A gift card begins as a promise: the recipient will choose something later. What happens when later never arrives is a question of customer behavior, accounting estimates, contracts and law. This data investigation follows that money through consumer surveys, company filings and academic evidence, and separates reported results from the scenarios used to explain them.

The core research cutoff is 15 September 2026, with Statista data additions reviewed on 16 September 2026. The investigation reviews 14 companies and includes 24 interactive figures and 36 tables. Survey years and company fiscal years remain visible throughout. Source codes in square brackets refer to the annotated bibliography at the end.

What gift card breakage means

A gift can become revenue without becoming a purchase

A gift card starts as a promise. Someone gives up cash today so another person can choose a purchase later. The complication is the interval between those two moments: value can sit on a card, move into an app, be spent in pieces, be lost, or remain usable long after an accountant has recognized some of it as revenue.

This investigation asks four questions: how much value remains unused; how much companies actually recognize as breakage; what evidence supports the estimates; and which party is legally entitled to the residual. Those questions need different datasets. Mixing them produces large, memorable numbers that say less than they appear to.

The central finding is a visibility gap. Public filings can reveal substantial recognized amounts, but they do not provide a complete census of permanent consumer loss. Survey balances include money people still intend to spend. Financial statements apply estimates across many generations of cards. Contract terms and local law determine whether an issuer, a program partner, the purchaser, the recipient, or a public unclaimed-property administrator ultimately receives value.

This is document-based reporting. No interviews were conducted and no private transaction ledger was supplied. Corporate statements are presented as their disclosures; survey answers as self-reports; litigation as attributed allegations or settlements; and analytical scenarios as illustrations. Widely circulated headline estimates are treated as research leads and checked against the underlying evidence before being presented as findings.

T01. Five questions that sound similar but measure different things

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T01. Five questions that sound similar but measure different things

Question

Correct measure

What it cannot establish

How much is sitting unused?

Outstanding face value at a stated date

Whether it will never be spent

How much will never be redeemed?

Ultimate non-redemption for a defined issuance cohort

The current-year accounting entry

How much was recognized this year?

Reported breakage income/revenue for that fiscal period

A cohort abandonment rate without matched loads

How much did the issuer earn?

Program profit after relevant costs, tax and contractual shares

Profit from the breakage revenue line alone

Who gets the residual?

Applicable liability, legal entitlement and contract waterfall

Ownership from possession of cash alone

The vocabulary determines the result

An unused balance is a stock measured at a point in time. Breakage recognition is a flow measured over a period. A breakage rate is a ratio requiring a defined numerator, denominator and observation horizon. None is interchangeable with the others.

The physical or digital card is also distinct from the obligation. Replacing an expired card may leave its funds intact. Recognizing estimated breakage need not cancel the customer’s redemption right. The most useful analysis follows the monetary obligation across systems, rather than treating a card status field as the final economic outcome.

T02. A working dictionary

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T02. A working dictionary

Term

Meaning in this study

Critical boundary

Face value issued

Value activated or promised to the recipient

May differ from cash paid after discounts or bonuses

Outstanding face balance

Value remaining on live instruments

Can exceed the accounting carrying liability

Contract liability

Book obligation associated with future goods/services

May already reflect proportional breakage

Ultimate breakage

Estimated cohort value never redeemed

Estimate until sufficiently resolved; legal entitlement separate

Recognized breakage

Amount recorded in the current accounts

Can include revisions relating to older cards

Float

Timing benefit from holding money before settlement

Not the same as ownership of unredeemed principal

Escheat / remittance

Transfer to a state under unclaimed-property rules

Cannot simply be treated as merchant breakage

Cash redemption

Return of qualifying residual value to the holder

Thresholds and product exceptions vary

Fraud loss

Value stolen or diverted

Can happen through successful redemption

Non-claim / non-activation

Reward never claimed or activated

Must be separated from post-activation non-spend

A $100 card has more than one clock

Consider an illustrative $100 card sold at face value, with no fees, returns or escheat obligation. Its initial sale supplies cash but creates an obligation. If reliable evidence supports $8 of ultimate breakage, expected customer redemption is $92. After $46 has been redeemed, half that expected use has happened; proportional recognition records $4 of breakage. The remaining customer face balance is $54, while the remaining book liability is $50.

