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FANG

Diamondback EnergyC
Nasdaq / Energy
Last Price
At close
2026-06-02
View Chart
Current thesis
The post-earnings bull read is straightforward: FANG beat checked pre-release expectations, raised production guidance, raised the base dividend, kept buybacks active, and accelerated deleveraging. The stock's move from the May 1, 2026 anchor close of $207.65 to about $213.76 on May 4, 2026 suggests investors initially rewarded that combination.
Posture
Mixed
Lead driver
Momentum
What changed
3 setup hits (3d) with net bullish as of 2026-06-02.
What can break
Commodity-price sensitivity remains the dominant risk; management's higher-activity plan is tied to a market it describes as newly tight, and the company still flags oil, gas, and NGL price volatility as material [#8-K-2026-05-04] [#10-K-2026-02-25].
Momentum
55
Value
50
Sentiment
55
Setup hits (3d)
3 · Net Bullish
AI TargetsBase $202.00 · Bull $230.00 · Bear $178.00
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
As of 2026-05-04 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-06-02
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Bullish
Target $187.39
Why
Momentum55 · Δ7d -5.4
Value50 · Δ7d -0.1
Sentiment55 · Δ7d +4.0
So what
Balanced signals (Net Bullish). Wait for confirmation before sizing up.
Lead driver: Momentum · See technicals
Momentum
55
34% active weight
Current posture
7d trendImproving
Δ7d
-5.4
Δ21d
+14.4
Value
50
32% active weight
Current posture
7d trendFlat
Δ7d
-0.1
Δ21d
-0.8
Sentiment
55
33% active weight
Current posture
7d trendImproving
Δ7d
+4.0
Δ21d
+6.4
Why this grade

Composite grade C. Momentum 55.3 / Value 49.8 / Sentiment 54.7

Fundamentals (TTM)
As of 2026-06-01
Market Cap
$55.99B
Beta
0.60
Shares Out
286.53M
P/E (TTM)
10.2
P/S (TTM)
2.74
P/FCF (TTM) · Derived
-25.52
Rev YoY
+48.4%
EPS YoY
+10.1%
Gross Margin
+70.4%
Op Margin
+35.7%
Net Debt
$12.81B
Current Ratio
0.62
As of 2026-06-02 • Updated nightlySource: Internal modelMethodology