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SWX

Southwest GasC
NYSE / Utilities
Last Price
At close
2026-06-02
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AI scenario view

RankAlpha Sentiment AI
B+
Bull case
20%
Probability
Target price
$100.80
+17.2% vs current
Most likely
B
Base case
60%
Probability
Target price
$90.05
+4.7% vs current
B-
Bear case
20%
Probability
Target price
$80.15
-6.8% vs current

AI sentiment snapshot

Latest data as of 2026-02-26
Recent news sentiment (30D)
-13.7
Negative
Company
+35.0
Positive
Macro
-13.8
Negative
Pulse
-
Unavailable
Sentiment proxy
+53.7
Score

AI commentary

Market coverage shows tight clustering of analyst targets around the current price with median near $90 and a modest spread to the high/low [#SERP-1], [#SERP-4]. Recent headlines note mixed reactions to Q4 results and small target adjustments, implying a market that is largely data-driven and sensitive to regulatory news [#SERP-2]. Dividend stability and regulated cash flows keep sentiment neutral-to-cautious among analysts [#SERP-5].

RankAlpha Sentiment AI - 2026-02-26
Open full AI memo

Evidence flagged

No evidence quality warning is currently attached to this memo.

Impact
standard
Confidence
-

AI events

2026-05-27catalystQ1 2026 quarterly earnings releaseMedium impact

Quarterly results and guidance may move the stock; analysts currently show mixed small revisions after recent Q4 commentary [#SERP-2], [#SERP-4]. Date assumed near next typical quarterly cadence.

2026-05-27catalystWeather-driven demand variability (spring/summer consumption)High impact

Unseasonal temperature swings can change distribution volumes vs. forecasts, affecting near-term EPS and cash flow [#SERP-2].

2027-02-26eventPending/periodic utility rate cases and regulatory rulingsHigh impact

Rate case outcomes in the Southwest service territories can materially re-rate earnings and allowed returns; timing varies by jurisdiction so end-of-window date assumed for planning [#SERP-1].

View full catalyst timeline

Recommendation

N/A

No formal recommendation provided.

Open AI Memo
As of 2026-02-26 • Updated nightlySource: Internal modelMethodology