That difference is the heart of the story. An accounting estimate can move faster than the legal extinguishment of an individual customer right. It is therefore unsafe to say that recognizing breakage proves that a named card was abandoned.

The example abstracts from discounts, multi-party settlement, costs and tax. It explains a proportional recognition mechanism; it does not tell an issuer which accounting standard or legal treatment applies to a real program. [M1]

The data behind the story

F01. An accounting liability can fall below the live face balance

USD

Source

ILLUSTRATIVE: $100 issuance, 8% expected ultimate breakage; no expiry or legal cancellation assumed.

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F01. An accounting liability can fall below the live face balance (USD)
CategoryRemaining face valueCarrying liability
Issue100 USD100 USD
Half expected use54 USD50 USD
Expected use complete8 USD0 USD

T03. Illustrative lifecycle: face balance versus carrying liability

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T03. Illustrative lifecycle: face balance versus carrying liability

Stage

Cash collected cumul.

Redeemed cumul.

Breakage recognized cumul.

Remaining face

Book liability

Issue

$100

$0

$0

$100

$100

Half expected redemption

$100

$46

$4

$54

$50

Expected redemption complete

$100

$92

$8

$8

$0

Illustrative, not a forecast. A residual redemption right may survive accounting recognition. [M1]

What consumer surveys reveal

Fewer Americans reported unused value, but holders had larger balances

The strongest recoverable U.S. survey series covers 2021–2024. Prevalence fell from 51% to 43%, an eight-percentage-point difference, while the conditional mean rose from $116 to $244. These are repeated cross-sections, not the same people or the same cards followed over time. [U01] [U02] [U03] [U04]

The underlying questionnaires concern gift cards, vouchers and store credit. The 2024 coverage includes general-purpose cards and airline or food-delivery vouchers. The 2024 median holder balance was $100, far below the mean: a typical-holder narrative based only on $244 would obscure the distribution. [U05]

A useful denominator check is 0.43 × $244 = $104.92 per adult, using rounded published inputs and including adults with no unused value. The $244 figure is neither a per-card average nor an average for every adult. The national extrapolation is the publisher’s estimate; the public release does not supply enough microdata to construct an independent uncertainty interval. No newer original Bankrate survey was located for this study.

The survey gives two different views of the same unused-value stock. Fewer adults reported holding it in 2024 than in 2021, while the average among holders was higher. Neither observation tells us how much an individual recipient ultimately lost: the people, cards and new gifts entering each survey can change. [U01] [U04] [U05]

The data behind the story

F02. The share of adults holding unused value declined across survey vintages

Measure: % of U.S. adults.

%

Sources

SURVEY: repeated cross-sections; no statistical-significance or causal claim. Not the share of dollars never redeemed.

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F02. The share of adults holding unused value declined across survey vintages (%)
CategoryAdults holding unused value
202151%
202247%
202347%
202443%
The data behind the story

F03. The average unused balance among holders increased

USD

Sources

SURVEY: conditional on holding unused value. Does not track an issuance cohort.

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F03. The average unused balance among holders increased (USD)
CategoryMean balance among holders
2021116 USD
2022175 USD
2023187 USD
2024244 USD
The data behind the story

F04. National headlines describe outstanding value, not annual breakage

USD billion

Sources

SURVEY-BASED EXTRAPOLATIONS: approximate published totals; no independently derived error bars.

