← back to rankingKNX · Knight-Swift Transportation Holdings Inc.
Trucking · mkt cap $12.6B · calls: Q1 FY2026 vs Q4 FY2025
7.0 conviction · conf-adj 7
conf –
enthusiasm:9.0 · trend:-5 · quantifies:0 · impact:0 · under_radar:0 · credibility:0 · business_impact:4 · disruption:0 · commitment:-4 · confirmation:3
Enthusiasm latest 3 / prev 5 (falling)
KNX's AI story is narrowly operational: driver-recruiting lead response, logistics cost/responsiveness, cross-brand capacity matching, routing/fuel optimization, auto-planning, and future G&A efficiency — not a customer-facing AI product or autonomy narrative. Enthusiasm fell from Q4 to Q1 as detailed rollout language gave way to a single live use case (recruiting) plus a repeated 2026 earnings-contribution pledge. Credibility is moderate on intent but weak on proof: management names specific tools and a 2026 benefit window yet provides zero quantified AI impact on revenue, margin, headcount, or productivity.
PAST (realized)
- Q4 FY2025 — Andrew Hess: "we spent most of 2025 developing the capability to match up our demand between our different brands, between our large truckload brands and even LTL and truckload to find efficiencies where there's excess capacity in one place and demand, we can match them up. That is not a toolkit we've had at scale with the level of sophistication that we're going to go into this next cycle with."
- Q4 FY2025 — Andrew Hess (adjacent to AI/G&A): "in the truckload space, we're about 5% down on nondriver headcount after doing 5% or so the year before" (cost reduction cited alongside, not attributed as realized AI savings)
CURRENT (now)
- Q1 FY2026 — Adam Miller: "We're leveraging AI to ensure that we're very quick to react to leads as they come in."
- Q4 FY2025 — Andrew Hess: "we're working with our drivers to create new routing and fuel optimization processes to really get more efficient in our routes and identify the lowest cost fueling solutions. So we have technology that we are deploying that is largely going to benefit us in 2026."
- Q4 FY2025 — Adam Miller: "And we have API, we have algorithms that we can adjust on the fly if we see the market changing."
- Q4 FY2025 — Andrew Hess: "The key levers are intentional leadership to drive powerful collaboration and deploying technology to foster seamless connectivity. Leveraging excess capacity in one brand against excess demand in another effectively increases our ability to search and capture a greater share of market opportunities while solving internal network imbalances."
FORWARD (guidance)
- Q1 FY2026 — Brad Stewart: "This team is now further leveraging technology take cost efficiencies to a new level as well as to improve our responsiveness and our ability to capture opportunities in the marketplace, which we expect will contribute to our earnings in 2026."
- Q4 FY2025 — Adam Miller: "We have been investing in internal development and external products to facilitate tech-enabled efficiency gains as well as better revenue capture, including through AI and other methods. We expect the benefits to begin to be realized in 2026 as we more fully roll out these technologies and as an improving marketplace provides us opportunity to scale more efficiently."
- Q4 FY2025 — Brad Stewart: "This team is now further leveraging technology to take cost efficiencies to a new level as well as to improve our responsiveness and ability to capture opportunities in the marketplace, which we expect will contribute to earnings in 2026."
- Q4 FY2025 — Andrew Hess: "another project that we're really encouraged by some additional tools to drive advanced auto planning technology to just help us optimize our freight routing and load assignments. We think this has a chance to really help us drive driver and asset utilization and reduce deadhead and just improve our overall network efficiency."
- Q4 FY2025 — Andrew Hess: "A lot of the AI initiatives that we've made reference to or we're rolling out in 2026 are really going to help us identify opportunities in G&A."
