← back to rankingSN · SharkNinja, Inc.
Furnishings, Fixtures & Appliances · mkt cap $17.3B · calls: Q1 FY2026 vs Q4 FY2025
50.0 conviction · conf-adj 47
conf 3/10 partial
enthusiasm:30.0 · trend:8 · quantifies:5 · impact:0 · under_radar:0 · credibility:0 · business_impact:4 · disruption:0 · commitment:0 · confirmation:3
Enthusiasm latest 10 / prev 7 (rising)
SharkNinja’s AI story shifted from Q4’s mix of in-product roadmap (2026 coffee/air/robotics), contact-center AI scoring, and social ROI tools to Q1’s culture-led JailBreak program spanning insights, product, marketing, ops, and supply chain—with no P&L attribution yet. Management quantifies adoption scale (150+ ideas, HackWeek project counts, 100 engineers, 5%→~100% call scoring) but not revenue, margin, or headcount savings from AI. Credibility is stronger on internal enablement and near-term marketing analytics than on monetized product AI, which remains forward-looking.
GROUNDED NEXT-FY IMPACT vs CONSENSUS
Grounded on actual base — revenue $6.4B · net income $0.7B · net margin 11.0% · diluted EPS 4.94
These are next-fiscal-year annual uplift estimates, not next-quarter numbers.
Aggregate next-FY est. rev uplift: 0.0% · next-FY EPS uplift: -0.11% · vs analysts: behind · priced in: high · confidence: 3/10
| Claim | Figure | Arithmetic | Next-FY Rev % | Next-FY EPS % |
|---|
Contact-center AI call scoring coverage: <5% -> ~100%
productivity · soft | under 5% -> nearly 100% coverage | Coverage/quality ratio only; no contact-center spend, FTE count, or savings $ disclosed anywhere in the claims, so after_tax_saving = saving_$ x 0.79 is uncomputable. Operational efficiency, not a sized P&L item. | | |
Hire 100 AI software engineers
cost · soft | 100 new software engineers | Incremental opex (a drag), not a saving; headcount disclosed but no loaded $/FTE in any claim, so cost cannot be sized from inputs (illustrative only, not aggregated: 100 x $200K = $20.0M; after-tax @21% = $15.8M -> -2.25% EPS). Unanchored. | | |
JailBreak: 150+ employee submissions
engagement · soft | >150 submissions | Internal-engagement count with no revenue line or take-rate to map to. Unanchored. | | |
JailBreak $1M prize fund
cost | $1,000,000 | Anchored figure -> HARD. One-time next-FY opex drag, not uplift: $1M x (1-0.21) = $0.79M after-tax; rev impact = 1M / 6,399.188M = 0.016% (~0%); eps drag = -0.79M / 701.374M GAAP NI = -0.11%. Immaterial. | 0 | -0.11 |
JailBreak Live HackWeek: 20 cross-functional + 400+ departmental projects
engagement · soft | 20 / 400+ projects | Project/participation counts. No revenue or saving attached to any specific project. Unanchored. | | |
AI-enabled categories (coffee, air purification, robotics) as early as 2026
revenue · soft | no $ figure | Directional product-roadmap statement with no incremental revenue, ASP uplift, or unit/share figure. 100 x claim_$ / 6,399.188M is uncomputable with no claim_$. Vague/unanchored. | | |
Assumptions: Tax rate 21% (default). EPS sized vs GAAP NI $701.374M (EPS $4.94); consensus FY25 adj EPS 5.15 / adj NI ~$732M is ~4% higher but not distorted enough to null sizing — both bases give ~-0.1%, immaterial. Incremental net margin (10.96% = 701.374M/6,399.188M) computed but NOT invoked, as no revenue claim is anchored. Phasing: $1M JailBreak prize = one-time FY2026 opex; no multi-year dollar claim exists to allocate. 100-engineer hire un-$-anchored, not aggregated. All claims adopter-side; no supplier-side AI-compute/silicon revenue.