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F04. National headlines describe outstanding value, not annual breakage (USD billion)
CategoryPublisher’s outstanding-value estimate
202115 USD billion
202221 USD billion
202323 USD billion
202427 USD billion

T04. Original U.S. survey vintages

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T04. Original U.S. survey vintages

Year

Adults with unused value

Mean among holders

Published outstanding estimate

All-adult mean, derived

2021

51%

$116

About $15bn

$59.16

2022

47%

$175

About $21bn

$82.25

2023

47%

$187

About $23bn

$87.89

2024

43%

$244

About $27bn

$104.92

Nominal USD; cards, vouchers and store credit. Survey estimates, not audited balances or annual breakage. [U01] [U02] [U03] [U04]

T05. How the surveys were conducted

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T05. How the surveys were conducted

Year

All respondents

Fieldwork

Known holder subsample

2021

2,387

30 Jun–2 Jul 2021

1,225

2022

2,372

27–29 Jul 2022

Not stated in release

2023

2,446

20–22 Jun 2023

Not stated in release

2024

2,373

19–21 Aug 2024

1,010

YouGov online adult samples with weighting; nonprobability-panel design. These panel estimates do not support an invented simple-random-sampling margin of error. [U01] [U02] [U03] [U04]

Who holds unused value, and what people say happened to it

Different demographic cuts answer different questions. The generation chart compares dollar balances only among holders. The income chart measures how common unused value is within each income group. Neither alone establishes which group permanently loses the most money.

Statista also publishes the 2024 generation breakdown shown in F05. Its values—$142 for Gen Z, $332 for millennials, $255 for Gen X and $227 for baby boomers—come from the same Bankrate/YouGov survey already cited here. The original release remains the source for the holder-only denominator and survey method; the additional publication does not supply a second estimate of unredeemed money. [ST01] [U04]

Lifetime experiences also differ from the present stock: the 2024 survey recorded expiry, lost cards and business closures. The categories overlap. Their percentages cannot be added, and they are not the fractions of issued value lost each year. [U05]

Plans to redeem are weaker evidence than observed redemption. In the 2022 survey, 45% of holders expected to use all their unused value within a year and 30% most of it. Without following the same instruments, later aggregate surveys cannot tell whether those plans failed: old cards can be spent while new ones arrive. [U02]

The data behind the story

F05. Generation differences concern balances among holders

USD

Sources

SURVEY 2024: conditional holder means; not per card, not permanent loss, and no significance test supplied. Statista reproduces this same Bankrate/YouGov survey; it is not an independent observation.

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F05. Generation differences concern balances among holders (USD)
CategoryMean unused balance
Gen Z142 USD
Millennials332 USD
Gen X255 USD
Baby boomers227 USD
The data behind the story

F06. Unused value was more common in higher-income households

Measure: % within household-income group.

%

Source

SURVEY 2024: prevalence, not the share of gift-card dollars abandoned.

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F06. Unused value was more common in higher-income households (%)
CategoryAdults reporting unused value
Under $50,00035%
$50,000–79,99944%
$80,000–99,99947%
$100,000+55%

T06. Lifetime loss experiences are overlapping responses

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T06. Lifetime loss experiences are overlapping responses

Experience

Share of all adults

Ever let a card expire

20%

Ever lost a card

17%

Business closed before use

12%

At least one of these

34%

Self-reported experience at any time; not annual incidence or dollar-weighted breakage. [U05]

A reported obstacle is not an ultimate breakage rate

Accenture’s 2024 US Holiday Shopping survey adds a different kind of evidence: people’s explanations for leaving a balance unused. In the table published by Statista, 483 respondents with unused balances could select several reasons. Forgetting the card and having access to only a few brands or stores each drew 34%; 25% said the value was too small to bother using. [ST02]

The data behind the story

F07. Consumers report several reasons for leaving a balance unused

All 12 reported reasons from the 2024 US survey. The base is people with an unused balance.

% of respondents with an unused balance

Source

SURVEY 2024: Accenture data published by Statista; US online survey, n=483. Multiple responses allowed. No dollar threshold, share of outstanding money or ultimate non-redemption rate is measured. Labels shortened for display.

