Synopsys, Inc. (SNPS)
Quantitative Summary
DeterministicSNPS trades at 108.6x earnings — a 67% premium to its sector average of 65.0x — without a dominant ROIC-WACC spread. Below-average fundamentals indicated by Piotroski score of 3/9. DCF fair value of $12 implies 97% downside based on model assumptions. Beneish M-Score of -1.74 exceeds the -2.22 academic threshold — earnings quality may warrant further review.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of Synopsys, Inc. present a significant divergence between high profitability metrics and capital efficiency concerns. While the company maintains robust gross margins at 77.0% and generates an ROE of 4.7%, this return is driven primarily by financial leverage (equity multiplier of 1.70x) rather than operational asset turnover, which remains low at 0.15x. This structural reliance on debt to finance assets results in a negative capital efficiency spread where the Return on Invested Capital of 3.3% falls substantially below the Weighted Average Cost of Capital of 10.8%, creating an annual drag of -7.5%. Although financial distress indicators like the Altman Z-Score (3.1) and Beneish M-Score (-1.74) suggest manageable fraud risk and moderate solvency, the low Piotroski F-Score of 3/9 signals weak fundamental quality relative to its peers.
Valuation metrics indicate that current market pricing is detached from intrinsic value models based on provided cash flow assumptions. The stock trades at a forward P/E of 60.6x, which is significantly elevated compared to the sector average of 42.2x, suggesting investors are anticipating sustained hyper-growth rather than mature stability. This optimism appears misaligned with Discounted Cash Flow analysis, which implies a fair value of $11 and indicates -97.3% downside from current levels if long-term free cash flow growth adheres to the modeled trajectory. The market is effectively pricing in an implied ten-year FCF growth rate of 24.6%, a figure that may be overly aggressive given the company's negative alpha profile under standard factor models.
Risk-adjusted performance data further complicates the investment thesis, highlighting potential mispricing relative to systematic risk factors. Synopsys exhibits a pronounced exposure to the Growth tilt with a Value Factor (HML) of -0.537 and suffers from weak profitability characteristics reflected in a Profitability Factor (RMW) score of -0.741. These factor loadings, combined with an annual Fama-French alpha of -17.65%, suggest the stock has underperformed its risk-adjusted benchmark over the measured period. Additionally, recent insider activity shows $260,000 in net selling over the last 90 days, which often precedes periods where management anticipates valuation compression or seeks to reduce exposure ahead of market downturns.
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 → | 8.7% | 10.7% | 12.7% |
|---|---|---|---|
| 2% | $24 | $6 | $0 |
| 3% | $35 | $12 | $0 |
| 4% | $50 | $19 | $3 |
Center = base case. Green = >10% upside, Red = >10% downside vs $508.35.
Pre-computed DCF: WACC=10.7%, terminal growth 3%. Fair value $12 (-97.2%). Not investment advice.
Valuation Context
Currently trading 1% above its 5-year average P/E of 59.5x.
Price Chart with Moving Averages
Technical Setup
AI GeneratedSNPS is trading below both its 50-day and 200-day moving averages, suggesting a recent downturn in the stock's price trend. The RSI reading of 46.4 indicates that momentum may be neutral to slightly bearish at this time, as it lies near but under the midpoint of 50.
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 SMH, the fund manager is mechanically forced to buy or sell SNPS shares regardless of Synopsys, Inc.'s individual fundamentals. We estimate $14.2B of passive capital is structurally linked to SNPS 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 Synopsys, Inc. to visualize passive redemption contagion across ETFs and collateral stocks.
If Synopsys, Inc. (SNPS) 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 SNPS. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 33 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
SNPS Ownership Dynamics
Passive funds hold 1 in every 6 SNPS shares, reducing daily market volatility.
Synopsys, Inc. (SNPS) exerts notable gravity on the passive index market, currently representing 3.8% of the IGV (IGV) and 2.9% of the VanEck Semiconductor ETF (SMH). Across 32 tracked ETFs, approximately 31M shares (16.0% 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 SNPS Exposure
Float lock-up computed from 32 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
SNPS 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 Synopsys, Inc. over the past year sits near $424.40 (12% of 252-day volume). The current price of $508.35 trades 19.8% 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 (12% 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.
SNPS Capital Efficiency
How efficiently does Synopsys, Inc. convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
Synopsys, Inc. converts 54% 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 (-7.4%), 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 |
|---|---|---|---|
| 2026-05-14 | 1,305 | $509.28 | $664,610.4 |
| 2026-05-13 | 3,919 | $513.21 | $2.0M |
| 2026-05-11 | 323 | $516.48 | $166,823.04 |
| 2026-05-08 | 1,910 | $505.19 | $964,912.9 |
| 2026-05-07 | 817 | $504.42 | $412,111.14 |
| 2026-05-06 | 5 | $502.51 | $2,512.55 |
| 2026-05-05 | 109 | $497.50 | $54,227.5 |
| 2026-05-04 | 144 | $489.02 | $70,418.88 |
| 2026-04-30 | 1,273 | $481.22 | $612,593.06 |
| 2026-04-28 | 14,986 | $498.54 | $7.5M |
| 2026-04-27 | 22,500 | $500.82 | $11.3M |
| 2026-04-20 | 14,483 | $449.58 | $6.5M |
| 2026-04-17 | 16,866 | $441.15 | $7.4M |
| 2026-04-16 | 1 | $438.45 | $438.45 |
| 2026-04-15 | 3 | $418.80 | $1,256.4 |
| 2026-04-14 | 6,980 | $417.77 | $2.9M |
| 2026-04-09 | 2,981 | $410.16 | $1.2M |
| 2026-04-08 | 7,123 | $397.90 | $2.8M |
| 2026-04-07 | 2,925 | $397.07 | $1.2M |
| 2026-04-06 | 14 | $395.95 | $5,543.3 |
| 2026-04-02 | 7,190 | $396.74 | $2.9M |
| 2026-04-01 | 13,904 | $396.48 | $5.5M |
| 2026-03-31 | 4,353 | $383.14 | $1.7M |
| 2026-03-26 | 9,135 | $410.13 | $3.7M |
| 2026-03-25 | 33,997 | $415.62 | $14.1M |
| 2026-03-24 | 34,196 | $432.48 | $14.8M |
| 2026-03-23 | 99,635 | $420.32 | $41.9M |
| 2026-03-20 | 15,114 | $428.25 | $6.5M |
| 2026-03-17 | 26,402 | $425.88 | $11.2M |
| 2026-03-16 | 2,377 | $412.63 | $980,821.51 |
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 | |
| CDNS | 0.698 | 0.766 | Moderate |
| RBRK | 0.474 | 0.480 | Moderate |
| OKTA | 0.431 | 0.532 | Moderate |
| TRMB | 0.413 | 0.541 | Moderate |
| CRM | 0.384 | 0.497 | Moderate |
| KKR | 0.379 | 0.544 | Moderate |
| SAP | 0.378 | 0.468 | Moderate |
| TEM | 0.368 | 0.480 | Moderate |
| EPAM | 0.361 | 0.384 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare SNPS 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.