This comparison examines PLAB, QCOM, and TER, three semiconductor-adjacent stocks whose business models intersect with chip manufacturing, testing, and connectivity. The analysis highlights differences in recent performance, growth drivers, and risk profiles within the current market environment. Institutional investors, active traders, and sector-focused portfolios may find the relative positioning useful for understanding trade-offs across the semiconductor supply chain without favoring any single name.
Photronics, Inc. manufactures photomasks used in semiconductor fabrication. In recent market activity, shares declined sharply after the company reported weaker-than-expected Q2 results in late May, prompting a federal securities lawsuit alleging inadequate disclosure of production challenges. The stock has since traded near the lower end of its 52-week range and below its 200-day moving average. Broader sentiment reflects caution around order visibility and margin pressure, though longer-term demand for advanced-node photomasks remains tied to semiconductor industry expansion.
QUALCOMM Incorporated develops and licenses wireless technologies, mobile processors, and connectivity solutions, with growing exposure to automotive and Internet of Things (IoT) applications. Recent weeks featured announcements of planned double-digit price increases on certain chips amid higher supply costs. Shares have fluctuated and currently sit toward the lower portion of the 52-week range. Market positioning reflects ongoing interest in AI-related opportunities alongside broader semiconductor cyclicality and competitive dynamics in mobile and edge computing.
Teradyne, Inc. supplies automated test equipment for semiconductors and advanced robotics systems. The company reported record Q1 revenue and earnings, supported by strong demand for semiconductor test solutions linked to AI infrastructure. In recent market activity, shares faced downward pressure amid sector-wide tariff concerns ahead of the Q2 earnings release scheduled for late July. Performance in the broader timeframe has benefited from elevated capital spending by chipmakers, though sensitivity to trade policy and test-volume fluctuations remains a factor.
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Business models differ markedly: PLAB focuses on upstream photomask production, QCOM emphasizes chip design and licensing across wireless and computing segments, while TER provides critical test and automation equipment further down the manufacturing flow. Growth drivers center on AI-related capital expenditure for TER and select QCOM opportunities, whereas PLAB faces nearer-term execution challenges. Recent momentum shows TER with the strongest multi-month gains despite volatility, QCOM exhibiting mixed price action, and PLAB underperforming post-earnings. Risk factors include litigation and order uncertainty for PLAB, pricing and competition for QCOM, and tariff exposure plus earnings timing for TER. Valuation sensitivity varies with each firm’s earnings visibility and sector beta, while overall market sentiment remains tempered by macroeconomic and trade-policy developments.
Based on observable factors such as trend consistency within the AI-driven test equipment segment, relative stability of order momentum, and positioning ahead of near-term catalysts, Tickeron’s AI would currently assign a higher probabilistic preference to TER among the three names. This assessment reflects contrasts in recent performance trajectories and sector tailwinds rather than any guarantee of future outcomes.
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It is best to consider a long-term outlook for a ticker by using Fundamental Analysis (FA) ratings. The rating of 1 to 100, where 1 is best and 100 is worst, is divided into thirds. The first third (a green rating of 1-33) indicates that the ticker is undervalued; the second third (a grey number between 34 and 66) means that the ticker is valued fairly; and the last third (red number of 67 to 100) reflects that the ticker is undervalued. We use an FA Score to show how many ratings show the ticker to be undervalued (green) or overvalued (red).
PLAB’s FA Score shows that 1 FA rating(s) are green whileQCOM’s FA Score has 1 green FA rating(s), and TER’s FA Score reflects 1 green FA rating(s).
It is best to consider a short-term outlook for a ticker by using Technical Analysis (TA) indicators. We use Odds of Success as the percentage of outcomes which confirm successful trade signals in the past.
If the Odds of Success (the likelihood of the continuation of a trend) for each indicator are greater than 50%, then the generated signal is confirmed. A green percentage from 90% to 51% indicates that the ticker is in a bullish trend. A red percentage from 90% - 51% indicates that the ticker is in a bearish trend. All grey percentages are below 50% and are considered not to confirm the trend signal.