Top line: Zero hard next-FY revenue uplift: every topline-tagged AI claim (new coffee/air-purification/robotics categories; AI insights/demand-gen) is directional with no attached $, unit, or ASP. No anchored claim_$ to run 100 x claim_$ / $6,399.188M against; AI is a capability layer, not a quantified new revenue stream. 0% vs consensus FY26 revenue +~13% (+$838M to $7.22B).
Bottom line: Only HARD dollar item across all claims is the $1M JailBreak prize fund — investment spend, not a saving: $1M x 0.79 = $0.79M after-tax = -0.11% of NI; rev impact 0.016%. Immaterial vs consensus FY26 net-income step-up (~+$141M, +19%). Contact-center scaling and 100 new engineers are real operational moves but carry no disclosed cost base, so no after-tax EPS effect can be sized. Net quantifiable bottom-line is a trivial AI-investment drag (~-0.1%), not accretion.
Adopter-side hard math sums to 0% rev and -0.11% EPS vs FY25 base. Consensus already embeds ~+13% revenue ($6.39B->$7.22B) and +18.9% adj EPS ($5.15->$6.13) WITHOUT any disclosed AI $ bridge; quantified AI is engagement/ops narrative plus ~$1M program cost, not incremental to those deltas. With no quantified uplift exceeding consensus, AI benefit is necessarily already folded into the existing double-digit trajectory.
MODEL CONSENSUS (impact)
partial
Math rows agree; only the $1M prize is HARD (-0.11% EPS). No anchored revenue claim, so topline AI uplift is effectively nil and behind consensus.
Conflicts reconciled
- est_rev_uplift_pct: X=null vs Y=0 -> used 0 because a HARD row (the $1M prize) exists and contributes 0% revenue, making the sum quantifiable rather than unsizeable
- vs_analyst_expectations: X=unclear vs Y=behind -> used behind because Y's arithmetic (0%/-0.11% AI math vs consensus already pricing big growth with no AI bridge) is better justified and more conservative
- confidence: X=3 vs Y=4 -> used 3 (lower) per verdict disagreement and conservative tie-break
| Field | Opus 4.8 | GPT-5.5 |
|---|
| Rev uplift % | – | – |
| EPS uplift % | -0.11 | – |
| Priced in | high | – |
| vs analysts | unclear | – |
| Confidence | 3 | – |
| Top line | Not estimable. Every topline-tagged AI claim (new categories in coffee/air-purification/robotics; AI-driven insights and demand-gen) is directional with zero attached revenue, unit, or ASP figure. There is no anchored claim_$ to run 100 x claim_$ / $6,399.188M against, so est_rev_uplift_pct is null — inventing one would violate the no-fabrication rule. AI is described as a capability layer across the business, not a quantified new revenue stream for the next fiscal year. | – |
| Bottom line | The only HARD dollar figure across all claims is the $1M JailBreak prize fund, which is investment spend, not a saving: $1M x 0.79 = $790k after tax = -0.11% of NI; rev impact 0.016%. Both are immaterial. The contact-center scaling (<5% -> ~100% scoring) and the 100 new engineers are real operational moves but carry no disclosed cost base or saving figure, so no after-tax EPS effect can be sized. Net quantifiable bottom-line impact is a trivial AI-investment drag (~-0.1%), not transformational accretion. | – |
| Reasoning | Consensus already assumes robust growth without any AI line item: revenue $6,399.188M (FY25) -> $7,224.301M (FY26) = +12.9%, and adjusted EPS 5.15 -> 6.13 (+18.9%) -> 6.98 (+14.0%). SharkNinja's AI disclosures contain no anchored revenue or cost-saving dollars, so there is nothing to add ABOVE that trajectory — the only computable AI figure is a ~-0.11% prize-fund drag. With no quantified uplift exceeding consensus, any AI benefit is necessarily folded into the existing double-digit growth already in the model; the gap vs consensus is effectively zero/un-sizeable. | – |
Rows highlighted where the two models disagreed.
QUANTIFICATIONS
Contact center call AI quality scoring coverage: under 5% → nearly 100% (Completed by Q4 FY2025 (vs. prior sampling), bottomline)
“As an example, we moved from sampling under 5% of contact center calls to AI scoring nearly 100% of interactions for quality, empathy, and listening.”
