WDS (WDS)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 4/9.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe capital efficiency profile reveals a significant divergence between return on invested capital and equity returns, with an ROIC of 5.3% that appears insufficient to justify the leverage-driven expansion of shareholder yield seen in the DuPont decomposition. The 6.8% return on equity is mechanically sustained by an equity multiplier of 1.67x rather than organic operational momentum, as evidenced by a declining revenue trajectory of -1.5% year-over-year despite robust profitability metrics including a net margin of 20.9% and gross margin of 34.9%. This structural reliance on leverage to offset stagnating top-line growth is corroborated by the Piotroski F-Score of 4/9, which signals moderate financial distress or deteriorating fundamentals when compared against historical stability benchmarks typically associated with high-quality compounders.
Valuation metrics present a complex picture where the current price-to-earnings multiple of 16.6x sits at a premium relative to earnings quality given the negative revenue trend and sub-par ROIC spread. While the elevated net margins suggest strong pricing power or cost discipline, the market appears to be pricing in future operational turnaround potential that has not yet materialized, as indicated by the shrinking asset turnover ratio of 0.20x. The combination of a declining top line with static profitability implies that current valuations may be detached from underlying cash flow generation capabilities unless significant margin expansion or volume recovery occurs soon.
The Beneish M-Score of -2.98 indicates low probability of earnings manipulation, suggesting the reported financials are likely authentic despite the concerning growth dynamics. However, the interaction between a solid F-score and weak revenue trends creates an ambiguous risk-reward profile where downside protection from fundamental transparency exists alongside limited upside catalysts absent clear inflection points in sales velocity or asset utilization efficiency.
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
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 VPL or VYMI, the fund manager is mechanically forced to buy or sell WDS shares regardless of WDS's individual fundamentals. We estimate $1.3B of passive capital is structurally linked to WDS through 8 tracked ETFs. Index rebalances and ETF creation/redemption cycles can create noticeable volume spikes unrelated to company news.
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 WDS to visualize passive redemption contagion across ETFs and collateral stocks.
If WDS (WDS) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Samsung Electronics Co. Ltd. (005930) as the most exposed collateral stock, sharing 2 ETFs with WDS. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 8 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
WDS Ownership Dynamics
ETFs with Highest WDS Exposure
Float lock-up computed from 8 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
WDS Capital Efficiency
How efficiently does WDS convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
WDS converts -8% 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 108% reinvestment rate signals aggressive capacity expansion.
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 | 37 | $22.45 | $830.65 |
| 2026-05-11 | 11,451 | $21.57 | $246,998.07 |
| 2026-05-08 | 8,440 | $21.91 | $184,920.4 |
| 2026-05-07 | 4,682 | $22.42 | $104,970.44 |
| 2026-05-05 | 16,972 | $23.46 | $398,163.12 |
| 2026-05-04 | 150 | $23.53 | $3,529.5 |
| 2026-05-01 | 8,119 | $23.85 | $193,638.15 |
| 2026-04-30 | 9,719 | $24.00 | $233,256 |
| 2026-04-29 | 10,719 | $23.26 | $249,323.94 |
| 2026-04-28 | 12,643 | $23.12 | $292,306.16 |
| 2026-04-27 | 12,520 | $23.04 | $288,460.8 |
| 2026-04-24 | 8,725 | $23.03 | $200,936.75 |
| 2026-04-22 | 138 | $22.74 | $3,138.12 |
| 2026-04-17 | 3,324 | $23.85 | $79,277.4 |
| 2026-04-16 | 25,987 | $23.58 | $612,773.46 |
| 2026-04-10 | 1,225 | $23.37 | $28,628.25 |
| 2026-04-09 | 5,532 | $23.63 | $130,721.16 |
| 2026-04-08 | 167 | $24.68 | $4,121.56 |
| 2026-04-07 | 14,599 | $24.41 | $356,361.59 |
| 2026-04-06 | 32,982 | $24.23 | $799,153.86 |
| 2026-04-02 | 36,045 | $23.68 | $853,545.6 |
| 2026-04-01 | 10,826 | $23.88 | $258,524.88 |
| 2026-03-31 | 12,547 | $24.27 | $304,515.69 |
| 2026-03-30 | 20,448 | $24.78 | $506,701.44 |
| 2026-03-27 | 13,622 | $23.82 | $324,476.04 |
| 2026-03-26 | 1,294 | $23.66 | $30,616.04 |
| 2026-03-25 | 7,870 | $24.34 | $191,555.8 |
| 2026-03-24 | 15,034 | $23.74 | $356,907.16 |
| 2026-03-23 | 9,407 | $24.14 | $227,084.98 |
| 2026-03-20 | 81,829 | $24.47 | $2.0M |
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 WDS 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.