TRACK RECORD — PROMISE vs DELIVERY
—/100 (no quantified promises) no-quantified-promises 6 calls reviewed
Across six calls Knight-Swift discusses technology harmonization, routing/planning software, trailer tracking, and AI-enabled efficiency, but never states a numeric AI target with a deadline (e.g., % cost cut, $ savings, or productivity gain by a specific quarter). The closest items—AI/tech benefits 'beginning in 2026' and LTL margin expansion from new software—lack quantified metrics, so there is no auditable promise-vs-delivery record in this set.
PRICED-IN (REFINED)
HIGH (already in)Est. revisions rising · Fwd P/E 186.6 · EV/Sales 2.0x
AI claim maps to Revenue, excluding truckload fuel surcharge
Rating migration is bullish: hold counts fell from six (Jan–Mar) to three (Apr–Jun) while buys stayed elevated, and price targets stair-step higher (lastMonthAvg 84.5 > lastQuarter 75.2 > lastYear 62.5). Consensus already bakes meaningful EPS recovery (FY2024–FY2025 EPS ~1.04 to ~1.33) on roughly flat ~$7.5B revenue. Valuation is stretched versus a mature trucker (fwd P/E 186.6 on depressed next-FY EPS, TTM P/E ~371, EV/Sales 2.0, EV/EBITDA ~15x), so multiple expansion plus rising estimates suggest much AI/efficiency upside is already in the price. That thesis maps to core truckload revenue ex fuel surcharge—not pass-through fuel surcharge—where the market is already paying up.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
3Q4 FY20243Q1 FY20252Q2 FY20253Q3 FY20255Q4 FY20252Q1 FY2026
AI enthusiasm across 6 calls — trend → flat
AI surfaced once in Q4 FY2025 for 2026 rollouts; otherwise only vague tech, platforms, and cost initiatives.
RECENT AI CATALYSTS & NEWS
BUSINESS IMPACT - QUALITATIVE MATERIALITY
5/10 qualitative impact moderate medium-term · soft evidence
Where AI matters: ops cost, dispatch, recruiting workflow
Management cites real but narrow deployments—AI lead response in recruiting, routing/fuel optimization, cross-brand capacity matching, and planned G&A/auto-planning tools—with a 2026 earnings benefit pledge but no disclosed savings, margin, or productivity metrics.
Caveats: Zero quantified AI impact despite repeated 2026 benefit language; Disclosure enthusiasm and specificity fell from Q4 FY2025 to Q1 FY2026; Long-term autonomous and digital-freight matching could compress driver-dependent and brokerage economics; Efficiency gains may be competed away in a cyclical truckload rate environment
AI DISRUPTION / CANNIBALIZATION RISK tailwind · 3/10
KNX sells physical truck capacity and miles, not billable knowledge work; near-term AI is an internal cost and utilization lever, while autonomous substitution and digital-brokerage commoditization remain long-dated and not yet eroding core asset-based haulage economics in disclosed operations.
OPTIONS / MARKET STRUCTURE
option liquidity: good
proxy inputs — dollar-ADV $328M · beta 1.153 · px $77.64
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 1/10 hedged.
INSIDERS selling 9 open-market sell(s) vs 0 buy(s) — net distribution
INSTITUTIONS (13F) adding as of 2026-03-31: 106 new / 61 closed positions; 304 increased / 121 reduced; institutional ownership -4.27pp; +30 net 13F holders
MGMT LANGUAGE 1/10 hedged Prepared remarks contain no AI/ML/automation statements; transcript ends before Q&A.
VERBATIM AI QUOTES
“This team is now further leveraging technology take cost efficiencies to a new level as well as to improve our responsiveness and our ability to capture opportunities in the marketplace, which we expect will contribute to our earnings in 2026.”
— Brad Stewart, Q1 FY2026
“We're leveraging AI to ensure that we're very quick to react to leads as they come in.”
— Adam Miller, Q1 FY2026
“We have been investing in internal development and external products to facilitate tech-enabled efficiency gains as well as better revenue capture, including through AI and other methods. We expect the benefits to begin to be realized in 2026 as we more fully roll out these technologies and as an improving marketplace provides us opportunity to scale more efficiently.”
