The semiconductor industry continues to be one of the most closely watched sectors in global equity markets, yet not all chip-related stocks move in lockstep. This stock comparison examines two distinct players — STM, a Franco-Italian integrated device manufacturer with deep roots in automotive and industrial semiconductors, and TER, a U.S.-based leader in automatic test equipment used throughout the semiconductor supply chain. For investors seeking to understand how different semiconductor business models are performing in the current market environment, this head-to-head analysis offers a data-driven perspective on relative performance, market positioning, and sentiment trends shaping both names.
STMicroelectronics N.V. (STM) is one of Europe's largest semiconductor companies, designing and manufacturing a broad portfolio of chips spanning microcontrollers, power management, sensors, and analog components. The company serves a diverse set of end markets, with automotive, industrial, personal electronics, and communications equipment making up the bulk of its revenue mix.
In recent weeks, STM shares have faced mixed sentiment reflecting broader concerns about inventory digestion in certain industrial and automotive sub-segments. The company's significant exposure to European automotive manufacturing — a sector navigating a choppy transition toward electrification — has been a focal point for analysts assessing near-term demand. Meanwhile, STM's strategic positioning in silicon carbide (SiC) technology for electric vehicle power systems remains a long-term growth narrative, though short-term order patterns have introduced some uncertainty into the stock's trajectory. Recent market activity has shown the stock trading within a volatile range, with relative performance lagging some pure-play AI beneficiaries in the semiconductor space.
Teradyne, Inc. (TER) occupies a critical position in the semiconductor value chain as a leading provider of automated test equipment (ATE). Its systems test semiconductors, electronic systems, and wireless devices during the manufacturing process — a function that becomes increasingly vital as chip complexity rises. Teradyne also operates a collaborative robotics division through its Universal Robots subsidiary.
Over recent weeks, TER's stock has reflected investor optimism tied to the expanding need for advanced chip testing, particularly as AI-related semiconductor designs grow more sophisticated. The company's system-on-chip (SoC) test business has drawn attention from market participants evaluating beneficiaries of the artificial intelligence infrastructure buildout. However, the cyclical nature of capital equipment spending remains a persistent risk factor. Teradyne's revenue can be lumpy, tied to semiconductor manufacturers' capacity expansion decisions. Recent trading patterns suggest the stock has garnered positive momentum, supported by expectations that increasing chip complexity and volume will sustain demand for its testing solutions across multiple end markets.
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When comparing STM and TER side by side, several structural differences emerge. STM operates as an integrated device manufacturer with its own fabrication facilities, carrying higher capital expenditure requirements but allowing greater control over production and margins. TER, by contrast, follows an asset-light model, designing and assembling testing equipment without the enormous fab investments that STM must maintain. This translates into different margin profiles and capital return dynamics.
On growth drivers, STM benefits from secular trends in vehicle electrification, industrial automation, and edge computing, yet its broad exposure means it is sensitive to macroeconomic slowdowns across multiple regions. TER's growth is more tightly linked to semiconductor R&D (research and development) spending and manufacturing capacity expansion — areas buoyed by AI investment but vulnerable to cyclical capex pullbacks.
Market sentiment has diverged notably. TER has captured more of the AI enthusiasm premium, given that advanced AI chips require increasingly sophisticated testing solutions. STM, meanwhile, has contended with demand normalization in certain segments and geopolitical uncertainties affecting its European manufacturing base. Risk-factor analysis shows STM carrying higher geographic concentration in Europe, while TER faces greater customer concentration risk with a handful of large semiconductor manufacturers representing a significant share of revenue. For traders evaluating relative performance, these contrasts offer distinct risk-reward profiles depending on one's view of near-term AI spending trajectories versus longer-term industrial and automotive semiconductor demand.
Based on observable trend patterns and relative positioning assessed through Tickeron's AI-driven analytical framework, TER currently presents a more favorable configuration. The AI analysis favors Teradyne primarily due to stronger trend consistency across multiple timeframes, supported by a clearer near-term catalyst pathway tied to AI-driven testing demand. While STMicroelectronics maintains solid fundamentals and compelling long-term exposure to automotive semiconductor growth, its recent price action has exhibited greater choppiness and less decisive directional conviction. The AI's probabilistic assessment suggests TER's momentum profile, combined with the structural tailwind of rising chip complexity driving testing requirements, offers a comparatively stronger alignment with current market conditions. This assessment reflects quantitative signals rather than qualitative judgment and should be viewed as one input among many in a comprehensive decision-making process.
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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).
