SXI Standex International Corp Forecast, Technical & Fundamental Analysis

Technical Analysis (Indicators)

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on October 15, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SXI as a result. In 57 of 95 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 60%.

The Moving Average Convergence Divergence Histogram (MACD) for SXI turned negative on October 15, 2026. 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 41 similar instances when the indicator turned negative. In 27 of the 41 cases the stock turned lower in the days that followed. This puts the odds of success at 66%.

SXI moved below its 50-day moving average on October 07, 2026 date and that indicates a change from an upward trend to a downward trend.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where SXI declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 58%.

Bullish Trend Analysis

The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 3 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.

Following a +2.96% 3-day Advance, the price is estimated to grow further. Considering data from situations where SXI advanced for three days, in 219 of 335 cases, the price rose further within the following month. The odds of a continued upward trend are 65%.

The Aroon Indicator entered an Uptrend today. In 141 of 226 cases where SXI Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 62%.

Fundamental Analysis (Ratings)

The Tickeron Profit vs. Risk Rating rating for this company is 28 (best 1 - 100 worst), indicating low risk on high returns. The average Profit vs. Risk Rating rating for the industry is 75, placing this stock better than average.

The Tickeron Price Growth Rating for this company is 55 (best 1 - 100 worst), indicating steady price growth. SXI’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.

The Tickeron SMR rating for this company is 59 (best 1 - 100 worst), indicating 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 Valuation Rating of 71 (best 1 - 100 worst) indicates that the company is slightly overvalued 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 (4.238) is normal, around the industry mean (4.503). P/E Ratio (29.991) is within average values for comparable stocks, (38.302). Projected Growth (PEG Ratio) (0.952) is also within normal values, averaging (1.879). Dividend Yield (0.005) settles around the average of (0.029) among similar stocks. P/S Ratio (3.510) is also within normal values, averaging (186.943).

The Tickeron PE Growth Rating for this company is 84 (best 1 - 100 worst), pointing to worse than average 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 Seasonality Score of 85 (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.