— Adam Miller, Q4 FY2025
“The key levers are intentional leadership to drive powerful collaboration and deploying technology to foster seamless connectivity. Leveraging excess capacity in one brand against excess demand in another effectively increases our ability to search and capture a greater share of market opportunities while solving internal network imbalances. To be certain, we have leaned on each other before, but for these advances -- but these advances make such practices systemic, more responsive and scalable.”
— Andrew Hess, Q4 FY2025
“This team is now further leveraging technology to take cost efficiencies to a new level as well as to improve our responsiveness and ability to capture opportunities in the marketplace, which we expect will contribute to earnings in 2026.”
— Brad Stewart, Q4 FY2025
“And we have API, we have algorithms that we can adjust on the fly if we see the market changing.”
— Adam Miller, Q4 FY2025
“we're working with our drivers to create new routing and fuel optimization processes to really get more efficient in our routes and identify the lowest cost fueling solutions. So we have technology that we are deploying that is largely going to benefit us in 2026. I would -- but also another project that we're really encouraged by some additional tools to drive advanced auto planning technology to just help us optimize our freight routing and load assignments. We think this has a chance to really help us drive driver and asset utilization and reduce deadhead and just improve our overall network efficiency.”
— Andrew Hess, Q4 FY2025
“A lot of the AI initiatives that we've made reference to or we're rolling out in 2026 are really going to help us identify opportunities in G&A.”
— Andrew Hess, Q4 FY2025
“we spent most of 2025 developing the capability to match up our demand between our different brands, between our large truckload brands and even LTL and truckload to find efficiencies where there's excess capacity in one place and demand, we can match them up. That is not a toolkit we've had at scale with the level of sophistication that we're going to go into this next cycle with.”
— Andrew Hess, Q4 FY2025
ANALYST QUESTIONS ON AI
Q (Q1 FY2026, Scott Group (Wolfe Research)): Asked about seated tractor counts, drivers, and whether shippers are shifting toward asset-based carriers vs. brokerage — not an AI question directly.
A: Adam Miller cited recruiting investments and stated verbatim: "We're leveraging AI to ensure that we're very quick to react to leads as they come in," alongside Academy-based driver training; remainder of answer focused on shipper preference for asset-based capacity and logistics carrier vetting.
Q (Q4 FY2025, Jonathan Chappell (Evercore ISI)): As it relates to the priorities and the strategic goals, almost every single segment you highlight cost to serve, technology, automation, optimization, et cetera. So when we think about your margin progression from 1Q, do you kind of view this as all the things you're doing on the cost side and the efficiency side could make margins improve even without a true inflection of the market? Or is it more you need price, price kind of drives an exacerbated move in margins and kind of higher highs and higher lows.
A: Adam Miller: needs both price and cost; cost wins dominated recently but normalized margins require market lift. Andrew Hess: three-pronged approach — price, volume, cost per mile — with cost alone expected to drive margin expansion in 2026.
Q (Q4 FY2025, Daniel Moore (Baird)): Cost-out story — where are you with that, how much is left, and is there an opportunity to revisit early noncompensatory contract rates as the rate environment improves?
A: Adam Miller on rate fluidity and algorithms/API for market adjustment. Andrew Hess detailed routing/fuel optimization tech, advanced auto planning for freight routing and load assignments, and AI initiatives rolling out in 2026 for G&A opportunities.
Q (Q4 FY2025, Scott Group (Wolfe Research)): Do you think you can get a pricing cycle where we also get utilization at the same time? ... it sounds like you're doing some stuff on technology productivity. Like could that relationship between price and margin be much better?
A: Adam Miller: goal is price plus utilization. Andrew Hess: spent most of 2025 building cross-brand demand/capacity matching capability — "not a toolkit we've had at scale with the level of sophistication that we're going to go into this next cycle with."