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F07. Consumers report several reasons for leaving a balance unused (% of respondents with an unused balance)
CategorySelected this reason
Limited brands or stores34 % of respondents with an unused balance
Forgot about the card34 % of respondents with an unused balance
Could not find items to buy28 % of respondents with an unused balance
No time to use it28 % of respondents with an unused balance
Unappealing available options28 % of respondents with an unused balance
Value too small to bother25 % of respondents with an unused balance
Only one redemption channel23 % of respondents with an unused balance
Technical redemption problems23 % of respondents with an unused balance
Expired before use22 % of respondents with an unused balance
Insufficient flexibility20 % of respondents with an unused balance
Sign-up required18 % of respondents with an unused balance
Lost the card17 % of respondents with an unused balance

The ranking does not divide unused cards into separate piles. A person could report a small balance, an inconvenient channel and a forgotten card together. The 23% citing technical difficulties and the 23% citing a single redemption channel cannot therefore be added into a 46% failure rate. Nor does a reported obstacle establish that the money was permanently lost.

These are also different questions from Bankrate’s lifetime experiences in T06. Accenture asks a group holding unused balances why value went unspent; Bankrate asks adults whether specified events ever happened. Even the superficially matching lost-card percentages have different populations. The 25% small-value response gives direct evidence that size can matter, but supplies no universal cutoff below $1, $2 or $3. [ST02] [U05]

T07. Intentions for the next twelve months, 2022

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T07. Intentions for the next twelve months, 2022

Planned use of unused value

Share of holders

All

45%

Most

30%

A few

16%

None

9%

Plans, not tracked outcomes. 71% held at least one instrument a year old; that is not 71% of dollar value. [U02]

A newer snapshot still separates waiting from giving up

CivicScience’s January 2025 reporting, reproduced by Statista, distinguishes several unused-card positions among adults who typically buy or receive gift cards. Eleven percent reported many unused cards, 29% a few, and a further 21% selected the answer that they planned to spend them in the near future. Thirty-nine percent reported none. [ST03] [ST07]

The data behind the story

F08. Some unused cards still come with a plan to spend

2025 snapshot among adults who typically buy or receive gift cards.

% of respondents

Sources

SURVEY SNAPSHOT: CivicScience reporting published 7 January 2025, reproduced by Statista. Categories concern people and plans, not dollars. The population differs from Bankrate’s all-adult ownership measure and its unused-value-holder intentions sample. No tracked redemption outcome is implied.

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F08. Some unused cards still come with a plan to spend (% of respondents)
CategoryResponse share
Many unused cards11 % of respondents
A few unused cards29 % of respondents
Unused, with plans to spend soon21 % of respondents
No unused cards39 % of respondents

The 21% with near-term plans must not be relabeled as a breakage rate, and the other unused-card categories do not establish an intention never to spend. This snapshot also cannot validate or refute the 2022 plans in T07: different respondents, timing, response options and populations are involved. A credible estimate of ultimate non-use still needs to follow a defined set of obligations over time.

International headlines need their original questions

Ireland’s 2025 consumer research is unusually specific about its denominator. Among 649 respondents who had received Christmas-2024 vouchers, 77% said they had used the full value, 22% had not and 1% did not know. The not-full category includes partial spending; calling it never redeemed would alter the finding. Interviews took place in October 2025. [U10]

The Australian and British examples below are useful context, but cannot be combined into a cross-country breakage league table. The studies differ in instrument scope, time horizon, sample and outcome. A pandemic-expiry episode, current unused holdings and lifetime loss are not competing estimates of the same quantity.

The Irish question also marks the boundary of the evidence. A respondent who had spent nearly all a voucher and a respondent who had spent none could both answer that its full value had not been used. The 22% result identifies incomplete redemption among recipients; it cannot reveal the percentage of voucher money still outstanding. [U10]

The data behind the story

F09. Not fully redeemed does not mean never redeemed

Measure: % of recipients.

%

Source

IRELAND SURVEY, October 2025; Christmas-2024 recipients n=649; full sample n=1,012. Includes a range of voucher products.

