VRNS (VRNS)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 5/9, Altman Z 1.1. DCF fair value of $52 implies 137% 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 VRNS reveal a stark divergence between top-line expansion and bottom-line execution, characterized by negative capital efficiency. Despite revenue growing at 13.2% year-over-year with robust gross margins near 79%, the company generates a -20.7% net margin, resulting in an ROIC-WACC spread of -15.9%. This indicates that current operations are actively destroying value relative to the cost of capital. While the Piotroski F-Score of 5/9 suggests moderate financial strength and the Beneish M-Score of -3.14 points away from earnings manipulation, the Altman Z-Score of 1.1 signals elevated distress risk typical of firms with negative retained earnings or high leverage relative to assets. The DuPont decomposition is implicitly driven by low asset turnover or extreme leverage given the loss-making status, despite the growth trajectory.
Valuation metrics present a significant premium that appears disconnected from current profitability realities. Although the DCF model implies substantial upside potential at $52 fair value—a 136.9% discount to market prices—this valuation relies on an assumed ten-year free cash flow growth rate of merely 4.1%. This conservative long-term growth assumption contrasts sharply with the implied multiple expansion required for the stock to reach its intrinsic value, suggesting the market is pricing in a rapid turnaround or massive scale-up that has not yet materialized in earnings. The current P/E ratio is effectively undefined due to negative net income, creating a valuation environment where traditional multiples are less relevant than cash flow conversion potential and strategic pivot success.
Risk-adjusted performance data highlights significant underperformance relative to factor benchmarks. The annual Fama-French alpha of -8.40% indicates the stock has consistently failed to generate excess returns after adjusting for market risk, while a Value Factor (HML) score of -0.144 confirms its classification as a growth tilt rather than a value play. Most critically, the Profitability Factor (RMW) score of -0.991 places VRNS in the bottom quartile regarding profitability relative to peers, reinforcing concerns about operational efficiency despite revenue gains. Investors must weigh the theoretical DCF upside against these persistent structural weaknesses and negative factor exposures before concluding that the current price reflects a true mispricing rather than an overvaluation based on speculative future cash flows.
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 13% YoY revenue.
Sensitivity Matrix
| TG ↓ / WACC → | 6.2% | 8.2% | 10.2% |
|---|---|---|---|
| 2% | $68 | $44 | $32 |
| 3% | $88 | $52 | $36 |
| 4% | $125 | $63 | $41 |
Center = base case. Green = >10% upside, Red = >10% downside vs $35.88.
Pre-computed DCF: WACC=8.2%, terminal growth 3%. Fair value $52 (+136.9%). 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 VRNS shares regardless of VRNS's individual fundamentals. We estimate $180M of passive capital is structurally linked to VRNS through 5 tracked ETFs. Passive flows have a limited but growing influence on VRNS's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 5 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in VRNS to visualize passive redemption contagion across ETFs and collateral stocks.
If VRNS (VRNS) 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 VRNS. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 5 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
VRNS Ownership Dynamics
Passive funds hold 1 in every 16 VRNS shares, reducing daily market volatility.
VRNS (VRNS) exerts measurable gravity on the passive index market, currently representing 3.6% of the Amplify Cybersecurity ETF (HACK) and 0.9% of the XSW (XSW). Across 5 tracked ETFs, approximately 7M shares (6.3% 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 VRNS Exposure
Float lock-up computed from 5 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
VRNS 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 VRNS over the past year sits near $34.06 (15% of 252-day volume). The current price of $35.88 trades 5.3% 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 (15% 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.
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 |
|---|---|---|---|
| 2026-05-13 | 19,590 | $27.84 | $545,385.6 |
| 2026-05-07 | 470 | $27.61 | $12,976.7 |
| 2026-05-05 | 8 | $27.41 | $219.28 |
| 2026-05-01 | 4,946 | $26.30 | $130,079.8 |
| 2026-03-26 | 1,167 | $21.39 | $24,962.13 |
| 2026-03-23 | 139,126 | $23.72 | $3.3M |
| 2026-02-25 | 2,539 | $21.71 | $55,121.69 |
| 2026-02-17 | 1,859 | $25.36 | $47,144.24 |
| 2026-02-04 | 444,415 | $26.53 | $11.8M |
| 2026-01-30 | 2,655 | $30.57 | $81,163.35 |
| 2026-01-29 | 3 | $33.41 | $100.23 |
| 2026-01-28 | 169,089 | $34.21 | $5.8M |
| 2026-01-27 | 150,727 | $35.64 | $5.4M |
| 2026-01-23 | 34,565 | $34.79 | $1.2M |
| 2026-01-08 | 3,053 | $35.44 | $108,198.32 |
| 2026-01-02 | 5,017 | $32.80 | $164,557.6 |
| 2025-12-31 | 104,412 | $33.10 | $3.5M |
| 2025-12-03 | 38,166 | $31.96 | $1.2M |
| 2025-12-02 | 20,700 | $32.26 | $667,782 |
| 2025-11-12 | 17 | $35.77 | $608.09 |
| 2025-11-06 | 383 | $35.00 | $13,405 |
| 2025-11-03 | 477 | $35.23 | $16,804.71 |
| 2025-10-29 | 13 | $63.00 | $819 |
| 2025-10-15 | 190 | $61.15 | $11,618.5 |
| 2025-10-09 | 6,014 | $63.31 | $380,746.34 |
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 | |
| FISV | 0.649 | 0.778 | Moderate |
| TENB | 0.536 | 0.560 | Moderate |
| ADP | 0.491 | 0.546 | Moderate |
| VRSK | 0.428 | 0.522 | Moderate |
| EXTR | 0.426 | 0.515 | Moderate |
| ZS | 0.421 | 0.392 | Moderate |
| ADSK | 0.417 | 0.463 | Moderate |
| S | 0.408 | 0.425 | Moderate |
| RBRK | 0.401 | 0.388 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare VRNS 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.