Skip to main content

ORCL Oracle Corporation

Technology

strong quality, premium valuation.

Quality
Top tier
Valuation
Expensive
Key signals
Filed revenue acceleration EPS surprise beat
143.16
143.16 Close (USD) Loading candles…

Is Oracle Corporation 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 28.3%.

  • Valuation is expensive. TTM P/E is in the 76th percentile, above most peers.

  • Recent volatility is moderate. 60-day annualized volatility is near the 62th percentile. Average 20-day dollar volume is about $4,220.4M.

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

Watchlist

This page refreshes daily after the close. Add Oracle Corporation to your watchlist to track signal changes on your next visit.

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 21.61882815412246%

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

7 historical occurrences (since 2022-12-13)
Average forward return after Filed revenue acceleration。20-day: Win 50%, Sample 6, Median +0.09%, Excess -5.33%, Beat mkt rate 50%；60-day: Win 50%, Sample 6, Median -0.72%, Excess +0.66%, Beat mkt rate 50%；120-day: Win 60%, Sample 5, Median +7.46%, Excess +2.89%, Beat mkt rate 60%

120 days after: historical avg +12.38%

20-day -3.36%
60-day +3.61%
120-day +12.38%
20-day
60-day
120-day
Win
50%
50%
60%
Sample
6
6
5
Median
+0.09%
-0.72%
+7.46%
Excess
-5.33%
+0.66%
+2.89%
Beat mkt rate
50%
50%
60%

Over 5 occurrences, 120-day forward avg gained 12.38%, beat the market by 2.89 pts; win rate 60%.

EPS surprise beat

Active · now 10.344827586206893%

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

17 historical occurrences (since 2015-12-16)
Average forward return after EPS surprise beat。20-day: Win 60%, Sample 15, Median +5.12%, Excess -0.83%, Beat mkt rate 60%；60-day: Win 73.3%, Sample 15, Median +4.6%, Excess +0.07%, Beat mkt rate 53.3%；120-day: Win 78.6%, Sample 14, Median +5.48%, Excess +0.92%, Beat mkt rate 42.9%

120 days after: historical avg +6.64%

20-day +0.59%
60-day +3.92%
120-day +6.64%
20-day
60-day
120-day
Win
60%
73.3%
78.6%
Sample
15
15
14
Median
+5.12%
+4.6%
+5.48%
Excess
-0.83%
+0.07%
+0.92%
Beat mkt rate
60%
53.3%
42.9%

Over 14 occurrences, 120-day forward avg gained 6.64%, beat the market by 0.92 pts; win rate 78.6%.

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)
0-20 314+23.3% +12.5% 87.9% +1.4%
20-40 166+27.8% +41.4% 71.7% +11.4%
40-60 You are here109-5.6% -14.9% 22.9% -2.1%
60-80 380+30% +27% 92.4% +13.9%
80-100 596+24.8% +23% 80.5% +11.5%

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 22.44, placing it in the 43.0 own-history percentile, inside the 40-60 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
+12.5%
Win rate 73.6% Excess +1.8%
277d
+5.1%
Win rate 50.5% Excess 0%
192d
+7.3%
Win rate 62.6% Excess +1.1%
596d
60-day momentum down
+5.8%
Win rate 66.2% Excess -1.3%
136d
Now
+20%
Win rate 44.8% Excess +5.8%
58d
+18.2%
Win rate 70.9% Excess +12.7%
426d

Currently in “Middle × 60-day momentum down”: across 58 historical days, 120-day forward avg gained 20%, win rate 44.8%, beat the market by 5.8%.

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 98,524 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.12%, a 57.9% positive-return rate, and +2.77 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.

27 times historically; 60-day forward avg +1.4%, win rate 55.6%, beating the market by -2.27 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 +7.48%, win rate 64.7%, beating the market by +3.48 pts on average.

Continue researching Oracle Corporation with the evidence above.

Continue in Studio ↗

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.