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Industry note · 2026 edition

The state of empty-leg monetization in 2026.

A long-form, modeled view of where the supply originates, who sells it, what an unsold repositioning leg actually costs, and why retail demand keeps slipping past the channels operators publish on. The numbers are directional, not audited. The argument is that the retail-side public surface for empty legs is structurally underbuilt, and the operators who fix that in 2026 compound through 2027.

Published 2026-05-02 · Modeled, not audited · Avian Hub editorial.

~30–40%

of business-aviation block hours

estimated to be repositioning legs across US and EU operators (modeled).

<10%

sell-through on most empty legs

outside the top-quartile operators with mature direct-sales motions (modeled).

5–15%

broker spread on filled empty legs

the structural reason operators undersell empty capacity to retail.

0%

commission for operators on Avian Hub

in writing, non-exclusive, while we prove the channel.

1. Where the supply is

Roughly a third of all FAA Part 135 and EASA AOC block hours are repositioning. That is not a marketing line, it is the working assumption shared across NBAA business sessions and EBAA member briefings for the better part of a decade. A jet that drops a charter in Aspen on a Friday rarely picks up the next contract from the same ramp. Somebody has to fly it home, or to the next pickup, with no revenue passenger on board. That is the empty leg, and the category exists because charter is one-way.

The capacity is real. What is missing is a public price discovery surface for it. Most of these legs are announced through phone trees, broker WhatsApp groups, and operator microsites that have no SEO surface and no syndication out to general-purpose travel search. A buyer who types ‘empty leg JFK to Aspen Friday’ into Google does not see the leg the operator is, in fact, trying to sell that exact day.

We have looked at this from both sides. On the operator side, the dispatch sheet for a mid-sized Part 135 fleet often shows three to seven repositioning legs in any given week. Most are decided 24 to 72 hours out, after the originating charter is firm. On the buyer side, search volume for the obvious one-way pairs (TEB to PBI, VNY to ASE, LTN to NCE, MIA to OPF) is non-trivial and weighted to the same Thursday-to-Sunday window. The two sides do not meet because they are not on the same surface.

The blunt summary: the category has structural inventory and almost no public price discovery. Operators cannot price what buyers cannot find, and buyers default to scheduled first-class because the alternative does not show up where they search.

2. How it gets sold today

Three channels do most of the work. First, subscription broker software, of which Avinode is the dominant US and EU example. Second, curated members marketplaces like Victor and the various jet-card programs operated by NetJets, VistaJet, and Flexjet. Third, direct broker email and WhatsApp blasts, which is still a meaningful percentage of how empty-leg inventory actually clears in 2026.

Each of these works for the buyer it was designed for. Avinode is built for broker workflows: an operator publishes inventory, brokers RFQ against it on behalf of clients, and a 5 to 15% spread sits between the operator's asking price and what the buyer pays. Victor and the jet-card books work for members who have already paid an annual fee and who expect a relationship-managed buying experience. WhatsApp blasts work for repeat retail clients who already have a broker on speed dial.

None of them is built for the searcher who arrives cold. A first-time buyer typing the route into Google, or asking a chat assistant about Friday afternoon options out of TEB, lands on aggregator content and SEO chaff before they land on actual inventory. The operator that flies the leg is invisible at the moment of intent.

This is the structural gap. Avinode is a wholesale tool, by design and pricing. Members programs are gated by relationship and minimums. WhatsApp is closed by definition. The retail-side public channel for empty legs is, in practical terms, missing. We think that is the inefficiency that compounds for the next five years, and it is the one Avian Hub is built to address.

3. The math of an unsold empty leg

Operators do not publish per-leg P&L, so the numbers below are modeled from public charter rate cards and NBAA cost-of-operation tables. They are directional, not audited. Every operator should run their own version against their actual hourly direct operating cost.

Take a Citation X repositioning from VNY to ASE. The flight is roughly 1.6 block hours. Direct operating cost (fuel, engine reserves, maintenance reserves) on a Citation X sits in the range of $3,000 to $4,000 per block hour at 2026 fuel prices, so the bare DOC of that leg is on the order of $5,000 to $6,500. Add crew duty time (two pilots on a one-way day trip, with the duty clock starting at the pre-flight), landing and handling fees at ASE, an overnight if the crew duty does not allow a same-day return, and the all-in cost of the empty leg to the operator is closer to $8,000 to $11,000 (modeled).

