VG (VG)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 6/9, Altman Z 1.1. Beneish M-Score of -1.34 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 fundamental economics present a compelling tension between explosive top-line expansion and modest capital efficiency. Revenue growth of 176.9% year-over-year is the primary engine driving a DuPont ROE of 24.6%, which decomposes into an industry-leading net margin of 18.4% amplified by significant financial leverage at an equity multiplier of 5.19x, rather than operational asset turnover which sits at just 0.26x. This capital structure is reinforced by a strong Beneish M-Score of -1.34 and a robust Piotroski F-Score of 6/9, suggesting the earnings quality is unlikely to be an accounting artifact despite the aggressive growth trajectory. However, the return on invested capital (ROIC) of only 7.8% indicates that the firm is currently deploying its substantial equity base less efficiently than it generates net income, a discrepancy largely attributable to the high leverage component rather than margin compression or asset underutilization in operations.
Valuation metrics reflect this dichotomy between growth expectations and profitability standards. A current P/E of 18.2x appears compressed relative to the implied sustainability of such margins if historical sector averages are higher, yet it may still be rich given that DCF models often struggle with firms experiencing hyper-growth where future cash flows remain highly uncertain. The market price likely embeds an assumption that this revenue surge will normalize into a more sustainable compounding rate without eroding the current 18.4% net margin, while simultaneously pricing in the risk associated with maintaining such high leverage as asset bases expand faster than equity issuance can keep pace.
A critical divergence exists between these fundamental strengths and insider sentiment, which presents a notable risk delta for conviction investors. Despite the favorable Piotroski score indicating financial health and strong cash flow generation from operations, insiders have executed net selling totaling approximately $158 million over the last 90 days. This significant outflow suggests that those with deep knowledge of the company's operational realities may be hedging positions or reducing exposure ahead of a potential mean reversion in revenue growth or leverage constraints, creating an asymmetric risk profile where fundamental metrics appear sound but insider behavior signals caution regarding future sustainability.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
Price Chart with Moving Averages
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.
Dividend History
| Date | Amount | Change |
|---|---|---|
| 2026-03-16 | $0.0180 | +5.9% |
| 2025-12-15 | $0.0170 | 0.0% |
| 2025-09-19 | $0.0170 | 0.0% |
| 2025-06-10 | $0.0170 | 0.0% |
| 2025-03-10 | $0.0170 | — |
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.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like XOP or VXF, the fund manager is mechanically forced to buy or sell VG shares regardless of VG's individual fundamentals. We estimate $258M of passive capital is structurally linked to VG through 5 tracked ETFs. Passive flows have a limited but growing influence on VG'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 VG to visualize passive redemption contagion across ETFs and collateral stocks.
If VG (VG) 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 VG. 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.
VG Ownership Dynamics
Passive funds hold 1 in every 27 VG shares, reducing daily market volatility.
VG (VG) exerts measurable gravity on the passive index market, currently representing 2.8% of the XOP (XOP) and 0.1% of the VXF (VXF). Across 5 tracked ETFs, approximately 19M shares (3.8% 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 VG Exposure
Float lock-up computed from 5 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
VG 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 VG over the past year sits near $12.89 (13% of 252-day volume). The current price of $12.37 sits 4.1% below the POC — suggesting potential mean-reversion upside if institutional demand reasserts at this level. 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.
VG Capital Efficiency
How efficiently does VG convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
VG converts -118% of its EBITDA into free cash flow, negative FCF conversion — the company is consuming cash faster than it generates EBITDA, which is unsustainable long-term. The 218% reinvestment rate signals aggressive capacity expansion. The positive ROIC-WACC spread of 0.3% confirms that reinvested capital creates 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 | 1,595 | $13.00 | $20,735 |
| 2026-05-13 | 198,668 | $13.27 | $2.6M |
| 2026-05-12 | 194,142 | $11.62 | $2.3M |
| 2026-05-11 | 108,456 | $11.45 | $1.2M |
| 2026-05-05 | 4,847 | $13.77 | $66,743.19 |
| 2026-05-04 | 3,665 | $12.73 | $46,655.45 |
| 2026-04-28 | 96,958 | $12.19 | $1.2M |
| 2026-04-27 | 97,161 | $11.90 | $1.2M |
| 2026-04-24 | 2,600 | $12.95 | $33,670 |
| 2026-04-20 | 431,052 | $11.46 | $4.9M |
| 2026-04-09 | 10,648 | $14.44 | $153,757.12 |
| 2026-03-30 | 100 | $17.53 | $1,753 |
| 2026-03-26 | 22,534 | $16.71 | $376,543.14 |
| 2026-03-25 | 22,277 | $16.60 | $369,798.2 |
| 2026-03-24 | 347,456 | $15.80 | $5.5M |
| 2026-03-20 | 844 | $14.29 | $12,060.76 |
| 2026-03-19 | 2,692,572 | $14.85 | $40.0M |
| 2026-03-18 | 91,705 | $12.97 | $1.2M |
| 2026-03-17 | 12,903 | $12.28 | $158,448.84 |
| 2026-03-16 | 1,768,712 | $13.10 | $23.2M |
| 2026-03-13 | 947 | $12.77 | $12,093.19 |
| 2026-03-12 | 285,883 | $12.46 | $3.6M |
| 2026-03-11 | 1,283 | $11.40 | $14,626.2 |
| 2026-03-10 | 44,685 | $11.51 | $514,324.35 |
| 2026-03-09 | 15,004 | $12.48 | $187,249.92 |
| 2026-03-06 | 28 | $12.28 | $343.84 |
| 2026-03-05 | 257,660 | $11.16 | $2.9M |
| 2026-03-04 | 380,157 | $11.46 | $4.4M |
| 2026-03-03 | 123,169 | $11.38 | $1.4M |
| 2026-03-02 | 47 | $9.69 | $455.43 |
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 | |
| MUR | 0.493 | 0.484 | Moderate |
| APA | 0.485 | 0.496 | Moderate |
| OXY | 0.467 | 0.465 | Moderate |
| EOG | 0.445 | 0.418 | Moderate |
| CF | 0.423 | 0.500 | Moderate |
| FANG | 0.422 | 0.375 | Moderate |
| COP | 0.418 | 0.402 | Moderate |
| DVN | 0.417 | 0.396 | Moderate |
| OKE | 0.406 | 0.444 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare VG 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.