POST (POST)
Quantitative Summary
DeterministicBelow-average fundamentals indicated by Piotroski score of 3/9; Altman Z of 1.4 falls in the academic distress zone.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of POST reveal a capital allocation challenge, as the return on invested capital sits at 5.2%, falling short of the estimated cost of equity to generate value with an ROIC-WACC spread of -0.8%. This negative spread suggests that current operations are not creating intrinsic wealth relative to their financing costs. The DuPont decomposition highlights a margin-driven profitability model, where net margins of 4.1% and gross margins of 28.7% support the returns, yet these thin spreads limit upside potential even if turnover remains stable. Financial health indicators present a mixed signal; while the Beneish M-Score of -2.47 indicates low earnings manipulation risk, the Altman Z-Score of 1.4 flags moderate distress territory, and the Piotroski F-Score of 3/9 reflects weak financial strength or deteriorating fundamentals compared to industry peers.
Valuation metrics suggest a market price that may be disconnected from intrinsic value estimates derived from discounted cash flow models. With a current P/E ratio of 17.6x, the stock trades at a premium relative to its implied growth rate and historical averages if those benchmarks are lower than this multiple, although specific sector comparisons were not provided in the data set. The DCF fair value calculation implies a target price of $375; comparing this figure directly against the current market capitalization would determine whether the security is trading at a discount or premium to its calculated intrinsic worth. Investors must weigh whether the 17.6x multiple adequately compensates for the negative ROIC spread and the moderate distress signals inherent in the Altman score, particularly given the modest revenue growth of only 3% year-over-year which constrains future cash flow expansion assumptions used in such valuations.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 6% | 6% | 8% |
|---|---|---|---|
| 2% | $270 | $270 | $148 |
| 3% | $375 | $375 | $187 |
| 4% | $586 | $586 | $246 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=6.0%, terminal growth 3%. Fair value $375 (+0.0%). Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
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 VDC or MDYV, the fund manager is mechanically forced to buy or sell POST shares regardless of POST's individual fundamentals. We estimate $109M of passive capital is structurally linked to POST through 8 tracked ETFs. Passive flows have a limited but growing influence on POST'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 POST to visualize passive redemption contagion across ETFs and collateral stocks.
If POST (POST) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Walmart Inc. (WMT) as the most exposed collateral stock, sharing 1 ETFs with POST. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 10 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
POST Ownership Dynamics
ETFs with Highest POST Exposure
Float lock-up computed from 11 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
POST Capital Efficiency
How efficiently does POST convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
POST converts 37% of its EBITDA into free cash flow, a moderate conversion rate — significant EBITDA is consumed by capital expenditures, working capital changes, or interest payments. The 63% reinvestment rate signals aggressive capacity expansion. However, the ROIC-WACC spread is negative (-0.8%), 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 | 9,982 | $104.31 | $1.0M |
| 2026-05-13 | 113 | $102.75 | $11,610.75 |
| 2026-05-07 | 2,929 | $103.74 | $303,854.46 |
| 2026-05-05 | 1,222 | $103.84 | $126,892.48 |
| 2026-05-04 | 362 | $103.40 | $37,430.8 |
| 2026-05-01 | 30 | $104.75 | $3,142.5 |
| 2026-04-30 | 365 | $102.05 | $37,248.25 |
| 2026-04-29 | 12 | $103.11 | $1,237.32 |
| 2026-04-28 | 462 | $103.81 | $47,960.22 |
| 2026-04-24 | 4 | $104.64 | $418.56 |
| 2026-04-23 | 21 | $104.23 | $2,188.83 |
| 2026-04-20 | 13,080 | $101.59 | $1.3M |
| 2026-04-14 | 3,900 | $99.86 | $389,454 |
| 2026-04-13 | 3,900 | $101.02 | $393,978 |
| 2026-04-09 | 7,299 | $101.54 | $741,140.46 |
| 2026-04-06 | 830 | $100.32 | $83,265.6 |
| 2026-04-02 | 25,847 | $97.23 | $2.5M |
| 2026-04-01 | 38,939 | $98.86 | $3.8M |
| 2026-03-31 | 17,755 | $97.20 | $1.7M |
| 2026-03-26 | 9,035 | $97.21 | $878,292.35 |
| 2026-03-24 | 2,803 | $97.35 | $272,872.05 |
| 2026-03-23 | 1 | $96.72 | $96.72 |
| 2026-03-20 | 1,374 | $97.41 | $133,841.34 |
| 2026-03-17 | 7,450 | $97.68 | $727,716 |
| 2026-03-13 | 6,429 | $97.75 | $628,434.75 |
| 2026-03-12 | 16,801 | $101.63 | $1.7M |
| 2026-03-11 | 7,815 | $104.06 | $813,228.9 |
| 2026-03-10 | 152 | $105.43 | $16,025.36 |
| 2026-03-09 | 28 | $105.55 | $2,955.4 |
| 2026-03-03 | 4,899 | $106.65 | $522,478.35 |
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.
Compare POST 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.