NHC (NHC)
Quantitative Summary
DeterministicStrong operational fundamentals (Piotroski 8/9).
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe company demonstrates robust fundamental quality, evidenced by a Piotroski F-Score of 8/9 and a negative Beneish M-Score of -2.60, which collectively signal strong financial health with low earnings manipulation risk. The return on equity is driven primarily by operational efficiency rather than leverage; the 39.3% gross margin suggests significant pricing power or cost advantages that feed into the reported 7.9% net margin and accelerating revenue growth of 16.9%. While a specific ROIC-WACC spread cannot be calculated without the WACC input, the 10.5% ROIC indicates capital allocation efficiency is likely exceeding typical market benchmarks for peers in an unknown sector, supported by the high-quality scorecard metrics.
Valuation appears stretched relative to historical norms and implied growth rates given the current multiple of 22.8x earnings. This premium pricing suggests the market is anticipating sustained execution that aligns with the double-digit revenue expansion but may be overpaying for near-term cash flows if the DCF model, which values shares at $342, diverges significantly from current trading levels. The discrepancy between the high growth rate and the valuation multiple implies that any deceleration in the 16.9% YoY trajectory could trigger a re-rating downward, as the market struggles to reconcile the premium with the specific risk-free rate assumptions embedded within the DCF fair value calculation.
Risk assessment highlights a potential divergence where the strong fundamental scores contrast with elevated valuation expectations. The absence of sector data limits the ability to benchmark the 22.8x P/E against industry peers, creating uncertainty regarding whether this multiple reflects genuine scarcity or speculative positioning. Investors must weigh the high-quality earnings trajectory and low fraud risk against the sensitivity of the current price action to growth miss scenarios, noting that the DCF fair value serves as a theoretical anchor rather than an immediate target in volatile markets.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 8% | 10% | 12% |
|---|---|---|---|
| 2% | $417 | $306 | $240 |
| 3% | $489 | $342 | $261 |
| 4% | $596 | $389 | $287 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $342 (+0.0%). Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
✅ Conservative payout — room for dividend increases.
Balance Sheet Health
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 XHS or SLYG, the fund manager is mechanically forced to buy or sell NHC shares regardless of NHC's individual fundamentals. We estimate $67M of passive capital is structurally linked to NHC through 8 tracked ETFs. Passive flows have a limited but growing influence on NHC'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 NHC to visualize passive redemption contagion across ETFs and collateral stocks.
If NHC (NHC) 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 NHC. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 8 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
NHC Ownership Dynamics
ETFs with Highest NHC Exposure
Float lock-up computed from 8 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
NHC Capital Efficiency
How efficiently does NHC convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
NHC converts 70% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag.
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 | 722 | $189.47 | $136,797.34 |
| 2026-05-05 | 137 | $170.61 | $23,373.57 |
| 2026-04-02 | 74 | $157.97 | $11,689.78 |
| 2026-04-01 | 5,031 | $159.70 | $803,450.7 |
| 2026-03-23 | 91 | $158.81 | $14,451.71 |
| 2026-03-20 | 999 | $157.73 | $157,572.27 |
| 2026-03-10 | 3,492 | $160.52 | $560,535.84 |
| 2026-03-02 | 21 | $163.50 | $3,433.5 |
| 2026-02-13 | 213 | $168.33 | $35,854.29 |
| 2026-02-12 | 1,897 | $168.34 | $319,340.98 |
| 2025-12-22 | 6 | $141.64 | $849.84 |
| 2025-12-12 | 8 | $137.75 | $1,102 |
| 2025-11-24 | 584 | $130.44 | $76,176.96 |
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 NHC 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.