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AXON · Axon Enterprise, Inc.

Aerospace & Defense · mkt cap $39.5B · calls: Q1 FY2026 vs Q4 FY2025
94.0 conviction · conf-adj 90

conf 5/10 partial

enthusiasm:30.0 · trend:8 · quantifies:12 · impact:8 · under_radar:5 · credibility:12 · business_impact:10 · disruption:0 · commitment:6 · confirmation:3

Enthusiasm latest 10 / prev 9 (rising)

Axon’s AI thesis is that its installed base of trusted sensors, evidence workflows, and public-safety data creates a defensible platform for AI products that can lift bookings, software revenue, pricing, and contract expansion. Credibility improved in Q1 FY2026 because management moved from mostly strategic framing to hard evidence: AI bookings up 140%, AI product revenue up more than 700%, Axon Assistant above 1 million uses, and nearly all large domestic law enforcement agencies including AI in purchases.

GROUNDED NEXT-FY IMPACT vs CONSENSUS

Grounded on actual base — revenue $2.8B · net income $0.1B · net margin 4.5% · diluted EPS 1.51

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

Aggregate next-FY est. rev uplift: 5.4% · next-FY EPS uplift: 6.47% · vs analysts: inline · priced in: medium (model's call-read: high; verdict above is the hard-data one used for ranking) · confidence: 5/10

ClaimFigureArithmeticNext-FY Rev %Next-FY EPS %
AI Era Plan bookings $750M (FY25, ~10% of bookings)
revenue
$750M bookingsBOOKINGS, not revenue. AI Era Plan = multi-year SaaS recognized ratably (~5yr term) -> $750M/5 = $150M/yr steady-state. Next-FY (FY26) increment: FY25 cohort moving toward full-year recognition (~+$75M) + partial-year of new faster-growing FY26 AI bookings (~+$75M) ≈ $150M incremental AI revenue. 150M/2,779.5M = 5.4% rev. @27.5% incremental NET margin (high-margin software; X used 30%, Y used 25% -> averaged) -> ~$41M incremental NI / ~$636M adjusted NI = 6.47% EPS. Treating the full $750M as revenue would be a ~27% error — it is bookings.5.46.47
AI product revenue +700% YoY (Q1 FY26)
revenue · soft
+700%Growth rate off an explicitly 'small revenue base' — absolute AI product revenue not disclosed, so cannot independently size as % of total. Corroborates the AI Era Plan ramp; not added separately to avoid double-counting.
AI bookings +140% YoY (Q1 FY26)
revenue · soft
+140%Growth rate; no clean absolute base for 'AI bookings' specifically (the $750M is AI Era Plan, a related but distinct figure / not the Q1 prior-year base). Signals acceleration that feeds future-FY revenue; soft as a standalone next-FY translation.
$150M city-council deal incl. AI Era Plan (Q1 FY26)
revenue · soft
$150MSingle multi-year deal TCV; AI-attributable portion not quantified ('included the AI Era Plan'), and it is FY26 bookings spread over the contract term — not next-FY AI revenue. Illustrative of momentum; AI dollars not isolable.
Axon Assistant: >1M uses; 500+ agencies; 200k msgs/mo
engagement · soft
1M uses / 500 agencies / 200k msgsUsage/engagement metrics with no attached revenue line, price per use/seat/message, or paid conversion; monetization runs through the AI Era Plan already sized above. No incremental revenue base obtainable.
Nearly all large agencies include AI in purchases
engagement · soft
qualitativeUnanchored attach statement; no agency count or AI dollars per agency to size.

Assumptions: All claims adopter-side (Axon selling AI built into its own public-safety products); no supplier-side revenue. Bookings→revenue: ~5-year ratable recognition; only the next-FY (FY26) recognized increment counted (~$150M), not the full $750M. Phasing: FY25 AI Era Plan cohort moves toward full-year recognition (~+$75M) plus partial-year of new FY26 AI bookings (~+$75M) ≈ $150M. Incremental net margin 27.5% (average of X's 30% high-margin-software view and Y's 25%). EPS sized off ADJUSTED net income ~$636M (≈$6.313 consensus EPS × ~100M diluted shares; X cited $640M, Y $631.3M), NOT GAAP $125M which is depressed by a negative operating line and would inflate the EPS%.

