Super Micro Price To Sales vs. Net Income
| SMCI Stock | USD 21.58 1.05 5.11% |
Super Micro Price To Sales Ratio | 0.7 |
| Current Value | Last Year | Change From Last Year | 10 Year Trend | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Gross Profit Margin | 0.18 | 0.13 |
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| Net Profit Margin | 0.031 | 0.043 |
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| Operating Profit Margin | 0.0434 | 0.0513 |
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| Pretax Profit Margin | 0.0422 | 0.0494 |
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| Return On Assets | 0.0594 | 0.0673 |
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| Return On Equity | 0.17 | 0.19 |
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This module outlines profitability structure for Super Micro Computer using margin and return relationships. All profitability ratios are based on historical financial data.
Revenue Segmentation Overview
Super Micro's top line is composed of 2 product-level revenue streams. At 140.4 Million, Server And Storage Systems is Super Micro's largest segment (57.4%), with Subsystems and accessories as the second-largest at 104.1 Million. While one segment leads, Super Micro's remaining product lines provide a degree of revenue balance.
World Market Map.
Macro event markers
Super Micro Revenue by Earnings Segment View
Super Micro's product-level revenue split is shown below, highlighting each segment's share of total revenue. Subsystems and accessories rounds out the mix at 42.6%, representing Super Micro's smallest reported product line.
Earnings estimates provide context for forward-looking performance discussion. Earnings context for Super Micro is presented alongside other analytical inputs.
Quarterly Earnings Growth 0.192 | Earnings Share 1.37 | Revenue Per Share | Quarterly Revenue Growth 1.234 | Return On Assets |
Super Micro Computer's market price can diverge from book value, the accounting figure shown on Super's balance sheet. This view summarizes available data without implying outcomes.
It is useful to distinguish Super Micro's value from its trading price, which are computed with different methods. Super Micro market price reflects the current exchange level formed by active bids and offers.
Super Micro Computer Net Income vs. Price To Sales Fundamental Analysis
Comparative market metrics assess Super Micro's pricing relative to peers. Super Micro Computer is rated below average for price to sales among direct rivals. It places fourth for net income among direct rivals recording roughly 2,387,014,110 in Net Income for every unit of Price To Sales. Financial indicators imply that Price To Sales Ratio is moving in a growing direction. A year ago, Super Micro reported Price To Sales Ratio at 1.19. Earnings-based multiples benchmark Super Micro's market valuation.Super Net Income vs. Price To Sales
Price to Sales ratio is typically used for valuing equity relative to its own past performance as well as to performance of other companies or market indexes. In most cases, the lower the ratio, the better it is for investors. However, it is advisable for investors to exercise caution when looking at price-to-sales ratios across different industries.
Super Micro |
| = | 0.44 X |
The most critical factor to remember is that the price of equity takes a firm's debt into account, whereas the sales indicators do not consider financial leverage. Generally speaking, Price to Sales ratio shows how much the market values every dollar of the company's sales.
Net income is the profit of a company for the reporting period, which is derived after taking revenues and gains and subtracting all expenses and losses. Net income is one of the most-watched numbers by money managers as well as individual investors.
Super Micro |
| = | 1.05 B |
Because income is reported on the Income Statement of a company and is measured in dollars some investors prefer to use Profit Margin, which measures income as a percentage of sales.
Super Net Income Comparison
Super Micro is currently under evaluation for net income among direct rivals.
Super Micro Profitability Projections
Investors use profit metrics for Super Micro to judge whether the company can sustain or grow its returns. Profit ratios for Super Micro should be tracked across many periods to tell trends from noise. Super Micro currently maintains a profit margin of 3.1%. A rising operating margin signals that Super Micro's core business is getting more efficient. The operating margin stands at 3.7% while return on equity is 13.2%.