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F09. Not fully redeemed does not mean never redeemed (%)
CategoryShare of voucher recipients
Full value used77%
Not fully used22%
Do not know1%

T08. Selected international evidence

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T08. Selected international evidence

Place / source

Observation

Limit

Ireland / CCPC 2025

22% of recipients had not used full value

Includes partial use; finite observation horizon

Australia / Finder, Dec 2024 fieldwork

33% held unused cards; 21% reported ever losing value

Stock prevalence versus lifetime experience

Australia / Australian Treasury, 2012

Industry-informed breakage assessment above 3%, below 8%

Historical; before later expiry reform

UK / Which? 2020

Among expiring-voucher subgroup: 49% auto-extension, 15% on request, 36% none

Lockdown-specific; not an annual breakage rate

[U10] [U14] [U13] [U11]

What company filings and research show

What public-company filings actually disclose

The table below covers 14 public companies selected for relevant disclosures. Six disclose separate amounts in the reviewed notes; others describe a policy, provide a liability or combine breakage with redemption. This is an evidence map, not a ranking of all issuers or a representative industry sample.

Reported carrying liabilities are not uniformly measured consumer face balances. Some are net of estimated breakage or fees; Starbucks’ roll-forward includes loyalty Stars. Fiscal labels and year-end dates also differ. Large balances beside missing breakage figures should prompt questions, not invented estimates.

Revenue classification can differ too: Walmart places breakage in membership and other income, while several retailers include it in sales. An analysis that searches only the sales line could miss relevant recognition. [C09]

Even apparently similar labels can cover different products. DICK'S discusses gift cards alongside merchandise credits and added acquired Foot Locker liabilities during the year. Walmart separately discusses reward-related income. Keeping those boundaries visible prevents a convenient comparison from becoming a claim about a uniform gift-card market. [C18] [C09]

The data behind the story

F10. Six disclosed amounts illustrate scale, not an industry ranking

USD million

Sources

Latest reviewed annual periods: Brinker FY2026, others FY2025. Product scope and year-ends differ; see disclosure table.

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F10. Six disclosed amounts illustrate scale, not an industry ranking (USD million)
CategorySeparately disclosed breakage
Starbucks222.400 USD million
DICK'S Sporting Goods41.300 USD million
Chipotle27.877 USD million
Cheesecake Factory24.500 USD million
Brinker10.300 USD million
Red Robin5.243 USD million

T09. Selected latest annual disclosures, USD million

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T09. Selected latest annual disclosures, USD million

Company

Fiscal label

Period end

Breakage

Carrying liability

Scope / caveat

Starbucks

FY2025

2025-09-28

222.4

1,751.7

Cards + Stars liability; card breakage

DICK'S Sporting Goods

FY2025

2026-01-31

41.3

305.548

Cards / merchandise-credit policy; acquired Foot Locker

Chipotle

FY2025

2025-12-31

27.877

174.6

Gift cards; loyalty separate

Cheesecake Factory

FY2025

2025-12-30

24.5

212.859

Reassessment affects 2025

Brinker

FY2026

2026-06-24

10.3

52.8

Liability net of breakage and fees

Red Robin

FY2025

2025-12-28

5.243

24.096

Gift cards; loyalty separate

Amazon

FY2025

2025-12-31

Not separately disclosed

5,600

Gift-card liability

Walmart

FY2026

2026-01-31

Not separately disclosed

2,941

Deferred gift-card revenue

Target

FY2025

2026-01-31

Not separately disclosed

1,197

Net of estimated breakage

Home Depot

FY2025

2026-02-01

Immaterial; unquantified

1,100

Liability approximate; breakage immaterial

Darden

FY2026

2026-05-31

Not separately disclosed

636.7

Deferred gift-card revenue before separately reported USD 31.6m deferred gift-card discounts; redemptions and breakage combined

Texas Roadhouse

FY2025

2025-12-30

Not separately disclosed

448.744

Activations net of third-party fees

Best Buy

FY2026

2026-01-31

Not separately disclosed

235

Breakage not separately quantified

BJ's Restaurants

FY2025

2025-12-30

Not separately disclosed

16.06

Opening-balance revenue is not breakage

Dates are issuer fiscal year-ends. These rows must not be summed into a national market estimate. Missing is not zero. [C01] [C18] [C13] [C14] [C15] [C20] [C08] [C09] [C04] [C06] [C11] [C10] [C07] [C21]

