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BELFB

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

steady quality, premium valuation.

2 active signals
Top-quintile 6-month momentum EPS surprise beat
This page refreshes daily after the close. Add Bel Fuse Inc. to your watchlist to track signal changes on your next visit.
Valuation 25Quality 68Growth 75Momentum 63Risk / liquidity 57

Is Bel Fuse Inc. a buy? Fundamentals and valuation first

  • Quality is above average. Operating margin sits near the 68th percentile. TTM ROE is about 12.5%.

  • Valuation is expensive. TTM P/E is in the 93th percentile, above most peers.

  • Recent volatility is moderate. 60-day annualized volatility is near the 70th percentile. Average 20-day dollar volume is about $80.0M.

  • 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 80.93617021276596%

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

21 historical occurrences (since 2016-07-27)
Average forward return after Top-quintile 6-month momentum。20-day: Win 65%, Sample 20, Median +7.57%, Excess +4.46%, Beat mkt rate 60%；60-day: Win 45%, Sample 20, Median -3.69%, Excess +0.64%, Beat mkt rate 40%；120-day: Win 55%, Sample 20, Median +4.45%, Excess +7.52%, Beat mkt rate 45%

120 days after: historical avg +13.42%

20-day +5.11%
60-day +1.75%
120-day +13.42%
20-day
60-day
120-day
Win
65%
45%
55%
Sample
20
20
20
Median
+7.57%
-3.69%
+4.45%
Excess
+4.46%
+0.64%
+7.52%
Beat mkt rate
60%
40%
45%

Over 20 occurrences, 120-day forward avg gained 13.42%, beat the market by 7.52 pts; win rate 55%.

EPS surprise beat

Active · now 23.931623931623935%

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

32 historical occurrences (since 2015-04-29)
Average forward return after EPS surprise beat。20-day: Win 65.5%, Sample 29, Median +5.9%, Excess +8.35%, Beat mkt rate 62.1%；60-day: Win 79.3%, Sample 29, Median +19.15%, Excess +15.88%, Beat mkt rate 72.4%；120-day: Win 70.4%, Sample 27, Median +27.98%, Excess +23.52%, Beat mkt rate 63%

120 days after: historical avg +30.55%

20-day +11%
60-day +20%
120-day +30.55%
20-day
60-day
120-day
Win
65.5%
79.3%
70.4%
Sample
29
29
27
Median
+5.9%
+19.15%
+27.98%
Excess
+8.35%
+15.88%
+23.52%
Beat mkt rate
62.1%
72.4%
63%

Over 27 occurrences, 120-day forward avg gained 30.55%, beat the market by 23.52 pts; win rate 70.4%.

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)
0-20 100+178% +181.7% 100% +176.2%
20-40 148+90.3% +79.8% 100% +74.9%
40-60 265+60.8% +56.8% 100% +45.8%
60-80 281+61.9% +40% 100% +45%
80-100 You are here131+186.6% +195% 100% +166.4%

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 62.09, placing it in the 90.2 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
+56.5%
Win rate 100% Excess +64.7%
77d
+28.9%
Win rate 93.6% Excess +21.5%
389d
+39%
Win rate 78.1% Excess +34.4%
301d
60-day momentum down
+67.9%
Win rate 100% Excess +63%
111d
+25.8%
Win rate 95.5% Excess +14.6%
67d
Now
+78.5%
Win rate 100% Excess +63.4%
100d

Currently in “Expensive (own-history top third) × 60-day momentum down”: across 100 historical days, 120-day forward avg gained 78.5%, win rate 100%, beat the market by 63.4%.

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 +6.16%, win rate 52.9%, beating the market by +2.97 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.

10 times historically; 60-day forward avg +5.62%, win rate 60%, beating the market by +3.41 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.