| Last Reported | End Of Year Estimate | ||
| Accumulated Other Comprehensive Income | 634.5 K | 666.2 K | |
| Operating Income | 1.4 B | 1.5 B | |
| Income Before Tax | 1.4 B | 1.5 B | |
| Total Other Income Expense Net | -42.6 M | -40.4 M | |
| Net Income | 1.2 B | 1.3 B | |
| Income Tax Expense | 180.4 M | 189.4 M | |
| Net Income Applicable To Common Shares | 736 M | 772.8 M | |
| Net Income From Continuing Ops | 1.2 B | 1.3 B | |
| Non Operating Income Net Other | 14.9 K | 14.2 K | |
| Interest Income | 7.7 M | 8.1 M | |
| Net Interest Income | -53.6 M | -50.9 M | |
| Change To Netincome | -34.4 M | -36.1 M | |
| Net Income Per Share | 1.59 | 1.67 | |
| Income Quality | 1.82 | 1.91 | |
| Net Income Per E B T | 0.78 | 0.60 |
Super Profitability Driver Comparison
The key profitability drivers of Super Micro determine how much profit the company generates over time. External shocks can disrupt Super Micro's financial results at any time, adding an inherent layer of unpredictability. Understanding these drivers helps investors separate temporary disruptions from structural changes in Super Micro's profits. Track changes in Super Micro's profitability drivers to maintain a current view of its investment attractiveness.
Earnings Estimation Breakdown
The forward EPS consensus for Super Micro stands at 0.5643, compiled from analyst models tracking Super Micro's revenue, margin, and guidance trends. The estimate range spans from 0.525 to 0.625, capturing uncertainty around the projection. This figure is derived from a 12-month earnings base and strips out one-time items for comparability.Last Reported EPS
0.53 Lowest | Expected EPS | 0.62 Highest |
Earnings Projection Consensus
The spread between Super Micro's estimated fair value and its market price encodes a directional signal: narrow spreads suggest efficient pricing; wide spreads suggest a potential catalyst or mispricing. Analysts use this gap to identify entry and exit points, though the estimate itself carries model risk. Factor in liquidity, sector context, and macro environment before acting on this comparison.
| Number of Analysts | Historical Accuracy | Last Reported EPS | Estimated EPS for 30th of June 2026 | Current EPS (TTM) | |
| 17 | 79.04% | 0.0 | 0.5643 | 1.37 |
Earnings History
Analyst consensus earnings for Super represent the collective market expectation for upcoming reporting periods. When actual EPS exceeds this benchmark, markets typically respond positively; misses often lead to rapid repricing. Comparing consensus to alternative valuation signals adds analytical depth beyond raw EPS numbers.Super Micro Quarterly Gross Profit | 798.57 Million |
Experienced investors tracking Super Micro's watch for mean reversion setups where price has deviated from its long-run average. Sentiment extremes, news events, or liquidity shocks are common catalysts for these temporary dislocations in Super Micro. Prices periodically overshoot their intrinsic value in both directions, creating mean reversion opportunities in Super Micro. The mean reversion signal is most useful when combined with fundamental confirmation for Super Micro's.
Earnings per Share Projection vs Actual
The actual EPS reported by Super Micro reflects real earnings performance verified through its financial statements. The expected EPS consensus for Super Micro Computer is the result of analyst modeling and represents the market's pre-event benchmark. Weighted share count is used to normalize EPS across periods where the number of outstanding shares changes.Estimated Months Earnings per Share
Income investors tracking Super Micro rely on EPS as a measure of earnings coverage for the dividend. A consistent EPS growth trajectory suggests management has both the intent and capacity to increase shareholder distributions over time. For a rounded view, compare EPS against free cash flow yield and the dividend payout ratios of sector peers.Quarterly Analyst Estimates and Surprise Metrics
For investors monitoring Super Micro, earnings surprise data provides a historical record of how the market has repriced the stock after each quarterly report. Surprise direction and magnitude together determine whether a post-earnings move is likely to be sustained. Analyst EPS estimates evolve through the quarter based on guidance revisions and new sector information.
