Skip to main content

WULF TeraWulf Inc.

Financial Services

10.94 -0.79 -6.77% Close 11/2
Since 2024-12-02 +60.3%
Open
11.96
High
12.00
Low
10.81
Prev close
11.73
Volume
37.9M
Amplitude
10.14%
P/B
39.7
Revenue YoY (TTM)
+14.7%
52W 10.35 29.84

Is TeraWulf Inc. a buy? Fundamentals and valuation first

As of 2026-10-30

Growth: Strong, Risk / liquidity: Good; Valuation: Expensive, Quality: Weak, Momentum: Weak.

Valuation Expensive Free-cash-flow yield is Lagging; Price / book is Expensive.
TTM P/E -2.67 N/A
Price / book 39.74 98th percentile Expensive
Free-cash-flow yield (%) -42.79 17th percentile Lagging
US Stock Backtest in Python: Price-to-Book Ratio StrategyQuality Factor Investing: A US Quality Value Backtest
Quality Weak All 3 indicators are Lagging.
ROE, TTM (%) -1,323.42 1th percentile Lagging
Operating margin, TTM (%) -234.37 10th percentile Lagging
FCF margin, TTM (%) -1,515.94 4th percentile Lagging
Quality Factor Investing: A US Quality Value Backtest
Growth Strong Diluted EPS growth, TTM YoY is Top; Revenue growth, TTM YoY is Good.
Revenue growth, TTM YoY (%) 14.65 68th percentile Good
Diluted EPS growth, TTM YoY (%) 1,193.36 97th percentile Top
Momentum Weak 240-day return is Good, but 60-day return is Lagging.
60-day return (%) -33.39 15th percentile Lagging
240-day return (%) 6.73 59th percentile Good
Momentum Trading Strategy: A 12-1 Momentum Backtest
Risk / liquidity Good 20-day dollar volume is Top, but 60-day annualized volatility is Average.
20-day dollar volume 543,344,075 97th percentile Top
60-day annualized volatility (%) 84.08 77th percentile Average
FinLab Studio

From TeraWulf Inc. to every stock like it

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

Screen stocks like TeraWulf Inc.

TeraWulf Inc. (WULF) peers and tracking

Watchlist

This page refreshes daily after the close. Add TeraWulf Inc. to your watchlist to track signal changes on your next visit.

TeraWulf Inc. (WULF) 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.

15 times historically; 60-day forward avg +2.56%, win rate 53.3%, beating the market by +1.14 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.

15 times historically; 60-day forward avg +27.84%, win rate 60%, beating the market by +25.18 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.

5 times historically; 60-day forward avg +18.31%, win rate 40%, beating the market by +13.03 pts on average.

EPS surprise beat

Pending

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

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.