CVEO
CiveoCNYSE / Commercial & Professional Services
Last Price
At close
2026-07-21
Current thesis
Primary company disclosure showed a stronger Q1 than the prior year, with revenue up 20%, Adjusted EBITDA up 78%, Canada back to positive Adjusted EBITDA and the low end of 2026 revenue guidance raised to $675 million [#8-K-2026-05-01]. Secondary earnings coverage also described Q1 as ahead of consensus on both EPS and revenue.
Posture
Mixed
Lead driver
Value
What changed
Next scheduled catalyst: earnings 2026-07-24.
What can break
Adjusted EBITDA guidance was unchanged at $85 million-$90 million even after the revenue floor was raised, leaving margin conversion as the main post-earnings debate [#8-K-2026-05-01].
Momentum
57
Value
54
Sentiment
44
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $34.50 · Bull $38.00 · Bear $26.00
Earnings
2026-07-24
Data freshness
Prices
As of 2026-07-21
Fundamentals
As of 2026-07-21 • Vendor: Data Vendor v1
Scores
As of 2026-07-21 • Model: HYBRID_IC_RP
AI Memo
As of 2026-05-04 • Model: RankAlpha Sentiment Codex
Investment thesisAs of 2026-07-21
Investment thesis
As of 2026-07-21
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Neutral
Target $39.00
Why
Momentum57 · Δ7d +16.8
Value54 · Δ7d -0.6
Sentiment44 · Δ7d -12.6
So what
Balanced signals (Net Neutral). Wait for confirmation before sizing up.
Lead driver: Value · See fundamentals
Momentum
57
26% active weight
Current posture
7d trendImproving
Δ7d
+16.8
Δ21d
-23.1
Value
54
39% active weight
Current posture
7d trendFlat
Δ7d
-0.6
Δ21d
+0.3
Sentiment
44
34% active weight
Current posture
7d trendSoftening
Δ7d
-12.6
Δ21d
-2.6
Why this grade
Composite grade C. Momentum 57.1 / Value 53.6 / Sentiment 44.3
Fundamentals (TTM)As of 2026-07-21
Fundamentals (TTM)
As of 2026-07-21
Market Cap
$376.23M
Beta
0.62
Shares Out
10.94M
P/E (TTM) · Derived
-21.7
P/S (TTM)
0.44
P/FCF (TTM)
6.40
Rev YoY
+19.9%
EPS YoY
-52.7%
Gross Margin
+13.2%
Op Margin
-0.9%
Net Debt
$186.4M
Current Ratio
1.89
As of 2026-07-21 • Updated nightlySource: Internal modelMethodology

