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Help me set up FinLab and analyze CNC Centene Corp.. Please read: https://finlab.finance/en/setup?stock=CNC

CNC

Centene Corp. Healthcare As of 2026-07-31 Updated daily after market close

quality needs a look, discounted valuation.

This page refreshes daily after the close. Add Centene Corp. to your watchlist to track signal changes on your next visit.
Valuation 75Quality 35Growth 33Momentum 88Risk / liquidity 77

Is Centene Corp. a buy? Fundamentals and valuation first

  • Quality is weaker than peers. Operating margin is only around the 31th percentile. TTM ROE is about -22.6%.

  • Valuation is cheaper than most peers. TTM P/E is in the 21th percentile, lower than most liquid US common stocks.

  • Recent volatility is moderate. 60-day annualized volatility is near the 40th percentile. Average 20-day dollar volume is about $309.0M.

  • Signals are active now. Top-quintile 6-month momentum, 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.

Top-quintile 6-month momentum

Active · now 87.91489361702128%

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

14 historical occurrences (since 2017-05-12)
Average forward return after Top-quintile 6-month momentum。20-day: Win 78.6%, Sample 14, Median +5.16%, Excess +2.9%, Beat mkt rate 71.4%;60-day: Win 64.3%, Sample 14, Median +6.38%, Excess +3.56%, Beat mkt rate 64.3%;120-day: Win 69.2%, Sample 13, Median +17.77%, Excess +6.57%, Beat mkt rate 69.2%

120 days after: historical avg +11.08%

20-day +4.05%
60-day +4.47%
120-day +11.08%
20-day
60-day
120-day
Win
78.6%
64.3%
69.2%
Sample
14
14
13
Median
+5.16%
+6.38%
+17.77%
Excess
+2.9%
+3.56%
+6.57%
Beat mkt rate
71.4%
64.3%
69.2%

Over 13 occurrences, 120-day forward avg gained 11.08%, beat the market by 6.57 pts; win rate 69.2%.

EPS surprise beat

Active · now 130.27522935779814%

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

23 historical occurrences (since 2015-04-28)
Average forward return after EPS surprise beat。20-day: Win 68.4%, Sample 19, Median +1.54%, Excess +0.32%, Beat mkt rate 47.4%;60-day: Win 63.2%, Sample 19, Median +9.31%, Excess -1.53%, Beat mkt rate 52.6%;120-day: Win 61.1%, Sample 18, Median +6.68%, Excess -4.68%, Beat mkt rate 61.1%

120 days after: historical avg +3.45%

20-day +2.25%
60-day +3.13%
120-day +3.45%
20-day
60-day
120-day
Win
68.4%
63.2%
61.1%
Sample
19
19
18
Median
+1.54%
+9.31%
+6.68%
Excess
+0.32%
-1.53%
-4.68%
Beat mkt rate
47.4%
52.6%
61.1%

Over 18 occurrences, 120-day forward avg gained 3.45%, lagged the market by 4.68 pts; win rate 61.1%.

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 here455-9.4% -14.8% 43.5% -27.2%
20-40 50+15.7% +12.6% 90% -11.4%
40-60 97+11.9% +5.5% 76.3% -7.1%
60-80 239-5.3% -6.6% 37.7% -25.4%
80-100 335+4.4% +3.8% 59.7% +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 8.22, placing it in the 3.2 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
Now
-4.7%
Win rate 50.4% Excess -16.5%
337d
-7.7%
Win rate 7.9% Excess -19.5%
63d
-0.1%
Win rate 52.1% Excess +1%
290d
60-day momentum down
-8.8%
Win rate 38.5% Excess -21.2%
270d
-4.1%
Win rate 30.9% Excess -14.9%
110d
+5.9%
Win rate 61% Excess +0.7%
218d

Currently in “Cheap (own-history bottom third) × 60-day momentum up”: across 337 historical days, 120-day forward avg declined 4.7%, win rate 50.4%, lagged the market by 16.5%.

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.

23 times historically; 60-day forward avg +0.73%, win rate 52.4%, beating the market by +0.36 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.

14 times historically; 60-day forward avg +5.26%, win rate 64.3%, beating the market by +2.12 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.