Starbucks reveals both the scale and the denominator problem

Starbucks’ card breakage series combines company-operated and licensed-store amounts. It increased from $144.6m in FY2020 to $222.4m in FY2025, with a decline in FY2024. That is recognized card revenue, not a measured cohort-loss percentage. [C01] [C02] [C03]

The FY2025 roll-forward reports $15,245.8m of additions and a $1,751.7m closing balance, but combines stored-value cards with loyalty Stars. Dividing card breakage by that addition row would mix scopes. The product also permits reloads, so it is not a pure non-reloadable gift-card benchmark. [C01]

The data behind the story

F11. Starbucks recognized card breakage across two store channels

USD million

Sources

COMPANY DISCLOSURES: annual recognition, not cohort ultimate losses. The FY2020–2025 total is not a present outstanding balance. FY2021 contained 53 weeks; FY2020 and FY2022 contained 52 weeks. The two disclosed components are shown side by side; their sum is total reported card breakage.

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F11. Starbucks recognized card breakage across two store channels (USD million)
CategoryCompany-operatedLicensed
2020130.3 USD million14.3 USD million
2021164.5 USD million16.6 USD million
2022196.0 USD million16.7 USD million
2023196.1 USD million18.9 USD million
2024187.6 USD million20.0 USD million
2025200.4 USD million22.0 USD million

T10. A combined roll-forward cannot supply a clean card-load denominator

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T10. A combined roll-forward cannot supply a clean card-load denominator

FY2025 component

USD million

Opening cards + Stars liability

1718.7

Cards + Stars additions

15245.8

Redemptions + breakage

-15199.5

Other change

-13.3

Closing cards + Stars liability

1751.7

Arithmetic: 1,718.7 + 15,245.8 - 15,199.5 - 13.3 = 1,751.7. Mixed scope is preserved. [C01]

The income effect of an estimate change is visible in the footnotes

Cheesecake Factory’s FY2025 breakage was $24.5m, including $17.3m of additional recognition from reassessed redemption patterns. A separate $7.9m gift-card inventory write-down partly offset it; the company’s more precise pre-tax gift-card adjustment, net of the inventory write-down, was $9.396m. Compared with $187.285m operating income, that net adjustment is about 5.0%, an analytical comparison rather than a restated profit measure. [C14]

Chipotle reported $27.877m of breakage in 2025, up from $7.760m in 2024 and $1.162m in 2023. Its $20.1m year-over-year increase is disclosed, but is not identified here as an isolated estimate-change amount. The evidence supports a large recognition increase, not an assertion about its entire cause. [C13]

Brinker supplies the other direction: FY2024 breakage declined by $5.4m, which management attributed primarily to an estimate anticipating higher redemption. Its FY2025 audit treated breakage as a critical audit matter. Accounting estimates can reduce as well as increase reported income. [C17] [C16]

The two restaurant examples show why a breakage line needs its surrounding notes. Cheesecake Factory reported additional recognition alongside an inventory charge; Brinker described lower recognition after expecting more redemption. Reading the revenue entry alone would miss either the offsetting cost or the direction of the underlying estimate. [C14] [C17]

The data behind the story

F12. Restaurant disclosures show different recognition paths

USD million

Sources

COMPANY DISCLOSURES: issuer fiscal years differ slightly. Lines compare recognized amounts, not abandonment rates.

