A loyalty program liability is the dollar value your company owes to its members in the form of unredeemed points, miles, or rewards. It lives on the balance sheet, and if it’s wrong, your audit file gets flagged.
This guide walks through the full picture: how to define the liability, how to calculate it under current standards, what belongs in your disclosures, and how auditors actually evaluate the number. It’s written for finance, accounting, and audit teams — not marketers. If you need the marketing angle, we have a separate piece for that.
What is Loyalty Program Liability?
A loyalty program liability is the dollar value a company owes its members for unredeemed points, miles, or rewards that have already been earned. It represents the eventual cost of fulfilling those rewards once members redeem them — and it sits on the balance sheet as deferred revenue until that happens.
The liability exists because of how loyalty programs work: a company issues “currency” (points, miles, stamps) tied to customer purchases, and that currency carries real value the moment it’s issued, not just when it’s redeemed. Under ASC 606 and the corresponding IFRS 15 guidance, that value must be recognized as a separate performance obligation from the original sale — which is why loyalty liability shows up as deferred revenue rather than being absorbed into regular revenue.
Getting this number right matters for two reasons. First, it’s a real financial obligation: if a company underestimates how many points will ultimately be redeemed, it can be caught short when redemptions come in higher than expected. Second, it’s an audit-sensitive figure — auditors scrutinize the assumptions behind the liability estimate, particularly the ultimate redemption rate (URR) and cost per point (CPP), because small errors at scale can mean millions of dollars in restated income.
The Basics of Loyalty Program Liability
The impact of customers redeeming loyalty rewards is a balance sheet liability that can cost companies billions of dollars.
Though structures vary, the essence of a loyalty program is this: A company offers its clients a certain amount of “currency” per every unit of a designated dollar amount spent. In practice, this might look like Walmart offering shoppers 20 rewards points for every $10 spent, or a pet store offering one “Barky Buck” for every three cans of dog food purchased.
Of course, these currencies mean nothing if they’re not able to be redeemed for products or services, so the second part of the loyalty program formula is to allow customers to redeem the accrued currency for company offerings. Many times, these offerings are simply free or reduced inventory items, but often, the most valued (and desired) options can only be attained by earning enough of the loyalty program’s currency.
In each case, companies are forced to eventually assign the currency real value by making it exchangeable for tangible items. In turn, the loyalty program redemption rates can cause some real cost to the company.
For example, that free, steaming hot cup of coffee given by Starbucks to the loyal client actually costs Starbucks some big money. While a single cup doesn’t amount to much, multiply it by the millions of Starbucks customers getting free coffees and the cost skyrockets. And what is this cost known as? That’s right — loyalty program liability.
Loyalty Program Liability Accounting
Accounting departments need to accurately hone in on ultimate redemption rates and costs per point to correctly quantify outstanding levels of loyalty program liability.
Accounting departments are pivotal to the management of loyalty program liabilities. After all, in order to properly calculate the direction in which loyalty program liabilities are heading, you need to know where they stand today.
For many of the largest loyalty programs, these liabilities can amount to billions of dollars:
Deferred revenue liabilities from loyalty programs (updated for FY 2025)
| Company | Deferred revenue liabilities |
| Marriott | $7.99 billion |
| United | $7.78 billion |
| Delta | $9.26 billion |
| American Airlines | $10.56 billion |
| Southwest Airlines | $4.33 billion |
| Hilton | $4.43 billion |
| Intercontinental Hotels | $1.73 billion |
At this scale, even small changes in redemption behavior can drive significant financial impact. For example, if a $1 billion liability needs to be restated by just one percent, that will drive a $10 million hit to income during the period in which the liability is restated.
Proper understanding of the ultimate redemption rate (URR) as well as the cost per point (CPP), is key to getting the pulse of existing liabilities. While many companies believe that URR cannot be properly gauged, the reality is that this rate can be determined with a fair degree of accuracy. What tends to impede companies from correctly evaluating their URR is their neglect of many valuable data points concerning the individual behaviors of their members.
The previous actions of loyalty members can help predict what they’ll do in the future, and by analysing these individually, companies can develop forward-looking databases that can give cogent insights on how likely individual point-bearers are to redeem the points.
While this may require the analysis of huge quantities of data points across a large membership base, new techniques are making it easier for companies to wrangle this “big data” and uncover hidden insights. In particular, the combination of actuarial science and machine learning has proven to be a robust approach to predicting redemption behavior.
Financial reporting not only requires an estimate of the liability, but also disclosures about the timing of when the obligations will be fulfilled. This adds another dimension of complexity to the models, since the models must estimate the total number of points that will redeem as well as the timing of when they will burn.
Unfortunately, the methods companies use to estimate URR are often too simplistic to make accurate predictions of redemption behavior in the dynamic world of loyalty programs, and can result in materially biased estimates. These methods include approaches that look solely at aggregated historical data, or analysis by member vintage.
A URR estimate biased high means that you expect more redemptions to occur than actually will. This can result in deferring too much revenue, and never seeing the number of redemptions required to allow you to eventually recognize it. In essence, the revenue is “stuck” in the deferred revenue account.
