There is no single form of gift card fraud

A customer buys a gift card and hands the code to someone pretending to be their boss. Another buys a sealed card, keeps the receipt and discovers that the balance has already disappeared. An employee with legitimate access issues cards for their own benefit. All three can be called gift card fraud, but the money takes a different route in each. U.S. cases show why that difference matters: the person who loses, the evidence needed and the point at which someone could intervene are not the same. [S02] [S03] [S64] [S31]

In 2024, the Federal Trade Commission’s Consumer Sentinel Network recorded 41,120 fraud reports naming “Gift Card or Reload Card” as the payment method, associated with $212 million in reported losses. Only 18% of all fraud reports provided a payment method. The category includes reload cards, and the figures describe reports, not convictions or the full scale of gift card fraud. This is the annual benchmark; newer quarterly figures appear separately below. [S01]

A store gift card, a network-branded prepaid card and credit issued after a return can all carry value through a scheme. They are different products, however, and the distinction matters when interpreting a case. Cases involving mixed instruments are labeled in the atlas. EBT benefits fraud is not included. Nor is the legitimate non-use of a card—breakage—automatically classified as fraud. The question here is how someone illegitimately obtained or used the value. An unspent balance alone does not answer it. [S58] [S67]

Scope: United States only. The article examines 32 fraud patterns and variants; it does not claim to provide a closed list of every conceivable fraud. Cases involving perpetrators outside the United States are included only in relation to U.S. conduct, victims, or proceedings. Editorial cutoff: September 17, 2026.

T01. Three different routes to a gift card loss

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T01. Three different routes to a gift card loss

Route

What happens to the value

The question that matters

Illustrative evidence

A victim is persuaded to transfer it

A genuine card funds an impostor’s request

Was the recipient’s identity independently checked?

FTC consumer guidance and the Maryland redemption case. [S02] [S41]

A card or account is compromised

Someone else accesses value without the holder’s authority

Were the card details, account and redemption protected?

FTC card-tampering guidance and the Dunkin’ civil settlement. [S03] [S10]

A merchant process is abused

Value is created, funded, accepted or refunded illegitimately

Do permission, payment and ledger records agree?

The Apple issuance case and Home Depot insider case. [S64] [S31]

These routes explain control points. They are not mutually exclusive statistical categories: one scheme can cross more than one.

What the national data show

Statista’s annual series, drawn from the Federal Trade Commission, adds an important perspective: recorded reports in 2024 were close to their 2018 level, while reported dollar losses were much higher. The report count reached 64,638 in 2021 before falling to 41,120 in 2024. This describes the reports received; it does not establish why the count changed. [S74]

The data behind the story

F02. Reports peaked in 2021, then declined

United States, 2018–2024. Fraud reports naming gift cards or reload cards as the payment method.

reports

Sources

Statista presentation of FTC data. Reports are not necessarily unique victims, convictions or all incidents. The category includes reload cards. Changing reporting patterns can affect the series; a decline does not by itself establish improved safety.

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F02. Reports peaked in 2021, then declined (reports)
CategoryFraud reports
201841,046 reports
201938,401 reports
202043,242 reports
202164,638 reports
202248,800 reports
202341,632 reports
202441,120 reports

Reported losses rose from $78 million in 2018 to $212 million in 2024, below the $233 million recorded for 2021. The dollar series is nominal and rounded to millions. It is not an estimate of all unreported fraud, and dividing it by the report count would not reveal what a typical victim lost. [S75]

The data behind the story

F03. Lower than the peak, far above 2018

Reported losses involving gift cards or reload cards, United States, 2018–2024.

USD million

Sources

Nominal dollars, rounded to millions in the source. FTC counts losses reported between $1 and $999,999. This is neither an inflation-adjusted series nor a measure of every loss involving gift cards.