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F12. Restaurant disclosures show different recognition paths (USD million)
CategoryChipotleCheesecake FactoryRed Robin
20231.162 USD million7.300 USD million9.874 USD million
20247.760 USD million7.300 USD million7.930 USD million
202527.877 USD million24.500 USD million5.243 USD million

T11. What the disclosures do and do not explain

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T11. What the disclosures do and do not explain

Company

Verified statement

Do not infer

Cheesecake Factory

Additional $17.3m recognition after reassessment; $9.396m pre-tax gift-card adjustment, net of the inventory write-down

The full $24.5m was new cash or net profit

Chipotle

Breakage increased approximately $20.1m year over year

All of the increase was an estimate revision

Brinker

2024 decline primarily reflected higher expected redemption

Falling breakage necessarily means weaker card sales

Darden

A 50bp assumption change implies about $3.5m FY2025 income sensitivity

50bp is the company’s actual breakage rate

[C14] [C13] [C17] [C12]

A transparent roll-forward still needs careful labels

Brinker separates sales, redemptions and breakage in its roll-forward, giving readers more visibility than a single combined reduction. Even here, the liability is net of breakage and unamortized third-party fees. Its reported sales row should not automatically be treated as gross face issued. [C15]

Darden reports activations and a combined redemption/breakage reduction. Its FY2026 $751.9m reduction cannot be separated into purchases and breakage from that row alone. Target’s $849m addition is even easier to misread: it is current-year cards still unredeemed, net of breakage, not total annual gift-card sales. [C11] [C04]

The data behind the story

F13. Brinker’s separately disclosed breakage fell before leveling off

USD million

Sources

COMPANY DISCLOSURES: fiscal-year amounts. FY2024 decline primarily reflected changed expected redemption.

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F13. Brinker’s separately disclosed breakage fell before leveling off (USD million)
CategoryBreakage
202316.5 USD million
202411.1 USD million
202510.0 USD million
202610.3 USD million

T12. Brinker gift-card roll-forward, USD million

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T12. Brinker gift-card roll-forward, USD million

Fiscal year

Opening

Sales as reported

Redemptions

Breakage

Other

Closing

2023

83.9

127.1

121.7

16.5

0.2

73

2024

73

122.2

119.5

11.1

0.2

64.8

2025

64.8

122.8

120.4

10

0

57.2

2026

57.2

127.4

121.3

10.3

-0.2

52.8

Closing = opening + reported sales - redemptions - breakage + other; small rounding differences may occur. [C15] [C16] [C17]

T13. Three common extraction errors

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T13. Three common extraction errors

Filing row

What it is

What it is not

Darden FY2026: $751.9m

Combined redemptions and breakage

Standalone breakage or standalone redemptions

Target FY2025: $849m

Current-year cards still unredeemed, net of breakage

All card sales during the year

Best Buy: over 90% within a year

Timing of redemptions and associated recognition

Proof that over 90% of every issuance cohort is redeemed

[C11] [C04] [C07]

The research record is strongest on disclosure, weaker on universal rates

An original Journal of Accountancy review of 167 available 2006 filings found only eight companies separately reporting a breakage amount. Its disclosure categories overlap; they are not stages in a funnel. That historical snapshot documents opacity, but cannot establish today’s disclosure prevalence. [A03]

Gregory G. Kaufinger and Chris Neuenschwander’s 2025 paper, Exploring Voluntary Disclosure of Gift Card Breakage: Insights From Agency and Signaling Theory, examines 79 U.S. retail and restaurant firms across FY2013–2022: 790 firm-year observations. Table 2 records disclosure of a breakage amount in 173 of 395 observations before FY2018 and 194 of 395 afterward—43.8% versus 49.1%, an increase of 5.3 percentage points. These are reporting frequencies, not redemption rates. [A01]

The frequently repeated 2–4% retail breakage range comes from Audit Analytics’ July 2017 discussion of breakage revenue relative to gift-card sales. It is historically attributable; it is not a current, representative cohort benchmark. [A09]

The widely quoted fifteenfold result comes from a narrower model: 17 firms that changed disclosure behavior, totaling 170 firm-year observations. Table 9 reports an ASC 606 coefficient of 2.716 and an odds ratio of 15.116. Odds are probability divided by one minus probability; a fifteenfold odds ratio is not a fifteenfold probability. This selected-sample association neither establishes managerial intent nor measures consumer losses. [A01]

The data behind the story

F14. Separate dollar disclosure was rare in a 2006 filing sample

companies out of 167

Source

HISTORICAL ORIGINAL ANALYSIS: categories overlap; not a mutually exclusive distribution or current disclosure census.