Top line: AI adds ~$150M of incremental recognized revenue next FY (the FY25 $750M AI Era Plan bookings converting ratably + early FY26 ramp), ≈5.4% of the $2,779.5M base. The +700% AI product revenue and +140% AI bookings growth corroborate the trajectory but sit on an undisclosed small base, so they sharpen direction rather than add to the dollar estimate. AI is the fastest-growing line but still a single-digit share of total revenue next year.

Bottom line: At a 27.5% incremental net margin, ~$150M of high-margin AI revenue drops ~$41M to adjusted net income, +6.47% on the ~$636M adjusted base. Against depressed GAAP NI ($125M) this would read ~33% — an artifact of a negative operating line, not real transformational impact, which is why the adjusted base is used.

Consensus already models rich growth — revenue 2,075M (FY24) -> 2,738M (FY25) is ~+32%, EPS 5.14 -> 6.31 ~+23%; the de-duplicated ~$150M AI conversion is ~5.4% of the revenue base and ~23% of the modeled revenue step, and management says nearly all large agencies now attach AI, so the ~5.4% AI contribution is largely embedded. The $750M AI bookings figure was already disclosed for FY25 and no FY26 consensus is provided, so the math shows no clear above-consensus surprise. Upside is rate-of-change optionality (AI Era Plan ~10% of bookings in year one; bookings +140%, product revenue +700%) that could overtake consensus in FY27+, but the small near-term base keeps it from beating an already-premium estimate.

MODEL CONSENSUS (impact)

partial

Agree on ~5.4% rev and $150M ratable conversion; reconciled margin (avg 27.5%), EPS (~6.47%), and chose more-conservative high priced-in.

Conflicts reconciled
FieldOpus 4.8GPT-5.5
Rev uplift %5.45.3966
EPS uplift %7.05.9398
Priced inmediumhigh
vs analystsinlineinline
Confidence56
Top lineAI adds ~$150M of incremental recognized revenue next FY (the FY25 $750M AI Era Plan bookings converting ratably + early FY26 ramp), ≈5.4% of the $2,779.5M base. The +700% AI product revenue and +140% AI bookings growth corroborate the trajectory but sit on an undisclosed small base, so they sharpen direction rather than add to the dollar estimate. AI is the fastest-growing line but still a single-digit share of total revenue next year.The only hard non-duplicate AI monetization claim is $750M of FY2025 AI Era Plan bookings. With 20% next-FY conversion, that is $150M of revenue, equal to 5.3966% of the $2.779536B revenue base. Other usage, attach, and growth metrics lack revenue bases or AI-specific deal splits.
Bottom lineAt a 30% incremental net margin, ~$150M of high-margin AI revenue drops ~$45M to adjusted net income, +7.0% on the ~$640M adjusted base. Note: against depressed GAAP NI ($125M) this would read ~36% — an artifact of a negative operating line, not real transformational impact, which is why the adjusted base is used.$150M of next-FY AI revenue at 25% incremental net margin yields $37.5M of incremental adjusted net income, or $0.375 EPS on 100M shares. That is 5.9398% of the $6.31332 adjusted EPS base. Using GAAP net income would overstate the EPS percent because GAAP earnings are depressed versus the adjusted consensus basis.
ReasoningConsensus already models rich growth — revenue 2,075M (FY24) -> 2,738M (FY25) is ~+32%, EPS 5.14 -> 6.31 ~+23%, and management says nearly all large agencies now attach AI, so a ~5.4% AI revenue contribution is largely embedded in that ~30% trajectory. The upside case is rate-of-change: AI Era Plan hit ~10% of bookings in year one and AI bookings are up 140% / AI product revenue +700% — far above the blended ~30% growth. If that compounding holds, FY27+ AI revenue overtakes what consensus bakes in; near-term (next FY) the small base keeps it from materially beating the already-premium estimate. Hence medium priced-in with embedded optionality.Consensus revenue rose from $2.074815B in 2024 to $2.738156B in 2025, a $663.340M or 31.9710% step. The de-duplicated AI revenue conversion estimate of $150M is 22.6128% of that revenue step and 5.3966% of the current revenue base. Consensus EPS rose from $5.14414 to $6.31332, a $1.16918 or 22.7284% step; the modeled AI EPS contribution is $0.375, or 32.0738% of that EPS step. Because the $750M AI bookings figure was already disclosed for FY2025 and no FY2026 consensus estimate is provided, the math does not show a clear above-consensus surprise.

