SITM (SITM)
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 present a stark dichotomy between operational efficiency and profitability, characterized by negative returns on invested capital of -3.9% driven entirely by net losses despite robust revenue expansion. While the Piotroski F-Score of 7/9 suggests strong balance sheet integrity and positive earnings momentum relative to peers, this is counterbalanced by a severe deterioration in bottom-line performance with a net margin contraction to -13.1%. The high gross margin of 53.6% indicates potent pricing power or favorable cost structures at the production level, yet these efficiencies are insufficient to cover operating expenses, resulting in an Altman Z-score environment where solvency remains theoretically intact but profitability is absent. Essentially, the company demonstrates exceptional top-line velocity that has not yet translated into sustainable bottom-line accretion for shareholders.
Valuation metrics reflect significant market skepticism regarding the path from current losses to future cash generation, with a discounted cash flow model implying an intrinsic fair value of $14 based on specific growth and risk assumptions. This DCF-derived target suggests the market is pricing in substantial recovery potential or that current trading levels may be detached from fundamental earnings power given the negative net income profile. The discrepancy between high revenue growth of 61.2% YoY and persistent losses creates a valuation tension where traditional multiples are less relevant, forcing reliance on forward-looking cash flow projections to justify any premium over intrinsic value. Investors must weigh whether the current price adequately compensates for the risk that operating leverage will not materialize as expected given the wide gap between gross profitability and net results.
No specific data regarding Fama-French alpha, insider trading activity, or sector-relative valuation deltas was provided in the input; consequently, a granular assessment of idiosyncratic risk premiums or management alignment cannot be synthesized from the available dataset. The absence of historical P/E comparisons due to negative earnings further limits traditional relative valuation analysis, leaving the investment thesis dependent heavily on the validity of the DCF assumptions and the eventual normalization of net margins.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
Interactive5-year two-stage DCF. Terminal growth 3%. Default sliders match the pre-computed base case. Drag to explore scenarios. Not investment advice.
Sensitivity Matrix
| TG ↓ / WACC → | 8% | 10% | 12% |
|---|---|---|---|
| 2% | $17 | $13 | $11 |
| 3% | $19 | $14 | $11 |
| 4% | $23 | $16 | $12 |
Center = base case. Green = >10% upside, Red = >10% downside vs $701.08.
Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $14 (+0.0%). Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
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 XSD or MDYG, the fund manager is mechanically forced to buy or sell SITM shares regardless of SITM's individual fundamentals. We estimate $1.1B of passive capital is structurally linked to SITM through 8 tracked ETFs. Index rebalances and ETF creation/redemption cycles can create noticeable volume spikes unrelated to company news.
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 SITM to visualize passive redemption contagion across ETFs and collateral stocks.
If SITM (SITM) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies MAXLINEAR INC (MXL) as the most exposed collateral stock, sharing 1 ETFs with SITM. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 12 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
SITM Ownership Dynamics
Passive funds hold 1 in every 14 SITM shares, reducing daily market volatility.
SITM (SITM) exerts measurable gravity on the passive index market, currently representing 3.2% of the XSD (XSD) and 0.9% of the MDYG (MDYG). Across 11 tracked ETFs, approximately 2M shares (7.4% of float) are held by passive funds and rarely trade on the open market. As passive ownership grows, index inclusion changes may increasingly drive price discovery.
ETFs with Highest SITM Exposure
Float lock-up computed from 11 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
SITM Institutional Volume Profile
252-day volume distribution by price level. The Point of Control (POC) marks — the price where the most institutional volume transacted — an implicit support/resistance floor.
The highest-volume price zone for SITM over the past year sits near $204.37 (19% of 252-day volume). The current price of $701.08 trades 243.0% above this institutional floor — a sign of upside momentum, though a pullback to the POC zone is a common reversion target. The highly concentrated volume profile (19% at POC) indicates strong consensus on fair value — institutional participants have repeatedly transacted near this price.
Volume Profile computed from 252 trading days of OHLCV data. Volume allocated to price bins proportionally based on daily high-low range. 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 |
|---|---|---|---|
| 2026-05-07 | 7 | $623.33 | $4,363.31 |
| 2026-05-05 | 165 | $564.68 | $93,172.2 |
| 2026-05-01 | 52 | $562.15 | $29,231.8 |
| 2026-04-21 | 495 | $528.10 | $261,409.5 |
| 2026-04-20 | 796 | $503.63 | $400,889.48 |
| 2026-04-14 | 1,838 | $447.08 | $821,733.04 |
| 2026-03-31 | 122 | $311.23 | $37,970.06 |
| 2026-03-27 | 156 | $334.67 | $52,208.52 |
| 2026-03-24 | 455 | $346.17 | $157,507.35 |
| 2026-03-23 | 102 | $325.32 | $33,182.64 |
| 2026-03-19 | 169 | $343.78 | $58,098.82 |
| 2026-03-10 | 855 | $356.34 | $304,670.7 |
| 2026-03-05 | 167 | $383.47 | $64,039.49 |
| 2026-03-03 | 46 | $440.80 | $20,276.8 |
| 2026-02-23 | 1,394 | $406.97 | $567,316.18 |
| 2026-02-19 | 8 | $410.72 | $3,285.76 |
| 2026-02-09 | 123 | $418.69 | $51,498.87 |
| 2026-02-04 | 991 | $351.47 | $348,306.77 |
| 2026-01-30 | 140 | $365.58 | $51,181.2 |
| 2026-01-28 | 643 | $358.08 | $230,245.44 |
| 2026-01-22 | 2,362 | $377.71 | $892,151.02 |
| 2026-01-21 | 6,860 | $363.13 | $2.5M |
| 2026-01-07 | 444 | $344.75 | $153,069 |
| 2026-01-05 | 12 | $369.96 | $4,439.52 |
| 2026-01-02 | 240 | $353.19 | $84,765.6 |
| 2025-12-24 | 201 | $381.83 | $76,747.83 |
| 2025-12-22 | 3,513 | $366.61 | $1.3M |
| 2025-12-15 | 60 | $362.05 | $21,723 |
| 2025-12-11 | 216 | $376.36 | $81,293.76 |
| 2025-12-10 | 31 | $366.49 | $11,361.19 |
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 SITM to Peers
Quant metrics computed deterministically from financial statements and price data. Updated: 2026-06-02.
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.