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UDR · UDR, Inc.

REIT - Residential · mkt cap $12.0B · calls: Q1 FY2026 vs Q4 FY2025
24.0 conviction · conf-adj 24

conf –

enthusiasm:9.0 · trend:-5 · quantifies:0 · impact:0 · under_radar:5 · credibility:12 · business_impact:4 · disruption:0 · commitment:-4 · confirmation:3

Enthusiasm latest 3 / prev 8 (falling)

UDR's AI story peaked on the Q4 FY2025 call: management explicitly piloted AI across screening, maintenance/risk matching, utility reimbursement analytics, and early eviction-risk detection, framed as the next step from data to cash flow. On Q1 FY2026, internal AI went largely unmentioned; the only direct "AI" reference was tenant-demand tailwind in San Francisco's Downtown/SoMa from AI industry growth, while proprietary/predictive analytics continued to guide capital allocation. Credibility is moderate on substance but weak on proof: Q4 offered concrete use cases yet no AI-attributed dollars, and Q1 offered no follow-through or metrics.

PAST (realized)
CURRENT (now)
FORWARD (guidance)
TRACK RECORD — PROMISE vs DELIVERY

88/100 track record   delivers  6 calls reviewed

UDR's quantified AI-adjacent promises center on data-driven innovation revenue (65–80 bps) and customer-experience retention targets, not headline AI product launches—and on those metrics they consistently delivered or beat through 2025. The only explicit forward quantified target in the set (45 bps innovation in 2026) is too early to judge, with early 2026 tracking on plan.

Innovation/operating initiatives to add 65 bps (~$10–15M, ~7% growth) to 2025 same-store revenue (Wi‑Fi, lockers, AI fraud screening, customer-experience retention) — promised Q4 FY2024
delivered By Q2 FY2025 management raised the innovation contribution to 80 bps after ~10% other-income growth; full-year 2025 same-store revenue/NOI exceeded initial guidance midpoints.
2025 resident turnover 100 bps below 2024 (~$3.5M cash flow) via proprietary customer-experience/data orchestration — promised Q4 FY2024
delivered Q1 YTD turnover was 200 bps better than plan; by Q4 FY2025 management cited ~1,000 bps retention improvement vs historical levels and ~$35M annualized cash-flow benefit.
Innovation contribution raised to 80 bps of 2025 same-store revenue (15 bps above prior guide) — promised Q2 FY2025
delivered Other income grew ~8.5–10% through Q3; occupancy/bad-debt outperformance (partly from AI fraud tools) helped offset softer blends and full-year 2025 revenue guidance was met/exceeded.
Innovation/other operating initiatives to add 45 bps (~$10M, ~5% growth) to 2026 same-store revenue — promised Q4 FY2025
too-early Q1 FY2026 reported mid-single-digit innovation income growth in line with expectations; full-year 2026 outcome not yet reported in this transcript set.
Customer-experience project to sustain sector-leading retention gains and margin expansion in 2026 — promised Q4 FY2025
partial Q1 FY2026 stated retention at an all-time high, tracking ahead of plan, with turnover 300 bps better YoY supporting renewal growth of 5.2%.
AI-based resident screening/fraud detection (mid-2024 rollout) to improve bad-debt outcomes in 2025 — promised Q4 FY2024
partial Management repeatedly cited favorable bad-debt trends and a positive occupancy/bad-debt contribution to 2025 revenue (raised in Q2), though no explicit bad-debt bps target was given.
PRICED-IN (REFINED)
MEDIUM

Est. revisions flat  ·  Fwd P/E 63.4  ·  EV/Sales 10.4x

AI claim maps to Management Service, Same Communities Western Region, Same Communities Northeast Region

Analyst ratings are unchanged since Feb 2026 (only a small Jan hold→hold shift), and price targets are only modestly higher near term (39.33 vs 38.25 last quarter) while still below the 40.72 one-year average; forward revenue is essentially flat (~0.5% to 2026) with no sustained EPS ramp that would embed an AI efficiency story. Valuation is rich for a mature residential REIT (63.4x forward P/E, ~10.4x EV/sales, ~15.8x EV/EBITDA), so much of the quality/growth premium is already in the multiple even though revisions are not rising. Any AI benefit would most plausibly show up in Management Service and same-store community revenue lines, not in consensus yet—mixed signals yield medium priced-in: stretched multiples, flat estimate momentum.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
3Q4 FY20245Q1 FY20255Q2 FY20257Q3 FY20258Q4 FY20255Q1 FY2026

AI enthusiasm across 6 calls — trend ↗ rising

Innovation and CX data matured into analytics platforms and explicit AI; latest call reverted to dashboards without AI.

