Edwards Lifesciences Corporation (EW)
Quantitative Summary
DeterministicEW trades at 46.7x earnings, roughly in line with its sector average of 65.2x. Financial health is average: Piotroski 5/9, Altman Z 10.7. DCF fair value of $69 implies 11% downside based on model assumptions.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of Edwards Lifesciences present a dichotomy between high-margin operations and capital efficiency constraints. While the company demonstrates robust profitability with a 17.7% net margin supported by an Altman Z-Score of 11.4, indicating strong solvency, its return on invested capital (ROIC) of 8.6% falls short against a weighted average cost of capital (WACC) of 10.5%, resulting in a negative spread that erodes shareholder value creation. This inefficiency is further highlighted by the Profitability Factor alpha of -0.151, suggesting weak relative profitability within its peer set despite revenue growth accelerating at an 11.6% annualized rate over ten years. The DuPont decomposition reveals that this ROE stems primarily from high margins rather than asset turnover or leverage, yet the Piotroski F-Score of 5/9 signals moderate financial health without recent significant deterioration or improvement in operational metrics.
Valuation multiples reflect a premium pricing environment relative to sector norms and intrinsic value models. Trading at a price-to-earnings ratio of 44.8x compared to a healthcare sector average of 30.8x, the stock commands a substantial discount for risk-free growth expectations embedded in its DCF model. Specifically, the current market price implies a long-term free cash flow compound annual growth rate (FCF CAGR) of 16.9%, which exceeds historical sustainability benchmarks and suggests the market is pricing in aggressive future expansion that may not align with the company's current capital efficiency profile. The resulting -12.9% downside to fair value indicates that while revenue trends are positive, the equity valuation appears stretched relative to discounted cash flow assumptions.
Risk factors emerge from a combination of insider activity and factor model exposures that complicate the investment thesis. Over the past 90 days, insiders have executed net selling totaling approximately $6.96 million, potentially signaling management caution regarding near-term valuations or liquidity needs. Furthermore, while the Fama-French alpha remains positive at 10.08% annually due to momentum and size effects, the negative Profitability Factor suggests the stock may underperform during market rotations favoring high-quality earnings generators. The neutral Value Factor (HML) of 0.034 implies limited exposure to value premiums, leaving performance heavily dependent on continued growth execution rather than multiple compression or mean reversion in profitability metrics.
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 12% YoY revenue.
Sensitivity Matrix
| TG ↓ / WACC → | 8.6% | 10.6% | 12.6% |
|---|---|---|---|
| 2% | $83 | $63 | $51 |
| 3% | $95 | $69 | $54 |
| 4% | $112 | $78 | $59 |
Center = base case. Green = >10% upside, Red = >10% downside vs $87.66.
Pre-computed DCF: WACC=10.6%, terminal growth 3%. Fair value $69 (-11.4%). Not investment advice.
Valuation Context
Currently trading 5% below its 5-year average P/E of 45.4x.
Price Chart with Moving Averages
Technical Setup
AI GeneratedEdwards Lifesciences Corporation is currently trading at $82.16, a level that requires contextualization against its moving average envelope to assess relative value. Without specific upper and lower band boundaries provided in the immediate data set, the precise degree of deviation from mean reversion zones cannot be quantified; however, the current price serves as the anchor point for evaluating whether the stock is stretched toward overbought conditions or oversold territory relative to its recent historical norms. In a standard technical framework, if this price sits significantly below the lower band of an envelope, it might suggest a statistical probability of upward drift toward the center line, whereas proximity to or placement above the upper band could indicate elevated momentum with potential for correction. The healthcare sector backdrop adds another layer to interpreting these relative positions, as industry-wide volatility often compresses individual stock envelopes temporarily before expanding again. The fact that the price is fixed at $82.16 implies a specific market consensus value at this moment, but determining whether this represents a bargain or an overvaluation depends entirely on where the dynamic support and resistance lines are currently positioned relative to this figure. Observers must monitor if subsequent trading sessions push the price further away from its central trend line, which would amplify mean-reversion signals, or if it consolidates near the middle of the range, suggesting equilibrium rather than a distinct directional bias based solely on envelope mechanics.
