WMS (WMS)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 5/9, Altman Z 5.6. DCF fair value of $97 implies 36% downside based on model assumptions.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe capital allocation efficiency and operational leverage of WMS present a mixed fundamental profile characterized by strong profitability metrics juxtaposed with stagnant top-line expansion. The company generates an ROIC-WACC spread of 4.0%, indicating that it creates value above its cost of capital, supported by robust margins where net returns sit at 15.5% and gross returns reach 37.7%. However, the DuPont decomposition reveals a disconnect between margin quality and growth velocity; while profitability is high, revenue growth has decelerated to merely 1.0% year-over-year, suggesting that current ROE drivers rely heavily on operational leverage rather than market share gains or pricing power. Creditworthiness appears stable with an Altman Z-Score of 5.6 and a low Beneish M-Score of -2.54 signaling minimal earnings manipulation risk, yet the Piotroski F-Score of 5/9 indicates moderate financial strength without recent significant improvements in leverage or asset turnover.
Valuation metrics suggest the market is pricing in growth expectations that appear misaligned with current cash flow generation capabilities relative to intrinsic value models. Trading at a multiple of 24.8x, which sits virtually flat against its five-year average of 24.9x, implies investor consensus expects continued stability rather than acceleration. This premium valuation contrasts sharply with the DCF-derived fair value estimate of $97, which reflects an implied ten-year free cash flow growth rate of only 21.2% and suggests a potential discount of approximately -35.9%. The divergence between the current multiple anchored in historical norms and the lower intrinsic value indicates that either future growth assumptions must significantly exceed recent performance or the market is compensating for risks not captured in the static DCF model, creating a scenario where price sensitivity to earnings revisions could be heightened if growth fails to materialize as anticipated.
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 1% YoY revenue.
Sensitivity Matrix
| TG ↓ / WACC → | 10.3% | 12.3% | 14.3% |
|---|---|---|---|
| 2% | $116 | $89 | $72 |
| 3% | $130 | $97 | $77 |
| 4% | $148 | $108 | $83 |
Center = base case. Green = >10% upside, Red = >10% downside vs $135.66.
Pre-computed DCF: WACC=12.3%, terminal growth 3%. Fair value $97 (-35.9%). 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 |
|---|---|---|
| 2026-06-01 | $0.2000 | +11.1% |
| 2026-03-02 | $0.1800 | 0.0% |
| 2025-12-01 | $0.1800 | 0.0% |
| 2025-08-29 | $0.1800 | 0.0% |
| 2025-05-30 | $0.1800 | +12.5% |
| 2025-02-28 | $0.1600 | 0.0% |
| 2024-12-02 | $0.1600 | 0.0% |
| 2024-08-30 | $0.1600 | 0.0% |
| 2024-05-31 | $0.1600 | +14.3% |
| 2024-02-29 | $0.1400 | 0.0% |
| 2023-11-30 | $0.1400 | 0.0% |
| 2023-08-31 | $0.1400 | 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 XHB or VBK, the fund manager is mechanically forced to buy or sell WMS shares regardless of WMS's individual fundamentals. We estimate $755M of passive capital is structurally linked to WMS through 8 tracked ETFs. Passive flows have a limited but growing influence on WMS'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 WMS to visualize passive redemption contagion across ETFs and collateral stocks.
If WMS (WMS) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies TOPBUILD CORP (BLD) as the most exposed collateral stock, sharing 3 ETFs with WMS. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 16 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
WMS Ownership Dynamics
Passive funds hold 1 in every 14 WMS shares, reducing daily market volatility.
WMS (WMS) exerts measurable gravity on the passive index market, currently representing 3.3% of the XHB (XHB) and 0.3% of the VBK (VBK). Across 16 tracked ETFs, approximately 6M shares (7.2% 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 WMS Exposure
Float lock-up computed from 16 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
WMS 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 WMS over the past year sits near $140.09 (16% of 252-day volume). The current price of $135.66 sits 3.2% below the POC — suggesting potential mean-reversion upside if institutional demand reasserts at this level. The highly concentrated volume profile (16% 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.
WMS Capital Efficiency
How efficiently does WMS convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
WMS converts 43% of its EBITDA into free cash flow, a healthy conversion rate indicating efficient capital management — the business generates substantial cash after reinvestment. The 57% reinvestment rate signals aggressive capacity expansion. The positive ROIC-WACC spread of 4.0% 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 |
|---|---|---|---|
| 2026-04-30 | 11,863 | $146.41 | $1.7M |
| 2026-04-24 | 9,872 | $153.02 | $1.5M |
| 2026-04-20 | 15 | $153.37 | $2,300.55 |
| 2026-04-17 | 1,183 | $144.32 | $170,730.56 |
| 2026-04-16 | 172 | $147.75 | $25,413 |
| 2026-04-14 | 340 | $152.05 | $51,697 |
| 2026-04-09 | 23 | $147.42 | $3,390.66 |
| 2026-04-02 | 430 | $137.00 | $58,910 |
| 2026-04-01 | 600 | $137.13 | $82,278 |
| 2026-03-31 | 15,101 | $131.46 | $2.0M |
| 2026-03-19 | 1,325 | $135.39 | $179,391.75 |
| 2026-03-18 | 1,233 | $139.85 | $172,435.05 |
| 2026-03-10 | 3,786 | $149.90 | $567,521.4 |
| 2026-03-04 | 71 | $162.21 | $11,516.91 |
| 2026-03-03 | 4,843 | $168.33 | $815,222.19 |
| 2026-02-23 | 294 | $170.61 | $50,159.34 |
| 2026-02-19 | 2,459 | $169.95 | $417,907.05 |
| 2026-02-09 | 436 | $175.38 | $76,465.68 |
| 2026-02-06 | 62 | $170.03 | $10,541.86 |
| 2026-01-09 | 11 | $151.61 | $1,667.71 |
| 2026-01-08 | 30 | $148.23 | $4,446.9 |
| 2025-12-22 | 342 | $148.51 | $50,790.42 |
| 2025-12-19 | 12 | $146.85 | $1,762.2 |
| 2025-12-16 | 31 | $148.33 | $4,598.23 |
| 2025-12-15 | 766 | $149.67 | $114,647.22 |
| 2025-12-03 | 17,388 | $151.78 | $2.6M |
| 2025-11-13 | 2,221 | $150.85 | $335,037.85 |
| 2025-11-12 | 2,221 | $147.85 | $328,374.85 |
| 2025-11-10 | 50 | $148.02 | $7,401 |
| 2025-11-07 | 29,571 | $146.58 | $4.3M |
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 | |
| IBP | 0.726 | 0.627 | High co-movement |
| PH | 0.679 | 0.683 | Moderate |
| CRH | 0.645 | 0.575 | Moderate |
| BLD | 0.620 | 0.613 | Moderate |
| NDSN | 0.612 | 0.552 | Moderate |
| SWK | 0.611 | 0.560 | Moderate |
| BLDR | 0.604 | 0.563 | Moderate |
| MAS | 0.586 | 0.576 | Moderate |
| TOL | 0.580 | 0.650 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare WMS 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.