Software engineering headcount for AI: 100 new software engineers (On track (stated Q4 FY2025), both)
“We're on track to hire 100 new software engineers to help drive this AI ambition.”
JailBreak employee submissions: Over 150 (Current as of Q1 FY2026, both)
“JailBreak is spreading across SharkNinja like wildfire. Over 150 employee submissions and counting.”
JailBreak prize fund: $1 million (Program commitment referenced Q1 FY2026, both)
“[ Fast Company ] and others have since covered the program and the $1 million price fund we've committed to back it up.”
JailBreak Live HackWeek project count: 20 cross-functional; 400+ departmental (Completed week before Q1 FY2026 call, both)
“We identified 20 cross-functional projects, spanning product development and quality, to commercial and revenue and supply chain and operations and so much more. We also hacked on over 400 departmental projects that engage thousands of people across the world.”
AI-enabled product categories (forward): coffee, air purification, robotics (As early as 2026, topline)
“some of which will debut as early as 2026 in categories like coffee, air purification, and robotics.”
PAST (realized)
- Q4 FY2025 — Mark Barrocas: Leaned in materially with AI in 2025 across product innovation and consumer experience.
- Q4 FY2025 — Mark Barrocas: Moved contact center quality monitoring from sampling under 5% of calls to AI scoring nearly 100% of interactions.
- Q4 FY2025 — Adam Quigley: Internally developed more sophisticated social media optimization tools that improved efficiency of social ad spend and ROI (vs. prior year).
CURRENT (now)
- Q1 FY2026 — Mark Barrocas: Rapid, company-wide AI adoption via JailBreak; 150+ employee submissions; JailBreak Live HackWeek with 20 cross-functional and 400+ departmental projects engaging thousands.
- Q1 FY2026 — Mark Barrocas: Product innovation benefiting from deeper consumer insights; operational productivity gains; unlocking insights and freeing time from mundane tasks.
- Q1 FY2026 — Mark Barrocas: Training/resources scaling AI adoption; recruiting "AI Sharks."
- Q1 FY2026 — Adam Quigley: Organization energized post–JailBreak/HackWeek with high-impact work streams to pursue.
FORWARD (guidance)
- Q4 FY2025 — Mark Barrocas: Embed greater AI in products; some capabilities debut as early as 2026 in coffee, air purification, and robotics; hire ~100 software engineers for AI ambition; AI for intelligent UIs, automation, and app companions.
- Q4 FY2025 — Mark Barrocas: Apply AI to large consumer-insight datasets for faster, more precise innovation and messaging.
- Q1 FY2026 — Mark Barrocas: Expect AI to touch every part of the business (insights, product dev, marketing/demand gen, supply chain, omnichannel).
- Q1 FY2026 — Mark Barrocas: AI/technology in media and marketing expected to be transformational, especially into Q4; tools to link content to cross-channel/cross-market demand and improve media efficiency (without promising long-term media leverage).
TRACK RECORD — PROMISE vs DELIVERY
—/100 (no quantified promises) too-early 6 calls reviewed
Across six calls SharkNinja only began making quantified AI commitments in Q4 FY2025; earlier periods had product automation narrative but no numeric AI targets. Judgeable cross-call delivery is essentially absent—one same-quarter ops metric claimed done, while hiring and product AI milestones remain too early to score.
Hire 100 new software engineers to drive AI ambition — promised Q4 FY2025
too-early Q1 FY2026 highlighted JailBreak and AI Sharks recruiting but did not report hiring progress or headcount toward the 100-engineer target.
Embed AI in products debuting as early as 2026 (coffee, air purification, robotics) — promised Q4 FY2025
too-early Through Q1 FY2026 management had not cited shipped AI-enabled SKUs in those categories; the stated 2026 milestone window remains open.
Expand contact-center QA from sampling under 5% of calls to AI scoring nearly 100% — promised Q4 FY2025
delivered Reported as already achieved in the same Q4 FY2025 call (not a prior-quarter pledge); no later-call verification or walk-back.
$1 million JailBreak prize fund to reward employee AI breakthrough solutions — promised Q1 FY2026
too-early Fund and program cited as launched with 150+ submissions and HackWeek activity; no earnings-call metric yet on payouts or measured business impact.
