Agilent Technologies, Inc. (A)
Quantitative Summary
DeterministicAt 27.3x earnings — a 58% discount to the sector average of 65.2x — A is in the lower valuation range. Financial health is average: Piotroski 5/9, Altman Z 4.6. DCF fair value of $50 implies 57% downside based on model assumptions.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedAgilent Technologies presents a fundamental profile characterized by robust profitability metrics that mask underlying capital efficiency constraints. While the DuPont decomposition reveals strong earnings quality driven primarily by an 18.8% net margin, this leverage is offset by a modest asset turnover of 0.55x and limited financial gearing at 1.89x. The critical structural weakness emerges in the return on invested capital (ROIC) of 11.8%, which falls below the weighted average cost of capital (WACC) of 12.1%, resulting in a negative spread that erodes long-term shareholder value despite a healthy Piotroski F-Score of 5/9 and an Altman Z-Score of 4.5 indicating solvency stability. The Beneish M-Score of -2.46 further suggests management earnings are unlikely to be manipulated, yet the negative ROIC-WACC dynamic implies that current growth strategies may not generate sufficient economic returns relative to capital deployment costs.
Valuation multiples reflect this tension between historical performance and future expectations; trading at a P/E of 25.5x, the stock commands a discount of approximately 17% versus the sector average of 30.8x. However, discounted cash flow analysis suggests significant downside pressure, with a fair value estimate of $50 implying -55.9% upside from current levels if long-term free cash flow growth materializes at the projected 16.5% annualized rate over the next decade. This discrepancy indicates the market may be pricing in lower persistence for these margins or anticipating a compression in asset turnover that would further depress ROIC, creating a valuation gap between fundamental earnings power and intrinsic worth.
Risk-adjusted return metrics highlight a distinct divergence from traditional factor premiums. The stock exhibits a substantial negative Fama-French alpha of -21.44% annually, signaling underperformance relative to its risk profile over the measured period. This underperformance is exacerbated by a Value Factor (HML) tilt of -0.179 and neutral Profitability Factor exposure (RMW: 0.013), suggesting the equity has behaved more like a growth asset than a value proxy despite trading below sector peers. With insider flow remaining neutral over the last ninety days, there is no immediate signal of management conviction or distress to offset these statistical headwinds, leaving investors to weigh whether current pricing adequately compensates for the negative capital efficiency spread and persistent factor underperformance.
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 7% YoY revenue.
Sensitivity Matrix
| TG ↓ / WACC → | 10.1% | 12.1% | 14.1% |
|---|---|---|---|
| 2% | $59 | $46 | $38 |
| 3% | $66 | $50 | $40 |
| 4% | $75 | $55 | $43 |
Center = base case. Green = >10% upside, Red = >10% downside vs $135.05.
Pre-computed DCF: WACC=12.1%, terminal growth 3%. Fair value $50 (-57.1%). Not investment advice.
Valuation Context
Currently trading 4% above its 5-year average P/E of 24.3x.
Price Chart with Moving Averages
Technical Setup
AI GeneratedAgilent Technologies, Inc. is currently trading at $114.96 within the Healthcare sector, a level that warrants examination against its established moving average envelope to gauge relative positioning. While specific short-term and long-term moving averages are not explicitly detailed in this snapshot, the proximity of the current price to these dynamic support and resistance bands serves as the primary indicator for potential mean-reversion dynamics. If the stock has recently tested the lower boundary of a defined channel or is hovering near a key simple moving average after a period of consolidation, it may suggest that statistical probabilities favor a return toward the central trend line rather than an immediate breakout or breakdown. The absence of extreme deviations from these historical averages often signals a market equilibrium where volatility contracts, potentially setting the stage for low-risk entry points if the price dips further to established support levels. Conversely, significant distance above or below the mean would imply higher momentum but also increased exposure to correction risks as the asset seeks alignment with its long-term trajectory. In this neutral technical context, the $114.96 mark acts as a pivot point where traders might monitor whether subsequent price action confirms a continuation of the current trend or triggers a reversion toward the statistical average defined by recent trading history.
Quant Health Deep Dive
Profitability & Value Creation
✅ Conservative payout — room for dividend increases.
DuPont Analysis — ROE Decomposition
Breaking down Return on Equity to see how the company generates its ROE — efficiency, margins, or leverage.