RECENT AI CATALYSTS & NEWS
BUSINESS IMPACT - QUALITATIVE MATERIALITY

5/10 qualitative impact   moderate  medium-term · mixed evidence

Where AI matters: operations/NOI and resident lifecycle

Q4 FY2025 cited real deployments (screening, utility-file analytics, eviction-risk, maintenance matching) tied to cash flow, but Q1 FY2026 dropped internal AI talk, offered no AI-attributed dollars, and upside is mostly indirect via innovation bps and retention already credited to broader data programs.

Caveats: No AI-specific NOI or EPS quantification; Q1 narrative pullback weakens proof; Tech-hub rent tailwind (e.g., SF SoMa) could reverse if AI/tech hiring or CapEx slows; Large-peer scale in analytics could erode any data-driven edge over time

AI DISRUPTION / CANNIBALIZATION RISK  tailwind · 2/10

Multifamily rent is tied to scarce housing and local supply/demand, not billable hours or content AI can automate away; AI mainly pressures ops efficiency and pricing analytics where UDR is an adopter, while SF tech-demand tailwinds are cyclical macro exposure, not cannibalization of the core product.

OPTIONS / MARKET STRUCTURE

option liquidity: fair

ATM IV
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TYPICAL BID-ASK
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OPEN INTEREST
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proxy inputs — dollar-ADV $150M · beta 0.717 · px $36.84

source: proxy (no options chain on FMP)
FMP /stable/ exposes no options-chain endpoint on this key, so ATM IV, bid-ask spread and open interest are unavailable. Liquidity below is a PROXY from dollar-ADV, beta and price level (a stand-in for option depth), not measured option-market data.

