ESCO Technologies Inc. (ESE)
Quantitative Summary
DeterministicESE trades at 57.1x earnings, roughly in line with its sector average of 65.0x. Below-average fundamentals indicated by Piotroski score of 3/9. Beneish M-Score of -2.17 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 capital efficiency profile reveals a significant divergence between operational returns and the cost of equity, with an ROIC-WACC spread contracting to -4.8%, indicating that current earnings generation fails to cover the required return on invested capital. Despite this compression in absolute value creation, profitability metrics remain robust, driven by high leverage within the DuPont framework as evidenced by a net margin expansion to 27.3% and gross margins holding at 42.1%. Fundamental stability checks present a mixed picture: while revenue growth accelerates at 19.2%, the low Piotroski F-Score of 3/9 suggests deteriorating financial strength, yet the Altman Z-Score of 6.5 and negative Beneish M-Score of -2.17 simultaneously point to low bankruptcy risk and a lack of earnings manipulation.
Valuation metrics reflect market expectations that are largely aligned with sector peers but imply aggressive future performance assumptions. The current P/E ratio of 57.1x sits marginally below the technology sector average of 58.2x, suggesting the stock is not materially overvalued relative to its industry group despite the negative ROIC spread. However, a DCF analysis places fair value at $166, which serves as a critical anchor for assessing whether current market pricing adequately compensates for the capital inefficiency and weak fundamental score delta. The valuation premium appears contingent on sustained margin expansion rather than improved asset turnover or leverage efficiency in the near term.
The risk-reward dynamic is characterized by high earnings quality tempered by structural capital constraints; while the negative M-Score alleviates concerns regarding accounting fraud, the combination of a negative ROIC spread and low Piotroski score introduces execution risk that may prevent value realization even if growth targets are met. Investors must weigh the attractive profitability margins against the likelihood that future cash flows will struggle to bridge the widening gap between returns on invested capital and the cost of financing without significant operational restructuring or asset base optimization.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 9.9% | 11.9% | 13.9% |
|---|---|---|---|
| 2% | $196 | $152 | $123 |
| 3% | $219 | $166 | $132 |
| 4% | $251 | $183 | $142 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=11.9%, terminal growth 3%. Fair value $166 (+0.0%). Not investment advice.
Valuation Context
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
✅ Conservative payout — room for dividend increases.
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 IJT or SLYG, the fund manager is mechanically forced to buy or sell ESE shares regardless of ESCO Technologies Inc.'s individual fundamentals. We estimate $585M of passive capital is structurally linked to ESE through 8 tracked ETFs. Passive flows have a limited but growing influence on ESE'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 ESCO Technologies Inc. to visualize passive redemption contagion across ETFs and collateral stocks.
If ESCO Technologies Inc. (ESE) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Bloom Energy Corp. Class A (BE) as the most exposed collateral stock, sharing 2 ETFs with ESE. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 10 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
ESE Ownership Dynamics
ETFs with Highest ESE Exposure
Float lock-up computed from 9 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
ESE Capital Efficiency
How efficiently does ESCO Technologies Inc. convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
ESCO Technologies Inc. converts 77% 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 (-4.8%), 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 |
|---|---|---|---|
| 2026-05-05 | 6 | $327.66 | $1,965.96 |
| 2026-05-01 | 1 | $323.95 | $323.95 |
| 2026-04-30 | 1 | $311.79 | $311.79 |
| 2026-04-29 | 5 | $317.01 | $1,585.05 |
| 2026-04-24 | 11 | $318.83 | $3,507.13 |
| 2026-04-23 | 11 | $311.00 | $3,421 |
| 2026-04-20 | 100 | $314.92 | $31,492 |
| 2026-04-02 | 182 | $293.15 | $53,353.3 |
| 2026-03-23 | 7 | $260.95 | $1,826.65 |
| 2026-02-26 | 109 | $279.10 | $30,421.9 |
| 2026-02-18 | 4 | $266.00 | $1,064 |
| 2026-02-17 | 13,813 | $268.41 | $3.7M |
| 2026-02-13 | 4 | $272.76 | $1,091.04 |
| 2026-02-12 | 11 | $283.19 | $3,115.09 |
| 2026-01-21 | 26 | $220.50 | $5,733 |
| 2026-01-02 | 283 | $195.39 | $55,295.37 |
| 2025-12-22 | 267 | $198.78 | $53,074.26 |
| 2025-11-28 | 17 | $212.93 | $3,619.81 |
| 2025-11-26 | 17 | $217.43 | $3,696.31 |
| 2025-11-25 | 14 | $224.36 | $3,141.04 |
| 2025-11-24 | 12 | $215.50 | $2,586 |
| 2025-11-14 | 118 | $216.79 | $25,581.22 |
| 2025-11-07 | 14 | $218.92 | $3,064.88 |
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 ESE 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.