Palo Alto Networks, Inc. (PANW)
Quantitative Summary
DeterministicPANW trades at 156.5x earnings — a 141% premium to its sector average of 65.0x — without a dominant ROIC-WACC spread. Financial health is average: Piotroski 4/9, Altman Z 5.6. DCF fair value of $187 suggests 15% upside based on model assumptions.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of Palo Alto Networks reveal a high-growth profile underpinned by robust operating leverage, evidenced by gross margins expanding to 73.4% and revenue growing at 14.9% year-over-year. However, the DuPont decomposition indicates that this return on equity of 14.5% is primarily driven by an equity multiplier of 3.01x rather than operational efficiency or margin expansion alone. While the Beneish M-Score of -2.84 suggests management earnings quality remains intact and the Altman Z-Score of 5.9 signals a low probability of distress, the Piotroski F-Score of 4/9 points to moderate financial weakness relative to strong peers. Consequently, despite solid profitability metrics, the capital structure relies heavily on leverage rather than organic asset turnover or margin improvement to sustain returns.
Valuation analysis highlights a significant premium pricing over historical norms and sector averages, with the current P/E ratio at 90.7x compared to a technology sector average of 42.2x. This multiple implies that the market is anchoring expectations on an aggressive long-term free cash flow growth rate of 12.6% annually within its DCF model. While this scenario supports a theoretical fair value with approximately 17.8% upside, such high multiples leave little room for error if actual execution deviates from these optimistic projections. The disparity between the current price and the implied growth trajectory suggests that any deceleration in revenue or margin expansion could trigger a rapid re-rating of equity valuations downward.
Risk metrics present a divergent picture regarding risk-adjusted performance, as indicated by negative signals across multiple factor models. The stock exhibits a Fama-French alpha of -40.89% annually and underperforms on both the value (HML) and profitability (RMW) factors, reflecting its classification as a high-growth asset with deteriorating relative profitability characteristics. This risk profile is further compounded by significant insider activity over the last 90 days, characterized by $17.36 million in net selling. Collectively, these data points suggest that while the company maintains strong balance sheet fundamentals and earnings quality, its current valuation incorporates substantial growth assumptions that are not supported by recent factor-based performance or insider confidence levels.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
Interactive5-year two-stage DCF. Terminal growth 3%. Default sliders match the pre-computed base case. Drag to explore scenarios. Not investment advice.
The growth rate the market implicitly expects over the next 10 years to justify today's price. Compare with historical growth of 15% YoY revenue.
Sensitivity Matrix
| TG ↓ / WACC → | 8% | 10% | 12% |
|---|---|---|---|
| 2% | $228 | $168 | $132 |
| 3% | $267 | $187 | $143 |
| 4% | $325 | $213 | $157 |
Center = base case. Green = >10% upside, Red = >10% downside vs $297.18.
Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $187 (+15.1%). Not investment advice.
Valuation Context
Currently trading 12% below its 5-year average P/E of 98.8x.
Price Chart with Moving Averages
Technical Setup
AI GeneratedPalo Alto Networks (PANW) is trading below its 50-day moving average but above the longer-term 200-day moving average, suggesting some near-term weakness but with support from a broader uptrend. The RSI reading of 57.5 indicates that the stock has moderate positive momentum, though it's not in overbought territory yet.
Quant Health Deep Dive
Profitability & Value Creation
DuPont Analysis — ROE Decomposition
Breaking down Return on Equity to see how the company generates its ROE — efficiency, margins, or leverage.
Balance Sheet Health
Insider Activity (Last 90 Days)
Open-market buys vs sells by company insiders. Source: yfinance.
Earnings Surprise History
EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.
Risk Profile
Sharpe = risk-adjusted return (higher is better). Max drawdown = largest peak-to-trough decline. 1,200+ trading days.
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.
Fama-French 5-Factor Exposure
Academic factor model decomposition — what's really driving this stock's returns.
Fama-French 5-Factor Model. Data: Kenneth French Data Library. Regression over 3 years of daily returns.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like IGV or HACK, the fund manager is mechanically forced to buy or sell PANW shares regardless of Palo Alto Networks, Inc.'s individual fundamentals. We estimate $20.9B of passive capital is structurally linked to PANW through 8 tracked ETFs. This substantial passive exposure means that ETF inflows and outflows — not company fundamentals — can dominate daily volume on this stock.
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 Palo Alto Networks, Inc. to visualize passive redemption contagion across ETFs and collateral stocks.