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 IHI or XHE, the fund manager is mechanically forced to buy or sell EW shares regardless of Edwards Lifesciences Corporation's individual fundamentals. We estimate $6.9B of passive capital is structurally linked to EW 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 Edwards Lifesciences Corporation to visualize passive redemption contagion across ETFs and collateral stocks.
If Edwards Lifesciences Corporation (EW) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Abbott Laboratories (ABT) as the most exposed collateral stock, sharing 2 ETFs with EW. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 29 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
EW Ownership Dynamics
Passive funds hold 1 in every 7 EW shares, reducing daily market volatility.
Edwards Lifesciences Corporation (EW) exerts measurable gravity on the passive index market, currently representing 5.0% of the IHI (IHI) and 1.7% of the XHE (XHE). Across 28 tracked ETFs, approximately 85M shares (14.7% 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 EW Exposure
Float lock-up computed from 28 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
EW 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 Edwards Lifesciences Corporation over the past year sits near $77.77 (10% of 252-day volume). The current price of $87.66 trades 12.7% above this institutional floor — a sign of upside momentum, though a pullback to the POC zone is a common reversion target.
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.
EW Capital Efficiency
How efficiently does Edwards Lifesciences Corporation convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
Edwards Lifesciences Corporation converts 92% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag. However, the ROIC-WACC spread is negative (-2.0%), 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 | 5,572 | $81.39 | $453,505.08 |
| 2026-05-13 | 23,698 | $79.73 | $1.9M |
| 2026-04-15 | 3 | $78.20 | $234.6 |
| 2026-04-14 | 75 | $78.12 | $5,859 |
| 2026-04-10 | 100 | $79.15 | $7,915 |
| 2026-04-06 | 89 | $81.05 | $7,213.45 |
| 2026-03-31 | 76 | $79.50 | $6,042 |
| 2026-03-25 | 58 | $81.69 | $4,738.02 |
| 2026-03-24 | 106 | $82.02 | $8,694.12 |
| 2026-03-23 | 20,012 | $82.50 | $1.7M |
| 2026-03-16 | 35 | $81.81 | $2,863.35 |
| 2026-03-05 | 87 | $85.22 | $7,414.14 |
| 2026-03-02 | 560 | $86.47 | $48,423.2 |
| 2026-02-26 | 10 | $83.40 | $834 |
| 2026-02-25 | 10 | $82.40 | $824 |
| 2026-02-19 | 16 | $78.98 | $1,263.68 |
| 2026-02-09 | 151 | $78.71 | $11,885.21 |
| 2026-02-04 | 1,713 | $82.10 | $140,637.3 |
| 2026-02-03 | 1,915 | $82.65 | $158,274.75 |
| 2026-01-29 | 50 | $81.86 | $4,093 |
| 2026-01-27 | 17,324 | $84.27 | $1.5M |
| 2026-01-20 | 501 | $84.35 | $42,259.35 |
| 2025-12-19 | 1 | $84.80 | $84.8 |
| 2025-12-17 | 77,398 | $85.32 | $6.6M |
| 2025-12-12 | 116 | $84.24 | $9,771.84 |
| 2025-12-09 | 467 | $84.32 | $39,377.44 |
| 2025-12-02 | 11 | $85.27 | $937.97 |
| 2025-11-24 | 500 | $85.13 | $42,565 |
| 2025-11-20 | 130 | $86.02 | $11,182.6 |
| 2025-11-19 | 62 | $84.04 | $5,210.48 |
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 | |
| SYK | 0.429 | 0.395 | Moderate |
| ISRG | 0.412 | 0.338 | Moderate |
| RMD | 0.355 | 0.192 | Moderate |
| ECL | 0.349 | 0.383 | Moderate |
| PRU | 0.341 | 0.311 | Moderate |
| BSX | 0.333 | 0.256 | Moderate |
| ADI | 0.331 | 0.290 | Moderate |
| GL | 0.327 | 0.311 | Moderate |
| AXP | 0.326 | 0.264 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare EW 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.