PRICED-IN (REFINED)
HIGH (already in)Est. revisions rising · Fwd P/E 23.1 · EV/Sales 2.6x
AI claim maps to Cleaning Appliances, Cooking and Beverage Appliances, Beauty and Home Environment Appliances
Price targets stair-step higher (lastMonthAvg $161 > lastQuarter $153 > lastYear $145.46), and the forward curve already embeds double-digit revenue and EPS growth through 2027, while ratings stay max-bullish and stable (10–11 buys, 1 hold)—so estimate momentum is up, not idle. At ~23x next-FY EPS and ~2.6x EV/sales with a ~1.7 PEG, the multiple is premium vs a typical mature appliances name, so much of the growth/AI narrative is already in consensus and valuation. AI-driven product or efficiency upside would most plausibly show up in Cleaning (robotics), Cooking (smart kitchen), and the fastest-growing Beauty/Home Environment lines, which are already contributing to the raised outlook.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
4Q4 FY20243Q1 FY20254Q2 FY20253Q3 FY20258Q4 FY20259Q1 FY2026
AI enthusiasm across 6 calls — trend ↗ rising
Little AI talk until Q4 FY2025; then enterprise AI with product roadmap, ops wins, and JailBreak in Q1 FY2026.
RECENT AI CATALYSTS & NEWS
BUSINESS IMPACT - QUALITATIVE MATERIALITY
5/10 qualitative impact moderate medium-term · mixed evidence
Where AI matters: marketing analytics, ops QA, forward product AI
Deployed ops wins (call QA to ~100%, social ROI tools) and JailBreak scale are real but management discloses no revenue, margin, or savings bridge; product AI and transformational media claims are forward-looking with zero sized FY uplift versus consensus double-digit growth.
Caveats: No P&L attribution despite peak narrative enthusiasm; 100-engineer AI hire is unquantified opex drag; 2026 coffee/air/robotics AI SKUs not yet shipped; Mgmt explicitly does not promise long-term media leverage from AI
AI DISRUPTION / CANNIBALIZATION RISK tailwind · 2/10
Revenue is branded physical appliances and innovation velocity, not billable hours or content; AI mainly improves insights, marketing efficiency, and future smart SKUs without commoditizing the core hardware customers buy.
OPTIONS / MARKET STRUCTURE
option liquidity: good
proxy inputs — dollar-ADV $273M · beta 1.33 · px $119.21
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 6/10 measured.
INSIDERS selling 12 open-market sell(s) vs 0 buy(s) — net distribution
INSTITUTIONS (13F) adding as of 2026-03-31: 107 new / 70 closed positions; 287 increased / 133 reduced; institutional ownership +1.26pp; +40 net 13F holders
MGMT LANGUAGE 6/10 measured Owns JailBreak rollout with scale metrics; business impact framed with early signs, can, and long game.
commit “In a short time, SharkNinja has rapidly and comprehensively embrace AI across the board.”
commit “Over 150 employee submissions and counting.”
commit “the $1 million price fund we've committed to back it up”
VERBATIM AI QUOTES
“But there's another force at play here, one that will profoundly reshaped everything going forward, artificial intelligence.”
— Mark Barrocas, Q1 FY2026
“In a short time, SharkNinja has rapidly and comprehensively embrace AI across the board.”
— Mark Barrocas, Q1 FY2026
“We expect AI will touch every part of our business: consumer insights, product development, marketing and demand generation, supply chain and our omnichannel strategy.”
— Mark Barrocas, Q1 FY2026
“To unleash this vision, we've launched a company-wide initiative called JailBreak SharkNinja.”
— Mark Barrocas, Q1 FY2026
“Instead, our program incentivizes broad-based experimentation by proliferating AI tools and trainings company-wide.”
— Mark Barrocas, Q1 FY2026
“Our product innovation engine is benefiting from deeper consumer insights all the way through the development process.”
— Mark Barrocas, Q1 FY2026
“We're getting smarter at creating consumer demand with tools to improve our content and the efficiency of our media dollars.”
