Dow Inc. (DOW)
Quantitative Summary
DeterministicBelow-average fundamentals indicated by Piotroski score of 3/9; Altman Z of 1.6 falls in the academic distress zone.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of this basic materials leader present a stark divergence between historical capital efficiency and current operational distress. With an ROIC-WACC spread contracting to -9.8%, the firm is currently destroying value relative to its cost of capital, driven by negative net margins of -6.6% that outweigh modest gross margin retention at 6.3%. This deterioration is mathematically evident in a DuPont-decomposed ROE of -15.0%, where declining profitability negates any potential benefits from asset turnover or leverage, resulting in an Equity Multiplier of only 3.34x. Credit and financial health metrics further underscore this pressure; while the Beneish M-Score of -2.45 suggests earnings management is unlikely, the Altman Z-Score of 1.6 signals elevated distress risk, compounded by a negative Piotroski F-Score of 3/9 that reflects weak fundamental momentum alongside revenue contraction of -7.0% year-over-year.
Valuation metrics indicate significant compression relative to both historical norms and sector peers, as the stock trades at a P/E multiple far below the sector average of 36.1x, likely pricing in persistent earnings suppression rather than growth potential. Although discounted cash flow models would require specific assumptions regarding margin recovery to establish a fair value anchor, current market pricing appears heavily weighted toward downside scenarios given the negative Fama-French alpha of -41.69% over the annualized period. The stock exhibits a distinct factor profile: it benefits from a Value Factor (HML) tilt at 0.383 yet underperforms on the Profitability Factor (RMW), which sits low at 0.154, suggesting that while cheap relative to book value, the lack of robust profitability is actively suppressing returns in multi-factor models.
Insider activity remains neutral over the past 90 days with no significant flow detected, offering no clear signal regarding management's private view on near-term turnaround prospects. The convergence of negative alpha, a distressed Z-Score below 2.5, and shrinking revenue creates a high-risk environment where any valuation relief depends entirely on an imminent reversion to positive operating leverage before credit metrics deteriorate further. Investors must weigh the attractive value factor exposure against the substantial drag from profitability factors and the probability of continued capital destruction inherent in the negative ROIC spread.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
Price Chart with Moving Averages
Technical Setup
AI GeneratedDow Inc. currently trades at $37.74 within the Basic Materials sector, presenting a snapshot where price action sits in a defined range without immediate directional catalysts visible from this single data point. The absence of specific trend metrics or volume indicators suggests that momentum is likely fragile rather than structural; without evidence of sustained buying pressure or significant institutional accumulation, current levels may represent a temporary equilibrium susceptible to rapid shifts based on broader commodity pricing dynamics. In the context of risk dynamics, any potential move away from $37.74 would need to overcome inherent sector volatility, particularly if macroeconomic factors influence raw material costs unpredictably. The fundamental backdrop for Dow Inc. often ties closely to industrial output and global supply chain stability, meaning that short-term price fluctuations could mask deeper structural adjustments in earnings visibility. If the current valuation lacks support from widening profit margins or accelerating order books, the technical setup implies a higher probability of mean reversion rather than a breakout scenario. Investors must weigh whether this pricing level reflects a consolidation phase ahead of new information or if it signals underlying weakness that could be exacerbated by sector-specific headwinds. Ultimately, the interplay between current valuation and future cash flow expectations will determine whether any subsequent price movement represents a genuine trend initiation or merely noise within a volatile market environment.
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
Earnings Surprise History
EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.
Dividend History
| Date | Amount | Change |
|---|---|---|
| 2026-05-29 | $0.3500 | 0.0% |
| 2026-02-27 | $0.3500 | 0.0% |
| 2025-11-28 | $0.3500 | 0.0% |
| 2025-08-29 | $0.3500 | -50.0% |
| 2025-05-30 | $0.7000 | 0.0% |
| 2025-02-28 | $0.7000 | 0.0% |
| 2024-11-29 | $0.7000 | 0.0% |
| 2024-08-30 | $0.7000 | 0.0% |
| 2024-05-31 | $0.7000 | 0.0% |
| 2024-02-28 | $0.7000 | 0.0% |
| 2023-11-29 | $0.7000 | 0.0% |
| 2023-08-30 | $0.7000 | 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.
Fama-French 5-Factor Exposure
Academic factor model decomposition — what's really driving this stock's returns.
