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

CLS

Celestica Inc. Technology As of 2026-07-31 Updated daily after market close

steady quality, premium valuation.

This page refreshes daily after the close. Add Celestica Inc. to your watchlist to track signal changes on your next visit.
Valuation 24Quality 64Growth 86Momentum 53Risk / liquidity 60

Is Celestica Inc. a buy? Fundamentals and valuation first

  • Quality is above average. Operating margin sits near the 53th percentile. TTM ROE is about 45.1%.

  • Valuation is expensive. TTM P/E is in the 84th percentile, above most peers.

  • Recent volatility is elevated. 60-day annualized volatility is in the 79th percentile. Average 20-day dollar volume is about $806.2M.

  • 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 47.49198551080549%

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

11 historical occurrences (since 2022-06-30)
Average forward return after Filed revenue acceleration。20-day: Win 70%, Sample 10, Median +2.09%, Excess +5.36%, Beat mkt rate 40%;60-day: Win 80%, Sample 10, Median +16.19%, Excess +16.16%, Beat mkt rate 60%;120-day: Win 100%, Sample 8, Median +40.65%, Excess +48.84%, Beat mkt rate 100%

120 days after: historical avg +55.9%

20-day +7.2%
60-day +21.04%
120-day +55.9%
20-day
60-day
120-day
Win
70%
80%
100%
Sample
10
10
8
Median
+2.09%
+16.19%
+40.65%
Excess
+5.36%
+16.16%
+48.84%
Beat mkt rate
40%
60%
100%

Over 8 occurrences, 120-day forward avg gained 55.9%, beat the market by 48.84 pts; win rate 100%.

EPS surprise beat

Active · now 10.91703056768559%

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

25 historical occurrences (since 2016-04-21)
Average forward return after EPS surprise beat。20-day: Win 79.2%, Sample 24, Median +10.21%, Excess +10.04%, Beat mkt rate 75%;60-day: Win 75%, Sample 24, Median +17.98%, Excess +17.67%, Beat mkt rate 79.2%;120-day: Win 75%, Sample 24, Median +33.9%, Excess +30.88%, Beat mkt rate 70.8%

120 days after: historical avg +37.71%

20-day +11.62%
60-day +21.48%
120-day +37.71%
20-day
60-day
120-day
Win
79.2%
75%
75%
Sample
24
24
24
Median
+10.21%
+17.98%
+33.9%
Excess
+10.04%
+17.67%
+30.88%
Beat mkt rate
75%
79.2%
70.8%

Over 24 occurrences, 120-day forward avg gained 37.71%, beat the market by 30.88 pts; win rate 75%.

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)
0-20 150+132.9% +145.1% 89.3% +101%
20-40 294+109.4% +92.1% 96.3% +100.2%
40-60 117+58.6% +21.6% 85.5% +60.8%
60-80 190+118.3% +45.7% 85.8% +111%
80-100 You are here519+151.4% +139.6% 100% +133.1%

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 34.42, placing it in the 86.0 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
+34.7%
Win rate 88.8% Excess +27%
161d
+30.2%
Win rate 75.5% Excess +31.4%
159d
+43.8%
Win rate 85.8% Excess +36.1%
675d
60-day momentum down
+54.3%
Win rate 90.4% Excess +43.3%
219d
+36.9%
Win rate 90% Excess +30.2%
50d
Now
+112.5%
Win rate 99.2% Excess +99.2%
126d

Currently in “Expensive (own-history top third) × 60-day momentum down”: across 126 historical days, 120-day forward avg gained 112.5%, win rate 99.2%, beat the market by 99.2%.

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 +20.02%, win rate 63.6%, beating the market by +17.37 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.

20 times historically; 60-day forward avg +12.58%, win rate 68.4%, beating the market by +10.79 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.