REX (REX)
Quantitative Summary
DeterministicFinancial health metrics are strong: Piotroski 7/9, Altman Z 12.2 (above 3.0 safe zone threshold).
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe capital allocation efficiency for REX presents a notable divergence from its earnings generation capabilities, as the return on invested capital of 6.7% falls short of the weighted average cost of capital at 9.6%, resulting in a negative spread of -2.9%. This indicates that current operations are destroying value relative to the required hurdle rate, even though profitability metrics remain robust with net and gross margins of 12.8% and 14.4% respectively. While the DuPont components suggest margin stability rather than turnover or leverage driving returns given the low growth trajectory, fundamental integrity appears strong based on a Piotroski F-Score of 7/9, an Altman Z-Score of 12.2 indicating minimal bankruptcy risk, and a Beneish M-Score of -2.88 that signals low earnings manipulation probability.
Valuation metrics suggest the market is pricing in moderate growth expectations that may not align with recent operational performance. The current multiple of 18.4x sits above typical compression zones for firms exhibiting single-digit revenue expansion, yet it remains below the DCF-derived fair value estimate of $38 per share if one assumes implied future growth can exceed historical norms. This discrepancy implies a potential mean reversion opportunity or a market discount applied to the persistent negative ROIC-WACC spread, which acts as a drag on long-term equity value despite the attractive entry multiple relative to intrinsic models.
The risk-reward profile is characterized by high fundamental quality scores offsetting weak capital efficiency and stagnant top-line growth of 1.2% year-over-year. The combination of a low manipulation score and strong solvency metrics provides a defensive floor, while the negative value spread suggests that any future improvement in asset turnover or margin expansion could significantly enhance shareholder returns without requiring substantial additional leverage.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 7.6% | 9.6% | 11.6% |
|---|---|---|---|
| 2% | $46 | $35 | $28 |
| 3% | $53 | $38 | $30 |
| 4% | $65 | $43 | $33 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=9.6%, terminal growth 3%. Fair value $38 (+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 XOP or VFMO, the fund manager is mechanically forced to buy or sell REX shares regardless of REX's individual fundamentals. We estimate $47M of passive capital is structurally linked to REX through 7 tracked ETFs. Passive flows have a limited but growing influence on REX'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 REX to visualize passive redemption contagion across ETFs and collateral stocks.
If REX (REX) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Exxon Mobil Corp. (XOM) as the most exposed collateral stock, sharing 2 ETFs with REX. 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.
REX Ownership Dynamics
ETFs with Highest REX Exposure
Float lock-up computed from 7 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
REX Capital Efficiency
How efficiently does REX convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
REX converts 59% of its EBITDA into free cash flow, a healthy conversion rate indicating efficient capital management — the business generates substantial cash after reinvestment. However, the ROIC-WACC spread is negative (-2.9%), 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 |
|---|---|---|---|
| 2026-04-30 | 46 | $48.41 | $2,226.86 |
| 2026-04-23 | 45 | $45.40 | $2,043 |
| 2026-04-14 | 54 | $43.08 | $2,326.32 |
| 2026-03-20 | 40 | $40.68 | $1,627.2 |
| 2026-02-03 | 155 | $34.31 | $5,318.05 |
| 2026-01-23 | 1,133 | $34.56 | $39,156.48 |
| 2026-01-16 | 1 | $33.74 | $33.74 |
| 2026-01-14 | 29 | $33.59 | $974.11 |
| 2025-12-05 | 14 | $35.07 | $490.98 |
| 2025-12-03 | 6 | $33.69 | $202.14 |
| 2025-11-25 | 6 | $31.81 | $190.86 |
| 2025-11-24 | 2,049 | $32.34 | $66,264.66 |
| 2025-11-04 | 431 | $32.27 | $13,908.37 |
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 REX 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.