TLS

TelosC

Nasdaq / Software & Services

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Current thesis

Composite grade C from latest DB weights. Momentum 41.1 / Value 56.3

Posture

Mixed

Lead driver

Value

What changed

Value remains the lead driver in the composite, 7D delta -1.2.

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 C · Mixed

Confidence Medium · Net Neutral

Target $6.33

Why

Momentum41 · Δ7d +43.8

Value56 · Δ7d -1.2

SentimentN/A · Δ7d -

So what

Balanced signals (Net Neutral). Wait for confirmation before sizing up.

Confirming evidence

• Value remains the lead driver in the composite, 7D delta -1.2.

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 trendImproving

Δ7d

+43.8

Δ21d

+48.4

Value

85% active weight

Current posture

7d trendSoftening

Δ7d

-1.2

Δ21d

-0.9

Sentiment

N/A

Coverage pending

No current score

7d trendTrend unavailable

Trend unavailable

Δ7d

Δ21d

Why this grade

Composite grade C. Momentum 41.1 / Value 56.3

Fundamentals (TTM)

As of 2026-10-23

Market Cap

$363.97M

Beta

0.97

Shares Out

74.74M

P/E (TTM) · Derived

-9.7

P/S (TTM)

2.59

P/FCF (TTM)

1810.01

Rev YoY

+32.7%

EPS YoY

-106.5%

Gross Margin

+36.7%

Op Margin

-2.0%

Net Debt

-$45.12M

Current Ratio

2.04

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