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FCEL FuelCell Energy, Inc.

Industrials

10.50 -0.72 -6.42% Close 11/2
Since 2024-12-02 -1.1%
Open
11.40
High
11.45
Low
10.43
Prev close
11.22
Volume
4.3M
Amplitude
9.09%
P/B
0.9
Revenue YoY (TTM)
+1.1%
52W 5.71 37.88

Is FuelCell Energy, Inc. a buy? Fundamentals and valuation first

As of 2026-10-30

Quality: Weak.

Valuation Neutral Price / book is Fair, but Free-cash-flow yield is Average.
TTM P/E -3.27 N/A
Price / book 0.92 29th percentile Fair
Free-cash-flow yield (%) -11.93 26th 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 (%) -18.01 27th percentile Average
Operating margin, TTM (%) -70.11 16th percentile Lagging
FCF margin, TTM (%) -69.44 16th percentile Lagging
Quality Factor Investing: A US Quality Value Backtest
Growth Neutral All 2 indicators are Average.
Revenue growth, TTM YoY (%) 1.09 38th percentile Average
Diluted EPS growth, TTM YoY (%) -52.03 35th percentile Average
Momentum Neutral 240-day return is Top, but 60-day return is Lagging.
60-day return (%) -44.78 9th percentile Lagging
240-day return (%) 59.38 90th percentile Top
Momentum Trading Strategy: A 12-1 Momentum Backtest
Risk / liquidity Neutral 20-day dollar volume is Top, but 60-day annualized volatility is Lagging.
20-day dollar volume 109,978,879 88th percentile Top
60-day annualized volatility (%) 106.78 85th percentile Lagging
FinLab Studio

From FuelCell Energy, Inc. to every stock like it

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

Screen stocks like FuelCell Energy, Inc.

FuelCell Energy, Inc. (FCEL) peers and tracking

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FuelCell Energy, Inc. (FCEL) 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.

5 times historically; 60-day forward avg +127.49%, win rate 60%, beating the market by +121.19 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.

13 times historically; 60-day forward avg +59.89%, win rate 61.5%, beating the market by +57.54 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.

16 times historically; 60-day forward avg -1.88%, win rate 37.5%, beating the market by -5.98 pts on average.

EPS surprise beat

Pending

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

17 times historically; 60-day forward avg +16%, win rate 33.3%, beating the market by +9.74 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.