POWI (POWI)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 6/9, Altman Z 20.7. DCF fair value of $23 implies 57% downside based on model assumptions.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe company exhibits a stark divergence between its operational cash generation efficiency and its market valuation multiples. While the Piotroski F-Score of 6/9 suggests moderate financial strength and the Beneish M-Score of -3.37 indicates low likelihood of earnings manipulation, the core economic engine is underperforming with an ROIC of only 1.1%. This return falls significantly below typical cost of capital thresholds, implying that current operations are not creating value for shareholders despite a robust gross margin expansion to 54.5% and steady revenue growth of 5.9%. The DuPont drivers appear skewed toward leverage or asset turnover rather than margin improvement given the low net margin of 5.0%, resulting in an Altman Z-Score of 20.7 that, while mathematically high relative to bankruptcy thresholds, reflects a capital structure where equity returns are heavily leveraged against weak underlying profitability.
Valuation metrics present a significant disconnect between historical norms and current pricing. The stock trades at a P/E ratio of 150.4x, which sits approximately 16% below its five-year average of 165.5x, suggesting the market has not yet fully repriced recent earnings deterioration or growth deceleration. However, this apparent discount is negated by fundamental valuation models; a DCF analysis places fair value at $23, implying a substantial downside risk rather than opportunity. This discrepancy arises because the model assumes an aggressive ten-year free cash flow growth rate of 14.0%, which appears inconsistent with the observed low ROIC and single-digit net margins. Consequently, current pricing seems to embed expectations for sustained high-growth execution that the underlying capital efficiency metrics do not currently support.
The risk profile is further complicated by the tension between a seemingly stable balance sheet indicated by the Altman score and the precarious nature of generating returns on invested capital at just 1.1%. Investors must weigh whether the low P/E relative to history represents a genuine mean reversion or a trap set by unsustainable growth assumptions baked into the DCF fair value calculation. The data suggests that while historical multiples have contracted, the fundamental inability to generate superior returns on equity creates a challenging environment for capital appreciation unless operational efficiency improves dramatically in coming quarters.
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 6% YoY revenue.
Sensitivity Matrix
| TG ↓ / WACC → | 8% | 10% | 12% |
|---|---|---|---|
| 2% | $27 | $21 | $17 |
| 3% | $31 | $23 | $18 |
| 4% | $37 | $25 | $19 |
Center = base case. Green = >10% upside, Red = >10% downside vs $84.19.
Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $23 (-57.5%). 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.
Dividend History
| Date | Amount | Change |
|---|---|---|
| 2026-05-29 | $0.2150 | 0.0% |
| 2026-02-27 | $0.2150 | +2.4% |
| 2025-11-28 | $0.2100 | 0.0% |
| 2025-08-29 | $0.2100 | 0.0% |
| 2025-05-30 | $0.2100 | 0.0% |
| 2025-02-28 | $0.2100 | 0.0% |
| 2024-11-29 | $0.2100 | +5.0% |
| 2024-08-30 | $0.2000 | 0.0% |
| 2024-05-31 | $0.2000 | 0.0% |
| 2024-02-28 | $0.2000 | 0.0% |
| 2023-11-29 | $0.2000 | +5.3% |
| 2023-08-30 | $0.1900 | 0.0% |
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 XSD or SLYV, the fund manager is mechanically forced to buy or sell POWI shares regardless of POWI's individual fundamentals. We estimate $259M of passive capital is structurally linked to POWI through 8 tracked ETFs. Passive flows have a limited but growing influence on POWI's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 8 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in POWI to visualize passive redemption contagion across ETFs and collateral stocks.
If POWI (POWI) 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 POWI. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 9 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
POWI Ownership Dynamics
Passive funds hold 1 in every 13 POWI shares, reducing daily market volatility.
POWI (POWI) exerts measurable gravity on the passive index market, currently representing 2.4% of the XSD (XSD) and 0.5% of the SLYV (SLYV). Across 9 tracked ETFs, approximately 4M shares (7.9% 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 POWI Exposure
Float lock-up computed from 9 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
POWI 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 POWI over the past year sits near $46.61 (20% of 252-day volume). The current price of $84.19 trades 80.6% 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 (20% 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.
POWI Capital Efficiency
How efficiently does POWI convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
POWI converts 228% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag.
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 | 6,882 | $71.15 | $489,654.3 |
| 2026-05-12 | 60 | $74.34 | $4,460.4 |
| 2026-05-07 | 120 | $78.23 | $9,387.6 |
| 2026-04-27 | 475 | $73.54 | $34,931.5 |
| 2026-04-24 | 62,369 | $72.63 | $4.5M |
| 2026-04-23 | 226 | $71.73 | $16,210.98 |
| 2026-04-21 | 4,555 | $61.83 | $281,635.65 |
| 2026-04-20 | 551 | $58.65 | $32,316.15 |
| 2026-04-13 | 97 | $54.53 | $5,289.41 |
| 2026-04-10 | 46,460 | $54.54 | $2.5M |
| 2026-04-08 | 13 | $51.61 | $670.93 |
| 2026-04-07 | 62,754 | $51.44 | $3.2M |
| 2026-04-06 | 26,154 | $52.37 | $1.4M |
| 2026-04-01 | 1,345 | $51.20 | $68,864 |
| 2026-03-31 | 278 | $47.88 | $13,310.64 |
| 2026-03-30 | 422 | $49.50 | $20,889 |
| 2026-03-27 | 21 | $50.05 | $1,051.05 |
| 2026-03-26 | 2,301 | $51.99 | $119,628.99 |
| 2026-03-24 | 105 | $47.58 | $4,995.9 |
| 2026-03-23 | 34 | $46.45 | $1,579.3 |
| 2026-03-18 | 991 | $47.63 | $47,201.33 |
| 2026-03-16 | 5,107 | $47.45 | $242,327.15 |
| 2026-03-13 | 7,575 | $46.35 | $351,101.25 |
| 2026-03-12 | 11 | $46.85 | $515.35 |
| 2026-03-06 | 7 | $47.81 | $334.67 |
| 2026-03-04 | 942 | $48.00 | $45,216 |
| 2026-03-03 | 1,609 | $50.24 | $80,836.16 |
| 2026-02-27 | 890 | $48.46 | $43,129.4 |
| 2026-02-26 | 33 | $48.66 | $1,605.78 |
| 2026-02-13 | 3,715 | $46.69 | $173,453.35 |
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 | |
| NXPI | 0.640 | 0.578 | Moderate |
| NL0009538784 | 0.637 | 0.573 | Moderate |
| ADI | 0.605 | 0.584 | Moderate |
| MCHP | 0.599 | 0.600 | Moderate |
| ON | 0.589 | 0.620 | Moderate |
| MPWR | 0.580 | 0.567 | Moderate |
| SWKS | 0.528 | 0.491 | Moderate |
| SWK | 0.523 | 0.407 | Moderate |
| CRUS | 0.516 | 0.473 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare POWI 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.