That cost is sunk the moment the originating charter is booked. The aircraft has to get home or to the next pickup. The question for the operator is not whether to spend the money. The question is whether to recover any of it. A leg sold to a retail buyer at $4,500, even at zero broker spread, claws back close to half of the loss. A leg flown empty claws back zero.

Now multiply across a 12-aircraft mid-sized Part 135 fleet doing 30 to 50 repositioning legs a month. At a 10% public sell-through rate, that is three to five sold legs a month, $15,000 to $30,000 of recovered revenue that was previously a write-off. At Avian Hub's zero-commission rate, the operator keeps all of it.

The other thing the math reveals: an empty leg is not a low-margin charter, it is a negative-margin charter. Every dollar of recovered revenue is incremental, not displacing a higher-margin booking. That is why the conventional ‘protect the margin’ instinct is the wrong instinct here. The margin on an unsold leg is already negative. Selling it at any positive recovery is dominant.

4. Geographic concentration of empty-leg supply

Empty-leg supply is not evenly distributed. It clusters along a small number of high-volume one-way corridors, and the clustering is predictable enough that an operator dispatcher can call it without looking at the schedule.

In the United States, the dominant patterns are Florida back to the Northeast (PBI, OPF, FXE returning to TEB, HPN, BED), Texas to California (DAL, HOU returning to VNY, BUR), and the Aspen and Mountain-West weekend corridor (ASE, EGE, JAC pulling jets from coastal hubs Thursday and Friday, returning empty Sunday and Monday). The seasonal overlay matters: PBI to TEB peaks in April and May as snowbirds head north, and the same pair runs the other direction in November and December. Aspen and the ski corridor compresses into a 16-week winter window.

In Europe, the geography is denser and the legs are shorter. Intra-continental repositioning between LTN, FAB, LBG, GVA, NCE, and MXP carries a meaningful share of EBAA-tracked block hours. The summer Mediterranean season (NCE, OLB, IBZ, JMK) generates predictable empty-leg supply on the return north. The Geneva and Zurich winter corridors mirror the Aspen pattern at smaller scale.

Transatlantic ferry repositioning is its own category. Long-range jets (Global 6000, Falcon 8X, Gulfstream G650) cross the Atlantic empty more often than the public realizes, particularly at the start and end of the European summer. These legs are large, expensive, and almost never publicly listed. They are the hardest empty-leg category to monetize on a retail surface, but they are also the ones with the largest absolute cost recovery if a corporate buyer can be matched.

The proportions matter for distribution strategy. A retail-side empty-leg surface that does not get the Florida-Northeast and Aspen corridors right is not a serious surface. Those two clusters alone are where most of the searchable buyer demand also concentrates.

5. Buyer archetypes that surface only on public channels

The conventional charter buyer is a UHNW principal with a long-standing broker relationship. That buyer is well served and is not the one we are talking about. The interesting question is who shows up on a public empty-leg surface that does not show up in a broker's inbox. There are at least five archetypes worth naming.

The CEO booking a last-minute one-way. A founder or executive with a Tuesday board meeting in another city, making the decision Sunday night, who has flown private maybe four times before and does not have a broker on retainer. They Google. They land on whatever is indexed. If the empty leg that fits their schedule is not on a public surface, they fly first-class on United and the operator flies the leg empty.

The corporate travel manager covering an executive offsite. A small set of executives flying together, point-to-point, on a date the operator already has a repositioning leg for. The travel manager is procurement-trained, comparison-shops, and will not take a phone call from a broker without a written quote. Public listing with a clear price wins this segment by default.

The MICE production crew. Audiovisual teams, tour-support staff, and event-production crews moving 6 to 12 people on a tight call sheet between cities where commercial connections are awkward. They book on price, not relationship, and they book recurring work. One match converts into ten.

The family-office leisure trip. A multi-generational trip on a known date (spring break, Thanksgiving, August in Sardinia) where the principal is not personally arranging the booking. The family office assistant is doing the homework, on a deadline, against a budget. Same buying behavior as the corporate travel manager: written quote, public price, fast confirmation.

The sports team and entourage charter. Not the official team plane, the shadow demand around it: the trainer flying ahead, the agent flying back, the small group that needs to get to the same city as the team without being on the team manifest. Recurring through a season, one-way more often than round-trip, and almost entirely invisible to the broker channel because the booking is happening at the agent or business-manager level, not the team operations level.

