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OTIS · Otis Worldwide Corporation

Industrial - Machinery · mkt cap $27.0B · calls: Q1 FY2026 vs Q4 FY2025
48.0 conviction · conf-adj 48

conf 6/10 partial

enthusiasm:21.0 · trend:8 · quantifies:5 · impact:0 · under_radar:5 · credibility:5 · business_impact:4 · disruption:0 · commitment:0 · confirmation:0

Enthusiasm latest 7 / prev 6 (rising)

Otis’s AI story is service-centric: Otis ONE connectivity for predictive maintenance/proactive repair, a quantified AI pricing algorithm tied to ~$50M annual pricing uplift, computer-vision safety on Gen3 Comfort, and majority investment in we maintain (ML/AI field-learning platform). Q4 emphasized product launches (AI inspection robot, AI agent) and scale (~1.1M connected units, +35% subscription revenue); Q1 shifted to deployment, investment dollars, and competitive moat narrative. Credibility is moderate-to-strong on pricing and connectivity scale (numbers given), weaker on separating AI-specific revenue from broader service/connectivity growth.

GROUNDED NEXT-FY IMPACT vs CONSENSUS

Grounded on actual base — revenue $14.4B · net income $1.4B · net margin 9.6% · diluted EPS 3.5

These are next-fiscal-year annual uplift estimates, not next-quarter numbers.

Aggregate next-FY est. rev uplift: 0.35% · next-FY EPS uplift: 0.0% · vs analysts: inline · priced in: medium (model's call-read: high; verdict above is the hard-data one used for ranking) · confidence: 6/10

ClaimFigureArithmeticNext-FY Rev %Next-FY EPS %
AI micro-pricing / pricing-algorithm benefit
revenue		$50M sequential YoY$50M / $14,431M rev = 0.346% topline. Pricing realization is near-pure incremental margin (same service, no incremental cost) -> pre-tax $50M, after-tax x0.79 = $39.5M / $1,601.8M adj NI = 2.47% EPS. (At corporate 9.59% margin it would be only 0.30%; pure-margin treatment used and stated.)0.352.47
FY2026 incremental investments (incl. AI pricing tools)
cost		$50M FY2026FY2026 opex drag (only partly AI). After-tax -$50M x0.79 = -$39.5M / $1,601.8M adj NI = -2.47% EPS (vs reported NI -2.85%). Roughly offsets the pricing benefit in 2026 per mgmt framing.0-2.47
Q1 FY2026 sales/AI-pricing investment
cost		$10M Q1Subset of the $50M FY2026 plan (NOT additive to aggregate). After-tax -$10M x0.79 = -$7.9M / $1,601.8M adj NI = -0.49% EPS. Mixed (reps, training, tools, AI), but $10M is an anchored figure -> soft=false.0-0.49
Repair organic growth ~10%/qtr (proactive, IoT-enabled)
revenue · soft		~10%Repair revenue $ base NOT disclosed in inputs, and AI/proactive-attributable fraction unclear -> cannot map 10% to consolidated $14,431M.
Subscription revenue +35% (connectivity-driven)
engagement · soft		35%Growth rate disclosed but subscription revenue $ base not in claims -> cannot compute 35% x base / $14,431M; partly historical FY2025 already in base.
Otis ONE connected units ~1.1M
engagement · soft		~1.1M unitsUnit count / enabler of predictive maintenance; no $/unit ARPU or incremental revenue disclosed -> cannot size vs $14,431M.
Otis ONE platform tenure 8-9 years
other · soft		8-9 yrsQualitative durability/maturity signal; no quantified financial bridge.

Assumptions: EPS sized vs consensus-adjusted NI $1,601.8M (FY2025 epsAvg 4.069 x ~393.7M sh), NOT GAAP $1,384M which is one-off-depressed (yields inflated EPS%). Tax 21%. AI pricing benefit treated as near-100% incremental pre-tax margin (pure price realization, negligible incremental cost), stated explicitly. The $50M FY2026 investment and the $10M Q1 figure are nested, not additive. Repair (+10%) and subscription (+35%) left unsized — no disclosed segment $ base in inputs. Phasing: full $50M pricing benefit and full $50M investment in FY2026 (H2-weighted per call). Net 2026 EPS impact ~flat: pure-margin pricing +2.47% offset by investment -2.47%.

