DTST
Data StorageANasdaq / Software & Services
Last Price
At close
2026-07-20
Current thesis
The constructive case is that DTST exited 2025 debt-free with over $10 million of capital, retained a recurring Nexxis base, and is using that flexibility to pursue SaiS and other strategic opportunities in regulated AI infrastructure where management sees an emerging compliance and resiliency gap [#SEC-8K-2026-04-14] [#SEC-8K-2026-05-15].
Posture
Constructive
Lead driver
Momentum
What changed
Momentum remains the lead driver in the composite.
What can break
Core continuing operations remain small, so even modest expense growth or delays in strategic deployment can materially affect profitability and sentiment [#SEC-8K-2026-05-15].
Momentum
90
Value
54
Sentiment
48
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $3.40 · Bull $5.00 · Bear $2.10
Data freshness
Prices
As of 2026-07-20
Fundamentals
As of 2026-07-20 • Vendor: Data Vendor v1
Scores
As of 2026-07-20 • Model: HYBRID_IC_RP
AI Memo
As of 2026-06-11 • Model: RankAlpha Sentiment Codex
Investment thesisAs of 2026-07-20
Investment thesis
As of 2026-07-20
Supporting evidence
What
Grade A · Constructive
Confidence Medium · Net Neutral
Why
Momentum90 · Δ7d -
Value54 · Δ7d -0.4
Sentiment48 · Δ7d -
So what
Strength-led posture (Net Neutral). Favor watchlist adds and disciplined entries.
Lead driver: Momentum · See technicals
Momentum
90
26% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Value
54
39% active weight
Current posture
7d trendFlat
Δ7d
-0.4
Δ21d
+0.0
Sentiment
48
34% active weight
Current posture
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade
Composite grade A. Momentum 90.0 / Value 54.1 / Sentiment 48.5
Fundamentals (TTM)As of 2026-07-20
Fundamentals (TTM)
As of 2026-07-20
Market Cap
$7.24M
Beta
1.18
Shares Out
2.34M
P/E (TTM)
2.4
P/S (TTM)
1.90
P/FCF (TTM) · Derived
-3.75
Rev YoY
+10.9%
EPS YoY
-7491.2%
Gross Margin
+47.8%
Op Margin
-8.5%
Net Debt
-$40.99M
Current Ratio
11.65
As of 2026-07-20 • Updated nightlySource: Internal modelMethodology

