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

LFUS

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

quality needs a look, discounted valuation.

This page refreshes daily after the close. Add Littelfuse, Inc. to your watchlist to track signal changes on your next visit.
Valuation 60Quality 50Growth 40Momentum 75Risk / liquidity 71

Is Littelfuse, Inc. a buy? Fundamentals and valuation first

  • Quality is weaker than peers. Operating margin is only around the 41th percentile. TTM ROE is about -1.6%.

  • Valuation is cheaper than most peers. TTM P/E is in the 1th percentile, lower than most liquid US common stocks.

  • Recent volatility is moderate. 60-day annualized volatility is near the 49th percentile. Average 20-day dollar volume is about $168.9M.

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

Top-quintile 6-month momentum

Active · now 84.59574468085106%

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

13 historical occurrences (since 2016-10-26)
Average forward return after Top-quintile 6-month momentum。20-day: Win 38.5%, Sample 13, Median -2.02%, Excess -2.44%, Beat mkt rate 30.8%;60-day: Win 76.9%, Sample 13, Median +4.2%, Excess -1.99%, Beat mkt rate 38.5%;120-day: Win 69.2%, Sample 13, Median +8.28%, Excess +0.71%, Beat mkt rate 53.8%

120 days after: historical avg +5.29%

20-day -0.25%
60-day +2.39%
120-day +5.29%
20-day
60-day
120-day
Win
38.5%
76.9%
69.2%
Sample
13
13
13
Median
-2.02%
+4.2%
+8.28%
Excess
-2.44%
-1.99%
+0.71%
Beat mkt rate
30.8%
38.5%
53.8%

Over 13 occurrences, 120-day forward avg gained 5.29%, beat the market by 0.71 pts; win rate 69.2%.

Filed revenue acceleration

Active · now 12.638192398846716%

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

4 historical occurrences (since 2021-07-28)

EPS surprise beat

Active · now 10.846560846560863%

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

27 historical occurrences (since 2015-10-28)
Average forward return after EPS surprise beat。20-day: Win 68%, Sample 25, Median +3.91%, Excess +2.17%, Beat mkt rate 60%;60-day: Win 66.7%, Sample 24, Median +6.49%, Excess +0.85%, Beat mkt rate 41.7%;120-day: Win 54.2%, Sample 24, Median +3.5%, Excess +1.98%, Beat mkt rate 50%

120 days after: historical avg +7.33%

20-day +4.31%
60-day +5.56%
120-day +7.33%
20-day
60-day
120-day
Win
68%
66.7%
54.2%
Sample
25
24
24
Median
+3.91%
+6.49%
+3.5%
Excess
+2.17%
+0.85%
+1.98%
Beat mkt rate
60%
41.7%
50%

Over 24 occurrences, 120-day forward avg gained 7.33%, beat the market by 1.98 pts; win rate 54.2%.

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)
0-20 541-0.5% +0.1% 50.5% -9.9%
20-40 142-12.5% -10% 3.5% -26.7%
40-60 162-3.3% -7% 38.9% -9.1%
60-80 118+3.5% +0.9% 58.5% -11.1%
80-100 You are here3Insufficient data

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 66.41, placing it in the 98.0 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
-3.9%
Win rate 28.9% Excess -6.7%
360d
-6.9%
Win rate 14.3% Excess -15.2%
98d
Now
+6.1%
Win rate 62.6% Excess -1%
99d
60-day momentum down
+2.1%
Win rate 52.9% Excess -2.8%
308d
+8.3%
Win rate 61.8% Excess +1.3%
136d
+15.7%
Win rate 68.2% Excess +3.7%
85d

Currently in “Expensive (own-history top third) × 60-day momentum up”: across 99 historical days, 120-day forward avg gained 6.1%, win rate 62.6%, lagged the market by 1%.

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.

18 times historically; 60-day forward avg +7.57%, win rate 66.7%, beating the market by +4.81 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.