Balance Sheet Health
Earnings Surprise History
EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.
Dividend History
| Date | Amount | Change |
|---|---|---|
| 2026-03-31 | $0.2550 | 0.0% |
| 2026-01-06 | $0.2550 | +2.8% |
| 2025-09-30 | $0.2480 | 0.0% |
| 2025-07-01 | $0.2480 | 0.0% |
| 2025-04-01 | $0.2480 | 0.0% |
| 2024-12-31 | $0.2480 | +5.1% |
| 2024-10-01 | $0.2360 | 0.0% |
| 2024-07-02 | $0.2360 | 0.0% |
| 2024-04-01 | $0.2360 | 0.0% |
| 2023-12-29 | $0.2360 | +4.9% |
| 2023-10-02 | $0.2250 | 0.0% |
| 2023-06-30 | $0.2250 | 0.0% |
Dividend and split data from SEC filings and market data. Amounts are per share, not adjusted for splits. 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 MOAT or VOT, the fund manager is mechanically forced to buy or sell A shares regardless of Agilent Technologies, Inc.'s individual fundamentals. We estimate $5.0B of passive capital is structurally linked to A 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 Agilent Technologies, Inc. to visualize passive redemption contagion across ETFs and collateral stocks.
If Agilent Technologies, Inc. (A) 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 A. 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.
A Ownership Dynamics
Passive funds hold 1 in every 6 A shares, reducing daily market volatility.
Agilent Technologies, Inc. (A) exerts notable gravity on the passive index market, currently representing 1.3% of the MOAT (MOAT) and 0.8% of the VOT (VOT). Across 29 tracked ETFs, approximately 44M shares (15.6% 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 A Exposure
Float lock-up computed from 29 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
A 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 Agilent Technologies, Inc. over the past year sits near $114.81 (13% of 252-day volume). The current price of $135.05 trades 17.6% 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 (13% 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.
A Capital Efficiency
How efficiently does Agilent Technologies, Inc. convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
Agilent Technologies, Inc. converts 63% 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 (-0.3%), 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 |
|---|---|---|---|
| 2026-04-20 | 50 | $121.87 | $6,093.5 |
| 2026-04-17 | 471 | $118.25 | $55,695.75 |
| 2026-04-07 | 429 | $114.84 | $49,266.36 |
| 2026-04-06 | 1 | $115.48 | $115.48 |
| 2026-03-26 | 2,320 | $112.98 | $262,113.6 |
| 2026-03-25 | 28 | $114.20 | $3,197.6 |
| 2026-03-23 | 135,809 | $111.30 | $15.1M |
| 2026-03-02 | 5 | $121.38 | $606.9 |
| 2026-02-26 | 169 | $124.72 | $21,077.68 |
| 2026-02-19 | 46 | $126.94 | $5,839.24 |
| 2026-02-03 | 119 | $135.39 | $16,111.41 |
| 2026-01-08 | 1 | $147.81 | $147.81 |
| 2025-12-22 | 5,226 | $137.24 | $717,216.24 |
| 2025-12-17 | 702 | $139.19 | $97,711.38 |
| 2025-12-11 | 192 | $143.47 | $27,546.24 |
| 2025-11-20 | 43 | $144.40 | $6,209.2 |
| 2025-11-18 | 9 | $144.52 | $1,300.68 |
| 2025-11-13 | 13 | $151.52 | $1,969.76 |
| 2025-10-29 | 39 | $145.85 | $5,688.15 |
| 2025-10-23 | 21 | $145.87 | $3,063.27 |
| 2025-10-21 | 2,356 | $143.00 | $336,908 |
| 2025-10-20 | 1 | $141.92 | $141.92 |
| 2025-10-15 | 79 | $138.04 | $10,905.16 |
| 2025-10-06 | 34,402 | $141.64 | $4.9M |
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 | |
| MTD | 0.828 | 0.757 | High co-movement |
| DHR | 0.784 | 0.693 | High co-movement |
| TMO | 0.783 | 0.694 | High co-movement |
| WAT | 0.731 | 0.599 | High co-movement |
| IQV | 0.666 | 0.534 | Moderate |
| NDSN | 0.623 | 0.549 | Moderate |
| GEHC | 0.603 | 0.564 | Moderate |
| ILMN | 0.585 | 0.429 | Moderate |
| PFE | 0.571 | 0.477 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare A 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.