Fama-French 5-Factor Model. Data: Kenneth French Data Library. Regression over 3 years of daily returns.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like XLB or VAW, the fund manager is mechanically forced to buy or sell DOW shares regardless of Dow Inc.'s individual fundamentals. We estimate $4.0B of passive capital is structurally linked to DOW 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 Dow Inc. to visualize passive redemption contagion across ETFs and collateral stocks.
If Dow Inc. (DOW) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Linde plc (LIN) as the most exposed collateral stock, sharing 1 ETFs with DOW. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 32 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
DOW Ownership Dynamics
Passive funds hold 1 in every 6 DOW shares, reducing daily market volatility.
Dow Inc. (DOW) exerts notable gravity on the passive index market, currently representing 3.2% of the State Street Materials Select Sector SPDR ETF (XLB) and 1.8% of the VAW (VAW). Across 32 tracked ETFs, approximately 115M shares (16.0% of float) are held by passive funds and rarely trade on the open market. This level of passive ownership means index rebalances can create outsized volume events.
ETFs with Highest DOW Exposure
Float lock-up computed from 32 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
DOW 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 Dow Inc. over the past year sits near $23.64 (15% of 252-day volume). The current price of $34.72 trades 46.9% 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 (15% 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.
DOW Capital Efficiency
How efficiently does Dow Inc. convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
Dow Inc. converts -122% 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 222% reinvestment rate signals aggressive capacity expansion. However, the ROIC-WACC spread is negative (-9.1%), 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 |
|---|---|---|---|
| 2026-05-13 | 84 | $39.43 | $3,312.12 |
| 2026-05-05 | 13,820 | $40.58 | $560,815.6 |
| 2026-05-04 | 2 | $40.29 | $80.58 |
| 2026-04-30 | 1,187 | $39.55 | $46,945.85 |
| 2026-04-27 | 900 | $38.66 | $34,794 |
| 2026-04-20 | 401 | $35.60 | $14,275.6 |
| 2026-04-16 | 72 | $38.84 | $2,796.48 |
| 2026-04-15 | 6 | $39.16 | $234.96 |
| 2026-04-13 | 535 | $39.01 | $20,870.35 |
| 2026-04-06 | 1,400 | $41.40 | $57,960 |
| 2026-04-01 | 390 | $41.65 | $16,243.5 |
| 2026-03-31 | 3,085 | $41.87 | $129,168.95 |
| 2026-03-30 | 63 | $40.82 | $2,571.66 |
| 2026-03-26 | 262 | $39.62 | $10,380.44 |
| 2026-03-25 | 136 | $38.31 | $5,210.16 |
| 2026-03-24 | 285 | $36.04 | $10,271.4 |
| 2026-03-23 | 31,319 | $36.65 | $1.1M |
| 2026-03-20 | 103 | $37.49 | $3,861.47 |
| 2026-03-19 | 37 | $37.69 | $1,394.53 |
| 2026-03-17 | 3,619 | $36.00 | $130,284 |
| 2026-03-16 | 167 | $36.62 | $6,115.54 |
| 2026-03-10 | 28,363 | $34.31 | $973,134.53 |
| 2026-03-09 | 3,489 | $33.28 | $116,113.92 |
| 2026-03-06 | 1,249 | $33.72 | $42,116.28 |
| 2026-03-05 | 1,242 | $32.34 | $40,166.28 |
| 2026-03-02 | 200 | $30.73 | $6,146 |
| 2026-02-27 | 592 | $29.90 | $17,700.8 |
| 2026-02-26 | 1,397 | $30.02 | $41,937.94 |
| 2026-02-23 | 25,798 | $30.52 | $787,354.96 |
| 2026-02-17 | 766 | $32.49 | $24,887.34 |
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 | |
| LYB | 0.874 | 0.858 | High co-movement |
| CE | 0.682 | 0.719 | Moderate |
| EMN | 0.616 | 0.564 | Moderate |
| PSX | 0.537 | 0.523 | Moderate |
| MPC | 0.508 | 0.470 | Moderate |
| DOV | 0.508 | 0.425 | Moderate |
| VLO | 0.499 | 0.459 | Moderate |
| MUR | 0.498 | 0.522 | Moderate |
| DD | 0.488 | 0.287 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare DOW 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.