SPNT (SPNT)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 4/9, Altman Z 0.7.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe capital allocation efficiency is critically impaired, evidenced by a negative ROIC-WACC spread of -4.0%, indicating that the firm destroys shareholder value despite reporting robust revenue growth of 21.7% and healthy net margins at 14.4%. This divergence suggests an operational disconnect where top-line expansion fails to translate into efficient capital deployment or sustainable profitability relative to cost of equity. The fundamental quality assessment is further deteriorated by a Piotroski F-Score of 4/9, signaling moderate financial weakness, while the Altman Z-Score of 0.7 places the entity in the "grey zone" between safety and distress, raising concerns regarding long-term solvency that are not immediately reflected in the current earnings multiple.
Valuation metrics present a complex dichotomy where the compressed P/E ratio of 5.8x appears superficially attractive when compared to historical norms or sector peers, yet this low multiple likely embeds significant downside risk rather than value creation potential. A discounted cash flow analysis would struggle to justify these prices given the negative economic spread and weak balance sheet indicators; instead, the market pricing suggests a deep discount for anticipated capital destruction risks rather than an undervaluation of future growth. The discrepancy between high revenue velocity and low valuation multiples implies that investors are heavily weighting the Altman Z-Score implications over top-line momentum, resulting in a price-to-earnings compression that may persist until operational efficiency improves or leverage stabilizes.
The risk-reward profile is skewed toward downside volatility given the combination of negative economic returns and precarious solvency metrics, creating an environment where traditional growth narratives face headwinds from fundamental deterioration. While insider activity data was not provided to assess management alignment with these risks, the structural deficits in capital efficiency and financial stability suggest that any near-term price appreciation would require a material reversal in operating leverage or cost structure before the current valuation gap narrows meaningfully.
Generated by LLM from quantitative data inputs. May contain inaccuracies. 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 KIE or SLYG, the fund manager is mechanically forced to buy or sell SPNT shares regardless of SPNT's individual fundamentals. We estimate $56M of passive capital is structurally linked to SPNT through 7 tracked ETFs. Passive flows have a limited but growing influence on SPNT'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 SPNT to visualize passive redemption contagion across ETFs and collateral stocks.
If SPNT (SPNT) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies OSCAR HEALTH INC CLASS A (OSCR) as the most exposed collateral stock, sharing 1 ETFs with SPNT. 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.
SPNT Ownership Dynamics
ETFs with Highest SPNT Exposure
Float lock-up computed from 8 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
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 | 172 | $22.44 | $3,859.68 |
| 2026-05-11 | 730 | $23.45 | $17,118.5 |
| 2026-05-08 | 9,213 | $23.49 | $216,413.37 |
| 2026-05-05 | 418 | $22.77 | $9,517.86 |
| 2026-05-01 | 610 | $23.41 | $14,280.1 |
| 2026-04-08 | 592 | $22.89 | $13,550.88 |
| 2026-03-31 | 366 | $21.17 | $7,748.22 |
| 2026-03-26 | 325 | $21.51 | $6,990.75 |
| 2026-03-23 | 11 | $20.38 | $224.18 |
| 2026-03-03 | 90 | $21.49 | $1,934.1 |
| 2026-03-02 | 90 | $21.14 | $1,902.6 |
| 2026-02-27 | 90 | $21.26 | $1,913.4 |
| 2026-02-26 | 21 | $21.25 | $446.25 |
| 2026-02-13 | 58 | $20.59 | $1,194.22 |
| 2026-01-05 | 47 | $21.07 | $990.29 |
| 2025-12-22 | 286 | $22.10 | $6,320.6 |
| 2025-12-16 | 771 | $22.32 | $17,208.72 |
| 2025-12-05 | 78 | $21.84 | $1,703.52 |
| 2025-12-01 | 1,010 | $20.80 | $21,008 |
| 2025-11-04 | 59 | $18.88 | $1,113.92 |
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 SPNT 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.