Top line: Modest and indirect. The only hard AI revenue figure is the $50M AI-pricing benefit = 0.346% of $14,431M revenue (0.33% of consensus FY2026 rev $15,166M). The larger connectivity story (1.1M Otis ONE units driving ~10% repair organic growth and +35% subscription growth) is real and strategically central but unsized — no repair/subscription revenue base is disclosed, so it cannot be isolated from broader service growth.

Bottom line: On a gross basis AI pricing adds ~+2.47% to adjusted EPS ($39.5M after-tax on near-pure-margin price realization vs $1,601.8M adj NI), but it is ~fully offset in 2026 by the disclosed $50M incremental investment (partly AI tooling, -2.47%) -> net 2026 EPS impact roughly flat, per management's 'offset now, tailwind in H2 and 2027' framing. Sized off depressed GAAP NI the EPS% would be inflated; the adjusted base is the honest read.

Consensus FY2025->FY2026 implies ~+4.5-5% revenue ($15,166M vs $14,431M) and ~+2.9% adj EPS ($4.185 vs $4.069). The hard AI contribution — +0.35% rev, +2.47% EPS gross / ~flat net of the guided investment — fits entirely inside that trajectory; the $50M pricing benefit is only ~7-8% of the consensus revenue delta. Management explicitly guided both the pricing benefit and the investment, so consensus reflects them. Any incremental upside sits in unquantified repair/subscription growth, not in hard AI math. No gap above consensus.

MODEL CONSENSUS (impact)

partial

Both agree adopter/inline/high priced-in and on the unsized repair+subscription upside; conflict was the pricing margin assumption, resolved to pure-margin gross +2.47% but ~flat net of the guided $50M investment.

Conflicts reconciled
FieldOpus 4.8GPT-5.5
Rev uplift %0.35–
EPS uplift %2.5–
Priced inhigh–
vs analystsinline–
Confidence6–
Top lineModest and indirect. The only hard AI revenue figure is the $50M AI-pricing benefit = 0.35% of $14,431M revenue. The larger connectivity story (1.1M Otis ONE units driving ~10% repair organic growth and +35% subscription growth) is real and strategically central, but unsized here because no repair/subscription revenue base is disclosed in the inputs — so it cannot be isolated from broader service growth.–
Bottom lineAI pricing adds ~+2.5% to adjusted EPS gross ($39.5M after-tax on near-pure-margin price realization vs $1,601.8M adj NI), but it is ~fully offset in 2026 by the $50M incremental investment (partly AI tooling) — net 2026 EPS impact roughly flat, per management's own 'offset now, tailwind in H2 and 2027' framing. Sized off GAAP NI the EPS% would be inflated (~2.85%) by a depressed denominator; the adjusted base is the honest read.–
ReasoningConsensus 2026 already implies +5.1% revenue ($15,166M vs $14,431M) and +2.9% adj EPS ($4.185 vs $4.069). The hard AI contribution — +0.35% rev, +2.5% EPS gross / ~flat net of investment — fits entirely inside that trajectory. Management explicitly guided both the $50M pricing benefit and the $50M investment, so consensus reflects them. No gap above consensus.–

Rows highlighted where the two models disagreed.

