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IRS

IRSA Inversiones y RepresentacionesC
NYSE / Real Estate Management & Development
Last Price
At close
2026-06-03
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AI scenario view

RankAlpha Sentiment AI
B+
Bull case
20%
Probability
Target price
$33.00
+122.4% vs current
Most likely
B
Base case
60%
Probability
Target price
$21.00
+41.5% vs current
B-
Bear case
20%
Probability
Target price
$13.00
-12.4% vs current

AI sentiment snapshot

Latest data as of 2026-03-28
Recent news sentiment (30D)
-24.0
Negative
Company
-45.0
Negative
Macro
-23.0
Negative
Pulse
-45.4
Negative
Sentiment proxy
+93.6
Score

AI commentary

Market commentary is mixed but tilted toward upside: several analyst aggregators show a median near $21 and a high near $33, implying market expectation of recovery/re-rating [#SERP-2] . Company IR releases emphasize improving rental EBITDA in H1 FY2026, which supports constructive sentiment if the trend continues [#IR-2026-02-04]. Overall newsflow remains focused on quarterly operating metrics and the filed FY-2025 20-F [#IR-2025-10-24].

RankAlpha Sentiment AI - 2026-03-28
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Evidence flagged

No evidence quality warning is currently attached to this memo.

Impact
standard
Confidence
-

AI events

2026-06-26eventNext quarterly (Q3 FY2026) results: rental and office occupancy / pricing read-throughHigh impact

Next quarterly results will be the nearest discrete readout to confirm whether rental-segment adjusted EBITDA momentum continues; monitor the Q3 release for occupancy, lease renewals and ARS rental escalation detail (prior IR releases provide the comparables set) [#IR-2026-02-04] [#IR-2025-11-06].

2027-03-28catalystSustained rental-segment EBITDA growth supporting NAV re-ratingHigh impact

Management reported that adjusted EBITDA from rental segments rose to ARS 147,190m in H1 FY2026 (up 4.9% y/y); continued rental recovery and margin expansion could drive a re-rating of the ADR toward analyst medians if trends persist [#IR-2026-02-04].

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Recommendation

N/A

No formal recommendation provided.

Open AI Memo
As of 2026-03-28 • Updated nightlySource: Internal modelMethodology