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F03. Lower than the peak, far above 2018 (USD million)
CategoryReported loss
201878 USD million
2019103 USD million
2020124 USD million
2021233 USD million
2022228 USD million
2023217 USD million
2024212 USD million

T02. The annual figures behind the charts

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T02. The annual figures behind the charts

Year

Fraud reports

Reported loss, USD million

2018

41,046

78

2019

38,401

103

2020

43,242

124

2021

64,638

233

2022

48,800

228

2023

41,632

217

2024

41,120

212

Source: FTC data presented by Statista. Counts and loss amounts have different qualifications; the loss threshold must not be used to relabel the report count as “victims who lost money.” [S74] [S75] [S01]

The newer quarterly picture

The newer Statista series reports $79.1 million in gift-card or reload-card losses in the first quarter of 2026 and $75 million in the second. It uses an August 2026 snapshot of the FTC dashboard. Those are quarterly observations, not a full-year forecast; the dashboard and annual book are different data vintages. [S76] [S77]

The data behind the story

F04. The recent quarterly pattern

Gift-card or reload-card losses, United States. Selected quarters from Statista’s August 2026 release.

USD million

Sources

Reported losses between $1 and $999,999. Quarterly data can be revised. Do not splice this snapshot into the annual series or extrapolate the first half of 2026 into a full-year estimate.

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F04. The recent quarterly pattern (USD million)
CategoryReported loss
Q1 202454.34 USD million
Q2 202445.27 USD million
Q3 202459.38 USD million
Q4 202453.60 USD million
Q1 202554.10 USD million
Q2 202564.40 USD million
Q3 202580.40 USD million
Q4 202535.40 USD million
Q1 202679.10 USD million
Q2 202675.00 USD million

A payment method is not a fraud rate

In the same quarter, bank transfers or payments accounted for $547.4 million in reported losses. The comparison puts gift cards in the wider payment landscape. It does not measure how safe a method is: the dataset supplies no transaction-volume denominator. [S76]

The data behind the story

F05. Where reported losses went in Q2 2026

United States, by reported payment method.

USD million

Sources

Absolute reported amounts, not fraud rates or a ranking of product safety. The same FTC loss filter applies. These are payment-method categories, not the 32 mechanisms examined below.

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F05. Where reported losses went in Q2 2026 (USD million)
CategoryReported loss
Bank transfer or payment547.4 USD million
Cryptocurrency297.6 USD million
Payment app or service108.6 USD million
Credit cards90.4 USD million
Cash89.6 USD million
Wire transfer75.3 USD million
Gift card or reload card75.0 USD million
Check62.6 USD million
Debit card57.6 USD million
Money order8.9 USD million

The map: what is documented in each state

The map covers 50 entries: 23 states have a reference involving a guilty plea, verdict or sentence; five have charges, investigations or an individually reported incident; and 22 have public warnings, with no individual case selected. These are the results of the editorial selection below. They do not represent the actual number of states in which each phenomenon occurs, and they are not a ranking of risk.

The criminal-outcome category records a guilty plea, verdict or sentence in a dated source, not necessarily a final judgment after all appeals. Charges, investigations and reported incidents do not establish a person’s guilt; that category also includes accounts of victims without an identified suspect. The public-warning category describes the kind of evidence selected, not an absence of fraud. A dated charge records an allegation at that point in time; it is not a claim that the case is still pending today.

Each state has one selected entry, supported where appropriate by a subsequent report. The connection may be the location of the conduct, the victim, the enforcement action, or the federal case. A multistate loss is not attributed entirely to the state where the trial took place. Select a state to see its dated evidence, the kind of scheme described, the meaning of any amount and the full atlas entry. The map identifies states, not victims’ addresses. Alaska and Hawaii appear as insets.

Every state entry includes an official source. Pennsylvania’s subsequent sentencing outcome is also supported by contemporary reporting from The Philadelphia Inquirer and is attributed accordingly. The map uses US Atlas outlines derived from U.S. Census Bureau boundaries. [S73] [S71] [S21]

T03. What the map’s three evidence categories mean

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T03. What the map’s three evidence categories mean

Selected evidence

States

What the category establishes

What it does not establish

Documented guilty finding, plea or sentence

23

The dated source records a criminal outcome

A final outcome after every possible appeal, or the state’s fraud rate

Charge, investigation or individual incident

5

An allegation, investigation or specific incident is documented

Guilt, a current pending case or a statewide total

Public warning

22

A public authority warned about a relevant mechanism

An absence of cases or a lower level of risk

One principal record is selected per state. These counts describe this article’s evidence register, not the distribution of fraud across the country.

