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CNTA

Centessa Pharmaceuticals plc Healthcare As of 2026-07-02

discounted valuation.

2 active signals
52-week adjusted-price high Top-quintile 6-month momentum
Centessa Pharmaceuticals plc recent adjusted price trend，Close (USD) 40.540.5

Is Centessa Pharmaceuticals plc a buy? Fundamentals and valuation first

Valuation 63Quality 39Growth 30Momentum 50Risk / liquidity 90

  • Valuation is cheaper than most peers. TTM P/E is in the 10th percentile, lower than most liquid US common stocks.

  • Recent volatility is comparatively low. 60-day annualized volatility is in the 6th percentile. Average 20-day dollar volume is about $114.5M.

  • Signals are active now. 52-week adjusted-price high, Top-quintile 6-month momentum 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.

52-week adjusted-price high

Active

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

10 historical occurrences (since 2023-06-22)
Average forward return after 52-week adjusted-price high。20-day: Win 55.6%, Sample 9, Median +10.89%, Excess +5.77%, Beat mkt rate 55.6%；60-day: Win 62.5%, Sample 8, Median +2.76%, Excess +1.48%, Beat mkt rate 62.5%；120-day: Win 75%, Sample 8, Median +11.6%, Excess +8.15%, Beat mkt rate 50%

120 days after: historical avg +13.63%

20-day +6.64%
60-day +3.68%
120-day +13.63%
20-day
60-day
120-day
Win
55.6%
62.5%
75%
Sample
9
8
8
Median
+10.89%
+2.76%
+11.6%
Excess
+5.77%
+1.48%
+8.15%
Beat mkt rate
55.6%
62.5%
50%

Over 8 occurrences, 120-day forward avg gained 13.63%, beat the market by 8.15 pts; win rate 75%.

Top-quintile 6-month momentum

Active · now 86.05851979345955%

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

12 historical occurrences (since 2022-12-01)
Average forward return after Top-quintile 6-month momentum。20-day: Win 45.5%, Sample 11, Median -1.51%, Excess +6.87%, Beat mkt rate 54.5%；60-day: Win 72.7%, Sample 11, Median +37.37%, Excess +24.48%, Beat mkt rate 72.7%；120-day: Win 100%, Sample 8, Median +18.64%, Excess +15.63%, Beat mkt rate 75%

120 days after: historical avg +23.25%

20-day +7.49%
60-day +29.68%
120-day +23.25%
20-day
60-day
120-day
Win
45.5%
72.7%
100%
Sample
11
11
8
Median
-1.51%
+37.37%
+18.64%
Excess
+6.87%
+24.48%
+15.63%
Beat mkt rate
54.5%
72.7%
75%

Over 8 occurrences, 120-day forward avg gained 23.25%, beat the market by 15.63 pts; win rate 100%.

Market-wide momentum baseline

Across 94,082 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.45%, a 58.2% positive-return rate, and +3.12 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.

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.

EPS surprise beat

Pending

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

11 times historically; 60-day forward avg +5.87%, win rate 54.5%, beating the market by +1.82 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.