— Mark Barrocas, Q1 FY2026
“Operationally, we're discovering meaningful productivity gains.”
— Mark Barrocas, Q1 FY2026
“And across the business, we're unlocking intelligent insights we couldn't access before.”
— Mark Barrocas, Q1 FY2026
“Most importantly, we're freeing up time spent on mundane tasks to focus on strategic thinking to deliver real insights.”
— Mark Barrocas, Q1 FY2026
“JailBreak is spreading across SharkNinja like wildfire. Over 150 employee submissions and counting.”
— Mark Barrocas, Q1 FY2026
“We identified 20 cross-functional projects, spanning product development and quality, to commercial and revenue and supply chain and operations and so much more.”
— Mark Barrocas, Q1 FY2026
“We also hacked on over 400 departmental projects that engage thousands of people across the world.”
— Mark Barrocas, Q1 FY2026
“First, we're investing in training and other resources to scale company-wide AI adoption from beginners to super users.”
— Mark Barrocas, Q1 FY2026
“Second, we're actively recruiting the next generation of AI talent, who we call AI Sharks.”
— Mark Barrocas, Q1 FY2026
“That's exactly why we're all in on AI and the JailBreak SharkNinja initiative.”
— Mark Barrocas, Q1 FY2026
“I'd like to echo the enthusiasm that Mark just shared coming out JailBreak and HackWeek.”
— Adam Quigley, Q1 FY2026
“Look, I think the work that we're doing with AI and technology on our media and marketing space is going to be transformational to the business, I mean, particularly as we get into Q4.”
— Mark Barrocas, Q1 FY2026
“We also leaned in materially with artificial intelligence, from product innovation to consumer experience.”
— Mark Barrocas, Q4 FY2025
“Our goal is to embed a greater level of AI capabilities in all of our products going forward, some of which will debut as early as 2026 in categories like coffee, air purification, and robotics.”
— Mark Barrocas, Q4 FY2025
“We're on track to hire 100 new software engineers to help drive this AI ambition.”
— Mark Barrocas, Q4 FY2025
“From more intelligent user interfaces to greater automation, to app-based companion features, we believe consumer experience is another rich area of AI-powered potential.”
— Mark Barrocas, Q4 FY2025
“As an example, we moved from sampling under 5% of contact center calls to AI scoring nearly 100% of interactions for quality, empathy, and listening.”
— Mark Barrocas, Q4 FY2025
“Additionally, we feel the massive amount of consumer insight data that SharkNinja processes can benefit from AI applications. Our objective is faster, more precise product innovation to improve messaging and content to resonate in a stronger way with consumers.”
— Mark Barrocas, Q4 FY2025
“Relative to last year, we have internally developed more sophisticated social media optimization tools. These help us more efficiently spend advertising dollars in social channels to drive strong ROI.”
— Adam Quigley, Q4 FY2025
ANALYST QUESTIONS ON AI
Q (Q1 FY2026, Steven Forbes): Asked for an update on brand affiliate plans, refining partners, and whether advertising leverage can continue while stimulating demand (following discussion of surging social engagement).
A: Mark Barrocas: "Look, I think the work that we're doing with AI and technology on our media and marketing space is going to be transformational to the business, I mean, particularly as we get into Q4. Understanding how TikTok Shop also drives demand off platform. Understanding how median one market drives demand in another market. There is so much what we're putting out into the world, I think we're now getting the tools to kind of understand how one piece of content kind of impacts our business in lots of different ways. I think it's going to help us drive media efficiency. But also I don't think, Steve, that we should think of it is that we're going to get media leverage on a long-term basis."
Q (Q4 FY2025, Phillip Blee): Asked how smarter social spend and affiliate efforts affect marketing effectiveness and whether sales and marketing as a percent of sales should stay flattish.
A: Adam Quigley cited Q4 sales-and-marketing leverage driven by "media optimization type efforts" and regional allocation between media and price/promo, plus scale benefits from global campaigns; did not use the word "AI" in the answer. Mark Barrocas had earlier tied demand-generation analytics to getting "much more sophisticated" (influencer/country tracking) in the same Q&A block with Andrew Tadora, without saying "AI."