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DOCU

DocuSignC
Nasdaq / Software & Services
Last Price
At close
2026-06-02
View Chart
Current thesis
Composite grade C from latest DB weights. Momentum 45.3 / Value 61.7
Posture
Mixed
Lead driver
Value
What changed
Next scheduled catalyst: earnings 2026-06-04 · AMC.
What can break
Mixed signals. Wait for cleaner trend confirmation.
Momentum
45
Value
62
Sentiment
N/A
Setup hits (3d)
0 · Net Neutral
AI TargetsBase - · Bull - · Bear -
Earnings
45 · Non-qualifying
Next 2026-06-04 · AMC
Data freshness
Prices
As of 2026-06-02
Fundamentals
As of 2026-06-01 • Vendor: Data Vendor v1
Scores
As of 2026-06-02 • Model: HYBRID_IC_RP
AI Memo
Unavailable: No memo yet
Earnings Setup
As of 2026-06-03 • RankAlpha AI
Investment thesis
As of 2026-06-02
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Neutral
Target $79.19
Why
Momentum45 · Δ7d +6.8
Value62 · Δ7d -0.5
SentimentN/A · Δ7d -
So what
Balanced signals (Net Neutral). Wait for confirmation before sizing up.
Earnings surprise screen
45Non-qualifying2026-06-04 amc
View setup

DocuSign had improving product-catalyst messaging and decent pre-event price strength, but the setup failed two core checks: Zacks showed a negative -2.00% ESP, and recent volume did not clear the 1.5x accumulation hurdle. That makes it a catalyst story, not a clean surprise-probability setup.

Screen as of 2026-06-03. Window 2026-06-03 to 2026-06-09.
Lead driver: Value · See fundamentals
Momentum
45
52% active weight
Current posture
7d trendImproving
Δ7d
+6.8
Δ21d
+28.8
Value
62
48% active weight
Current posture
7d trendFlat
Δ7d
-0.5
Δ21d
-1.0
Sentiment
N/A
Coverage pending
No current score
7d trendTrend unavailable
Trend unavailable
Δ7d
-
Δ21d
-
Why this grade

Composite grade C. Momentum 45.3 / Value 61.7

Fundamentals (TTM)
As of 2026-06-01
Market Cap
$11.08B
Beta
1.01
Shares Out
200.27M
P/E (TTM)
44.9
P/S (TTM)
4.08
P/FCF (TTM)
13.04
Rev YoY
+8.4%
EPS YoY
+34.5%
Gross Margin
+79.3%
Op Margin
+8.6%
Net Debt
-$963.55M
Current Ratio
0.73
As of 2026-06-02 • Updated nightlySource: Internal modelMethodology