TECH (TECH)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 5/9, Altman Z 9.0.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of TECH reveal a stark divergence between high-gross-margin pricing power and inefficient capital deployment. While the gross margin sits at an impressive 64.8%, indicating strong top-line profitability potential, the return on invested capital (ROIC) is merely 3.5%, suggesting that assets are not generating returns above the cost of equity. This inefficiency is further illuminated by the DuPont decomposition: a net margin of 6.0% drives an ROE of only 3.8%, supported by low asset turnover of 0.48x and minimal leverage at 1.33x, pointing to operational sluggishness rather than financial engineering. Although the Piotroski F-Score of 5/9 indicates moderate financial health with no immediate distress signals, the Beneish M-Score of -3.01 flags a high probability of earnings manipulation or aggressive accounting practices that warrant skepticism regarding the quality of reported income.
Valuation metrics present a significant disconnect between current market pricing and intrinsic value estimates. The stock trades at a P/E ratio of 98.2x, which implies an expectation of sustained hyper-growth far exceeding the observed revenue growth rate of just 5.2% year-over-year. This premium valuation is not supported by discounted cash flow analysis, which calculates a fair value of $12, suggesting the market price vastly overstates future cash generation capabilities relative to current fundamentals. The gap between the current P/E and historical or sector averages (where data implies a severe outlier) indicates that investors are pricing in aggressive growth assumptions that have not yet materialized in earnings per share.
Risk factors further complicate the investment thesis, highlighted by negative insider flow of $116,791 over the last 90 days. This net selling activity aligns with the low ROIC and elevated valuation concerns, suggesting insiders may be de-risking positions ahead of potential value realization or anticipating a correction in multiple compression. Combined with the operational inefficiency evidenced by the DuPont metrics, the risk/reward profile appears skewed toward downside volatility if growth expectations fail to meet the exorbitant price-earnings multiple, while upside remains constrained unless capital efficiency improves dramatically and insider sentiment reverses.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 11.4% | 13.4% | 15.4% |
|---|---|---|---|
| 2% | $14 | $12 | $10 |
| 3% | $15 | $12 | $10 |
| 4% | $17 | $13 | $11 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=13.5%, terminal growth 3%. Fair value $12 (+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 VBK or RSP, the fund manager is mechanically forced to buy or sell TECH shares regardless of TECH's individual fundamentals. We estimate $962M of passive capital is structurally linked to TECH through 8 tracked ETFs. Passive flows have a limited but growing influence on TECH's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 8 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in TECH to visualize passive redemption contagion across ETFs and collateral stocks.
If TECH (TECH) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies ELI LILLY + CO (LLY) as the most exposed collateral stock, sharing 1 ETFs with TECH. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 20 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
TECH Ownership Dynamics
ETFs with Highest TECH Exposure
Float lock-up computed from 20 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
TECH Capital Efficiency
How efficiently does TECH convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
TECH converts 118% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag. However, the ROIC-WACC spread is negative (-9.9%), suggesting reinvested capital is destroying shareholder value.
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 |
|---|---|---|---|
| 2026-05-13 | 2 | $47.42 | $94.84 |
| 2026-05-12 | 173,102 | $47.42 | $8.2M |
| 2026-05-11 | 106,493 | $48.36 | $5.2M |
| 2026-05-08 | 12,877 | $50.91 | $655,568.07 |
| 2026-05-07 | 60,963 | $47.41 | $2.9M |
| 2026-05-06 | 5 | $56.68 | $283.4 |
| 2026-05-01 | 16 | $55.32 | $885.12 |
| 2026-04-29 | 6,330 | $53.51 | $338,718.3 |
| 2026-04-27 | 515 | $54.19 | $27,907.85 |
| 2026-04-15 | 3 | $58.66 | $175.98 |
| 2026-04-09 | 11 | $55.21 | $607.31 |
| 2026-04-08 | 45,868 | $53.83 | $2.5M |
| 2026-04-07 | 1,839 | $53.80 | $98,938.2 |
| 2026-04-06 | 50,152 | $53.13 | $2.7M |
| 2026-04-01 | 129 | $52.26 | $6,741.54 |
| 2026-03-31 | 98,051 | $52.04 | $5.1M |
| 2026-03-30 | 619 | $50.95 | $31,538.05 |
| 2026-03-27 | 3,437 | $52.70 | $181,129.9 |
| 2026-03-26 | 232 | $52.69 | $12,224.08 |
| 2026-03-25 | 312 | $52.43 | $16,358.16 |
| 2026-03-24 | 381 | $52.00 | $19,812 |
| 2026-03-23 | 1,532 | $51.48 | $78,867.36 |
| 2026-03-20 | 9,464 | $51.59 | $488,247.76 |
| 2026-03-17 | 23,083 | $48.81 | $1.1M |
| 2026-03-11 | 158 | $52.82 | $8,345.56 |
| 2026-03-10 | 1,943 | $54.87 | $106,612.41 |
| 2026-03-09 | 20 | $53.89 | $1,077.8 |
| 2026-03-06 | 43,857 | $55.89 | $2.5M |
| 2026-03-03 | 19,948 | $57.82 | $1.2M |
| 2026-02-25 | 11,838 | $57.60 | $681,868.8 |
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 TECH 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.