RankAlpha logo
Back to Rankings

TLS

TelosD
Nasdaq / Software & Services
Last Price
Quote time unavailable
View Chart
Current thesis
Composite grade D from latest DB weights. Momentum 27.3 / Value 57.1
Posture
Defensive
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta +0.0.
What can break
Mixed signals. Wait for cleaner trend confirmation.
Momentum
27
Value
57
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 2026-08-17 • Vendor: Data Vendor v1
Scores
As of 2026-09-09 • Model: HYBRID_IC_RP
AI Memo
Unavailable: No memo yet
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 D · Defensive
Confidence Medium · Net Neutral
Target $6.60
Why
Momentum27 · Δ7d +26.2
Value57 · Δ7d +0.0
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 +0.0.

Contradictions & invalidation

  • Mixed signals. Wait for cleaner trend confirmation.

Catalyst clock

No dated catalyst is available.

Lead driver: Value · See fundamentals
Momentum
27
25% active weight
Current posture
7d trendImproving
Δ7d
+26.2
Δ21d
+20.9
Value
57
75% active weight
Current posture
7d trendFlat
Δ7d
+0.0
Δ21d
+8.6
Sentiment
N/A
Coverage pending
No current score
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade D. Momentum 27.3 / Value 57.1

Fundamentals (TTM)
As of 2026-08-17
Market Cap
$328.09M
Beta
0.97
Shares Out
74.74M
P/E (TTM) · Derived
-8.8
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 2026-09-09 • Updated nightlySource: Internal modelMethods & Data