SSRM (SSRM)
Quantitative Summary
DeterministicStrong operational fundamentals (Piotroski 7/9) with Altman Z of 2.6.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics reveal a company generating robust profitability through exceptionally high margins, with net returns at 24.3% and gross spreads exceeding 50%, yet capital efficiency remains the primary constraint as return on invested capital of 6.6% falls short against a cost of equity requiring 10.1%. This negative spread of -3.5% indicates that current operations are destroying value relative to the required hurdle rate, despite strong top-line momentum evidenced by revenue growth accelerating at 63.7% year-over-year. While the Piotroski F-Score of 7/9 signals a healthy financial trajectory and the Beneish M-Score of -2.28 suggests low earnings manipulation risk, the Altman Z-Score hovering near 2.6 warrants monitoring for potential distress given the high leverage implied by the DuPont components necessary to sustain such margins without commensurate asset turnover or ROIC improvement.
Valuation metrics present a distinct divergence between current market pricing and intrinsic value models. Trading at a P/E of 14.2x, the stock appears compressed relative to its explosive revenue expansion, yet this multiple must be weighed against the DCF-derived fair value target of $44, which implies specific growth assumptions that may not materialize if capital allocation does not improve. The market is currently pricing in modest earnings power despite the 63.7% top-line surge, creating a scenario where future upside depends entirely on whether management can deploy working capital to close the gap between the 10.1% WACC and actual returns. Without a structural shift toward higher asset efficiency or margin expansion that justifies the current multiple, the valuation premium remains precarious regardless of the positive Piotroski indicators.
The risk/reward profile is characterized by significant upside potential contingent on operational turnaround versus the downside pressure from capital destruction inherent in the negative ROIC-WACC spread. While the low Beneish score and strong F-Score mitigate concerns regarding earnings quality or insolvency, the Altman Z-Score proximity to distress thresholds suggests that aggressive growth strategies may be straining liquidity or leverage ratios unseen in standard profitability metrics. Investors must weigh whether the 63.7% revenue acceleration is a transient anomaly or a sustainable trend capable of driving ROIC above the 10.1% cost of capital, as failure to do so would render even high margins insufficient to support long-term value creation at current prices.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 8.1% | 10.1% | 12.1% |
|---|---|---|---|
| 2% | $53 | $39 | $31 |
| 3% | $61 | $44 | $34 |
| 4% | $74 | $49 | $37 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=10.1%, terminal growth 3%. Fair value $44 (+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 VFMO or VTWO, the fund manager is mechanically forced to buy or sell SSRM shares regardless of SSRM's individual fundamentals. We estimate $52M of passive capital is structurally linked to SSRM through 4 tracked ETFs. Passive flows have a limited but growing influence on SSRM's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 4 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in SSRM to visualize passive redemption contagion across ETFs and collateral stocks.
If SSRM (SSRM) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies SAMSUNG ELECTR GDR REG S (SMSN) as the most exposed collateral stock, sharing 1 ETFs with SSRM. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 4 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
SSRM Ownership Dynamics
ETFs with Highest SSRM Exposure
Float lock-up computed from 4 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
SSRM Capital Efficiency
How efficiently does SSRM convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
SSRM converts 42% of its EBITDA into free cash flow, a healthy conversion rate indicating efficient capital management — the business generates substantial cash after reinvestment. The 58% reinvestment rate signals aggressive capacity expansion. However, the ROIC-WACC spread is negative (-3.5%), 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 | 1,000 | $34.75 | $34,750 |
| 2026-05-13 | 612 | $35.74 | $21,872.88 |
| 2026-05-07 | 12,514 | $32.62 | $408,206.68 |
| 2026-05-05 | 69,608 | $28.34 | $2.0M |
| 2026-05-04 | 41,615 | $29.19 | $1.2M |
| 2026-04-29 | 49 | $29.23 | $1,432.27 |
| 2026-04-27 | 17,918 | $30.55 | $547,394.9 |
| 2026-04-22 | 164 | $29.87 | $4,898.68 |
| 2026-04-20 | 873 | $31.75 | $27,717.75 |
| 2026-04-15 | 70,385 | $32.84 | $2.3M |
| 2026-04-14 | 30 | $32.06 | $961.8 |
| 2026-04-13 | 73,193 | $33.13 | $2.4M |
| 2026-04-10 | 5,765 | $33.41 | $192,608.65 |
| 2026-04-06 | 8,883 | $31.58 | $280,525.14 |
| 2026-04-01 | 79 | $29.40 | $2,322.6 |
| 2026-03-31 | 43 | $26.21 | $1,127.03 |
| 2026-03-30 | 43 | $26.45 | $1,137.35 |
| 2026-03-27 | 52,993 | $24.66 | $1.3M |
| 2026-03-26 | 2,432 | $26.08 | $63,426.56 |
| 2026-03-24 | 1,000 | $24.27 | $24,270 |
| 2026-03-23 | 810,400 | $22.99 | $18.6M |
| 2026-03-18 | 69,416 | $28.26 | $2.0M |
| 2026-03-17 | 69,116 | $28.40 | $2.0M |
| 2026-03-16 | 18,144 | $28.18 | $511,297.92 |
| 2026-03-05 | 286 | $33.26 | $9,512.36 |
| 2026-03-03 | 4,239 | $31.94 | $135,393.66 |
| 2026-02-24 | 370 | $30.30 | $11,211 |
| 2026-02-23 | 7,585 | $30.46 | $231,039.1 |
| 2026-02-20 | 9,392 | $29.11 | $273,401.12 |
| 2026-02-17 | 6,667 | $28.11 | $187,409.37 |
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 SSRM 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.