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LQDT

Liquidity ServicesC
Nasdaq / Commercial & Professional Services
Last Price
At close
2026-07-18
View Chart
Current thesis
The constructive case is that Q1 FY26 already showed the right ingredients: GMV grew 3.1% to $398.0 million, adjusted EBITDA rose to $18.1 million, GovDeals expanded faster than GMV on service-level gains, and RSCG margin improved despite lower purchase-model revenue mix; if those trends continue, LQDT can grow earnings faster than revenue from operating leverage [#10-Q-2026-02-05] [#PR-2026-02-05].
Posture
Mixed
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta +0.1.
What can break
CAG results can swing with project timing and large lower-take-rate energy or industrial transactions.
Momentum
72
Value
51
Sentiment
32
Setup hits (3d)
— · Net —
AI TargetsBase $35.00 · Bull $42.00 · Bear $27.00
Data freshness
Prices
As of 2026-07-18
Fundamentals
As of 2026-07-17 • Vendor: Data Vendor v1
Scores
As of 2026-07-18 • Model: HYBRID_IC_RP
AI Memo
As of 2026-04-20 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-07-18
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net —
Target $44.00
Why
Momentum72 · Δ7d -1.7
Value51 · Δ7d +0.1
Sentiment32 · Δ7d -3.7
So what
Balanced signals. Wait for confirmation before sizing up.
Setup hits not loaded

Load setup hits to see net bias and recent triggers.

Load setup hits
Lead driver: Value · See fundamentals
Momentum
72
26% active weight
Current posture
7d trendSoftening
Δ7d
-1.7
Δ21d
-11.3
Value
51
39% active weight
Current posture
7d trendFlat
Δ7d
+0.1
Δ21d
+0.8
Sentiment
32
34% active weight
Current posture
7d trendSoftening
Δ7d
-3.7
Δ21d
-2.6
Why this grade

Composite grade C. Momentum 71.8 / Value 51.3 / Sentiment 32.3

Fundamentals (TTM)
As of 2026-07-17
Market Cap
$1.23B
Beta
1.03
Shares Out
31.18M
P/E (TTM)
35.4
P/S (TTM)
1.97
P/FCF (TTM)
15.94
Rev YoY
+3.7%
EPS YoY
+6.8%
Gross Margin
+44.5%
Op Margin
+7.4%
Net Debt
-$171.7M
Current Ratio
1.50
As of 2026-07-18 • Updated nightlySource: Internal modelMethodology