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GEHC GE HealthCare Technologies Inc.

Healthcare

79.55 +2.98 +3.89% Close 11/2
Since 2024-12-02 -7.5%
Open
77.54
High
80.34
Low
77.38
Prev close
76.57
Volume
4.8M
Amplitude
3.87%
P/E
20.0
P/B
3.0
Revenue YoY (TTM)
+1.8%
52W 58.75 89.77

Is GE HealthCare Technologies Inc. a buy? Fundamentals and valuation first

As of 2026-10-30

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

Valuation Pricey Free-cash-flow yield is Good, but Price / book is Pricey.
TTM P/E 19.99 53th percentile Pricey
Price / book 2.98 71th percentile Pricey
Free-cash-flow yield (%) 3.48 60th percentile Good
US Stock Backtest in Python: Price-to-Book Ratio StrategyQuality Factor Investing: A US Quality Value Backtest
Quality Good All 3 indicators are Good.
ROE, TTM (%) 15.16 76th percentile Good
Operating margin, TTM (%) 13.21 62th percentile Good
FCF margin, TTM (%) 5.85 53th percentile Good
Quality Factor Investing: A US Quality Value Backtest
Growth Neutral All 2 indicators are Average.
Revenue growth, TTM YoY (%) 1.82 40th percentile Average
Diluted EPS growth, TTM YoY (%) -20.87 46th percentile Average
Momentum Good 60-day return is Top; 240-day return is Good.
60-day return (%) 8.96 85th percentile Top
240-day return (%) 4.89 57th percentile Good
Momentum Trading Strategy: A 12-1 Momentum Backtest
Risk / liquidity Strong 20-day dollar volume is Top; 60-day annualized volatility is Good.
20-day dollar volume 268,278,288 94th percentile Top
60-day annualized volatility (%) 26.38 30th percentile Good

GE HealthCare Technologies Inc. (GEHC) today

2 quant signals active · As of 2026-10-30

Win rate and excess are historical post-trigger stats vs the market. Click a signal for its full definition and samples; history does not predict future results.

FinLab Studio

From GE HealthCare Technologies Inc. to every stock like it

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

Screen stocks like GE HealthCare Technologies Inc.

GE HealthCare Technologies Inc. (GEHC) peers and tracking

Watchlist

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GE HealthCare Technologies Inc. (GEHC) quant signal backtests

Signals active now

Each active condition is tested against this stock’s own history and benchmarked versus the S&P 500.

EPS surprise beat

Active · now 11.67%

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

10 historical occurrences (since 2023-04-25)

Average forward return after EPS surprise beat

20-day: Win 55.6%, Sample 9, Median +1.71%, Excess -3.36%, Beat mkt rate 22.2%

60-day: Win 55.6%, Sample 9, Median +0.79%, Excess -6.85%, Beat mkt rate 11.1%

120-day: Win 50%, Sample 8, Median -2.77%, Excess -10.73%, Beat mkt rate 25%

120 days after: historical avg -1.96%

20-day -1.39%
60-day -1.24%
120-day -1.96%
20-day
60-day
120-day
Win
55.6%
55.6%
50%
Sample
9
9
8
Median
+1.71%
+0.79%
-2.77%
Excess
-3.36%
-6.85%
-10.73%
Beat mkt rate
22.2%
11.1%
25%

Over 8 occurrences, 120-day forward avg declined 1.96%, lagged the market by 10.73 pts; win rate 50%.

Valuation regime and forward returns

Daily TTM P/E is converted into an expanding own-history percentile, then grouped into five valuation regimes. Forward returns use adjusted prices over the next 240 trading days.

PE percentile bandSample days240-day avg returnMedianWin rateAvg excess (vs index)
0-20 0Insufficient data
20-40 0Insufficient data
40-60 You are here0Insufficient data
60-80 0Insufficient data
80-100 0Insufficient data

Quarterly EPS is aligned by SEC filing date before it is forward-filled to daily prices. The expanding percentile uses only information available up to each day.

Current TTM P/E is about 19.99, placing it in the 48.5 own-history percentile, inside the 40-60 bucket.

More history: Valuation × momentum analogs, Market-wide momentum baseline, Signals not active now

Valuation × momentum analogs

Each historical day is grouped by own-history P/E tercile and 60-day momentum direction, then tested for the next 120-trading-day adjusted return.

Valuation
Momentum
Cheap (own-history bottom third)
Middle
Expensive (own-history top third)
60-day momentum up
Insufficient data
(0d)
Now
Insufficient data
(4d)
Insufficient data
(8d)
60-day momentum down
Insufficient data
(1d)
-2.5%
Win rate 22.4% Excess -14.7%
49d
Insufficient data
(0d)

Days = trading days in this bucket; returns use adjusted prices, ex-costs. 60-day momentum: direction of this stock's price over the past 60 trading days.

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).

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.

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.

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.