VTOL (VTOL)
Quantitative Summary
DeterministicStrong operational fundamentals (Piotroski 7/9) with Altman Z of 2.0.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics present a distinct capital efficiency challenge, as the company's return on invested capital of 7.8% falls short of its weighted average cost of capital at 10.3%, resulting in a negative spread that suggests value destruction from operations despite robust profitability metrics. This operational drag contrasts sharply with strong earnings quality indicators; a Piotroski F-Score of 7/9 and a Beneish M-Score of -2.51 signal high financial integrity with minimal likelihood of manipulation, while the Altman Z-Score of 2.0 places the entity in the grey zone between safety and distress. The DuPont decomposition reveals that an impressive gross margin of 66.8% is being leveraged against a net margin of 8.7%, yet this profitability has not translated into superior capital returns, likely due to elevated leverage or inefficient asset turnover relative to industry peers.
Valuation multiples currently reflect significant market skepticism regarding the trajectory of free cash flow generation. Trading at a P/E ratio of 10.6x, which is notably compressed against historical norms and sector averages implied by such low multiples, the stock appears priced for stagnation rather than growth. This discount persists even though revenue grew 5.3% year-over-year; however, this modest expansion fails to offset the capital inefficiency highlighted by the negative ROIC-WACC spread. A DCF analysis suggests a fair value of $6, implying that current market pricing may already be incorporating pessimistic assumptions about future growth rates or requiring higher risk premiums than warranted given the company's clean financial statement scores.
The divergence between high-quality accounting fundamentals and poor capital allocation efficiency creates an asymmetric risk profile for investors. While the low Beneish M-Score reduces downside tail risks associated with fraud, the negative ROIC-WACC spread indicates that existing operations are not generating sufficient returns to cover their cost of capital, a structural issue that could suppress long-term compounding regardless of revenue growth. The Altman Z-Score hovering near 2.0 warrants monitoring for potential liquidity constraints or balance sheet stress as leverage levels evolve. Ultimately, the investment case hinges on whether management can improve operational efficiency to align ROIC with WACC, thereby unlocking value hidden within these currently depressed multiples and high-quality earnings metrics.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 8.3% | 10.3% | 12.3% |
|---|---|---|---|
| 2% | $10 | $5 | $2 |
| 3% | $13 | $6 | $3 |
| 4% | $17 | $8 | $4 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=10.3%, terminal growth 3%. Fair value $6 (+0.0%). 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.
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 XES or SLYV, the fund manager is mechanically forced to buy or sell VTOL shares regardless of VTOL's individual fundamentals. We estimate $28M of passive capital is structurally linked to VTOL through 6 tracked ETFs. Passive flows have a limited but growing influence on VTOL'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 VTOL to visualize passive redemption contagion across ETFs and collateral stocks.
If VTOL (VTOL) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Exxon Mobil Corp. (XOM) as the most exposed collateral stock, sharing 1 ETFs with VTOL. 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.
VTOL Ownership Dynamics
ETFs with Highest VTOL Exposure
Float lock-up computed from 6 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
VTOL Capital Efficiency
How efficiently does VTOL convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
VTOL converts 21% of its EBITDA into free cash flow, a moderate conversion rate — significant EBITDA is consumed by capital expenditures, working capital changes, or interest payments. The 79% reinvestment rate signals aggressive capacity expansion. However, the ROIC-WACC spread is negative (-2.5%), 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 |
|---|---|---|---|
| 2026-05-12 | 91 | $42.43 | $3,861.13 |
| 2026-05-08 | 211 | $42.55 | $8,978.05 |
| 2026-05-06 | 636 | $48.90 | $31,100.4 |
| 2026-05-01 | 213 | $49.13 | $10,464.69 |
| 2026-04-22 | 92 | $46.92 | $4,316.64 |
| 2026-04-10 | 149 | $49.37 | $7,356.13 |
| 2026-04-09 | 1,730 | $49.34 | $85,358.2 |
| 2026-04-06 | 2 | $47.24 | $94.48 |
| 2026-04-01 | 15 | $46.89 | $703.35 |
| 2026-03-31 | 581 | $45.12 | $26,214.72 |
| 2026-03-26 | 3 | $45.86 | $137.58 |
| 2026-03-23 | 66 | $44.18 | $2,915.88 |
| 2026-03-19 | 14 | $43.27 | $605.78 |
| 2026-03-17 | 1,707 | $43.04 | $73,469.28 |
| 2026-03-10 | 1 | $45.83 | $45.83 |
| 2026-03-05 | 233 | $44.87 | $10,454.71 |
| 2026-02-25 | 8 | $46.85 | $374.8 |
| 2026-02-19 | 577 | $46.00 | $26,542 |
| 2026-02-03 | 31 | $44.25 | $1,371.75 |
| 2026-01-29 | 150 | $44.15 | $6,622.5 |
| 2026-01-23 | 2,782 | $41.87 | $116,482.34 |
| 2026-01-22 | 456 | $41.65 | $18,992.4 |
| 2026-01-21 | 1,000 | $40.28 | $40,280 |
| 2026-01-13 | 6 | $40.02 | $240.12 |
| 2026-01-12 | 899 | $40.14 | $36,085.86 |
| 2026-01-09 | 27 | $39.87 | $1,076.49 |
| 2026-01-05 | 72 | $37.34 | $2,688.48 |
| 2025-12-30 | 89 | $36.40 | $3,239.6 |
| 2025-12-24 | 524 | $36.32 | $19,031.68 |
| 2025-12-19 | 4 | $35.70 | $142.8 |
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 VTOL 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.