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DNTH Dianthus Therapeutics, Inc.

Healthcare

82.38 Close 10/30
Since 2024-12-02 +220.5%
Open
81.29
High
83.73
Low
80.58
Prev close
82.70
Volume
496.9K
Amplitude
3.81%
P/B
3.9
Revenue YoY (TTM)
-60.8%
52W 32.28 117.88

Is Dianthus Therapeutics, Inc. a buy? Fundamentals and valuation first

As of 2026-10-30

Risk / liquidity: Good; Valuation: Pricey, Quality: Weak, Growth: Weak.

Valuation Pricey Free-cash-flow yield is Average; Price / book is Pricey.
TTM P/E -633.69 N/A
Price / book 3.93 78th percentile Pricey
Free-cash-flow yield (%) -3.38 35th percentile Average
US Stock Backtest in Python: Price-to-Book Ratio StrategyQuality Factor Investing: A US Quality Value Backtest
Quality Weak ROE, TTM is Average; Operating margin, TTM is Lagging.
ROE, TTM (%) -2.55 36th percentile Average
Operating margin, TTM (%) -11,441.39 2th percentile Lagging
FCF margin, TTM (%) -8,177.99 2th percentile Lagging
Quality Factor Investing: A US Quality Value Backtest
Growth Weak Diluted EPS growth, TTM YoY is Average; Revenue growth, TTM YoY is Lagging.
Revenue growth, TTM YoY (%) -60.77 8th percentile Lagging
Diluted EPS growth, TTM YoY (%) -96 22th percentile Average
Momentum Neutral 240-day return is Top, but 60-day return is Average.
60-day return (%) -25.05 22th percentile Average
240-day return (%) 101.66 96th percentile Top
Momentum Trading Strategy: A 12-1 Momentum Backtest
Risk / liquidity Good 20-day dollar volume is Top; 60-day annualized volatility is Good.
20-day dollar volume 73,601,314 85th percentile Top
60-day annualized volatility (%) 39.04 45th percentile Good
FinLab Studio

From Dianthus Therapeutics, Inc. to every stock like it

AI finds several complementary traits of Dianthus Therapeutics, Inc. across different dimensions, combines them into a multifactor strategy, and backtests it against the market.

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Dianthus Therapeutics, Inc. (DNTH) peers and tracking

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Dianthus Therapeutics, Inc. (DNTH) quant signal backtests

Market-wide momentum baseline

Across 99,493 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.42%, a 58.4% positive-return rate, and +3.08 percentage points of average excess return versus the S&P 500.

Baseline: weekly samples since 2016 where a liquid US common stock ranked in the top quintile by 126-trading-day momentum. Forward return is 60 trading days; excess return is versus S&P 500 (^GSPC).

More history: Signals not active now

Signals not active now

Inactive signals still show the stock-specific historical forward-return distribution for context.

52-week adjusted-price high

Pending

Adjusted close first reaches a 252-trading-day high; repeated hits within 20 days count once.

9 times historically; 60-day forward avg +26.64%, win rate 66.7%, beating the market by +20.83 pts on average.

Top-quintile 6-month momentum

Pending

The stock ranks in the top 20% of the liquid US common-stock universe by 126-day adjusted return.

11 times historically; 60-day forward avg +3.9%, win rate 40%, beating the market by +1.38 pts on average.

Filed revenue acceleration

Pending

TTM revenue growth is at least 10% and improved versus the prior filed quarter; event date is the SEC filing date.

EPS surprise beat

Pending

Reported EPS beat consensus estimate by at least 5%; event date is the earnings-surprise timestamp.

6 times historically; 60-day forward avg -0.71%, win rate 33.3%, beating the market by -1.3 pts on average.

Method and limits

  • Returns use us_price:adj_close, adjusted for splits and dividends where available.
  • Excess returns use world_index:^GSPC as the S&P 500 benchmark proxy.
  • Quarterly fundamentals are aligned to SEC filing dates before daily valuation studies.
  • The promoted universe starts from active NYSE/NASDAQ common stocks, then applies price and dollar-volume gates.
  • Snapshot-only tables such as analyst consensus, DCF, us_ratios, and us_key_metrics are intentionally excluded from historical evidence.
  • Overlapping event windows are descriptive distributions, not independent samples.

This page is for historical data analysis and education only. It is not investment advice. Backtests and historical return distributions do not predict future performance; evaluate risk independently before trading.