| Reported | Fiscal Date | Estimated EPS | Reported EPS | Surprise | |||
|---|---|---|---|---|---|---|---|
null | null | null | null | null | 0 | ||
2026-02-03 | 2025-12-31 | 0.4892 | 0.69 | 0.2008 | 41 | ||
2025-11-04 | 2025-09-30 | 0.46 | 0.35 | -0.11 | 23 | ||
2025-08-28 | 2025-06-30 | 0.44 | 0.32 | -0.12 | 27 | ||
2025-04-28 | 2025-03-31 | 0.3503 | 0.31 | -0.0403 | 11 | ||
2025-02-11 | 2024-12-31 | 0.5811 | 0.6031 | 0.022 | 3 | ||
2024-11-05 | 2024-09-30 | 0.742 | 0.75 | 0.008 | 1 | ||
2024-08-06 | 2024-06-30 | 8.07 | 6.25 | -1.82 | 22 | ||
2024-04-30 | 2024-03-31 | 5.78 | 6.65 | 0.87 | 15 | ||
2024-01-29 | 2023-12-31 | 4.93 | 5.59 | 0.66 | 13 | ||
2023-11-01 | 2023-09-30 | 3.06 | 3.43 | 0.37 | 12 | ||
2023-08-08 | 2023-06-30 | 2.96 | 3.51 | 0.55 | 18 | ||
2023-05-02 | 2023-03-31 | 1.71 | 1.63 | -0.08 | 4 | ||
2023-01-31 | 2022-12-31 | 3.03 | 3.26 | 0.23 | 7 | ||
2022-11-01 | 2022-09-30 | 2.54 | 3.42 | 0.88 | 34 | ||
2022-08-09 | 2022-06-30 | 1.96 | 2.62 | 0.66 | 33 | ||
2022-05-03 | 2022-03-31 | 1.12 | 1.55 | 0.43 | 38 | ||
2022-02-01 | 2021-12-31 | 0.78 | 0.88 | 0.1 | 12 | ||
2021-11-02 | 2021-09-30 | 0.38 | 0.58 | 0.2 | 52 | ||
2021-08-10 | 2021-06-30 | 0.78 | 0.81 | 0.03 | 3 | ||
2021-05-04 | 2021-03-31 | 0.47 | 0.5 | 0.03 | 6 | ||
2021-02-02 | 2020-12-31 | 0.44 | 0.63 | 0.19 | 43 | ||
2020-11-03 | 2020-09-30 | 0.16 | 0.55 | 0.39 | 243 | ||
2020-08-11 | 2020-06-30 | 0.54 | 0.68 | 0.14 | 25 | ||
2020-05-07 | 2020-03-31 | 0.08 | 0.84 | 0.76 | 950 | ||
2020-02-06 | 2019-12-31 | 0.68 | 0.57 | -0.11 | 16 | ||
2019-12-20 | 2019-09-30 | 0.63 | 0.59 | -0.04 | 6 | ||
2019-08-15 | 2019-06-30 | 0.059 | 0.059 | 0.0 | 0 | ||
2019-05-17 | 2019-03-31 | 0.05 | 0.05 | 0.0 | 0 | ||
2019-02-15 | 2018-12-31 | 0.06 | 0.06 | 0.0 | 0 | ||
2018-11-16 | 2018-09-30 | 0.068 | 0.068 | 0.0 | 0 | ||
2018-08-21 | 2018-06-30 | 0.55 | 0.77 | 0.22 | 40 | ||
2018-05-03 | 2018-03-31 | 0.36 | 0.5 | 0.14 | 38 | ||
2018-01-25 | 2017-12-31 | 0.46 | 0.51 | 0.05 | 10 | ||
2017-10-26 | 2017-09-30 | 0.19 | 0.28 | 0.09 | 47 | ||
2017-08-03 | 2017-06-30 | 0.36 | 0.39 | 0.03 | 8 | ||
2017-04-27 | 2017-03-31 | 0.38 | 0.38 | 0.0 | 0 | ||
2017-01-26 | 2016-12-31 | 0.46 | 0.48 | 0.02 | 4 | ||
2016-10-27 | 2016-09-30 | 0.19 | 0.32 | 0.13 | 68 | ||
2016-08-04 | 2016-06-30 | 0.21 | 0.2 | -0.01 | 4 | ||
2016-04-28 | 2016-03-31 | 0.34 | 0.36 | 0.02 | 5 | ||
2016-01-28 | 2015-12-31 | 0.66 | 0.73 | 0.07 | 10 | ||
2015-10-22 | 2015-09-30 | 0.46 | 0.45 | -0.01 | 2 | ||
2015-08-04 | 2015-06-30 | 0.56 | 0.57 | 0.01 | 1 | ||
2015-04-21 | 2015-03-31 | 0.49 | 0.47 | -0.02 | 4 | ||
2015-01-20 | 2014-12-31 | 0.47 | 0.65 | 0.18 | 38 | ||
2014-10-21 | 2014-09-30 | 0.38 | 0.46 | 0.08 | 21 | ||
2014-08-05 | 2014-06-30 | 0.39 | 0.4 | 0.01 | 2 | ||
2014-04-22 | 2014-03-31 | 0.27 | 0.37 | 0.1 | 37 | ||
2014-01-21 | 2013-12-31 | 0.26 | 0.35 | 0.09 | 34 | ||
2013-10-22 | 2013-09-30 | 0.22 | 0.22 | 0.0 | 0 | ||
2013-08-06 | 2013-06-30 | 0.21 | 0.26 | 0.05 | 23 | ||
2013-04-23 | 2013-03-31 | 0.2 | 0.23 | 0.03 | 15 | ||
2013-01-22 | 2012-12-31 | 0.14 | 0.18 | 0.04 | 28 | ||
