PENG (PENG)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 6/9, Altman Z 2.0.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics present a significant capital allocation challenge, characterized by an ROIC of 3.9% that falls substantially below the estimated WACC of 13.5%, resulting in a negative spread of -9.6%. This indicates value destruction through operations rather than creation, as returns on invested capital fail to cover the cost of equity and debt financing required for growth. Despite this inefficiency, earnings per share are bolstered by high leverage within the DuPont framework, which masks weak operational profitability where net margins compress to just 1.8% despite gross margins holding at 28.8%. While revenue expands at a robust 16.9% year-over-year, suggesting top-line momentum, the quality of earnings is tempered by mixed signals: a solid Piotroski F-Score of 6/9 and a low Beneish M-Score of -2.52 point to reasonable financial health and limited manipulation risk, yet an Altman Z-Score hovering near 2.0 introduces non-trivial bankruptcy distress concerns that contradict the apparent operational scale.
Valuation metrics reflect extreme market optimism detached from underlying cash flow generation. The current P/E ratio of 75.6x is markedly elevated relative to historical norms and likely exceeds sector averages, implying investors are pricing in aggressive future expansion rather than current fundamentals. This disconnect is starkly highlighted by a DCF analysis suggesting a fair value of $23, which stands in sharp contrast to the market's implied multiple driven by the 16.9% growth rate. The market appears willing to tolerate negative capital efficiency and thin net margins if it believes revenue acceleration will eventually drive margin expansion or leverage down sufficiently to justify the premium valuation.
The risk-reward profile is skewed heavily toward downside volatility given the divergence between high-growth expectations and destructive capital returns. While the low Beneish M-Score offers some comfort regarding earnings integrity, the combination of a negative ROIC-WACC spread and an Altman Z-Score approaching distress thresholds suggests that any slowdown in revenue growth could trigger a rapid re-rating as leverage becomes unsustainable. The current pricing assumes flawless execution to bridge the gap between 16.9% top-line expansion and the need for significantly improved capital efficiency; failure to achieve this operational turnaround would likely result in severe multiple compression, leaving little margin of safety against the identified fundamental headwinds.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 11.5% | 13.5% | 15.5% |
|---|---|---|---|
| 2% | $27 | $22 | $19 |
| 3% | $29 | $23 | $20 |
| 4% | $32 | $25 | $21 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=13.5%, terminal growth 3%. Fair value $23 (+0.0%). Not investment advice.
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 XSD or SLYV, the fund manager is mechanically forced to buy or sell PENG shares regardless of PENG's individual fundamentals. We estimate $105M of passive capital is structurally linked to PENG through 6 tracked ETFs. Passive flows have a limited but growing influence on PENG'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 PENG to visualize passive redemption contagion across ETFs and collateral stocks.
If PENG (PENG) 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 PENG. 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.
PENG Ownership Dynamics
ETFs with Highest PENG Exposure
Float lock-up computed from 6 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
PENG Capital Efficiency
How efficiently does PENG convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
PENG converts 89% 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 (-9.6%), 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 |
|---|---|---|---|
| 2026-05-14 | 353,385 | $48.27 | $17.1M |
| 2026-05-12 | 11,376 | $43.54 | $495,311.04 |
| 2026-05-11 | 993 | $44.23 | $43,920.39 |
| 2026-05-08 | 1,603 | $38.98 | $62,484.94 |
| 2026-05-07 | 78 | $38.99 | $3,041.22 |
| 2026-05-04 | 17,653 | $31.24 | $551,479.72 |
| 2026-05-01 | 23,524 | $30.41 | $715,364.84 |
| 2026-04-28 | 1,527 | $29.05 | $44,359.35 |
| 2026-04-27 | 5,406 | $30.69 | $165,910.14 |
| 2026-04-24 | 5,405 | $27.61 | $149,232.05 |
| 2026-04-23 | 3,443 | $27.58 | $94,957.94 |
| 2026-04-22 | 6,458 | $27.92 | $180,307.36 |
| 2026-04-20 | 4,864 | $26.74 | $130,063.36 |
| 2026-04-13 | 19,519 | $23.02 | $449,327.38 |
| 2026-04-10 | 33,754 | $22.85 | $771,278.9 |
| 2026-04-07 | 22,601 | $20.27 | $458,122.27 |
| 2026-04-06 | 65,327 | $20.69 | $1.4M |
| 2026-04-02 | 267,379 | $18.25 | $4.9M |
| 2026-04-01 | 4,195 | $17.60 | $73,832 |
| 2026-03-26 | 229 | $18.44 | $4,222.76 |
| 2026-03-23 | 1,590 | $17.52 | $27,856.8 |
| 2026-03-17 | 4,316 | $17.54 | $75,702.64 |
| 2026-03-10 | 3,216 | $18.45 | $59,335.2 |
| 2026-03-05 | 77 | $19.20 | $1,478.4 |
| 2026-03-04 | 6,642 | $18.95 | $125,865.9 |
| 2026-02-25 | 201,981 | $20.23 | $4.1M |
| 2026-02-23 | 1,467 | $19.12 | $28,049.04 |
| 2026-02-20 | 1,988 | $18.81 | $37,394.28 |
| 2026-02-19 | 21,480 | $19.24 | $413,275.2 |
| 2026-02-17 | 27,120 | $19.37 | $525,314.4 |
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 PENG 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.