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AAPL Apple Inc.

Technology

strong quality, premium valuation.

Quality
Top tier
Valuation
Expensive
Key signals
52-week adjusted-price high Top-quintile 6-month momentum Filed revenue acceleration
341.07
341.07 Close (USD) Loading candles…

Is Apple Inc. a buy? Fundamentals and valuation first

  • Quality is top-tier. Operating margin ranks above roughly 85% of the liquid US common-stock universe. TTM ROE is about 119.9%.

  • Valuation is expensive. TTM P/E is in the 88th percentile, above most peers.

  • Recent volatility is moderate. 60-day annualized volatility is near the 31th percentile. Average 20-day dollar volume is about $13,965.1M.

  • Signals are active now. 52-week adjusted-price high, Top-quintile 6-month momentum, Filed revenue acceleration currently holds; the tables below show what followed in this stock’s own history.

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Historical evidence

Signals active now

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

52-week adjusted-price high

Active

Adjusted close first reaches a 252-trading-day high; repeated hits within 20 days count once.

27 historical occurrences (since 2017-01-09)
Average forward return after 52-week adjusted-price high。20-day: Win 65.4%, Sample 26, Median +3.87%, Excess +2.31%, Beat mkt rate 69.2%；60-day: Win 64%, Sample 25, Median +1.9%, Excess +1.83%, Beat mkt rate 48%；120-day: Win 58.3%, Sample 24, Median +6.26%, Excess +2.13%, Beat mkt rate 50%

120 days after: historical avg +5.02%

20-day +2.68%
60-day +4.48%
120-day +5.02%
20-day
60-day
120-day
Win
65.4%
64%
58.3%
Sample
26
25
24
Median
+3.87%
+1.9%
+6.26%
Excess
+2.31%
+1.83%
+2.13%
Beat mkt rate
69.2%
48%
50%

Over 24 occurrences, 120-day forward avg gained 5.02%, beat the market by 2.13 pts; win rate 58.3%.

Top-quintile 6-month momentum

Active · now 80.37383177570094%

The stock ranks in the top 20% of the liquid US common-stock universe by 126-day adjusted return.

28 historical occurrences (since 2016-10-25)
Average forward return after Top-quintile 6-month momentum。20-day: Win 59.3%, Sample 27, Median +1.84%, Excess +0.44%, Beat mkt rate 63%；60-day: Win 76.9%, Sample 26, Median +4.37%, Excess +2.48%, Beat mkt rate 61.5%；120-day: Win 65.4%, Sample 26, Median +7.19%, Excess +3.27%, Beat mkt rate 53.8%

120 days after: historical avg +6.85%

20-day +1.42%
60-day +4.36%
120-day +6.85%
20-day
60-day
120-day
Win
59.3%
76.9%
65.4%
Sample
27
26
26
Median
+1.84%
+4.37%
+7.19%
Excess
+0.44%
+2.48%
+3.27%
Beat mkt rate
63%
61.5%
53.8%

Over 26 occurrences, 120-day forward avg gained 6.85%, beat the market by 3.27 pts; win rate 65.4%.

Filed revenue acceleration

Active · now 14.242398286937895%

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

6 historical occurrences (since 2021-04-29)
Average forward return after Filed revenue acceleration。20-day: Win 83.3%, Sample 6, Median +2.96%, Excess +1.31%, Beat mkt rate 83.3%；60-day: Win 100%, Sample 5, Median +6.6%, Excess +7.89%, Beat mkt rate 80%

60 days after: historical avg +9.28%

20-day +3.02%
60-day +9.28%
20-day
60-day
Win
83.3%
100%
Sample
6
5
Median
+2.96%
+6.6%
Excess
+1.31%
+7.89%
Beat mkt rate
83.3%
80%

Over 5 occurrences, 60-day forward avg gained 9.28%, beat the market by 7.89 pts; win rate 100%.

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 94+34% +30.6% 100% +17.2%
60-80 457+17.2% +14.2% 80.1% +7.9%
80-100 You are here952+27.1% +25.1% 88% +9.1%

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 39.07, placing it in the 96.7 own-history percentile, inside the 80-100 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
Insufficient data
(0d)
+8.3%
Win rate 58.3% Excess +2.3%
36d
Now
+9.1%
Win rate 73.9% Excess +3.6%
1022d
60-day momentum down
Insufficient data
(0d)
+18.3%
Win rate 76.4% Excess +10.9%
174d
+21.5%
Win rate 79.8% Excess +9.3%
391d

Currently in “Expensive (own-history top third) × 60-day momentum up”: across 1022 historical days, 120-day forward avg gained 9.1%, win rate 73.9%, beat the market by 3.6%.

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 98,702 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.12%, a 57.8% positive-return rate, and +2.76 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.

EPS surprise beat

Pending

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

24 times historically; 60-day forward avg +8.2%, win rate 76.2%, beating the market by +5.18 pts on average.

Continue researching Apple Inc. with the evidence above.

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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.