Skip to main content

GSAT Globalstar, Inc.

Communication Services

82.30 -1.23 -1.47% Close 10/30
Since 2024-11-29 +185.6%
Open
82.40
High
83.06
Low
82.00
Prev close
83.53
Volume
1.4M
Amplitude
1.27%
P/B
36.9
Revenue YoY (TTM)
+7.7%
52W 46.50 84.85

Is Globalstar, Inc. a buy? Fundamentals and valuation first

As of 2026-10-29

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

Valuation Pricey Free-cash-flow yield is Average; Price / book is Expensive.
TTM P/E -162.99 N/A
Price / book 36.86 98th percentile Expensive
Free-cash-flow yield (%) -1.07 41th percentile Average
US Stock Backtest in Python: Price-to-Book Ratio StrategyQuality Factor Investing: A US Quality Value Backtest
Quality Weak Operating margin, TTM is Average; FCF margin, TTM is Lagging.
ROE, TTM (%) -20.44 26th percentile Average
Operating margin, TTM (%) 4.79 46th percentile Average
FCF margin, TTM (%) -41.21 19th percentile Lagging
Quality Factor Investing: A US Quality Value Backtest
Growth Good All 2 indicators are Good.
Revenue growth, TTM YoY (%) 7.66 55th percentile Good
Diluted EPS growth, TTM YoY (%) 30.41 71th percentile Good
Momentum Good All 2 indicators are Good.
60-day return (%) 0.1 66th percentile Good
240-day return (%) 32.21 78th percentile Good
Momentum Trading Strategy: A 12-1 Momentum Backtest
Risk / liquidity Strong All 2 indicators are Top.
20-day dollar volume 62,336,483 83th percentile Top
60-day annualized volatility (%) 8.1 9th percentile Top
FinLab Studio

From Globalstar, Inc. to every stock like it

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

Screen stocks like Globalstar, Inc.

Globalstar, Inc. (GSAT) peers and tracking

Watchlist

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

Globalstar, Inc. (GSAT) quant signal backtests

Market-wide momentum baseline

Across 99,554 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.46%, a 58.5% positive-return rate, and +3.11 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.

10 times historically; 60-day forward avg +15.66%, win rate 50%, beating the market by +11.43 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.

28 times historically; 60-day forward avg -3.96%, win rate 34.6%, beating the market by -6.76 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.

12 times historically; 60-day forward avg +8.24%, win rate 58.3%, beating the market by +4.31 pts on average.

EPS surprise beat

Pending

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

14 times historically; 60-day forward avg +8.69%, win rate 58.3%, beating the market by +6.14 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.