At first glance, comparing LEA and SRI might seem like pairing a heavyweight with a welterweight. Both companies operate within the automotive original equipment manufacturer (OEM) supply chain, yet they occupy vastly different tiers of the industry in terms of scale, product breadth, and financial stability. This comparison is particularly relevant for investors who are evaluating the auto-parts sector and trying to determine whether to favor a well-capitalized, diversified incumbent or a smaller, technology-focused challenger. Understanding how these two businesses differ — and where their strengths and vulnerabilities lie — can help clarify what kind of exposure each stock brings to a portfolio.
Lear Corporation (LEA) is one of the world's largest automotive suppliers, operating through two primary segments: Seating and E-Systems. The Seating division designs and manufactures complete seat systems, frames, mechanisms, foam, trim covers, and thermal comfort solutions. The E-Systems segment provides electrical distribution systems, wire harnesses, terminals, connectors, junction boxes, and electronic control modules — including battery management systems for electric vehicles. Headquartered in Southfield, Michigan, Lear serves nearly every major global automaker.
In recent weeks, Lear's stock has traded near the upper end of its 52-week range, approaching $150 per share and supported by a market capitalization of roughly $7.3 billion. Over the trailing twelve months, LEA has posted a total return significantly above 40%, reflecting improved investor sentiment around automotive suppliers with strong balance sheets and consistent cash generation. Full-year 2025 revenue was approximately $23.3 billion, essentially flat year-over-year, but adjusted EPS rose for the fifth consecutive year to $12.80. The company generated over $1 billion in operating cash flow and repurchased $325 million of its own shares, underscoring a disciplined capital allocation strategy. A quarterly dividend further reinforces Lear's commitment to returning capital to shareholders.
Key catalysts in recent months include the largest seating conquest award in Lear's history — a complete seat assembly program for a major American truck platform — as well as approximately $1.4 billion in E-Systems business awards, the highest annual total in over a decade. The company has also expanded its footprint in China through joint ventures supporting BYD and Seres, and deepened its artificial intelligence capabilities through a partnership with Palantir. These developments suggest Lear is leveraging its scale to capture both traditional and electrified-vehicle content growth.
Stoneridge, Inc. (SRI) is a specialized designer and manufacturer of engineered electrical and electronic components, modules, and systems for the automotive, commercial vehicle, off-highway, motorcycle, and agricultural markets. The company operates through three segments: Control Devices (sensors, switches, actuators, connectors), Electronics (driver information systems, camera-based vision systems, connectivity products), and Stoneridge Brazil (vehicle tracking, security, infotainment, and telematics). Its most prominent growth product is MirrorEye®, a camera monitor system that replaces traditional side mirrors on commercial trucks, offering aerodynamic and safety benefits.
Headquartered in Novi, Michigan, Stoneridge operates at a dramatically smaller scale than Lear. Its market capitalization has hovered around $200 million in recent weeks, with the stock trading in the mid-to-upper single digits. After a brutal 2024 that saw its share price decline by approximately 68%, SRI has shown signs of stabilization and recovery in 2026. Full-year 2025 revenue was approximately $861 million, down about 5% year-over-year, while the company posted a net loss of roughly $103 million for the year. Gross margins have held in the 20-21% range, but operating losses and negative earnings have persisted, driven by production volume headwinds in North American commercial vehicle markets and non-operating foreign exchange (FX) expenses.
On the positive side, MirrorEye® continues to gain commercial traction. Sales of the vision system grew 78% year-to-date through the third quarter of 2025 relative to the prior year, and the company announced a new OEM program award with an additional truck manufacturer, expected to launch in 2028 with an estimated $55 million in lifetime revenue. Stoneridge also secured the largest program award in company history — a global MirrorEye® extension valued at roughly $535 million in estimated lifetime revenue. Strategic alternatives for the Control Devices segment remain under review, as management evaluates a potential sale to sharpen the company's focus on higher-growth electronics and vision systems.
