MSGE (MSGE)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 6/9, Altman Z 1.7.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe capital allocation efficiency for MSGE presents a nuanced picture, characterized by a modest ROIC-WACC spread of +0.6%, indicating that the firm generates returns only marginally above its cost of capital. This thin economic moat is underpinned by strong pricing power evidenced by a robust 43.2% gross margin, yet this advantage is eroded by operating inefficiencies resulting in a net margin of just 4.0%. While the Piotroski F-Score of 6/9 suggests reasonable financial strength and stability, the Altman Z-Score of 1.7 flags potential distress risks that warrant close monitoring despite the low Beneish M-Score of -2.80, which points to a lack of earnings manipulation. The combination of shrinking revenue (-1.7% YoY) and thin net spreads suggests the business model is currently struggling to translate top-line contraction into bottom-line value creation.
Valuation metrics reveal a significant divergence between current market pricing and intrinsic value estimates. Trading at 51.2x forward earnings, the stock commands a premium that appears disconnected from its deteriorating revenue trajectory and modest profitability profile. This multiple implies aggressive growth expectations embedded in the price, which are not supported by the DCF model's fair value estimate of $48. The disparity between the high current P/E and the lower implied valuation suggests the market may be overpaying for future performance that has yet to materialize given the recent negative revenue momentum.
From a risk-reward perspective, the data highlights substantial downside volatility relative to potential upside. The Altman Z-Score proximity to bankruptcy territory introduces credit and solvency risks not fully captured by the benign Beneish score or moderate Piotroski rating. Furthermore, the combination of declining revenues and a valuation that assumes sustained growth creates a fragile equity structure where any further deterioration in margins could trigger a sharp re-rating downward. Investors must weigh whether the current price adequately compensates for these fundamental headwinds versus the speculative premium being priced into the multiple.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 6% | 7.3% | 9.3% |
|---|---|---|---|
| 2% | $54 | $38 | $25 |
| 3% | $73 | $48 | $29 |
| 4% | $111 | $63 | $35 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=7.3%, terminal growth 3%. Fair value $48 (+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 VOX or VBK, the fund manager is mechanically forced to buy or sell MSGE shares regardless of MSGE's individual fundamentals. We estimate $52M of passive capital is structurally linked to MSGE through 3 tracked ETFs. Passive flows have a limited but growing influence on MSGE's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 3 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in MSGE to visualize passive redemption contagion across ETFs and collateral stocks.
If MSGE (MSGE) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Facebook Inc. Class A (META) as the most exposed collateral stock, sharing 1 ETFs with MSGE. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 3 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
MSGE Ownership Dynamics
ETFs with Highest MSGE Exposure
Float lock-up computed from 3 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
MSGE Capital Efficiency
How efficiently does MSGE convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
MSGE converts 54% of its EBITDA into free cash flow, a healthy conversion rate indicating efficient capital management — the business generates substantial cash after reinvestment. The positive ROIC-WACC spread of 0.6% confirms that reinvested capital creates 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 |
|---|---|---|---|
| 2026-05-06 | 32 | $65.99 | $2,111.68 |
| 2026-04-13 | 126 | $60.60 | $7,635.6 |
| 2026-03-26 | 808 | $57.63 | $46,565.04 |
| 2026-03-11 | 49,747 | $58.21 | $2.9M |
| 2026-03-04 | 10,121 | $60.78 | $615,154.38 |
| 2026-02-04 | 485 | $60.34 | $29,264.9 |
| 2025-12-23 | 50 | $53.13 | $2,656.5 |
| 2025-11-28 | 54 | $48.96 | $2,643.84 |
| 2025-11-26 | 54 | $48.95 | $2,643.3 |
| 2025-11-25 | 54 | $47.21 | $2,549.34 |
| 2025-11-24 | 54 | $47.80 | $2,581.2 |
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 MSGE 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.