PLAB’s TA Score shows that 3 TA indicator(s) are bullish while QCOM’s TA Score has 3 bullish TA indicator(s), and TER’s TA Score reflects 3 bullish TA indicator(s).
PLAB (@Electronic Production Equipment) experienced а +2.90% price change this week, while QCOM (@Semiconductors) price change was -0.16% , and TER (@Electronic Production Equipment) price fluctuated +0.30% for the same time period.
The average weekly price growth across all stocks in the @Electronic Production Equipment industry was -17.21%. For the same industry, the average monthly price growth was -24.78%, and the average quarterly price growth was +24.89%.
The average weekly price growth across all stocks in the @Semiconductors industry was -12.68%. For the same industry, the average monthly price growth was -18.15%, and the average quarterly price growth was +25.36%.
PLAB is expected to report earnings on Aug 27, 2026.
QCOM is expected to report earnings on Jul 29, 2026.
TER is expected to report earnings on Jul 28, 2026.
The electronic production equipment industry makes equipment used to produce semiconductors. Such equipment includes wafer fabrication, plasma etching and photo-resist processing equipment. The industry also makes chemical vapor deposition processing systems and photomasks, which are high-purity quartz plates that contain patterns to define integrated circuits layouts. Applied Materials, Inc., Lam Research Corporation, and KLA-Tencor Corporation are examples of electronic production equipment manufacturing companies.
@Semiconductors (-12.68% weekly)The semiconductor industry manufacturers all chip-related products, including research and development. These chips are used in innumerable electronic devices, including computers, cell phones, smartphones, and GPSs. Intel Corporation, NVIDIA Corp., and Broadcomm are some of the prominent players in this industry. Semiconductor companies usually tend to do well during periods of healthy economic growth, thereby inducing further research and development in the industry – which in turn augurs well for productivity and growth in the economy. In the near future, demand for semiconductor products (and possibly innovation within the segment) should only expand further, with the proliferation of 5G, autonomous vehicles, IoT, and various AI-driven electronics set to herald a new, advanced chapter in the technology-driven world as we know it. With burgeoning prospects comes great competition. In 2015, SIA estimated that U.S. semiconductor industry ranks as the second most competitive U.S. industry out of 2882 U.S. industries designated manufacturers by the U.S. Census Bureau.
| PLAB | QCOM | TER | |
| Capitalization | 1.76B | 179B | 52.4B |
| EBITDA | 320M | 14B | 1.14B |
| Gain YTD | -6.937 | 0.417 | 73.092 |
| P/E Ratio | 10.99 | 18.28 | 62.11 |
| Revenue | 861M | 44.5B | 3.79B |
| Total Cash | 638M | 9.8B | 246M |
| Total Debt | 3.86M | 15.3B | 82.4M |
PLAB | QCOM | TER | ||
|---|---|---|---|---|
OUTLOOK RATING 1..100 | 57 | 55 | 69 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 27 Undervalued | 40 Fair valued | 78 Overvalued | |
PROFIT vs RISK RATING 1..100 | 66 | 73 | 40 | |
SMR RATING 1..100 | 62 | 27 | 34 | |
PRICE GROWTH RATING 1..100 | 61 | 56 | 36 | |
P/E GROWTH RATING 1..100 | 49 | 37 | 7 | |
SEASONALITY SCORE 1..100 | 50 | 85 | 50 |
Tickeron ratings are formulated such that a rating of 1 designates the most successful stocks in a given industry, while a rating of 100 points to the least successful stocks for that industry.
PLAB's Valuation (27) in the Electronic Production Equipment industry is in the same range as QCOM (40) in the Telecommunications Equipment industry, and is somewhat better than the same rating for TER (78) in the Electronic Production Equipment industry. This means that PLAB's stock grew similarly to QCOM’s and somewhat faster than TER’s over the last 12 months.
TER's Profit vs Risk Rating (40) in the Electronic Production Equipment industry is in the same range as PLAB (66) in the Electronic Production Equipment industry, and is somewhat better than the same rating for QCOM (73) in the Telecommunications Equipment industry. This means that TER's stock grew similarly to PLAB’s and somewhat faster than QCOM’s over the last 12 months.