Rows highlighted where the two models disagreed.

QUANTIFICATIONS
Axon Assistant usage: more than 1 million uses (as of Q1 FY2026 call, topline)
“Axon Assistant has already surpassed 1 million uses and will soon be available wherever officers work.”
AI bookings growth: up 140% (Q1 FY2026 versus Q1 FY2025, topline)
“AI bookings were up 140% versus Q1 last year and we are seeing AI move from early interest to a standard part of how large agencies think about their future technology stack.”
Large agency AI attach: nearly all large domestic law enforcement agencies (Q1 FY2026, topline)
“In fact, nearly all large domestic law enforcement agencies are now including AI in their purchases.”
AI product revenue growth: more than 700% (Q1 FY2026 year-over-year, topline)
“AI was a standout with AI product revenue growing more than 700% year-over-year.”
AI Era Plan bookings: $750 million (FY2025, topline)
“To that end, in our first full year of selling the AI Era plan, it accounted for approximately $750 million worth of bookings or about 10% of the overall bookings total.”
AI Era Plan share of bookings: about 10% (FY2025, topline)
“To that end, in our first full year of selling the AI Era plan, it accounted for approximately $750 million worth of bookings or about 10% of the overall bookings total.”
Axon Assistant agency adoption: more than 500 public safety agencies (Q4 FY2025 call, topline)
“We already have more than 500 public safety -- I'm sorry, public safety agencies live with Axon Assistant, generating more than 200,000 monthly messages.”
Axon Assistant message volume: more than 200,000 monthly messages (Q4 FY2025 call, topline)
“We already have more than 500 public safety -- I'm sorry, public safety agencies live with Axon Assistant, generating more than 200,000 monthly messages.”
AI Era Plan deal example: $150 million (Q1 FY2026 call, topline)
“And so just today, a major city in the Mid-Atlantic region, went in front of their city council and had a $150 million deal approved that included the AI Era Plan.”
PAST (realized)
CURRENT (now)
FORWARD (guidance)
TRACK RECORD — PROMISE vs DELIVERY

83/100 track record   delivers  6 calls reviewed

Axon makes relatively few hard-dated AI-specific numeric promises, but the judgeable ones — ~10% AI bookings contribution and high-30s/40%+ bookings growth for 2025 — were met or beaten, consistent with its pattern of guiding conservatively and over-delivering. The main caveats are the at-scale 911 autonomy claim (only partial evidence) and the 2028 model, which is still too early to judge.

AI bookings to contribute over 10% of US state & local bookings for full-year 2025 — promised Q3 FY2025
delivered Q4 FY2025 reported the AI Era Plan delivered ~$750M of bookings, about 10% of total company bookings in its first full year — hit.
2025 bookings growth in the high-30s% YoY, fueled by AI Era Plan momentum — promised Q2 FY2025
delivered Full-year 2025 bookings surpassed $7B, up 40%+ YoY, beating the guide.
AI Era Plan / Draft One to convert into contracted bookings in back half of 2025 — promised Q1 FY2025
delivered Q2 already booked ~$150M of AI Era Plan and FY2025 reached ~$750M, confirming the predicted acceleration.
Carbyne acquisition expected to close in early 2026, adding AI-native 911 capabilities — promised Q3 FY2025
delivered Q4 FY2025 management said the Carbyne acquisition closed that month, before Q1 FY2026.
Prepared can autonomously handle up to half of non-critical 911 calls — promised Q3 FY2025
partial Only a single-deployment 33% reduction in calls needing a human was cited; the broad 50% level was not demonstrated at scale.
~$6B revenue / 28% adj-EBITDA margin by 2028, with AI/new products as a core driver — promised Q4 FY2025
too-early Q1 FY2026 AI product revenue +700% YoY and AI bookings +140% YoY keep it on track, but the timeframe has not arrived.
PRICED-IN (REFINED)
MEDIUM

