The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating well-balanced risk and returns. The average Profit vs. Risk Rating rating for the industry is 52, placing this stock slightly worse than average.

The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is fair valued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (0.769) is normal, around the industry mean (1.125). P/E Ratio (15.886) is within average values for comparable stocks, (20.807). Projected Growth (PEG Ratio) (0.000) is also within normal values, averaging (3.818). Dividend Yield (0.048) settles around the average of (0.037) among similar stocks. P/S Ratio (3.618) is also within normal values, averaging (5.148).

The Tickeron Seasonality Score of (best 1 - 100 worst) indicates that the company is significantly overvalued in the industry. The Tickeron Seasonality score describes the variance of predictable price changes around the same period every calendar year. These changes can be tied to a specific month, quarter, holiday or vacation period, as well as a meteorological or growing season.