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The most immediate distinction between LEA and SRI is scale. Lear generates approximately 27 times more annual revenue than Stoneridge and commands a market capitalization roughly 35 times larger. This scale translates into tangible competitive advantages: Lear enjoys stronger bargaining power with suppliers, greater ability to absorb R&D (research and development) costs across large production volumes, and the financial flexibility to return capital to shareholders through both dividends and share repurchases. Stoneridge, by contrast, operates with thinner financial buffers and depends more heavily on the commercial success of a narrower product lineup.
Profitability tells a similarly divergent story. Lear posted a net margin of approximately 2.3% in 2025 and generated positive free cash flow of over $500 million. Stoneridge's net margin was deeply negative at roughly -15%, and its return on equity languished in negative territory. While SRI bulls point to MirrorEye® as a potentially transformative growth driver, the company has yet to translate product-level momentum into consistent bottom-line profitability. Lear, meanwhile, has demonstrated an ability to sustain earnings growth even amid flat to modestly declining revenue — a hallmark of operational discipline.
Risk profiles also differ meaningfully. Stoneridge carries a beta of approximately 1.85, indicating significantly higher volatility relative to the broader market, while Lear's beta of roughly 1.26 suggests more moderate sensitivity. SRI's higher debt-to-equity burden relative to its shrinking equity base adds financial risk, whereas Lear's $1 billion cash position and $3 billion in total liquidity provide a substantial cushion against cyclical downturns. Sector exposure is another point of contrast: Lear's diversification across seating and electronics — and across geographies from North America to Europe to China — reduces dependence on any single end market. Stoneridge's heavier tilt toward North American commercial vehicles makes it more vulnerable to cyclical weakness in that specific channel.
On valuation, Lear trades at approximately 13-14 times trailing earnings, a level consistent with mature auto suppliers, while Stoneridge lacks a meaningful P/E (price-to-earnings) ratio due to negative earnings. Analysts covering Stoneridge have assigned price targets implying significant potential upside — but those targets rest heavily on execution of a turnaround that remains unproven. Lear offers a more tangible value proposition: a dividend yield above 2%, a proven buyback program, and a track record of adjusted EPS growth.
Based on observable technical and fundamental factors — including trend consistency, earnings stability, cash flow generation, and relative market positioning — Tickeron's AI-driven analytical framework would likely favor Lear Corporation (LEA) over Stoneridge (SRI) in the current environment. Lear's combination of a strong valuation rating, consistent profitability, diversified revenue streams, and a confirmed uptrend provides the kind of multi-factor alignment that quantitative models typically reward. Stoneridge's elevated volatility, persistent operating losses, and dependence on future product-cycle execution introduce uncertainties that make trend-based AI strategies less likely to commit capital to the stock at this stage. That said, AI robots running higher-risk, momentum-driven, or event-based strategies could find SRI's MirrorEye® growth narrative and potential restructuring catalysts compelling under the right conditions. The probabilistic assessment, however, tilts toward LEA as the more stable and systematically investable candidate for most strategy types.
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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).
LEA’s FA Score shows that 1 FA rating(s) are green whileSRI’s FA Score has 0 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.
LEA’s TA Score shows that 4 TA indicator(s) are bullish while SRI’s TA Score has 6 bullish TA indicator(s).
LEA (@Auto Parts: OEM) experienced а -3.18% price change this week, while SRI (@Auto Parts: OEM) price change was -10.21% for the same time period.
The average weekly price growth across all stocks in the @Auto Parts: OEM industry was -0.76%. For the same industry, the average monthly price growth was -2.73%, and the average quarterly price growth was -0.65%.
LEA is expected to report earnings on Nov 03, 2026.
SRI is expected to report earnings on Nov 04, 2026.
OEM or Original Equipment Manufacturer of auto parts refers to the original producer of a vehicles components, and so OEM car parts are usually identical to the parts used in producing the vehicle in the first place. OEM parts tend to fit the specifications of a particular model, and their compatibility is often guaranteed by the automaker itself. OEM parts could be more expensive to buy (compared to other vendors’ products) when a consumer goes for replacement. However, increased competition from aftermarket parts/third-party vendors could, in some cases, keep EOM prices in check. The industry might progress further in adopting newer technologies like 3D printing to boost supply chain performance and quality. Aptiv PLC, Magna International Inc. and BorgWarner Inc. are major OEMs for autos.