QUANTIFICATIONS
Connected units (Otis ONE / IoT predictive service): ~1.1 million (Q4 FY2025, both)
“Our Otis One connected units continue to grow globally as we approached 1.1 million connected units, providing predictive maintenance, data-driven proactive repairs, and valuable application of AI for productivity and customer value.”
Subscription revenue growth (connectivity-driven): 35% (FY2025, topline)
“The growing connectivity is also driving subscription revenue, which increased 35% in 2025.”
Q1 sales investment including AI pricing algorithm: $10 million (Q1 FY2026, bottomline)
“in Q1, we invested approximately $10 million in sales capabilities in high-value markets, including tools and our AI pricing algorithm, sales representatives and training of the sales force.”
Total incremental investments (includes AI pricing tools among service growth investments): $50 million (FY2026 full year, bottomline)
“For the full year, we expect $50 million of incremental investments in 2026, inclusive of what we've executed in the first quarter.”
Micro-pricing / AI-algorithm pricing benefit: $50 million (sequential year-over-year (2026 vs prior pricing baseline), both)
“this is the $50 million improvement sequentially that I mentioned before, 1 year versus the other”
Connected units underpinning proactive repair: over 1 million / 1.1 million (Q1 FY2026, both)
“we have the ability because we have 1.1 million -- over 1 million units connected via Otis ONE.”
Proactive + reactive repair organic growth expectation: approximately 10% per quarter / teens combined (FY2026, topline)
“we expect repair organic sales to grow approximately 10%”
we maintain platform tenure: 8 or 9 years (as of Q1 FY2026, both)
“they've been doing it for almost 9 years now, 8 or 9 years”
PAST (realized)
CURRENT (now)
FORWARD (guidance)
TRACK RECORD — PROMISE vs DELIVERY

42/100 track record   mixed  6 calls reviewed

Otis rarely attaches numbers and dates to AI itself—most AI mentions are product launches (Compass Infinity dispatching, AI safety cameras, AI inspection robot/agent) without quantified delivery targets. On the few tech-enabled operational promises that appear (UpLift automation savings, connected-service repair ramp, AI-pricing-linked maintenance growth), delivery is mixed: core UpLift savings landed, but a higher savings target was walked back and a quantified repair acceleration promise missed.

UpLift $200M annual run-rate savings by H2 2025 (process/intelligent automation program) — promised Q4 FY2024
delivered Management repeatedly reaffirmed progress through 2025 and stated in Q4 FY2025 that UpLift was successfully executed, consistent with hitting the $200M run-rate target.
UpLift $230M annual run-rate savings by end of FY2025 — promised Q1 FY2025
quietly-dropped By Q2 FY2025 guidance reverted to a $200M (not $230M) year-end run-rate target and the $230M figure was never cited again.
Repair organic sales 10%+ growth in Q4 FY2025 (proactive/connected-service model) — promised Q3 FY2025
missed Q4 FY2025 reported repair growth only in the mid-single digits—explicitly softer than the 10%+ Q4 guide—despite later framing repair as Otis ONE connectivity-driven.
Modernization ~10% organic sales growth in FY2025 — promised Q2 FY2025
partial Backlog execution accelerated in H2 (Q3 +14%, Q4 +9%) but management never confirmed hitting ~10% for the full year in later calls.
Maintenance organic sales back to 3% in FY2026 via AI pricing algorithm rollout — promised Q1 FY2026
too-early Q1 FY2026 maintenance organic sales were ~2% with AI pricing still being rolled out; full-year outcome not yet observable in this transcript set.
Otis One connected units ~1.1M enabling predictive maintenance/AI-driven service — promised Q4 FY2025
too-early Reported approaching 1.1M connected units (from ~1M at end-2024) and 35% subscription-revenue growth in 2025, but no earlier call had set a quantified connected-unit or subscription-growth target to judge against.
PRICED-IN (REFINED)
MEDIUM

Est. revisions flat  ·  Fwd P/E 18.3  ·  EV/Sales 2.3x

AI claim maps to Services, New Equipment

Analyst ratings are not migrating up—strong buys fell from 4 to 2 while holds stayed elevated—and consensus is Hold; price targets stepped down (lastYear ~94 to lastQuarter ~90) with the stock near ~$70, so the tape is not chasing AI. Forward estimates embed only modest growth (FY25–26 EPS ~4.07 to ~4.19) rather than an AI hockey stick. At ~18.3x next-FY EPS and ~2.3x EV/Sales the multiple is fair-to-slightly rich for mature machinery but not extreme, so AI upside in predictive maintenance and field ops would most plausibly flow through Services (and secondarily smart New Equipment) without looking fully priced in—mixed signals warrant medium, not high.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
4Q4 FY20243Q1 FY20253Q2 FY20256Q3 FY20258Q4 FY20256Q1 FY2026

AI enthusiasm across 6 calls — trend ↗ rising

IoT connectivity first; then Compass Infinity AI and cameras; peak at CIIE robot, agent, and Otis One AI.

