UMC (UMC)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 5/9.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe capital allocation efficiency appears modest, with a return on invested capital of 8.2% that fails to generate a clear spread over the cost of equity in this cyclical environment. The DuPont decomposition reveals an ROE of 11.0% driven primarily by robust net margins at 17.6%, while asset turnover remains constrained at 0.41x and leverage sits low at 1.52x, indicating earnings power relies on pricing strength rather than operational velocity or financial engineering. Quality metrics present a mixed signal; the Piotroski F-Score of 5/9 suggests moderate fundamental stability with some weakening trends, whereas the Beneish M-Score of -2.91 points to low manipulation risk and high confidence in reported earnings integrity despite sluggish revenue growth of just 2.3% year-over-year.
Valuation metrics suggest a premium pricing relative to historical norms given the current P/E multiple of 22.4x, which must be weighed against the modest top-line expansion trajectory. The DCF model implies an intrinsic fair value of $143, providing a specific anchor for potential re-rating if growth assumptions accelerate or margins expand further. This valuation gap requires careful calibration regarding implied future cash flows versus the current stagnation in revenue velocity; the market appears to be pricing in significant upside from the present 2.3% growth rate, assuming that margin resilience at 17.6% can sustain elevated multiples despite limited asset turnover efficiency.
No specific risk factor deltas, insider activity data, or Fama-French alpha figures were provided to refine this assessment beyond the fundamental and valuation synthesis. The divergence between a low manipulation score and a moderate Piotroski rating alongside flat revenue growth creates an environment where earnings quality is high but momentum remains subdued, leaving the investment case dependent on whether margin expansion can offset the lack of top-line acceleration in subsequent quarters.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 8% | 10% | 12% |
|---|---|---|---|
| 2% | $174 | $129 | $102 |
| 3% | $203 | $143 | $110 |
| 4% | $247 | $162 | $121 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $143 (+0.0%). Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
✅ Conservative payout — room for dividend increases.
DuPont Analysis — ROE Decomposition
Breaking down Return on Equity to see how the company generates its ROE — efficiency, margins, or leverage.
Balance Sheet Health
Earnings Surprise History
EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.
Underwater (Drawdown from Peak)
How far below the all-time high the price has been over time. Deeper = more pain for holders.
Rolling 60-Day Beta vs S&P 500 (VOO)
How the stock's sensitivity to market moves changes over time. β > 1 = more volatile than the market.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like SPEM or CWI, the fund manager is mechanically forced to buy or sell UMC shares regardless of UMC's individual fundamentals. We estimate $152M of passive capital is structurally linked to UMC through 3 tracked ETFs. Passive flows have a limited but growing influence on UMC's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 3 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in UMC to visualize passive redemption contagion across ETFs and collateral stocks.
If UMC (UMC) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Taiwan Semiconductor Manufacturing Co. Ltd. (2330) as the most exposed collateral stock, sharing 1 ETFs with UMC. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 3 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
UMC Ownership Dynamics
ETFs with Highest UMC Exposure
Float lock-up computed from 3 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
UMC Capital Efficiency
How efficiently does UMC convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
UMC converts 44% of its EBITDA into free cash flow, a healthy conversion rate indicating efficient capital management — the business generates substantial cash after reinvestment. The 56% reinvestment rate signals aggressive capacity expansion.
Capital efficiency = Free Cash Flow ÷ EBITDA. Reinvestment = (EBITDA − FCF) ÷ EBITDA. Metrics from latest annual filings. Not investment advice.
Fails-to-Deliver (FTD) History
SEC-reported settlement failures. Elevated FTDs can indicate high short-selling pressure, operational settlement issues, or naked shorting activity.
| Date | Failed Shares | Close Price | Notional Value |
|---|---|---|---|
| 2026-05-14 | 2,216 | $15.92 | $35,278.72 |
| 2026-05-13 | 4,917 | $16.06 | $78,967.02 |
| 2026-05-11 | 112 | $15.42 | $1,727.04 |
| 2026-05-08 | 1,504,222 | $15.16 | $22.8M |
| 2026-05-07 | 99,919 | $15.23 | $1.5M |
| 2026-05-06 | 100,300 | $14.01 | $1.4M |
| 2026-05-04 | 1,322 | $13.05 | $17,252.1 |
| 2026-05-01 | 253,473 | $13.06 | $3.3M |
| 2026-04-24 | 235 | $12.00 | $2,820 |
| 2026-04-23 | 323 | $12.71 | $4,105.33 |
| 2026-04-22 | 3,162 | $12.33 | $38,987.46 |
| 2026-04-21 | 3,424 | $12.64 | $43,279.36 |
| 2026-04-20 | 154,942 | $11.66 | $1.8M |
| 2026-04-17 | 1,118,942 | $10.62 | $11.9M |
| 2026-04-16 | 3,679 | $9.95 | $36,606.05 |
| 2026-04-15 | 265,288 | $9.59 | $2.5M |
| 2026-04-14 | 1,238 | $9.70 | $12,008.6 |
| 2026-04-13 | 318,782 | $9.74 | $3.1M |
| 2026-04-09 | 758 | $9.47 | $7,178.26 |
| 2026-04-08 | 1,061 | $9.31 | $9,877.91 |
| 2026-04-07 | 106,701 | $8.69 | $927,231.69 |
| 2026-04-06 | 47,207 | $8.67 | $409,284.69 |
| 2026-04-02 | 29,048 | $8.97 | $260,560.56 |
| 2026-03-30 | 226 | $8.87 | $2,004.62 |
| 2026-03-27 | 10,483 | $9.02 | $94,556.66 |
| 2026-03-26 | 92,583 | $9.31 | $861,947.73 |
| 2026-03-25 | 31 | $9.05 | $280.55 |
| 2026-03-23 | 46,641 | $9.12 | $425,365.92 |
| 2026-03-20 | 103 | $9.26 | $953.78 |
| 2026-03-19 | 153,261 | $9.30 | $1.4M |
Source: SEC Regulation SHO FTD data. Data is reported with a ~30 day delay. High FTD quantities relative to average daily volume may indicate settlement stress.
Compare UMC to Peers
Quant metrics computed deterministically from financial statements and price data. Updated: N/A.
SecuritiesDB provides programmatic data aggregation for informational purposes only. None of the metrics, summaries, or algorithmic flags constitute a recommendation to buy or sell any security.