| LEA | SRI | LEA / SRI | |
| Capitalization | 6.01B | 193M | 3,116% |
| EBITDA | 1.44B | -15.95M | -9,015% |
| Gain YTD | 6.694 | 22.798 | 29% |
| P/E Ratio | 11.35 | 159.86 | 7% |
| Revenue | 23.7B | 873M | 2,715% |
| Total Cash | 1B | 70.5M | 1,420% |
| Total Debt | 2.75B | 163M | 1,685% |
LEA | SRI | ||
|---|---|---|---|
OUTLOOK RATING 1..100 | 65 | 73 | |
VALUATION overvalued / fair valued / undervalued 1..100 | 9 Undervalued | 84 Overvalued | |
PROFIT vs RISK RATING 1..100 | 100 | 100 | |
SMR RATING 1..100 | 69 | 99 | |
PRICE GROWTH RATING 1..100 | 60 | 58 | |
P/E GROWTH RATING 1..100 | 70 | 88 | |
SEASONALITY SCORE 1..100 | 75 | 34 |
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.
LEA's Valuation (9) in the Auto Parts OEM industry is significantly better than the same rating for SRI (84). This means that LEA’s stock grew significantly faster than SRI’s over the last 12 months.
LEA's Profit vs Risk Rating (100) in the Auto Parts OEM industry is in the same range as SRI (100). This means that LEA’s stock grew similarly to SRI’s over the last 12 months.
LEA's SMR Rating (69) in the Auto Parts OEM industry is in the same range as SRI (99). This means that LEA’s stock grew similarly to SRI’s over the last 12 months.
SRI's Price Growth Rating (58) in the Auto Parts OEM industry is in the same range as LEA (60). This means that SRI’s stock grew similarly to LEA’s over the last 12 months.
LEA's P/E Growth Rating (70) in the Auto Parts OEM industry is in the same range as SRI (88). This means that LEA’s stock grew similarly to SRI’s over the last 12 months.
| LEA | SRI | |
|---|---|---|
| RSI ODDS (%) | 5 days ago 79% | N/A |
| Stochastic ODDS (%) | 5 days ago 72% | 5 days ago 79% |
| Momentum ODDS (%) | 5 days ago 75% | 5 days ago 80% |
| MACD ODDS (%) | 5 days ago 75% | 5 days ago 77% |
| TrendWeek ODDS (%) | 5 days ago 70% | 5 days ago 75% |
| TrendMonth ODDS (%) | 5 days ago 69% | 5 days ago 71% |
| Advances ODDS (%) | 15 days ago 65% | 8 days ago 71% |
| Declines ODDS (%) | 9 days ago 66% | 6 days ago 78% |
| BollingerBands ODDS (%) | 5 days ago 80% | N/A |
| Aroon ODDS (%) | 5 days ago 71% | 5 days ago 69% |
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A.I.dvisor indicates that over the last year, LEA has been closely correlated with ADNT. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if LEA jumps, then ADNT could also see price increases.
| Ticker / NAME | Correlation To LEA | 1D Price Change % | ||
|---|---|---|---|---|
| LEA | 100% | -1.60% | ||
| ADNT - LEA | 68% Closely correlated | -3.66% | ||
| MGA - LEA | 65% Loosely correlated | -0.67% | ||
| DCH - LEA | 56% Loosely correlated | +4.57% | ||
| BWA - LEA | 56% Loosely correlated | +1.26% | ||
| APTV - LEA | 54% Loosely correlated | +0.52% | ||
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A.I.dvisor indicates that over the last year, SRI has been loosely correlated with LEA. These tickers have moved in lockstep 39% of the time. This A.I.-generated data suggests there is some statistical probability that if SRI jumps, then LEA could also see price increases.
| Ticker / NAME | Correlation To SRI | 1D Price Change % | ||
|---|---|---|---|---|
| SRI | 100% | -4.69% | ||
| LEA - SRI | 39% Loosely correlated | -1.60% | ||
| MGA - SRI | 37% Loosely correlated | -0.67% | ||
| ADNT - SRI | 36% Loosely correlated | -3.66% | ||
| LKQ - SRI | 35% Loosely correlated | -1.17% | ||
| APTV - SRI | 35% Loosely correlated | +0.52% | ||
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