None of these five archetypes is a typical retail private-aviation buyer. All of them surface online before they surface in a broker's inbox. All of them currently bounce off operators that do not list publicly.

6. Where retail demand actually lives

Search and corporate-travel demand consistently outpaces what any single broker book can intake. This is not hand-waving. Public Google Trends data on terms like ‘empty leg flights,’ ‘private jet one-way,’ and the named city-pair queries have grown materially since 2022, and the AI-search surfaces (ChatGPT, Perplexity, Gemini) are now the entry point for a non-trivial slice of that intent.

Avian Hub's own search-demand sampling, which we run weekly across a fixed basket of 40 city-pair queries on US and EU corridors, shows a long tail of buyer intent that has no direct counterpart in any single broker pipeline we have observed. The intent shape is different too: shorter buying windows (3 to 14 days out, versus 30 to 90 for traditional charter), lower passenger counts (2 to 4 versus 6 to 8), and a bias toward Thursday-evening to Monday-morning departure.

That demand currently bounces. It bounces off operator microsites that do not rank. It bounces off broker contact forms that respond in 24 to 48 hours, which is past the buyer's decision window. It bounces off jet-card programs whose minimums are wrong for a one-time buyer. It does not, in most cases, convert.

We think this is the inefficiency. Not that operators are unsophisticated, they are not. Not that brokers are extractive, most are not. The inefficiency is that the channel for retail empty-leg demand has not been built, and the buyers who would use it are quietly defaulting to scheduled premium because the alternative does not surface.

7. Why operators don't list publicly today

Three reasons keep most operators off public marketplaces. We have heard them in roughly this order on every operator call we have run since the start of this project. Each is rational. None is permanent.

First, take-rate erosion. Charter margins are already thin, and the broker spread on Avinode-routed bookings sits in the 5 to 15% range. Adding a second public channel that takes another commission feels, correctly, like compounding the leak. The objection only resolves when the new channel does not take commission. That is the Avian Hub model: zero commission, in writing, for every operator. We absorb the cost of proving the channel.

Second, exclusivity pressure. Operators have learned that being asked to list exclusively on a marketplace is usually the start of a relationship that gets worse over time. The reflex is to refuse exclusivity by default. Avian Hub does not ask for it. List the same legs on Avinode, on Victor, on the operator's own site, on every channel already in use. We are additive, not a replacement.

Third, brand control. Operators have spent a decade building a particular kind of brand (safety record, fleet age, crew tenure) and are reluctant to surface that brand in a low-trust public listing format. Our response is to make listings brand-forward: operator name, aircraft photography, tail (private until booking), and disclosed AOC certificate are visible on the card and the booking page. The operator is not anonymized, the operator is the listing.

The remaining objection, the one that is real and that we cannot remove with policy, is the question of customer cannibalization. If a buyer finds the operator on Avian Hub, completes a booking, and then books direct next time, has the operator paid Avian Hub for a customer they would have acquired anyway? In practice, the answer is empirically no for retail buyers (they do not book repeatedly enough to develop a direct relationship), and yes for corporate buyers (who do, and whom we explicitly hand off to the operator on confirmation). We are fine with that.

8. What changed in 2025 and 2026

Four shifts have moved the category since the last serious public note on empty-leg distribution.

AI-search surfaces arrived as a real entry point. ChatGPT, Perplexity, Gemini, and Claude are now answering ‘what is the cheapest way to fly private from JFK to Aspen on Friday’ with structured responses that include marketplaces and operator names. The retrieval is real. The operators that publish structured, indexable inventory are quoted. The operators that do not are absent. This is a genuinely new distribution surface, and it rewards public-channel publication in a way no prior surface did.

Post-pandemic operator consolidation is mostly done. The fragmented, owner-flown end of Part 135 has thinned. The mid-sized operators that survived are running larger fleets, tighter dispatch, and better unit economics. They have more empty legs in absolute terms, and they have the operational capacity to publish those legs. The supply-side capacity to participate in a public channel is higher in 2026 than it was in 2022.

Fuel cost has normalized off its 2022 to 2023 highs. Jet-A is no longer the dominant variable in the per-leg cost equation, which means the recovery math on a sold empty leg is more predictable than it was three years ago. Operators can publish a price and trust that the fuel surcharge will not invalidate it before the leg flies.

