KLIC (KLIC)
Quantitative Summary
DeterministicStrong operational fundamentals (Piotroski 7/9).
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of KLIC reveal a stark divergence between operational profitability and balance sheet efficiency. While the gross margin remains robust at 42.5%, indicating strong pricing power or cost advantages on sales, this is entirely offset by a net margin of 0.0% that has dragged total return equity (ROE) to zero via DuPont decomposition; specifically, the inability to convert revenue into bottom-line earnings negates any benefits from an asset turnover of 0.59x and leverage multiplier of 1.34x. This erosion in net income coincides with a significant contraction in top-line performance, as year-over-year revenue declined by 7.4%, suggesting that the company is struggling to maintain its market position despite healthy gross spreads. Qualitative metrics present a mixed signal: the high Piotroski F-Score of 7/9 suggests strong financial health and operational stability relative to peers, yet this stands in tension with the severe deterioration in profitability and sales growth.
Valuation analysis indicates that current pricing may not fully reflect these deteriorating fundamentals if compared against historical norms or sector averages, as the zero net margin eliminates traditional earnings-based valuation anchors like P/E multiples. Instead, intrinsic value models such as DCF suggest a fair value of $42, which implies an expectation of future growth and recovery in profitability that has yet to materialize given the recent revenue contraction. The market appears to be pricing in significant uncertainty regarding whether the company can reverse its negative sales trajectory while restoring net income generation from current gross margins. Without evidence of margin expansion or top-line stabilization, the gap between implied fair value and realized earnings potential remains wide, highlighting a reliance on future assumptions that are currently unsupported by recent operational data.
Risk assessment is further complicated by divergent signals regarding corporate governance and ownership structure. The Beneish M-Score of -3.13 strongly suggests low likelihood of financial manipulation and high integrity in reported figures, which supports the reliability of the observed revenue decline rather than accounting irregularities. However, this fundamental stability contrasts sharply with insider activity over the last 90 days, where net selling totaling $6,780,281 occurred. This substantial outflow by insiders introduces a significant risk premium, as management's actions may signal concerns about future prospects that are not yet captured in valuation models or reflected in the high Piotroski score. Investors must weigh the strong qualitative financial scores against both the tangible revenue contraction and the negative sentiment indicated by insider dispositions to form a complete view of the risk-reward profile.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 8% | 10% | 12% |
|---|---|---|---|
| 2% | $51 | $38 | $30 |
| 3% | $59 | $42 | $32 |
| 4% | $72 | $48 | $36 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $42 (+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
Insider Activity (Last 90 Days)
Open-market buys vs sells by company insiders. Source: yfinance.
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 SLYV or SPSM, the fund manager is mechanically forced to buy or sell KLIC shares regardless of KLIC's individual fundamentals. We estimate $206M of passive capital is structurally linked to KLIC through 7 tracked ETFs. Passive flows have a limited but growing influence on KLIC's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 7 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in KLIC to visualize passive redemption contagion across ETFs and collateral stocks.
If KLIC (KLIC) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies NVIDIA Corp. (NVDA) as the most exposed collateral stock, sharing 1 ETFs with KLIC. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 7 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
KLIC Ownership Dynamics
ETFs with Highest KLIC Exposure
Float lock-up computed from 7 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
KLIC Capital Efficiency
How efficiently does KLIC convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
KLIC converts 250% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag.
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 | 482 | $104.27 | $50,258.14 |
| 2026-05-13 | 20,973 | $98.00 | $2.1M |
| 2026-05-08 | 95 | $98.15 | $9,324.25 |
| 2026-04-29 | 4 | $82.98 | $331.92 |
| 2026-04-21 | 9 | $83.42 | $750.78 |
| 2026-04-20 | 1,458 | $81.88 | $119,381.04 |
| 2026-04-16 | 6 | $79.84 | $479.04 |
| 2026-04-15 | 280 | $79.90 | $22,372 |
| 2026-04-10 | 156 | $76.80 | $11,980.8 |
| 2026-04-08 | 113 | $67.18 | $7,591.34 |
| 2026-03-31 | 82 | $61.79 | $5,066.78 |
| 2026-03-26 | 1 | $68.80 | $68.8 |
| 2026-03-24 | 2,857 | $65.30 | $186,562.1 |
| 2026-03-23 | 61 | $63.89 | $3,897.29 |
| 2026-03-20 | 2 | $66.76 | $133.52 |
| 2026-03-18 | 3 | $66.36 | $199.08 |
| 2026-03-17 | 5 | $66.15 | $330.75 |
| 2026-03-13 | 2 | $63.39 | $126.78 |
| 2026-03-12 | 3 | $65.58 | $196.74 |
| 2026-03-09 | 533 | $61.47 | $32,763.51 |
| 2026-02-23 | 252 | $70.85 | $17,854.2 |
| 2026-02-02 | 74 | $57.33 | $4,242.42 |
| 2026-01-05 | 347 | $48.35 | $16,777.45 |
| 2026-01-02 | 368 | $45.56 | $16,766.08 |
| 2025-12-31 | 367 | $46.38 | $17,021.46 |
| 2025-12-01 | 40 | $45.11 | $1,804.4 |
| 2025-11-24 | 1,302 | $40.88 | $53,225.76 |
| 2025-10-20 | 53 | $38.86 | $2,059.58 |
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 KLIC 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.