BOC

Boston OmahaF

NYSE / Media & Entertainment

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Current thesis

Composite grade F from latest DB weights. Momentum 33.6 / Value 42.5

Posture

Defensive

Lead driver

Value

What changed

Value remains the lead driver in the composite, 7D delta -0.1.

What can break

Mixed signals. Wait for cleaner trend confirmation.

Momentum

Value

Sentiment

N/A

Setup hits (3d)

0 · Net Neutral

AI TargetsBase - · Bull - · Bear -Analysis date unavailable; returns require an exact persisted reference.

Data freshness

Prices

Unavailable: Price unavailable

Fundamentals

As of 2026-10-23 • Vendor: Data Vendor v1

Scores

As of 2026-10-23 • Model: HYBRID_IC_RP

AI Memo

Unavailable: No memo yet

Investment thesis

As of 2026-10-23

Grade is the composite factor band; factor scores use a 0–100 scale. Confidence describes evidence quality, not a probability of return. Score date: 2026-10-23. Definitions

Supporting evidence

What

Grade F · Defensive

Confidence Medium · Net Neutral

Target $14.00

Why

Momentum34 · Δ7d -2.4

Value43 · Δ7d -0.1

SentimentN/A · Δ7d -

So what

Weak posture (Net Neutral). Prioritize risk control and patience.

Confirming evidence

• Value remains the lead driver in the composite, 7D delta -0.1.

Contradictions & invalidation

• Mixed signals. Wait for cleaner trend confirmation.

Catalyst clock

No dated catalyst is available.

Lead driver: Value · See fundamentals

Momentum

15% active weight

Current posture

7d trendSoftening

Δ7d

-2.4

Δ21d

-15.1

Value

85% active weight

Current posture

7d trendFlat

Δ7d

-0.1

Δ21d

-0.2

Sentiment

N/A

Coverage pending

No current score

7d trendTrend unavailable

Trend unavailable

Δ7d

Δ21d

Why this grade

Composite grade F. Momentum 33.6 / Value 42.5

Fundamentals (TTM)

As of 2026-10-23

Market Cap

$378.99M

Beta

0.66

Shares Out

30.13M

P/E (TTM)

164.7

P/S (TTM)

3.50

P/FCF (TTM) · Derived

-55.39

Rev YoY

+2.4%

EPS YoY

-28.1%

Gross Margin

+13.4%

Op Margin

-4.9%

Net Debt

$11.99M

Current Ratio

2.05

As of 2026-10-23 • Updated nightlySource: Internal modelMethods & Data