RECENT AI CATALYSTS & NEWS
BUSINESS IMPACT - QUALITATIVE MATERIALITY

6/10 qualitative impact   moderate  medium-term · mixed evidence

Where AI matters: service pricing, predictive maintenance, field ops

Otis has real AI deployment at scale—1.1M Otis ONE connected units, a quantified ~$50M sequential AI micro-pricing uplift (~0.35% of revenue), and we maintain field-learning—but consolidated financial impact is modest and 2026's $50M investment largely offsets the pricing EPS gain; repair/subscription upside from connectivity is strategically central yet financially unsized.

Caveats: Hard AI-attributable uplift is only ~$50M pricing vs ~$15B revenue; larger connectivity benefits lack disclosed revenue bases; Management missed prior quantified repair-acceleration targets, weakening credibility on AI-driven service growth; FY2026 net EPS benefit from AI pricing is roughly flat after guided $50M incremental investments; Predictive maintenance could eventually compress routine visit frequency even as Otis uses it to drive proactive repair volumes

AI DISRUPTION / CANNIBALIZATION RISK  tailwind · 2/10

Otis sells installed, safety-regulated physical elevators and on-site maintenance/repair that cannot be fully automated away; AI mainly augments dispatch, diagnostics, and proactive repair rather than commoditizing the core product. Mild long-term risk that AI-enabled third parties erode service pricing on non-captive units, but installed-base lock-in and certified mechanic networks remain durable.

OPTIONS / MARKET STRUCTURE

option liquidity: good

ATM IV
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TYPICAL BID-ASK
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OPEN INTEREST
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proxy inputs — dollar-ADV $265M · beta 0.943 · px $70.17

