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Help me set up FinLab and analyze GOOGL Alphabet Inc.. Please read: https://finlab.finance/en/setup?stock=GOOGL

GOOGL

Alphabet Inc. Communication Services As of 2026-07-31 Updated daily after market close

strong quality, premium valuation.

This page refreshes daily after the close. Add Alphabet Inc. to your watchlist to track signal changes on your next visit.
Valuation 31Quality 79Growth 81Momentum 61Risk / liquidity 81

Is Alphabet Inc. a buy? Fundamentals and valuation first

  • Quality is top-tier. Operating margin ranks above roughly 86% of the liquid US common-stock universe. TTM ROE is about 38.1%.

  • Valuation is expensive. TTM P/E is in the 70th percentile, above most peers.

  • Recent volatility is moderate. 60-day annualized volatility is near the 37th percentile. Average 20-day dollar volume is about $10,058.5M.

  • Signals are active now. Filed revenue acceleration, EPS surprise beat currently holds; the tables below show what followed in this stock’s own history.

Historical evidence

Signals active now

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

Filed revenue acceleration

Active · now 20.068713162932596%

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

15 historical occurrences (since 2018-04-24)
Average forward return after Filed revenue acceleration。20-day: Win 42.9%, Sample 14, Median -0.61%, Excess -1.52%, Beat mkt rate 42.9%;60-day: Win 64.3%, Sample 14, Median +8.14%, Excess +1.45%, Beat mkt rate 57.1%;120-day: Win 53.8%, Sample 13, Median +0.79%, Excess +4.32%, Beat mkt rate 46.2%

120 days after: historical avg +8.29%

20-day -0.15%
60-day +4.66%
120-day +8.29%
20-day
60-day
120-day
Win
42.9%
64.3%
53.8%
Sample
14
14
13
Median
-0.61%
+8.14%
+0.79%
Excess
-1.52%
+1.45%
+4.32%
Beat mkt rate
42.9%
57.1%
46.2%

Over 13 occurrences, 120-day forward avg gained 8.29%, beat the market by 4.32 pts; win rate 53.8%.

EPS surprise beat

Active · now 217.42160278745644%

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

28 historical occurrences (since 2017-04-27)
Average forward return after EPS surprise beat。20-day: Win 70.4%, Sample 27, Median +4.78%, Excess +2.29%, Beat mkt rate 63%;60-day: Win 74.1%, Sample 27, Median +12%, Excess +4.09%, Beat mkt rate 66.7%;120-day: Win 80.8%, Sample 26, Median +12.62%, Excess +8.31%, Beat mkt rate 57.7%

120 days after: historical avg +15.43%

20-day +3.43%
60-day +8.24%
120-day +15.43%
20-day
60-day
120-day
Win
70.4%
74.1%
80.8%
Sample
27
27
26
Median
+4.78%
+12%
+12.62%
Excess
+2.29%
+4.09%
+8.31%
Beat mkt rate
63%
66.7%
57.7%

Over 26 occurrences, 120-day forward avg gained 15.43%, beat the market by 8.31 pts; win rate 80.8%.

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 You are here630+39.7% +43% 81.7% +25.2%
20-40 428+21.3% +26% 69.4% +7.5%
40-60 210+37.3% +31.4% 69.5% +18.1%
60-80 105+42.5% +35.5% 97.1% +25.2%
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 17.89, placing it in the 1.5 own-history percentile, inside the 0-20 bucket.

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
+14.8%
Win rate 69.4% Excess +9.3%
497d
+19.1%
Win rate 87.1% Excess +8.5%
434d
+21%
Win rate 96% Excess +11%
101d
60-day momentum down
Now
+13.2%
Win rate 61.4% Excess +6.7%
448d
Insufficient data
(13d)
Insufficient data
(0d)

Currently in “Cheap (own-history bottom third) × 60-day momentum down”: across 448 historical days, 120-day forward avg gained 13.2%, win rate 61.4%, beat the market by 6.7%.

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 97,878 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.26%, a 58.3% positive-return rate, and +2.90 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.

30 times historically; 60-day forward avg +4.68%, win rate 60%, beating the market by +2.22 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.

17 times historically; 60-day forward avg +7.74%, win rate 70.6%, beating the market by +4.05 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.