2012-10-23 | 2012-09-30 | 0.11 | 0.07 | -0.04 | 36 | ||
2012-08-07 | 2012-06-30 | 0.19 | 0.18 | -0.01 | 5 | ||
2012-04-24 | 2012-03-31 | 0.22 | 0.19 | -0.03 | 13 | ||
2012-01-24 | 2011-12-31 | 0.25 | 0.25 | 0.0 | 0 | ||
2011-10-25 | 2011-09-30 | 0.24 | 0.24 | 0.0 | 0 | ||
2011-08-02 | 2011-06-30 | 0.29 | 0.29 | 0.0 | 0 | ||
2011-04-26 | 2011-03-31 | 0.28 | 0.28 | 0.0 | 0 | ||
2011-01-25 | 2010-12-31 | 0.26 | 0.31 | 0.05 | 19 | ||
2010-10-26 | 2010-09-30 | 0.22 | 0.22 | 0.0 | 0 | ||
2010-08-03 | 2010-06-30 | 0.22 | 0.21 | -0.01 | 4 | ||
2010-04-27 | 2010-03-31 | 0.21 | 0.21 | 0.0 | 0 | ||
2010-01-26 | 2009-12-31 | 0.17 | 0.22 | 0.05 | 29 | ||
2009-10-27 | 2009-09-30 | 0.09 | 0.15 | 0.06 | 66 | ||
2009-08-05 | 2009-06-30 | 0.06 | 0.06 | 0.0 | 0 | ||
2009-04-29 | 2009-03-31 | 0.08 | 0.03 | -0.05 | 62 | ||
2009-01-28 | 2008-12-31 | 0.14 | 0.14 | 0.0 | 0 | ||
2008-10-29 | 2008-09-30 | 0.15 | 0.18 | 0.03 | 20 | ||
2008-08-06 | 2008-06-30 | 0.15 | 0.18 | 0.03 | 20 | ||
2008-04-29 | 2008-03-31 | 0.14 | 0.13 | -0.01 | 7 | ||
2008-01-30 | 2007-12-31 | 0.18 | 0.2 | 0.02 | 11 | ||
2007-10-31 | 2007-09-30 | 0.15 | 0.15 | 0.0 | 0 | ||
2007-08-07 | 2007-06-30 | 0.12 | 0.14 | 0.02 | 16 |
Use Super Micro in pair-trading
A pair strategy built around Super Micro Computer is useful when investors want to reduce directional market exposure while still expressing a relative-value idea. A disciplined pair strategy still requires monitoring because correlation can weaken when market regimes change.
Super Micro Pair Trading
Super Micro Computer Pair Trading Analysis
Tax-loss harvesting on Super Micro requires identifying a similar asset for the 30-day wash-sale period. Assets with high correlation to Super Micro Computer can serve as substitutes while preserving market exposure. Institutional investors use correlation analysis to build Super Micro replacement strategies beyond sector matching. Tax-aware investors benefit from systematic correlation analysis when managing Super Micro positions.
Correlation analysis for Super Micro reveals which assets move together and which provide hedging benefits. Pairing Super Micro Computer with uncorrelated instruments can reduce portfolio volatility without reducing expected returns. Readings above 0.8 indicate strongly correlated pairs with minimal diversification benefit around Super Micro. Investors who monitor Super Micro correlations can identify regime changes before they impact portfolio risk.
Use Correlation analysis and pair trading evaluation for Super Micro to review hedging context.Use Investing Themes to Complement your Super Micro position
With 12.33 Billion market cap in the Computer Hardware industry, Super Micro Computer works well as a mid-cap core holding around which broader thematic baskets can be built. Anchoring a Computer Hardware theme around Super Micro Computer at 12.33 Billion can be tuned for upside participation or tighter downside control depending on Technology outlook.
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