QCOM's SMR Rating (27) in the Telecommunications Equipment industry is in the same range as TER (34) in the Electronic Production Equipment industry, and is somewhat better than the same rating for PLAB (62) in the Electronic Production Equipment industry. This means that QCOM's stock grew similarly to TER’s and somewhat faster than PLAB’s over the last 12 months.
TER's Price Growth Rating (36) in the Electronic Production Equipment industry is in the same range as QCOM (56) in the Telecommunications Equipment industry, and is in the same range as PLAB (61) in the Electronic Production Equipment industry. This means that TER's stock grew similarly to QCOM’s and similarly to PLAB’s over the last 12 months.
TER's P/E Growth Rating (7) in the Electronic Production Equipment industry is in the same range as QCOM (37) in the Telecommunications Equipment industry, and is somewhat better than the same rating for PLAB (49) in the Electronic Production Equipment industry. This means that TER's stock grew similarly to QCOM’s and somewhat faster than PLAB’s over the last 12 months.
| PLAB | QCOM | TER | |
|---|---|---|---|
| RSI ODDS (%) | N/A | N/A | N/A |
| Stochastic ODDS (%) | 1 day ago 80% | 1 day ago 66% | 1 day ago 65% |
| Momentum ODDS (%) | 1 day ago 66% | 1 day ago 64% | 1 day ago 74% |
| MACD ODDS (%) | 7 days ago 78% | N/A | 1 day ago 75% |
| TrendWeek ODDS (%) | 1 day ago 74% | 1 day ago 70% | 1 day ago 79% |
| TrendMonth ODDS (%) | 1 day ago 70% | 1 day ago 70% | 1 day ago 70% |
| Advances ODDS (%) | 8 days ago 74% | 7 days ago 64% | 8 days ago 79% |
| Declines ODDS (%) | 1 day ago 74% | 5 days ago 74% | 1 day ago 66% |
| BollingerBands ODDS (%) | 1 day ago 78% | 1 day ago 71% | 1 day ago 78% |
| Aroon ODDS (%) | 1 day ago 67% | 1 day ago 66% | 1 day ago 82% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| CABZ | 20.90 | 0.36 | +1.74% |
| Roundhill Robotaxi Atnms Vhcls & TechETF | |||
| PMAU | 26.73 | 0.26 | +0.96% |
| PGIM S&P 500 Max Buffer ETF - August | |||
| STCE | 64.48 | 0.12 | +0.19% |
| Schwab Crypto Thematic ETF | |||
| IBTJ | 21.53 | N/A | +0.02% |
| iShares iBonds Dec 2029 Term Tr ETF | |||
| FEBZ | 40.38 | N/A | N/A |
| TrueShares Structured OutcomeFebruaryETF | |||
A.I.dvisor indicates that over the last year, PLAB has been closely correlated with RMBS. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if PLAB jumps, then RMBS could also see price increases.
| Ticker / NAME | Correlation To PLAB | 1D Price Change % | ||
|---|---|---|---|---|
| PLAB | 100% | -1.81% | ||
| RMBS - PLAB | 71% Closely correlated | +0.43% | ||
| SYNA - PLAB | 71% Closely correlated | +3.03% | ||
| POWI - PLAB | 70% Closely correlated | -0.08% | ||
| NXPI - PLAB | 69% Closely correlated | -0.58% | ||
| DIOD - PLAB | 68% Closely correlated | -1.39% | ||
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A.I.dvisor indicates that over the last year, TER has been closely correlated with STM. These tickers have moved in lockstep 74% of the time. This A.I.-generated data suggests there is a high statistical probability that if TER jumps, then STM could also see price increases.
| Ticker / NAME | Correlation To TER | 1D Price Change % | ||
|---|---|---|---|---|
| TER | 100% | -4.33% | ||
| STM - TER | 74% Closely correlated | +3.71% | ||
| LRCX - TER | 72% Closely correlated | -4.46% | ||
| TXN - TER | 72% Closely correlated | -0.06% | ||
| RMBS - TER | 72% Closely correlated | +0.43% | ||
| NXPI - TER | 71% Closely correlated | -0.58% | ||
More | ||||