NA (NA)

$68M
Market Cap
3.6
P/E Ratio
6.30
Beta
Dividend Yield
Piotroski 5/9Altman Z -1.4 DistressBeneish M -4.21 CleanROIC−WACC -37.0%

Quantitative Summary

Deterministic

Financial health is average: Piotroski 5/9, Altman Z -1.4.

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

Algorithmic Teardown

AI-Generated

The fundamental economics of the entity reveal a severe deterioration in capital allocation efficiency, evidenced by an ROIC-WACC spread of -37.0%, indicating that operations are actively destroying value relative to the cost of capital. This negative return is driven primarily by catastrophic margin compression rather than operational inefficiency; while asset turnover remains modest at 0.07x and leverage sits at a manageable 2.64x, the net margin has collapsed to -278.8%, dragging total ROE into negative territory at -48.6%. Although the Piotroski F-Score of 5/9 suggests some underlying financial stability persists compared to distressed peers, the Altman Z-Score of -1.4 signals a heightened probability of bankruptcy, creating significant uncertainty regarding the firm's solvency horizon despite the benign Beneish M-Score of -4.21 which currently lacks red flags for earnings manipulation.

Valuation metrics present an anomalous compression that appears disconnected from the underlying operational reality. The current P/E ratio of 3.6x sits at a level typically reserved for distressed or turnaround situations, yet it fails to reflect the severity implied by the -48.2% revenue contraction and negative net income. While this low multiple might superficially suggest deep value, standard DCF models would likely yield a negative fair value given the persistent cash burn and lack of growth visibility. The market pricing appears to be heavily discounted based on fundamental deterioration rather than anticipating a robust recovery, as the current valuation does not account for the substantial risk premium demanded by the negative Z-Score and shrinking top line.

The convergence of declining revenue, massive net losses, and a negative Altman score creates an asymmetric risk profile where potential upside is capped by solvency concerns while downside exposure remains significant. The divergence between the moderate Piotroski score and the deeply distressed operational metrics suggests that historical financial strength may not be sufficient to offset current trajectory risks without substantial strategic intervention or balance sheet restructuring. Investors must weigh whether the depressed valuation adequately compensates for the high probability of further contraction versus any potential catalysts that could reverse the negative ROIC trend, noting that the absence of sector data limits a precise peer comparison but does not mitigate the internal fundamental warnings presented by the financial statements.

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

5/9
Piotroski F-Score
Average — mixed operational signals
-1.4
Altman Z-Score
Distress Zone — below 1.8 threshold per academic model. Thresholds: >3 safe, 1.8–3 grey, <1.8 distress.
-4.21
Beneish M-Score
Below threshold — no statistical earnings quality concern per Beneish model. Threshold: <-2.22 = below threshold.

Profitability & Value Creation

28.6%
Gross Margin
-278.8%
Net Margin
-21.9%
ROIC
15.1%
WACC
ROIC − WACC Spread: -37.0%— Negative spread.
-48.2%
Revenue Growth (YoY)
+55.2%
Earnings Growth (YoY)
-175.7M
Free Cash Flow

DuPont Analysis — ROE Decomposition

Breaking down Return on Equity to see how the company generates its ROE — efficiency, margins, or leverage.

-278.8%
Net Profit Margin
NI ÷ Revenue
×
0.07x
Asset Turnover
Revenue ÷ Assets
×
2.64x
Equity Multiplier
Assets ÷ Equity
=
-48.6%
Return on Equity
Balanced ROE composition across margins, turnover, and leverage.

Balance Sheet Health

1.64x
Debt / Equity
1.75x
Current Ratio
-16.3x
Interest Coverage
-85.01%
FCF Yield
-101.0M
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
0.76
Price/Book
52609
Avg Volume
$31.48
52W High
$2.74
52W Low
52W Range Position

Passive Flow Attribution

ETF Draft Effect
$1.8B
Tracked Passive Exposure
8
ETFs Holding NA
0.15%
Avg Weight in ETFs
$1.2T
Total ETF AUM

When investors buy or sell ETFs like VIGI or VYMI, the fund manager is mechanically forced to buy or sell NA shares regardless of NA's individual fundamentals. We estimate $1.8B of passive capital is structurally linked to NA 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 NA to visualize passive redemption contagion across ETFs and collateral stocks.

NA Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
NAEpicenterVXUSETFVEAETFVEUETFRYHigh RiskNESNUnknownNOVNUnknownROPMed Risk8306Unknown
NA Price Drop (%)0

If NA (NA) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Royal Bank of Canada (RY) as the most exposed collateral stock, sharing 3 ETFs with NA. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.

Contagion model based on shared ETF exposure and constituent weights across 9 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.

NA Ownership Dynamics

Ticker
NA

Float lock-up computed from 9 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
2026-05-1412,201$2.58$31,478.58
2026-05-131,072$2.17$2,326.24
2026-05-1233,819$2.04$68,990.76
2026-05-1126,000$1.65$42,900
2026-05-089,497$2.07$19,658.79
2026-05-071,525$2.08$3,172
2026-05-0613,144$2.11$27,733.84
2026-05-05160$2.05$328
2026-05-046,314$1.81$11,428.34
2026-05-0113,076$1.77$23,144.52
2026-04-306,193$1.61$9,970.73
2026-04-2926,751$1.80$48,151.8
2026-04-28960$1.85$1,776
2026-04-27623$2.21$1,376.83
2026-04-242,291$2.41$5,521.31
2026-04-224,866$2.43$11,824.38
2026-04-212,276$2.39$5,439.64
2026-04-208$2.77$22.16
2026-04-164,937$3.03$14,959.11
2026-04-141,304$3.04$3,964.16
2026-04-13238$3.07$730.66
2026-04-094$2.93$11.72
2026-04-081,165$2.95$3,436.75
2026-04-07744$2.95$2,194.8
2026-04-0630$2.96$88.8
2026-04-0255$2.96$162.8
2026-04-015,644$2.96$16,706.24
2026-03-314,550$2.95$13,422.5
2026-03-301,555$2.87$4,462.85
2026-03-2769$2.95$203.55

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 NA 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.