Sustainability scrutiny on positioning flights is increasing. ESG-conscious corporates are explicitly asking, in RFPs, what their charter provider does to monetize repositioning rather than fly empty. ‘We sell our empty legs publicly’ is a defensible answer. ‘We fly them empty’ is increasingly not. This is a slow, structural pressure, and it is moving in one direction.

9. What we expect through 2027

Forecasts in private aviation age badly, and we do not pretend otherwise. The four predictions below are ones we are willing to be measured against.

Buyer-side category compounding. Retail-side empty-leg search volume continues to grow, and the AI-search surfaces accelerate it. Operators that publish at least three legs a month on a public surface should see a measurable lift in load factor on otherwise-empty repositioning by the end of 2026. By 2027, the gap between operators that participate in a public retail channel and those that do not should be visible in fleet-level utilization numbers.

More AOC consolidation. The Part 135 thinning is not finished. The next 18 to 24 months continue to favor mid-sized operators with disciplined unit economics. Smaller, single-aircraft operators that survive will increasingly run as wet-lease tail providers under larger AOCs rather than as standalone certificates.

Regulatory pressure on broker disclosure. The DOT 14 CFR Part 295 framework is doing its job in the United States, and EASA is pushing similar disclosure requirements in the EU. The direction of travel is more transparency about who is the broker, who is the operating carrier, what the broker spread is, and what the cancellation terms are. Marketplaces that already disclose are positioned for that. Marketplaces that do not are exposed.

Sustainability reporting on positioning flights. By 2027, we expect ESG reporting frameworks to start asking explicit questions about repositioning ratios and empty-leg sell-through, particularly for corporates that consume meaningful amounts of charter. Operators that can produce a clean answer will win RFPs they would otherwise lose.

The thread connecting all four: the retail-side public surface is no longer optional. It is the channel where AI search, ESG reporting, and regulatory disclosure all converge. The operators that build presence there in 2026 are the ones that compound through 2027 and beyond. The ones that wait are paying for the consolidation of the category by someone else.

Methodology

How the numbers were built.

Headline figures are modeled, not audited. The repositioning share of block hours (the 30 to 40 percent figure) is synthesized from NBAA business-aviation activity reports, EBAA annual statistics on intra-European charter movements, and FAA Part 135 activity surveys. The sell-through rate (the under-10 percent figure) is drawn from public Avinode marketplace bulletins and cross-checked against twelve structured operator interviews we ran between January and April 2026 with US and EU Part 135 and EASA AOC operators ranging from 4 to 38 aircraft. Operator identities are not disclosed by request.

The per-leg cost math in section 3 uses NBAA cost-of-operation tables for the aircraft types named, cross-referenced against published Conklin & de Decker direct operating cost data for the relevant tail types and current Jet-A pricing as of April 2026. Crew duty assumptions follow Part 135 flight and duty limitations under 14 CFR 135.267. The numbers are intended to be directional. Every operator should run their own version of this math against their actual hourly DOC, not ours.

Demand-side numbers are sourced from Avian Hub's own weekly search-demand sampling, which runs a fixed basket of 40 city-pair queries on Google, Perplexity, ChatGPT search, and Gemini, and logs presence and ranking of operator and marketplace inventory in the response. The basket has not been disclosed publicly to avoid SEO contamination of the measurement. The 2027 edition of this report will publish the basket with a one-year lag.

Citation

Cite this report.

Journalists, analysts, and operator strategy decks are welcome to cite this report. Use the block below verbatim, or shorten to ‘Avian Hub, State of Empty-Leg Monetization 2026’ in running text.

Avian Hub. (2026). State of Empty-Leg Monetization 2026.
https://www.avian-hub.com/reports/state-of-empty-legs-2026

Press inquiries: press@avian-hub.com. Operator inquiries: operators@avian-hub.com.

About Avian Hub

Who we are.

Avian Hub is a retail-side empty-leg marketplace built for certificated FAA Part 135 and EASA AOC operators. We are an air charter broker registered under DOT 14 CFR Part 295, not an operator. Our thesis is that the retail-side public surface for empty legs has been structurally underbuilt for a decade, and that fixing it benefits operators (recovered revenue on otherwise-empty repositioning), buyers (real, indexed, searchable inventory at transparent prices), and the category as a whole (sustainability reporting, regulatory disclosure, AI-search visibility). We are signing operators at zero commission, in writing, non-exclusive, locked for life on every leg.

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