TENB (TENB)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 6/9, Altman Z 0.6. DCF fair value of $86 implies 392% upside from current prices based on model assumptions.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of TENB present a stark divergence between top-line expansion and capital efficiency, characterized by an ROIC-WACC spread of -8.2% that signals value destruction rather than creation despite 11.0% revenue growth. While the high gross margin of 78.1% suggests strong pricing power or niche product differentiation, this is entirely offset by negative net margins at -3.6%, indicating significant operating leverage issues or heavy investment phases eroding bottom-line returns. The DuPont decomposition implicitly reveals that turnover and profitability are failing to drive ROE; instead, the Altman Z-Score of 0.6 places the firm in distress territory regarding solvency risk, even as a Beneish M-Score of -3.16 points toward low earnings manipulation probability. This mixed signal is reinforced by a Piotroski F-Score of 6/9, suggesting moderate financial strength that cannot yet overcome the capital allocation inefficiency evident in the negative spread between returns and cost of equity.
Valuation metrics display extreme tension between traditional multiples and discounted cash flow models. Although current pricing appears deeply undervalued relative to a DCF fair value of $86—implying 391.7% upside based on specific growth assumptions—the model relies on an implausible ten-year free cash flow contraction rate of -5.4%. This disconnect suggests the market is currently pricing in limited downside protection rather than sustainable compounding, creating a scenario where high implied returns are contingent on a fundamental turnaround that historical profitability factors contradict. The stock's exposure to these dynamics is further highlighted by its factor tilts: it exhibits a growth bias with an HML value of -0.262 while simultaneously suffering from weak profitability as evidenced by the RMW score of -0.381, leaving valuation sensitive to any deterioration in operating margins or asset turnover.
Risk-adjusted performance data underscores significant headwinds for long-term alpha generation. The annual Fama-French Alpha stands at a punishing -36.51%, indicating that over time, the stock has underperformed its risk factors substantially after adjusting for market exposure. This persistent negative drift aligns with the weak profitability factor score and suggests that any apparent valuation discount may reflect structural quality issues rather than temporary market dislocation. Investors must weigh whether the theoretical DCF upside can materialize given the current trajectory of free cash flow decline, as the combination of solvency concerns and poor risk-adjusted returns creates a high-variance environment where capital preservation remains a primary challenge absent a verified inflection in net margin expansion or ROIC improvement.
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 11% YoY revenue.
Sensitivity Matrix
| TG ↓ / WACC → | 6.6% | 8.6% | 10.6% |
|---|---|---|---|
| 2% | $110 | $74 | $55 |
| 3% | $137 | $86 | $61 |
| 4% | $186 | $102 | $69 |
Center = base case. Green = >10% upside, Red = >10% downside vs $30.90.
Pre-computed DCF: WACC=8.6%, terminal growth 3%. Fair value $86 (+391.7%). Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
Balance Sheet Health
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 HACK or XSW, the fund manager is mechanically forced to buy or sell TENB shares regardless of TENB's individual fundamentals. We estimate $149M of passive capital is structurally linked to TENB through 6 tracked ETFs. Passive flows have a limited but growing influence on TENB's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 6 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in TENB to visualize passive redemption contagion across ETFs and collateral stocks.
If TENB (TENB) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Broadcom Inc (AVGO) as the most exposed collateral stock, sharing 1 ETFs with TENB. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 6 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
TENB Ownership Dynamics
Passive funds hold 1 in every 14 TENB shares, reducing daily market volatility.
TENB (TENB) exerts measurable gravity on the passive index market, currently representing 3.1% of the Amplify Cybersecurity ETF (HACK) and 0.9% of the XSW (XSW). Across 6 tracked ETFs, approximately 8M shares (7.3% of float) are held by passive funds and rarely trade on the open market. As passive ownership grows, index inclusion changes may increasingly drive price discovery.
ETFs with Highest TENB Exposure
Float lock-up computed from 6 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
TENB 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 TENB over the past year sits near $20.22 (12% of 252-day volume). The current price of $30.90 trades 52.8% 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.
TENB Capital Efficiency
How efficiently does TENB convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
TENB converts 527% 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 (-8.1%), 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 |
|---|---|---|---|
| 2026-04-30 | 39 | $21.47 | $837.33 |
| 2026-04-29 | 1,875 | $20.44 | $38,325 |
| 2026-04-27 | 4 | $20.02 | $80.08 |
| 2026-04-17 | 645 | $19.03 | $12,274.35 |
| 2026-04-09 | 19,300 | $17.93 | $346,049 |
| 2026-03-27 | 18,500 | $18.29 | $338,365 |
| 2026-02-13 | 22 | $22.12 | $486.64 |
| 2026-02-12 | 2 | $22.55 | $45.1 |
| 2026-02-11 | 148,612 | $22.90 | $3.4M |
| 2026-02-06 | 131,827 | $19.76 | $2.6M |
| 2026-01-29 | 1,145 | $22.47 | $25,728.15 |
| 2026-01-22 | 61 | $22.33 | $1,362.13 |
| 2026-01-21 | 11,970 | $21.86 | $261,664.2 |
| 2025-12-29 | 98 | $24.10 | $2,361.8 |
| 2025-12-22 | 1,490 | $24.79 | $36,937.1 |
| 2025-11-05 | 755 | $28.06 | $21,185.3 |
| 2025-10-27 | 18 | $30.30 | $545.4 |
| 2025-10-23 | 393 | $30.11 | $11,833.23 |
| 2025-10-15 | 280 | $29.22 | $8,181.6 |
| 2025-10-01 | 59 | $29.16 | $1,720.44 |
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 | |
| OKTA | 0.650 | 0.740 | Moderate |
| S | 0.635 | 0.660 | Moderate |
| CRWD | 0.628 | 0.712 | Moderate |
| ZS | 0.593 | 0.642 | Moderate |
| PANW | 0.584 | 0.580 | Moderate |
| NOW | 0.576 | 0.623 | Moderate |
| GEN | 0.574 | 0.673 | Moderate |
| CRM | 0.570 | 0.553 | Moderate |
| ADSK | 0.568 | 0.632 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare TENB 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.