FET
Forum EnergyDNYSE / Energy
Last Price
At close
2026-06-02
Current thesis
The company-source read-through is constructive: Q1 revenue and EBITDA grew year over year, backlog increased 44% versus the prior-year quarter, Q2 EBITDA guidance implies sequential improvement, and the full-year EBITDA midpoint was raised. With the packet’s median analyst target at $64 versus the May 1, 2026 anchor price of $58.74, the basic valuation setup still points to modest upside if conversion holds.
Posture
Defensive
Lead driver
Sentiment
What changed
Sentiment remains the lead driver in the composite, 7D delta +17.8.
What can break
Artificial Lift and Downhole EBITDA was relatively flat despite higher revenue because of unfavorable product mix.
Momentum
27
Value
55
Sentiment
65
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $64.00 · Bull $70.00 · Bear $49.00
Data freshness
Prices
As of 2026-06-02
Fundamentals
As of 2026-06-02 • 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 thesisAs of 2026-06-02
Investment thesis
As of 2026-06-02
Supporting evidence
What
Grade D · Defensive
Confidence Medium · Net Neutral
Target $64.00
Why
Momentum27 · Δ7d -13.0
Value55 · Δ7d +1.0
Sentiment65 · Δ7d +17.8
So what
Weak posture (Net Neutral). Prioritize risk control and patience.
Lead driver: Sentiment · See AI snapshot
Momentum
27
34% active weight
Current posture
7d trendSoftening
Δ7d
-13.0
Δ21d
-39.8
Value
55
32% active weight
Current posture
7d trendImproving
Δ7d
+1.0
Δ21d
+1.1
Sentiment
65
33% active weight
Current posture
7d trendImproving
Δ7d
+17.8
Δ21d
+20.6
Why this grade
Composite grade D. Momentum 26.7 / Value 54.6 / Sentiment 65.0
Fundamentals (TTM)As of 2026-06-02
Fundamentals (TTM)
As of 2026-06-02
Market Cap
$595.96M
Beta
0.64
Shares Out
11.38M
P/E (TTM) · Derived
-64.4
P/S (TTM)
0.57
P/FCF (TTM)
5.65
Rev YoY
-5.6%
EPS YoY
-46.4%
Gross Margin
+27.9%
Op Margin
-11.4%
Net Debt
$143.73M
Current Ratio
2.19
As of 2026-06-02 • Updated nightlySource: Internal modelMethodology