CONFIRMATION — INSIDERS · 13F · LANGUAGE
Mixed — insiders neutral, institutions adding, management language 1/10 hedged.
INSIDERS neutral no open-market buys/sells in last 6mo (routine: 20 awards, 2 tax-withholding)
INSTITUTIONS (13F) adding as of 2026-03-31: 71 new / 75 closed positions; 261 increased / 176 reduced; institutional ownership -5.52pp; -2 net 13F holders
MGMT LANGUAGE 1/10 hedged Transcript has no explicit AI/ML/automation; only data-driven ops and proprietary analytics.
VERBATIM AI QUOTES
“And that AI growth is more specific in that Downtown/SoMa area as well.”
— Mike Lacey, Q1 FY2026
“That is a market that has moved up on the leaderboard internally from a predictive analytics tool perspective.”
— Dave Bragg, Q1 FY2026
“the rent growth outlook through our proprietary tool”
— Dave Bragg, Q1 FY2026
“Our proprietary analytics tool suggests outsized rent growth for the market and these assets in the coming years.”
— Dave Bragg, Q1 FY2026
“I think with the new datasets that we are seeing, and when we start looking at our rent roll, what it turns out to be is high-quality residents over longer periods of time generate more cash flow than a high-turn, resetting-the-market approach.”
— Tom Toomey, Q1 FY2026
“And to Tom's point, there is a whole other iteration that is to come, and that is around how we think about pricing, how we think about marketing, and how we truly drive that cash flow even higher.”
— Mike Lacey, Q1 FY2026
“our analytics obviously dig much deeper than the high level.”
— Christopher Van ens, Q1 FY2026
“our platform likes Portland as a market; it thinks it is on the upswing as we look across our broad set of variables.”
— Christopher Van ens, Q1 FY2026
“It screens well—some of the markets in our analytics on a long-term basis—and it might be a good arbitrage window.”
— Tom Toomey, Q1 FY2026
“In short, our proven track record of generating attractive shareholder return is strengthened by our culture of continual innovation and disciplined capital allocation, which are further enhanced by a variety of AI tools.”
— Tom Toomey, Q4 FY2025
“And sixth, ongoing investments in innovation, including advancing our customer experience project and the various ways we can integrate AI tools it would continue to drive incremental NOI in excess of market level growth.”
— Tom Toomey, Q4 FY2025
“In the effort to maximize these opportunities, we are currently piloting AI initiatives. There are dozens of incremental AI related ideas on our list to explore and execute on.”
— Mike Lacey, Q4 FY2025
“And I think what you've seen from us over the years is we typically come out with that mid single digit range growth. Our expectation is we're gonna continue to lean into our innovation and try to drive that higher through a multitude of initiatives, including some of the things that we're doing on the AI front.”
— Mike Lacey, Q4 FY2025
“But I think the next frontier really is this enablement of data to cash flow through our AI strategy and execution and know, he's got a lot of good things.”
— Tom Toomey, Q4 FY2025
“The way we see it impacting a multitude of things right now is we see it across our customer experience. We're seeing it across human capital, and we're really leaning into how we think about CapEx. How we use it today is with our sales team. And we're using it to do a better job with screening upfront with our prospects. And I'll tell you our data teams are using it every single day.”
— Mike Lacey, Q4 FY2025
“We're using AI. We're analyzing our risk console, and we're matching against our maintenance platform to identify opportunities to enhance our customer experience project.”
— Mike Lacey, Q4 FY2025
“We're using AI to analyze large recurring data processing files And we're able to identify trends in real time. This covers abnormal usage, missing invoices, and even rate changes that may require reimbursement billing changes.”
— Mike Lacey, Q4 FY2025
“We're utilizing AI to analyze resident payment history and eviction trends to identify at risk leasing earlier, and this is allowing our teams to intervene more proactively as it relates to some of the eviction process going forward.”
— Mike Lacey, Q4 FY2025
“Scalable ways AI can help us service our residents better reduce friction, and improve decision making.”
— Mike Lacey, Q4 FY2025
“We identified this community based on insights from our predictive analytics platform our assessment of future CapEx needs, our operations team's on the ground perspective, including the efficiencies that come with owning the property directly across the street.”
— Dave Bragg, Q4 FY2025
ANALYST QUESTIONS ON AI
Q (Q1 FY2026, Alex Kim (Zelman and Associates)): Given some of the growing debate around AI CapEx sustainability, tech headcount plateauing, and some federal deregulatory risk to tech market dynamics, just curious if there is a kind of read-through that you see in terms of the recent macro noise in your leasing velocity or traffic? And what is your stress case look like for the market?
A: Mike Lacey: continued strength in San Francisco; low supply; return-to-office and migration closer to work; Downtown/SoMa seeing traffic; "that AI growth is more specific in that Downtown/SoMa area as well"; momentum on traffic and market rents; low rent-to-income ratios; expectation of continued strength for the foreseeable future.
Q (Q1 FY2026, Julien Blouin (Goldman Sachs)): Is there any competitive disadvantage to you if consolidation among large peers occurs in some of your markets and, you know, just suddenly there being a player with greater scale? Does that give them a data advantage in terms of informing their decisions in those markets? Is that piece meaningful at all?
A: Tom Toomey: apartment industry is very fragmented; UDR has found its path without requiring size; excellence in operations, capital allocation, and innovation matters more than scale; hard for any player to control customer segmentation/traffic in apartments.
Q (Q4 FY2025, Rich Anderson (Cantor Fitzgerald)): You have a reason why you're having the experience that you're having in terms of the sequential performance. Is it something systemic to the world around you? Is it a UDR sort of strategic shift of some sort that's inciting better activity?
A: Mike Lacey: combination of lease-expiration strategy, faster market-rent pushes, renewal pricing, and other income initiatives, "including some of the things that we're doing on the AI front." Tom Toomey then asked Mike to "expand a little bit more about the his AI programs"; Mike detailed current AI use in screening, risk console/maintenance matching, utility reimbursement file analysis, and at-risk resident identification, plus a long pipeline of ideas.