SLMT (SLMT)

Market Cap
P/E Ratio
Beta
Dividend Yield
Piotroski 6/9Beneish M -1.75 Flag (> −2.22)

Quantitative Summary

Deterministic

Financial health is average: Piotroski 6/9. Beneish M-Score of -1.75 exceeds the -2.22 academic threshold — earnings quality may warrant further review.

Generated deterministically from quant metrics and financial statements. Not a recommendation.

Algorithmic Teardown

AI-Generated

The fundamental economics present a stark dichotomy between aggressive top-line expansion and severe profitability erosion. While revenue growth accelerates at 151.5% year-over-year, the resulting net margin of -153.4% indicates that operating expenses are consuming all incremental sales alongside existing operations, driving ROIC to a negative 67.2%. This disconnect suggests the current valuation relies entirely on future margin expansion rather than current cash generation. Despite this distress signal in profitability metrics, the Piotroski F-Score of 6/9 and Beneish M-Score of -1.75 imply that management is executing operational improvements without significant evidence of earnings manipulation, though the negative leverage component of DuPont ROE decomposition remains obscured by the absence of explicit equity data.

Valuation analysis becomes difficult given the lack of sector benchmarks or historical P/E context for a company with such volatile earnings, but the implied growth required to justify current multiples would be exceptionally high relative to the -67.2% return on invested capital. The market appears to be pricing in an immediate and substantial normalization of margins, assuming that the 92.3% gross margin is sustainable and will eventually translate into net income as fixed costs are amortized over this rapid revenue base. Without a DCF fair value calculation or specific implied growth rate provided, it remains unclear whether current prices reflect a speculative bet on operational leverage kicking in or an overvaluation of transient top-line momentum.

The risk/reward profile is heavily skewed by the negative ROIC and deep net losses, which typically trigger downside risks under standard Fama-French factor models for distressed firms. However, the strong Piotroski score provides a counter-narrative that the business model itself may be sound despite current accounting headwinds. Investors must weigh whether the 151.5% revenue surge represents a temporary anomaly or the start of a structural shift capable of restoring profitability within a single fiscal cycle, as any failure to turn positive net margins would likely invalidate the current market premium entirely.

Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.

Price Chart with Moving Averages

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SMA 50 SMA 200

Quant Health Deep Dive

6/9
Piotroski F-Score
Average — mixed operational signals
-1.75
Beneish M-Score
Above threshold — earnings quality may warrant further review per Beneish model. Threshold: <-2.22 = below threshold.

Profitability & Value Creation

92.3%
Gross Margin
-153.4%
Net Margin
-67.2%
ROIC
+151.5%
Revenue Growth (YoY)
+0.3%
Earnings Growth (YoY)
-3.3M
Free Cash Flow

Balance Sheet Health

1.65x
Debt / Equity
0.70x
Current Ratio
-69.1x
Interest Coverage
-4.4M
EBITDA

Underwater (Drawdown from Peak)

How far below the all-time high the price has been over time. Deeper = more pain for holders.

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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.

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Rolling Beta Market (β = 1.0)

Fundamentals

Forward P/E
PEG Ratio
Price/Book
Avg Volume
52W High
52W Low
52W Range Position

ETF Contagion Visualizer

Simulate a price drop in SLMT to visualize passive redemption contagion across ETFs and collateral stocks.

SLMT Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
SLMTEpicenterARKFETFSHOPLow RiskCOINLow RiskHOODHigh RiskPLTRLow RiskTOSTLow Risk
SLMT Price Drop (%)0

If SLMT (SLMT) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies SHOPIFY INC - CLASS A (SHOP) as the most exposed collateral stock, sharing 1 ETFs with SLMT. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.

Contagion model based on shared ETF exposure and constituent weights across 1 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.

SLMT Ownership Dynamics

Ticker
SLMT

ETFs with Highest SLMT Exposure

Float lock-up computed from 3 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).

Fails-to-Deliver (FTD) History

SEC-reported settlement failures. Elevated FTDs can indicate high short-selling pressure, operational settlement issues, or naked shorting activity.

DateFailed SharesClose PriceNotional Value
2026-05-1213,067$0.65$8,493.55
2026-05-1111,545$0.65$7,504.25
2026-05-0878,070$0.66$51,526.2
2026-05-064,772$0.73$3,483.56
2026-04-2920,275$0.75$15,206.25
2026-04-2823,878$0.77$18,386.06
2026-04-23209$0.81$169.29
2026-04-215,848,595$0.93$5.4M
2026-04-20554$0.94$520.76
2026-04-10408$0.77$314.16
2026-04-0910,883$0.83$9,032.89
2026-04-0729,969$0.86$25,773.34
2026-04-0632,493$0.84$27,294.12
2026-04-0210,941$0.78$8,533.98
2026-04-0151,914$0.78$40,492.92
2026-03-319,762$0.69$6,735.78
2026-03-273,969$0.82$3,254.58
2026-03-2610,939$0.87$9,516.93
2026-03-251,693$0.85$1,439.05
2026-03-2333,227$0.78$25,917.06
2026-03-2026,756$0.79$21,137.24
2026-03-1911,078$0.88$9,748.64
2026-03-1817,622$0.97$17,093.34
2026-03-177,781$0.96$7,469.76
2026-03-1610,881$0.94$10,228.14
2026-03-139,402$0.90$8,461.8
2026-03-1234,816$0.99$34,467.84
2026-03-1139,509$1.10$43,459.9
2026-03-09982$1.10$1,080.2
2026-03-06982$1.26$1,237.32

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 SLMT 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.