If Palo Alto Networks, Inc. (PANW) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies NVIDIA CORP (NVDA) as the most exposed collateral stock, sharing 1 ETFs with PANW. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 30 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
PANW Ownership Dynamics
Passive funds hold 1 in every 7 PANW shares, reducing daily market volatility.
Palo Alto Networks, Inc. (PANW) exerts measurable gravity on the passive index market, currently representing 5.9% of the IGV (IGV) and 5.5% of the Amplify Cybersecurity ETF (HACK). Across 29 tracked ETFs, approximately 116M shares (14.3% of float) are held by passive funds and rarely trade on the open market. This level of passive ownership means index rebalances can create outsized volume events.
ETFs with Highest PANW Exposure
Float lock-up computed from 29 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
PANW Institutional Volume Profile
252-day volume distribution by price level. The Point of Control (POC) marks — the price where the most institutional volume transacted — an implicit support/resistance floor.
The highest-volume price zone for Palo Alto Networks, Inc. over the past year sits near $184.50 (17% of 252-day volume). The current price of $297.18 trades 61.1% above this institutional floor — a sign of upside momentum, though a pullback to the POC zone is a common reversion target. The highly concentrated volume profile (17% at POC) indicates strong consensus on fair value — institutional participants have repeatedly transacted near this price.
Volume Profile computed from 252 trading days of OHLCV data. Volume allocated to price bins proportionally based on daily high-low range. Not investment advice.
PANW Capital Efficiency
How efficiently does Palo Alto Networks, Inc. convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
Palo Alto Networks, Inc. converts 179% 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 |
|---|---|---|---|
| 2026-05-14 | 4,559 | $227.79 | $1.0M |
| 2026-05-13 | 31,172 | $215.60 | $6.7M |
| 2026-05-11 | 3,131 | $207.88 | $650,872.28 |
| 2026-05-08 | 302 | $196.53 | $59,352.06 |
| 2026-05-07 | 1 | $183.68 | $183.68 |
| 2026-05-04 | 2,526 | $181.08 | $457,408.08 |
| 2026-04-27 | 816 | $178.54 | $145,688.64 |
| 2026-04-24 | 3 | $173.21 | $519.63 |
| 2026-04-22 | 52 | $174.96 | $9,097.92 |
| 2026-04-20 | 653 | $167.85 | $109,606.05 |
| 2026-04-17 | 51,042 | $166.97 | $8.5M |
| 2026-04-16 | 71,887 | $164.11 | $11.8M |
| 2026-04-15 | 9 | $161.59 | $1,454.31 |
| 2026-04-08 | 13,984 | $169.87 | $2.4M |
| 2026-04-07 | 101 | $161.95 | $16,356.95 |
| 2026-04-06 | 752 | $163.21 | $122,733.92 |
| 2026-04-02 | 944 | $160.67 | $151,672.48 |
| 2026-04-01 | 3 | $160.32 | $480.96 |
| 2026-03-30 | 5,761 | $147.02 | $846,982.22 |
| 2026-03-27 | 37,029 | $156.36 | $5.8M |
| 2026-03-25 | 955 | $157.21 | $150,135.55 |
| 2026-03-23 | 112,585 | $162.95 | $18.3M |
| 2026-03-18 | 1,131 | $169.19 | $191,353.89 |
| 2026-03-17 | 113,788 | $167.45 | $19.1M |
| 2026-03-16 | 5,010 | $167.02 | $836,770.2 |
| 2026-03-13 | 14,505 | $168.12 | $2.4M |
| 2026-03-12 | 33,841 | $164.93 | $5.6M |
| 2026-03-10 | 46,448 | $165.10 | $7.7M |
| 2026-03-09 | 9,583 | $165.05 | $1.6M |
| 2026-03-02 | 125 | $148.92 | $18,615 |
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.
Price Correlations
Statistical correlation of daily returns with other stocks. High correlations indicate stocks that move together; negative correlations can offer diversification.
| Peer | 252-Day (1Y) | 126-Day (6M) | Direction |
|---|---|---|---|
| WTGXX | NaN | NaN | |
| CRWD | 0.705 | 0.771 | High co-movement |
| ZS | 0.627 | 0.629 | Moderate |
| FTNT | 0.585 | 0.679 | Moderate |
| TENB | 0.584 | 0.580 | Moderate |
| NOW | 0.576 | 0.609 | Moderate |
| S | 0.544 | 0.544 | Moderate |
| SNOW | 0.532 | 0.602 | Moderate |
| CHKP | 0.527 | 0.542 | Moderate |
| CRM | 0.527 | 0.531 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare PANW to Peers
Quant metrics computed deterministically from financial statements and price data. Updated: 2026-06-02.
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.