NYT (NYT)

$13.5B
Market Cap
39.9
P/E Ratio
1.11
Beta
1.11%
Dividend Yield
Piotroski 8/9Altman Z 11.3 SafeBeneish M -2.73 CleanROIC−WACC +3.7%

Quantitative Summary

Deterministic

Financial health metrics are strong: Piotroski 8/9, Altman Z 11.3 (above 3.0 safe zone threshold).

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

Algorithmic Teardown

AI-Generated

The fundamental economics of the entity demonstrate robust capital efficiency, evidenced by a return on invested capital significantly exceeding its weighted average cost of capital. This 3.7% spread indicates value creation that outpaces financing costs, underpinned by an exceptionally strong Piotroski F-Score of 8 and an Altman Z-Score of 11.3, which collectively signal high financial health with minimal distress risk. The return on equity is primarily driven by superior operational leverage rather than balance sheet magnification; a net margin of 12.2% combined with a gross margin near 51% suggests pricing power and cost discipline are the core engines of profitability. Furthermore, the Beneish M-Score of -2.73 points to low likelihoods of earnings manipulation, reinforcing the integrity of these high-margin figures amidst double-digit revenue growth.

Valuation metrics present a divergence between current market pricing and intrinsic value estimates derived from discounted cash flow analysis. The stock trades at approximately 40 times trailing earnings, a premium multiple that implies significant future growth expectations are already embedded in share prices. However, the DCF model suggests a fair value of $87 per share; if this target is materially below current market levels, it indicates the asset may be overvalued relative to its projected cash flows and risk profile. Conversely, if the implied growth rate required to justify the 39.9x multiple exceeds historical averages or sector norms, the premium could reflect a justified bet on sustained expansion rather than speculative excess.

The convergence of high-quality fundamentals with elevated valuation multiples creates a scenario where downside protection is theoretically strong due to the wide ROIC-WACC spread and low distress scores, yet upside potential may be constrained if growth decelerates from current 9.2% trajectories. Investors must weigh whether the market has fully priced in the durability of these margins or if the high multiple leaves little room for error should revenue momentum slow. The data suggests a company with exceptional operational characteristics trading at a price that demands flawless execution to validate its premium status over time.

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

DCF Sandbox

Interactive

Sensitivity Matrix

TG ↓ / WACC →9.6%11.6%13.6%
2%$103$80$65
3%$116$87$70
4%$134$97$75

Center = base case. Green = >10% upside, Red = >10% downside vs .

Pre-computed DCF: WACC=11.6%, terminal growth 3%. Fair value $87 (+0.0%). Not investment advice.

Price Chart with Moving Averages

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SMA 50 SMA 200

Quant Health Deep Dive

8/9
Piotroski F-Score
Strong — high operational efficiency and profitability signals
11.3
Altman Z-Score
Safe Zone — above 3.0 threshold per academic model. Thresholds: >3 safe, 1.8–3 grey, <1.8 distress.
-2.73
Beneish M-Score
Below threshold — no statistical earnings quality concern per Beneish model. Threshold: <-2.22 = below threshold.

Profitability & Value Creation

50.8%
Gross Margin
12.2%
Net Margin
15.3%
ROIC
11.6%
WACC
ROIC − WACC Spread: +3.7%— Positive spread.
+9.2%
Revenue Growth (YoY)
+17.1%
Earnings Growth (YoY)
550.5M
Free Cash Flow
20%
FCF Payout Ratio

✅ Conservative payout — room for dividend increases.

Balance Sheet Health

0.47x
Debt / Equity
1.54x
Current Ratio
387.7x
Interest Coverage
-0.4x
Net Debt / EBITDA
4.15%
FCF Yield
547.6M
EBITDA

Earnings Surprise History

Q4
✓ Beat
Est: $0.34
Act: $0.41
+19.9%
Q3
✓ Beat
Est: $0.51
Act: $0.58
+12.7%
Q2
✓ Beat
Est: $0.53
Act: $0.59
+10.8%
Q1
✓ Beat
Est: $0.88
Act: $0.89
+1.1%

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.

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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

26.7
Forward P/E
PEG Ratio
6.61
Price/Book
2M
Avg Volume
$85.61
52W High
$44.83
52W Low
52W Range Position

Passive Flow Attribution

ETF Draft Effect
$798M
Tracked Passive Exposure
8
ETFs Holding NYT
0.19%
Avg Weight in ETFs
$423B
Total ETF AUM

When investors buy or sell ETFs like VOX or MDYG, the fund manager is mechanically forced to buy or sell NYT shares regardless of NYT's individual fundamentals. We estimate $798M of passive capital is structurally linked to NYT through 8 tracked ETFs. Passive flows have a limited but growing influence on NYT'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 NYT to visualize passive redemption contagion across ETFs and collateral stocks.

NYT Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
NYTEpicenterVBETFVXFETFVBRETFMETALow RiskGOOGLLow RiskGOOGLow RiskVZHigh RiskNFLXLow Risk
NYT Price Drop (%)0

If NYT (NYT) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Facebook Inc. Class A (META) as the most exposed collateral stock, sharing 2 ETFs with NYT. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.

Contagion model based on shared ETF exposure and constituent weights across 15 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.

NYT Ownership Dynamics

Ticker
NYT

Float lock-up computed from 15 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).

NYT Capital Efficiency

How efficiently does NYT convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.

Free Cash Flow
$551M
EBITDA
$548M
FCF Conversion
101%
Reinvestment Rate
-1%
101% of EBITDA → Free Cash
0% (cash burn)25% (low)50% (efficient)100% (pure cash)
ROIC
15.3%
ROIC − WACC Spread
3.7%

NYT converts 101% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag. The positive ROIC-WACC spread of 3.7% confirms that reinvested capital creates 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.

DateFailed SharesClose PriceNotional Value
2026-05-1315,698$77.98$1.2M
2026-04-22616$81.62$50,277.92
2026-04-20309$79.48$24,559.32
2026-03-313$83.25$249.75
2026-03-2494$82.69$7,772.86
2026-03-2314,637$80.97$1.2M
2026-03-201,221$81.28$99,242.88
2026-03-19249$80.40$20,019.6
2026-02-1710,863$72.94$792,347.22
2026-02-10122$68.66$8,376.52
2026-02-02416$73.31$30,496.96
2026-01-2311$71.26$783.86
2026-01-20443$71.49$31,670.07
2026-01-061,298$70.11$91,002.78
2025-12-29137$70.16$9,611.92
2025-12-23311$70.52$21,931.72
2025-12-222,811$70.79$198,990.69
2025-12-17892$67.30$60,031.6
2025-12-12267$67.75$18,089.25
2025-12-05437$64.04$27,985.48
2025-12-045$64.20$321
2025-11-251$63.85$63.85
2025-11-1495$64.49$6,126.55
2025-11-10105,232$61.35$6.5M

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 NYT 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.