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MGA

Magna InternationalB
NYSE / Automobiles & Components
Last Price
At close
2026-06-02
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AI scenario view

RankAlpha Sentiment AI
B+
Bull case
20%
Probability
Target price
$70.66
+3.7% vs current
Most likely
B
Base case
60%
Probability
Target price
$56.53
-17.0% vs current
B-
Bear case
20%
Probability
Target price
$42.40
-37.7% vs current

AI sentiment snapshot

Latest data as of 2026-01-15
Recent news sentiment (30D)
-
Unavailable
Company
-
Unavailable
Macro
-
Unavailable
Pulse
-
Unavailable
Sentiment proxy
+31.5
Score

AI commentary

Analyst targets show a wide spread—highs near $61 and multiple mid/high-$40s averages—indicating divided views on execution and EV ramp timing [#SERP-1][#SERP-3]. Reviewed branded snippets and consensus summaries suggest the market is largely pricing a cautious base-case near the anchor with a notable bearish tail; differences appear driven by assumptions on timing of program ramps and margin recovery [#SERP-2].

RankAlpha Sentiment AI - 2026-01-15
Open full AI memo

Evidence flagged

No evidence quality warning is currently attached to this memo.

Impact
standard
Confidence
-

AI events

2026-04-15eventMajor program launch or vehicle start-of-productionHigh impact

A confirmed start-of-production on a large EV program would materially re-rate growth assumptions; date estimated at program ramp end (assumption: end of disclosed windows) [#SERP-1].

2026-04-15catalystNext quarterly earnings release and guidance updateHigh impact

Quarterly results and management guidance may reset expectations for margins and EV-content growth; date estimated conservatively (assumed quarter end) [#SERP-4] .

2027-01-15catalystEV content ramp and program winsHigh impact

Longer-term revenue mix shift as EV platforms and ADAS content scale; outcomes depend on program timing and win rates (analyst targets show mixed upside and dispersion) [#SERP-1][#SERP-3].

View full catalyst timeline

Recommendation

N/A

No formal recommendation provided.

Open AI Memo
As of 2026-01-15 • Updated nightlySource: Internal modelMethodology