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F14. Separate dollar disclosure was rare in a 2006 filing sample (companies out of 167)
CategoryCompanies
Any gift-card information113 companies out of 167
Revenue-recognition policy99 companies out of 167
Gift-card liability separately51 companies out of 167
Breakage policy53 companies out of 167
Breakage dollar amount separately8 companies out of 167

T14. Reading research without upgrading its claim

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T14. Reading research without upgrading its claim

Source

What it supports

What it cannot establish

JofA 2007 filing review

Historical disclosure scarcity

Today’s breakage volume

2025 disclosure study

Observed reporting frequencies; selected-sample odds ratio

Causal effects or consumer breakage rates

Audit Analytics 2017

A dated reported 2–4% accounting ratio

A 2026 universal cohort rate

Milliman 2022

Methods and program-specific estimation issues

An observed 10% industry benchmark

[A03] [A01] [A09] [R1]

Psychology can explain spending choices without measuring abandonment

Chelsea Helion and Thomas Gilovich’s 2014 paper, Gift Cards and Mental Accounting: Green-lighting Hedonic Spending, combines hypothetical choices, a laboratory experiment and store transactions. In the experiment’s 38-person analysis, the gift-card group spent 76% on hedonic items versus 47% for cash. Participants had to spend at least $5; this examined purchase composition, not abandonment. [A05]

The same paper followed 332 Cornell campus-store customers who used both gift and credit cards. Their average hedonic spending shares were 52% and 21%, respectively. The comparison holds the customer constant, but payment choice was observational and departments proxy for individual products. It does not measure permanently unredeemed value. [A05]

Spending composition and eventual redemption are separate outcomes. Evidence that a gift card encourages an indulgent purchase cannot establish a universal balance threshold or a deadline after which the money will never be spent. Estimating either requires tracking comparable balances over time, with redemption, refunds and expiry recorded separately.

The data behind the story

F15. Gift-card spending tilted toward hedonic departments in one study

Measure: % of spending.

%

Source

OBSERVED STUDY COMPARISON: matched-tender subset n=332, Cornell campus store. Department classification is a proxy; not a breakage study.

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F15. Gift-card spending tilted toward hedonic departments in one study (%)
CategoryAverage hedonic spending share
Gift card52%
Credit card21%

A new 2026 study finds high non-use in a different product

Yixuan Liu, Hua Zhang and Eric Zou’s February 2026 working paper analyzes 4,616,004 consumers and 96,829 merchants on one Chinese merchant-prepayment platform during 2023–2024. Credits never expire. Approximately 40% of prepaid value remained unused after a year; treating it as permanent non-redemption requires inference beyond the observed follow-up. [A14]

For prepayments more than 12 months old at merchants still active in the final week of 2024, approximately 17% were wholly unspent and 17% fully spent. The remainder was partially used. These are transaction shares, not shares of monetary value. The reported median merchant ROI of 5.5 equals breakage divided by bonus incentives actually paid, minus one; it is not a full operating-profit measure. [A14]

These bonus-bearing credits were bought for personal use, limiting comparisons with U.S. gift cards. [A14]

The data behind the story

F16. Partial use dominated one Chinese merchant-prepayment sample

Prepayments more than 12 months old at merchants active in the final week of 2024.

%

Source

February 2026 working paper, Figure 4D. Approximate transaction shares; 66% is the derived remainder. Not consumer or value shares.

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F16. Partial use dominated one Chinese merchant-prepayment sample (%)
CategoryPrepayment transactions
Wholly unspent17%
Partially spent66%
Fully spent17%

Measuring breakage and its economics

The wrong denominator can manufacture a trend

Dividing this year’s breakage by this year’s loads can be useful as a clearly labeled accounting-intensity ratio. It is generally not a cohort breakage rate: the recognized amount can relate to older cards

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