B+
Bull case
25%
Probability
Target price
$245.00
Analysis reference price unavailable
Analysis 2026-04-29 · RankAlpha Sentiment Codex
BELFA
Bel FuseCNasdaq / Technology Hardware & Equipment
Last Price
Quote time unavailable
Current thesis
The constructive case still rests on primary-source evidence from the February 17, 2026 Q4 release and the 2025 10-K: stronger aerospace/defense and networking demand, improved margin structure, sharply higher bookings, and a larger backlog entering 2026 [#PR-2026-02-17] [#10-K-2026-02-24]. The March realignment and small but immediately accretive dataMate acquisition could make that demand picture easier to monetize if execution is clean [#PR-2026-03-31] [#PR-2026-03-05].
Posture
Mixed
Lead driver
Sentiment
What changed
Sentiment remains the lead driver in the composite, 7D delta +4.7.
What can break
Bel's 10-K says backlog may not be a reliable indicator of timing because of supply constraints, demand changes, and design shifts, which limits how aggressively investors should underwrite the January 31, 2026 backlog increase [#10-K-2026-02-24].
Momentum
26
Value
52
Sentiment
62
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $230.00 · Bull $245.00 · Bear $205.00Analysis 2026-04-29; returns require an exact persisted reference.
Data freshness
Prices
Unavailable: Price unavailable
Fundamentals
As of 2026-08-17 • Vendor: Data Vendor v1
Scores
As of 2026-09-09 • Model: HYBRID_IC_RP
AI Memo
As of 2026-04-29 • Model: RankAlpha Sentiment Codex
Investment thesisAs of 2026-09-09
Investment thesis
As of 2026-09-09
Grade is the composite factor band; factor scores use a 0–100 scale. Confidence describes evidence quality, not a probability of return. Score date: 2026-09-09. Definitions
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Neutral
Why
Momentum26 · Δ7d -3.3
Value52 · Δ7d +0.0
Sentiment62 · Δ7d +4.7
So what
Balanced signals (Net Neutral). Wait for confirmation before sizing up.
Confirming evidence
- • Sentiment remains the lead driver in the composite, 7D delta +4.7.
Contradictions & invalidation
- • Bel's 10-K says backlog may not be a reliable indicator of timing because of supply constraints, demand changes, and design shifts, which limits how aggressively investors should underwrite the January 31, 2026 backlog increase [#10-K-2026-02-24].
- • Management had guided first-quarter 2026 sales to $165-$180 million and gross margin to 37%-39%, while also flagging normal Chinese New Year seasonality; a miss versus that framework would pressure the near-term thesis [#PR-2026-02-17].
- • As of April 29, 2026, I did not confirm a company Q1 2026 earnings release, 8-K earnings exhibit, or transcript in checked primary sources, so the post-earnings surprise, guidance update, analyst revision signal, and market-reaction attribution are unavailable.
Catalyst clock
2026-04-30
Q1 2026 results are the immediate proof point, but the company release was not yet available in checked primary sources
Lead driver: Sentiment · See AI snapshot
Momentum
26
9% active weight
Current posture
7d trendSoftening
Δ7d
-3.3
Δ21d
-7.9
Value
52
28% active weight
Current posture
7d trendFlat
Δ7d
+0.0
Δ21d
+1.8
Sentiment
62
62% active weight
Current posture
7d trendImproving
Δ7d
+4.7
Δ21d
+17.2
Why this grade
Composite grade C. Momentum 25.6 / Value 51.9 / Sentiment 61.9
Scenario snapshot
Scenario probability is memo-authored likelihood, not forecast certainty. Targets belong to the analysis dated 2026-04-29. Scenario method
Most likely
B
Base case
45%
Probability
Target price
$230.00
Analysis reference price unavailable
Analysis 2026-04-29 · RankAlpha Sentiment Codex
B-
Bear case
30%
Probability
Target price
$205.00
Analysis reference price unavailable
Analysis 2026-04-29 · RankAlpha Sentiment Codex
Fundamentals (TTM)As of 2026-08-17
Fundamentals (TTM)
As of 2026-08-17
Market Cap
$4.2B
Beta
1.23
Shares Out
14.34M
P/E (TTM)
29.9
P/S (TTM)
3.36
P/FCF (TTM)
52.99
Rev YoY
+25.2%
EPS YoY
-11.9%
Gross Margin
+39.5%
Op Margin
+16.5%
Net Debt
$164.86M
Current Ratio
4.48
As of 2026-09-09 • Updated nightlySource: Internal modelMethods & Data