Est. revisions falling  ·  Fwd P/E 126.8  ·  EV/Sales 13.7x

AI claim maps to Software And Sensors Segment, Platform Solutions, Axon Body

Analyst rating counts are flat month to month, but price-target averages have moved lower from lastYearAvg to lastQuarterAvg to lastMonthAvg, so revision momentum is falling rather than rising. Forward revenue and EPS estimates still imply strong growth is already in consensus, while valuation is very rich at 126.8x forward P/E and 13.7x EV/Sales. AI upside would most plausibly flow through Software And Sensors Segment, Platform Solutions, and Axon Body, but because revisions are not rising despite the stretched multiple, the priced-in verdict is medium rather than high.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
8Q4 FY20248Q1 FY20259Q2 FY202510Q3 FY202510Q4 FY202510Q1 FY2026

AI enthusiasm across 6 calls — trend ↗ rising

AI moved from strategic product momentum to quantified bookings, autonomous 911 workflows, and management framing Axon as public safety's AI leader.

RECENT AI CATALYSTS & NEWS
BUSINESS IMPACT - QUALITATIVE MATERIALITY

9/10 qualitative impact   transformational  medium-term · mixed evidence

Where AI matters: public-safety software, evidence workflows, dispatch and sensor platform

AI is becoming native to Axon's core platform, not just back-office productivity: AI Era Plan bookings reached $750M/about 10% of bookings, AI bookings rose 140%, AI product revenue grew 700% off a small base, and large agencies are broadly attaching AI to purchases. The revenue base is still early, but the product direction changes report writing, real-time operations, dispatch, evidence management, and contract expansion across the franchise.

Caveats: AI revenue is still described as a small base despite high growth; Public-sector adoption may be slowed by privacy, auditability, union, or evidentiary concerns; Third-party AI vendors could commoditize narrower features like drafting, transcription, or call triage; Bookings-to-revenue conversion depends on contract duration, deployment pace, and agency budgets

AI DISRUPTION / CANNIBALIZATION RISK  tailwind · 2/10

AI does not obviously commoditize Axon's core model because the moat is trusted devices, law-enforcement workflows, evidence data, procurement relationships, and compliance-heavy integration. Generic AI may pressure standalone report-writing or transcription features, but it is unlikely to replace the full sensor-to-evidence public-safety operating system.

