NTNX (NTNX)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 6/9, Altman Z 0.9.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe capital allocation efficiency of NTNX demonstrates a modest spread between its Return on Invested Capital and the Weighted Average Cost of Capital, indicating that value creation is constrained relative to financing costs. Despite this narrow margin, the DuPont decomposition reveals a robust profit engine characterized by an 86.8% gross margin and healthy net margins at 7.4%, supported by accelerating revenue growth of 18.1% year-over-year. Financial integrity metrics present a mixed signal; while the Beneish M-Score of -3.10 suggests low earnings manipulation risk, the Altman Z-Score of 0.9 signals elevated bankruptcy distress probability, creating tension between operational profitability and balance sheet resilience. The Piotroski F-Score of 6/9 further underscores this dichotomy, reflecting a fundamentally sound business with positive trends in leverage and operating cash flow, yet lacking the full nine-point strength required for top-tier fundamental quality.
Valuation metrics indicate that the market is pricing in significant future growth expectations, as evidenced by the current P/E multiple of 43.0x, which likely exceeds historical norms and sector averages given the company's specific risk profile. This premium valuation implies a high bar for earnings acceleration to justify the cost of equity; however, the DCF model calculates a fair value of $150, suggesting that under conservative assumptions regarding terminal growth and discount rates, the current market price may be discounted relative to intrinsic worth if those specific inputs hold true. The disparity between the aggressive multiple and the calculated fair value highlights whether the market is appropriately compensating for the Altman Z-Score risk or overpaying for the high-margin software economics.
The synthesis of these factors presents a complex risk-reward dynamic where strong top-line momentum and low fraud indicators coexist with precarious solvency metrics and inefficient capital returns. Investors must weigh the potential upside from continued revenue expansion against the heightened probability of financial distress indicated by the Altman score, while recognizing that the current valuation leaves little room for error in execution or macroeconomic headwinds.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 6% | 7.7% | 9.7% |
|---|---|---|---|
| 2% | $184 | $126 | $90 |
| 3% | $240 | $150 | $102 |
| 4% | $352 | $187 | $117 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=7.7%, terminal growth 3%. Fair value $150 (+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 XSW or MDYG, the fund manager is mechanically forced to buy or sell NTNX shares regardless of NTNX's individual fundamentals. We estimate $767M of passive capital is structurally linked to NTNX through 8 tracked ETFs. Passive flows have a limited but growing influence on NTNX'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 NTNX to visualize passive redemption contagion across ETFs and collateral stocks.
If NTNX (NTNX) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies FLEX LTD (FLEX) as the most exposed collateral stock, sharing 2 ETFs with NTNX. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 14 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
NTNX Ownership Dynamics
ETFs with Highest NTNX Exposure
Float lock-up computed from 14 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
NTNX Capital Efficiency
How efficiently does NTNX convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
NTNX converts 256% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag. The positive ROIC-WACC spread of 1.6% 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 |
|---|---|---|---|
| 2026-05-08 | 7,280 | $45.93 | $334,370.4 |
| 2026-05-06 | 24 | $43.43 | $1,042.32 |
| 2026-05-05 | 7 | $43.73 | $306.11 |
| 2026-05-01 | 1,760 | $40.89 | $71,966.4 |
| 2026-04-02 | 24,520 | $38.04 | $932,740.8 |
| 2026-03-25 | 768 | $39.31 | $30,190.08 |
| 2026-03-24 | 91 | $40.39 | $3,675.49 |
| 2026-03-23 | 110 | $39.48 | $4,342.8 |
| 2026-03-19 | 2,721 | $41.47 | $112,839.87 |
| 2026-03-13 | 68,246 | $39.13 | $2.7M |
| 2026-02-26 | 1,566 | $38.44 | $60,197.04 |
| 2026-02-17 | 927 | $41.76 | $38,711.52 |
| 2026-02-06 | 130 | $38.39 | $4,990.7 |
| 2026-01-27 | 2,807 | $43.37 | $121,739.59 |
| 2025-12-29 | 983 | $52.84 | $51,941.72 |
| 2025-12-23 | 42,049 | $52.94 | $2.2M |
| 2025-12-19 | 221,589 | $50.69 | $11.2M |
| 2025-12-18 | 142,741 | $50.20 | $7.2M |
| 2025-12-17 | 400 | $48.27 | $19,308 |
| 2025-12-16 | 20 | $47.76 | $955.2 |
| 2025-12-10 | 197 | $47.23 | $9,304.31 |
| 2025-12-09 | 43 | $47.39 | $2,037.77 |
| 2025-12-05 | 40 | $47.11 | $1,884.4 |
| 2025-12-04 | 1,763 | $47.45 | $83,654.35 |
| 2025-12-03 | 13,740 | $46.57 | $639,871.8 |
| 2025-11-26 | 65,686 | $58.77 | $3.9M |
| 2025-11-25 | 43,446 | $58.32 | $2.5M |
| 2025-11-20 | 26 | $60.39 | $1,570.14 |
| 2025-11-18 | 497 | $64.60 | $32,106.2 |
| 2025-11-10 | 27 | $69.62 | $1,879.74 |
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 NTNX 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.