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
Undercutting — insiders selling, institutions trimming, management language 5/10 measured.
INSIDERS selling 5 open-market sell(s) vs 0 buy(s) — net distribution
INSTITUTIONS (13F) trimming as of 2026-03-31: 109 new / 187 closed positions; 499 increased / 476 reduced; institutional ownership -12.23pp; -71 net 13F holders
MGMT LANGUAGE 5/10 measured Sparse AI mentions; owned AI pricing spend with dollar figures; WeMaintain framed anticipatorily and long-term.
commit “in Q1, we invested approximately $10 million in sales capabilities in high-value markets, including tools and our AI pricing algorithm”
commit “For the full year, we expect $50 million of incremental investments in 2026, inclusive of what we've executed in the first quarter.”
hedge “We anticipate this transaction to contribute incremental growth”
VERBATIM AI QUOTES
“We recently announced the majority investment and we maintain a digital and AI-enabled elevator service provider.”
— Judith Marks, Q1 FY2026
“Built for residential modernization and elderly friendly living Gen 3 comfort elevators feature full-height mirrors to enhance spatial awareness, bright LED lighting to improve visibility and comfort, increased cab height for a more spacious and comfortable ride and smart recognition cameras to detect and prevent safety hazards.”
— Judith Marks, Q1 FY2026
“in Q1, we invested approximately $10 million in sales capabilities in high-value markets, including tools and our AI pricing algorithm, sales representatives and training of the sales force.”
— Judith Marks, Q1 FY2026
“Additionally, we're investing in micro pricing capabilities.”
— Judith Marks, Q1 FY2026
“By leveraging insights from Otis ONE connectivity together with our unique capabilities from factory to the front line, we are proactively driving repair volumes and reducing customer downtime.”
— Judith Marks, Q1 FY2026
“we have the ability because we have 1.1 million -- over 1 million units connected via Otis ONE. The ability to predictively understand when an elevator is going to shut down or have an issue, and we have the ability to get to a customer before that and repair it so that they don't have a shutdown.”
— Judith Marks, Q1 FY2026
“This is a digitally native ecosystem that was started in late 2017 that operates in at least 4 other countries right now that integrates a digitally native mechanic with an ecosystem that uses machine learning and AI to really drive more customer centricity and to learn with every repair they make, every maintenance visit they make.”
— Judith Marks, Q1 FY2026
“It's truly integrated in terms of the knowledge learning and the immediate sharing across their entire mechanic base.”
— Judith Marks, Q1 FY2026
“which is different than just putting a piece of a genic AI out for repair technicians and maintenance technicians.”
— Judith Marks, Q1 FY2026
“One is the micro pricing that we started last year and this is essentially thanks to our AI algorithm, thanks to a much more value-add approach to pricing, we are able to adapt our price to customer perception to customer SMAs. So we don't follow the same approach for all and this is the $50 million improvement sequentially that I mentioned before, 1 year versus the other because this comes on top of the regular inflationary clauses we have in our contracts.”
— Cristina Mendez, Q1 FY2026
“new AI tools, including the Otis AI inspection robot and the Otis AI agent, to enhance safety, diagnostics, and real-time collaboration.”
— Judith Marks, Q4 FY2025
“These solutions bring AI-driven safety, connected service capabilities, and enhanced accessibility to customers and passengers, supporting urban renewal and aging communities.”
— Judith Marks, Q4 FY2025
“Gen3 builds on our Gen2 platform and comes standard with Otis One, our Internet of Things connectivity solution, enabling predictive maintenance, real-time health monitoring, and remote intervention, which improves uptime and service quality.”
— Judith Marks, Q4 FY2025
“Our Otis One connected units continue to grow globally as we approached 1.1 million connected units, providing predictive maintenance, data-driven proactive repairs, and valuable application of AI for productivity and customer value.”
— Judith Marks, Q4 FY2025
“The growing connectivity is also driving subscription revenue, which increased 35% in 2025.”
— Judith Marks, Q4 FY2025
“We are also connecting units with IoT, more than 1,100,000 or 1,100,000 units in 2025.”
— Cristina Mendez, Q4 FY2025
ANALYST QUESTIONS ON AI
Q (Q1 FY2026, Jeffrey Sprague): Maybe just sort of address that and what you see them bringing to the table specifically for Otis.
A: we maintain is a digitally native ecosystem ... that integrates a digitally native mechanic with an ecosystem that uses machine learning and AI to really drive more customer centricity and to learn with every repair they make, every maintenance visit they make ... it complements what we do on Otis ONE ... gives us even more access to non-Otis units.
Q (Q1 FY2026, Jeffrey Sprague): Is there something that they have done or are doing, though that would suggest it's not I guess easy or likely that someone else replicates us using AI tools.
A: they've been doing it for almost 9 years now, 8 or 9 years, which is different than just putting a piece of a genic AI out for repair technicians and maintenance technicians. It's truly integrated in terms of the knowledge learning and the immediate sharing across their entire mechanic base ... this was born this way.
Q (Q1 FY2026, Julian Mitchell): the price sort of cost headwinds or price net of labor, materials, fuel and so on in service, is that a big lever sort of turning around as we move through the year or not really?
A: price for us is a tremendous tailwind this year ... micro pricing ... essentially thanks to our AI algorithm ... $50 million improvement sequentially ... in the second half of the year, in a nutshell, pricing is going to be a tremendous tailwind both from macro pricing and from the Middle East inflation pass-through.
Q (Q1 FY2026, Alexander Virgo): talk a little bit about the repair business ... visibility and the sort of the lead times ... how you can underpin that 10% for the rest of the year
A: proactive repair ... because we have 1.1 million -- over 1 million units connected via Otis ONE. The ability to predictively understand when an elevator is going to shut down or have an issue ... When you add the reactive and the proactive, we believe that's somewhere in the teens, that growth rate.