OPTIONS / MARKET STRUCTURE

option liquidity: good

ATM IV
TYPICAL BID-ASK
OPEN INTEREST

proxy inputs — dollar-ADV $532M · beta 1.435 · px $490.12

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 selling, institutions adding, management language 8/10 committed.
INSIDERS selling 76 open-market sell(s) vs 0 buy(s) — net distribution
INSTITUTIONS (13F) adding as of 2026-03-31: 133 new / 230 closed positions; 557 increased / 352 reduced; institutional ownership -0.33pp; -96 net 13F holders
MGMT LANGUAGE 8/10 committed Strong ownership and quantified AI traction, with some visionary optionality around future data and positioning.
commit “AI bookings were up 140% versus Q1 last year”
commit “AI product revenue growing more than 700% year-over-year.”
commit “We expect the rapid adoption to continue as we deliver more AI-enabled capabilities into the platform”
VERBATIM AI QUOTES
“The simplest way to think about it is this: outcomes now depend on the fusion of sensors available and connected in real time, with an increasingly intelligent AI backbone.”
— Patrick Smith, Q1 FY2026
“Across AI, real-time operations, drones and connected devices were moving beyond product adoption and towards system adoption, a system that operates faster, safer and with more awareness.”
— Patrick Smith, Q1 FY2026
“Axon Assistant has already surpassed 1 million uses and will soon be available wherever officers work.”
— Patrick Smith, Q1 FY2026
“Draft One improves with every report and every sensor.”
— Patrick Smith, Q1 FY2026
“AI bookings were up 140% versus Q1 last year and we are seeing AI move from early interest to a standard part of how large agencies think about their future technology stack.”
— Joshua Isner, Q1 FY2026
“In fact, nearly all large domestic law enforcement agencies are now including AI in their purchases.”
— Joshua Isner, Q1 FY2026
“We are determined to become the AI company in public safety, and we are well on our way.”
— Joshua Isner, Q1 FY2026
“While all of our software products continue to grow, AI was a standout with AI product revenue growing more than 700% year-over-year.”
— Brittany Bagley, Q1 FY2026
“This is on a small revenue base, but is delivering on the strong bookings from last year and will continue to scale.”
— Brittany Bagley, Q1 FY2026
“For 2 years, we have recognized that for software companies to win in the age of AI, they must convert their existing customer base to AI users before someone else does.”
— Joshua Isner, Q4 FY2025
“To that end, in our first full year of selling the AI Era plan, it accounted for approximately $750 million worth of bookings or about 10% of the overall bookings total.”
— Joshua Isner, Q4 FY2025
“Axon can be the provider of the world's largest global sensor network, fully connected and supercharged by AI.”
— Patrick Smith, Q4 FY2025
“We will power the most intelligent connected safety devices globally.”
— Patrick Smith, Q4 FY2025
“We will connect those sensor devices across the full life cycle of how they're used, and we'll build AI into every workflow safely, securely and reliably.”
— Patrick Smith, Q4 FY2025
“What makes this even more powerful is, of course, AI, not bolted on after the fact, but embedded natively within the workflow and accessible directly through each device.”
— Patrick Smith, Q4 FY2025
ANALYST QUESTIONS ON AI
Q (Q1 FY2026, William Power): Probably for Rick, Josh, Jeff, whoever wants to take it, just coming out of Axon Week, a lot of focus on some of the new AI capabilities, Axon Vision, Guardian, Form One, et cetera, it would be great just to get a sense for where you saw the highest levels of customer engagement and interest.
A: Patrick Smith: "I would say, look, the keynote ran a bit long because we had so many things to talk about." He added: "I really wanted to do was to just share the breadth of everything becoming possible in every role with AI" and "the feedback I got pretty overwhelmingly from customers was that, that really hit home."
Q (Q1 FY2026, Andrew Sherman): Josh, the AI Era Plan bookings up 140%, revenue, up I think 700%. And that was a lot higher than I thought. And interesting comment on all large agencies, including that now. Maybe just expand on that.
A: Joshua Isner: "So we announced the AI Era Plan at the very, very end of 2024. So last year was a great start. We had said we had booked $750 million on it. But we certainly expect that number to keep rising, like there's more and more belief in what we're doing."
Q (Q1 FY2026, Jonathan Ho): Can you maybe talk a little bit about your AI cross-sell cadence, particularly for customers that are maybe in the middle of like the existing long-term contracts, you know, are most waiting until their contracts expire?
A: Joshua Isner: "Customers see something they like and says, okay, if I'm going to buy this, we might as well put everything together and create a new contract that contemplates all of this. And between camera upgrades, new products, urgency around AI, these are all catalysts for those conversations."
Q (Q1 FY2026, Brenden Rogers): How do you guys think about like pricing to value as you kind of furiously add these new products into the bundle like over the course of the year?
A: Joshua Isner: "So the more features we add, you should expect that to be reflected in the price as we revise it each year." Patrick Smith added: "Axon Vision is new, you didn't know about it when you signed your contract, frankly, maybe we didn't either, but you're going to get it if we're on that plan."
Q (Q4 FY2025, William Power): Just maybe to follow up on some of the AI commentary. Great to see the bookings strength there. It'd be great to get any kind of perspective on kind of what any year. I mean, I think last year was kind of the first big year for bookings, right, given when it was rolled out. Is that something that could double this year?
A: Joshua Isner: "we're in the very early innings" and "We've got a lot of pipeline ahead of us in AI, and we've got the opportunity to continue deploying more and more AI products every year into this plan."
Q (Q4 FY2025, Jonathan Ho): Can you -- I also appreciate sort of the additional detail on your AI moats. And so I wanted to start there and maybe dig in a little bit more. Can you help us understand some of the domain knowledge and data moats that you have in the AI world?
A: Jeffrey Kunins: "differentiation and success here in AI at its core in a world where everybody has access to the same commodity but very powerful frontier models is really, one, having the right physical sockets" and "The second, as you said, is ultimately about the data."
Q (Q4 FY2025, Michael Ng): just on the strategy to become the #1 global sensor network, it seems like Axon 911, building on prepared and Carbyne should be really foundational to that. Could you talk a little bit about the differentiation that you guys have relative to the incumbents?
A: Jeffrey Kunins: "what Prepared does is it is this AI-powered modern overlay that instantly adds value with almost 0 deployment complexity" and "Carbyne comes right around behind that" for customers ready to modernize call handling.