STM’s FA Score shows that 1 FA rating(s) are green whileTER’s FA Score has 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.
STM’s TA Score shows that 3 TA indicator(s) are bullish while TER’s TA Score has 4 bullish TA indicator(s).
STM (@Semiconductors) experienced а -9.77% price change this week, while TER (@Electronic Production Equipment) price change was -2.15% for the same time period.
The average weekly price growth across all stocks in the @Semiconductors industry was -2.72%. For the same industry, the average monthly price growth was -16.38%, and the average quarterly price growth was +44.54%.
The average weekly price growth across all stocks in the @Electronic Production Equipment industry was -0.22%. For the same industry, the average monthly price growth was -18.33%, and the average quarterly price growth was +56.89%.
STM is expected to report earnings on Jul 23, 2026.
TER is expected to report earnings on Jul 28, 2026.
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.
@Electronic Production Equipment (-0.22% weekly)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.
| STM | TER | STM / TER | |
| Capitalization | 54.7B | 52.2B | 105% |
| EBITDA | 2.32B | 1.14B | 203% |
| Gain YTD | 139.113 | 72.570 | 192% |
| P/E Ratio | 386.13 | 61.92 | 624% |
| Revenue | 12.4B | 3.79B | 327% |
| Total Cash | 102M | 246M | 41% |
| Total Debt | 2.78B | 82.4M | 3,377% |
STM | TER | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 62 | 81 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 90 Overvalued | 76 Overvalued | |
PROFIT vs RISK RATING 1..100 | 57 | 38 | |
SMR RATING 1..100 | 91 | 34 | |
PRICE GROWTH RATING 1..100 | 36 | 38 | |
P/E GROWTH RATING 1..100 | 1 | 7 | |
SEASONALITY SCORE 1..100 | 75 | 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.
TER's Valuation (76) in the Electronic Production Equipment industry is in the same range as STM (90) in the Semiconductors industry. This means that TER’s stock grew similarly to STM’s over the last 12 months.
TER's Profit vs Risk Rating (38) in the Electronic Production Equipment industry is in the same range as STM (57) in the Semiconductors industry. This means that TER’s stock grew similarly to STM’s over the last 12 months.
TER's SMR Rating (34) in the Electronic Production Equipment industry is somewhat better than the same rating for STM (91) in the Semiconductors industry. This means that TER’s stock grew somewhat faster than STM’s over the last 12 months.
STM's Price Growth Rating (36) in the Semiconductors industry is in the same range as TER (38) in the Electronic Production Equipment industry. This means that STM’s stock grew similarly to TER’s over the last 12 months.
STM's P/E Growth Rating (1) in the Semiconductors industry is in the same range as TER (7) in the Electronic Production Equipment industry. This means that STM’s stock grew similarly to TER’s over the last 12 months.
| STM | TER | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 2 days ago 67% | 2 days ago 85% |
| Momentum ODDS (%) | 2 days ago 76% | 2 days ago 70% |
| MACD ODDS (%) | N/A | 2 days ago 71% |
| TrendWeek ODDS (%) | 2 days ago 70% | 2 days ago 68% |
| TrendMonth ODDS (%) | 2 days ago 71% | 2 days ago 69% |
| Advances ODDS (%) | 12 days ago 71% | 2 days ago 79% |
| Declines ODDS (%) | 2 days ago 71% | 6 days ago 66% |
| BollingerBands ODDS (%) | 2 days ago 80% | 2 days ago 87% |
| Aroon ODDS (%) | 2 days ago 61% | 2 days ago 83% |
A.I.dvisor indicates that over the last year, STM has been closely correlated with ON. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if STM jumps, then ON could also see price increases.
| Ticker / NAME | Correlation To STM | 1D Price Change % | ||
|---|---|---|---|---|
| STM | 100% | -0.45% | ||
| ON - STM | 72% Closely correlated | -0.77% | ||
| ENTG - STM | 69% Closely correlated | -3.57% | ||
| MCHPP - STM | 68% Closely correlated | -0.79% | ||
| MCHP - STM | 67% Closely correlated | -0.56% | ||
| KLIC - STM | 67% Closely correlated | +2.92% | ||
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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% | +3.54% | ||
| STM - TER | 74% Closely correlated | -0.45% | ||
| TXN - TER | 72% Closely correlated | +0.02% | ||
| LRCX - TER | 72% Closely correlated | -2.09% | ||
| RMBS - TER | 72% Closely correlated | -0.58% | ||
| NXPI - TER | 71% Closely correlated | +0.24% | ||
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