The victim is persuaded to buy or transfer the value

In this family of scams, the card may work exactly as designed. The problem is the false reason for which the buyer transfers the value. Authenticating the purchase payment does not, on its own, establish that the underlying request was legitimate. This distinction is illustrated, for example, by the impersonation and card-redemption cases described in Maryland and Utah. [S41] [S65]

01. Fabricated authorities, taxes, warrants, and fines

The impostor invokes a tax debt, a Social Security problem, or a supposed court-related obligation. The victim is led to believe that buying and sending gift cards will stop the penalty. The Internal Revenue Service states that it neither requests nor accepts gift cards as payment for taxes. The Idaho and Wyoming warnings describe the variant involving failure to appear for jury duty. Independent contact with the institution is what matters in verification—not the number displayed on caller ID. [S05] [S33] [S71]

02. Utilities and services supposedly facing disconnection

The pretext is an overdue bill or immediate disconnection. The gift card demand is presented as a quick solution before the victim checks the actual account. Tennessee warned about this kind of pressure in the context of the January 2024 winter storms. A real incident—a power outage or a delay—may make the story credible, but it does not make the recipient of the codes the utility provider. [S63]

03. Family emergencies and fake calls from relatives

Someone claims that a relative has been in an accident, has been detained, or urgently needs money. Gift cards become the requested means of assistance. The Nebraska warning documents this family of scenarios. The practical rule proposed here is verification through a previously known channel: call the relative or someone close to them rather than relying exclusively on the contact details supplied in the alarming message. [S48]

04. Romance scams and celebrity impersonation

An apparently personal relationship provides the justification for successive requests involving purchases, travel, emergencies, or privileged access. In the fake-celebrity variant, the victim believes they are speaking with a public figure. The official Tennessee warning and the federal appeal to identify victims in New Hampshire document these contexts. The element relevant to gift card fraud is the transfer of codes to an unverified identity, not merely the existence of an online conversation. [S18] [S50]

05. The boss or colleague who urgently needs cards

A message imitates the style of someone with authority within an organization and asks for cards for employees, customers, or an event. In January 2026, the FTC warned about wording that even presents the request as a purchase of “Google certificates.” Verification must take place outside the suspicious message thread. As an organizational control, a gift order should not be authorized merely because a message reproduces a manager’s name or signature. [S04]

06. Fake technical support

The victim receives a warning about a computer or account and ends up speaking with a supposed technician. The technician demands payment in gift cards to fix an invented problem. The Yong Chen case in Maryland illustrates the connection between such pretexts and the people who redeem cards obtained from victims. The person cashing in the value does not have to be the same person who conducted the initial conversation. [S41]

07. Fictitious refunds and alleged overpayments

Victims are told they have received too much money and must return the difference using gift cards. The story may be attached to a fake support or refund process. What needs to be verified is whether funds were actually received, directly with the financial institution—not a claim or image presented by the other party. This variant appears in FTC descriptions and in the Maryland case. [S02] [S41]

08. Job offers, mystery shopping, and fake checks

A supposed job opportunity requires buying gift cards with money apparently advanced by the employer. The victim sends the codes before discovering that the instrument received does not legitimately fund the payment. North Dakota and Office of the Comptroller of the Currency guidance document these scams involving job offers and advance payments. A visual confirmation or an amount temporarily displayed does not replace independent verification of the financial position. [S55] [S06]

09. A prize, inheritance, or benefit that first requires a fee

The card is demanded as payment of a fee that would release winnings, compensation, or a benefit. New Mexico’s workers’ compensation authority warns about impostors who also use professional identities from the legal system. West Virginia describes the fake-prize variant. The difference from buying a genuine gift is that value is transferred to unlock an unverified promise. [S52] [S69]

10. Online purchases and fake escrow protection

A seller claims that the purchase of a car or another item is protected by a well-known platform but asks the buyer to send gift card codes. The Minnesota Attorney General’s guidance describes the use of a fake escrow arrangement. A logo or an email invoking buyer protection does not establish that the transaction exists in the named platform’s system. [S17]

11. Donations and fake religious or community identities

The request exploits trust in an organization, a religious leader, or an urgent cause. The cards are presented as assistance for vulnerable people, while the codes are sent to an impostor. Michigan’s warning about gift card scams includes charitable pretexts and other false identities. As a control rule, a donation should be verified using independently obtained organizational contact details, not by replying directly to an unsolicited request. [S19]

12. Blackmail and sextortion

Value is demanded under a threat

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