A URR estimate biased low means that more redemptions will occur than you expect. When these redemptions occur, you may find that you don’t have enough revenue to cover the costs to fulfill the redemptions, causing a reduction in income during this period. Eventually, a true up of the liability may be needed to reflect a more accurate URR. This can be quite painful for companies with large liabilities. As noted earlier, even a small restatement of the liability can impact income by tens of millions of dollars.
Obviously, the outcome of having a URR estimate that is either too high or too low is not desirable. The nature of such risks often results in tough questions by senior leaders and auditors on the state of the company’s loyalty program liability. Having a robust analytic framework that uses sophisticated modeling rooted in actuarial theory, along with leveraging predictive modeling tools, helps mitigate risk and proves to these stakeholders that your estimate are accurate.
Bottom line
Proper accounting and financial reporting of your liability requires an accurate estimate of the ultimate redemption rate and cost per point. One powerful way to accomplish this is to integrate actuarial science with advanced computational capacities of modern predictive modeling techniques.
The Four Components of a Loyalty Liability
A loyalty program liability isn’t a single number pulled from a spreadsheet — it’s built from four components that each require their own estimate.
Unredeemed points. The starting point is simple: how many points, miles, or rewards are currently outstanding and eligible for redemption. This is a count, not an estimate, and it comes straight from the program’s transaction data.
Deferred revenue. Under ASC 606, the portion of a sale attributable to loyalty currency can’t be recognized as revenue when the sale happens. It’s set aside as deferred revenue until the points are redeemed (or expire). This is the accounting mechanism that holds the liability on the balance sheet.
Breakage estimate. Not every point issued gets redeemed. Some expire, some are forgotten, some belong to accounts that go dormant. The breakage estimate is the company’s projection of what percentage of outstanding points will never be redeemed — and it’s one of the most consequential assumptions in the entire calculation, because it directly determines how much revenue can be recognized early.
Expected redemption cost. This is the cost per point (CPP) — what it actually costs the company to fulfill a redemption, whether that’s a free flight, a hotel night, or merchandise. CPP can vary significantly depending on which rewards members choose, so this is usually modeled as a weighted average across redemption types.
Together, these four components determine both the size of the liability and how confident a company can be in that number when auditors come asking.
How to Calculate Loyalty Program Liability
At a high level, loyalty program liability is calculated with a version of this formula:
Walked through step by step:
1. Count outstanding points. Pull the total points currently issued and not yet redeemed or expired.
2. Estimate the ultimate redemption rate (URR). This is the inverse of breakage — the percentage of outstanding points expected to eventually be redeemed. Companies typically model this using historical redemption curves segmented by member vintage and behavior, rather than a single flat assumption.
3. Apply cost per point (CPP). Multiply the points expected to redeem by what each point actually costs to fulfill, based on the historical or projected mix of reward types members choose.
4. Adjust for timing. Because points can take months or years to redeem, the liability also needs a view of *when* redemptions will occur, not just whether they will. This timing estimate affects how the liability is classified (current vs. long-term) on the balance sheet.
The hard part is the URR and CPP assumptions feeding the formula. Both should be revisited regularly as redemption behavior shifts, rather than locked in once and left alone.
ASC 606 and Loyalty Liability
ASC 606 (and the parallel IFRS 15 standard) governs how companies recognize revenue from contracts with customers — and loyalty points fall squarely within its scope.
Under ASC 606, a sale that includes loyalty points is treated as a contract with **multiple performance obligations**: the product or service sold, and the loyalty points issued alongside it. Each obligation gets its own **standalone selling price**, and revenue is allocated between them proportionally. The portion allocated to the points can’t be recognized as revenue at the time of sale — it’s deferred until the points are redeemed, expire, or are otherwise resolved.
In practice, this means:
– A transaction’s revenue is split between the immediate sale and the future obligation to fulfill points.
– The deferred portion sits on the balance sheet as a liability until redemption.
– Revenue recognition timing is tied directly to redemption activity, which is why accurate URR and CPP estimates aren’t just operational nice-to-haves — they directly determine when and how much revenue a company can recognize.
This is also where most disclosure obligations originate: ASC 606 requires companies to describe the judgment and methodology behind these estimates, not just report the resulting number.
Breakage: The Biggest Estimation Risk
Breakage is the accounting world’s term for value that’s paid for but never used. In loyalty programs, it’s the single biggest source of estimation risk in the entire liability calculation.
A classic example of this is the sweeping tide of gym memberships that get activated at the beginning of every year by inspired would-be gym goers, bent on finally keeping their New Year’s resolution.
Similarly, every year companies make millions off of unused gift cards for which money is paid, but no products are consumed. While breakage can result in unanticipated profits, relying on it solely to underwrite unsustainable advertisement promises can have devastating effect on a company.
Changes in regulations concerning how companies must classify rewards points are also certain to heighten the impact of loyalty program liability. Under ASC 606 (US GAAP) and the corresponding IFRS 15 guidance, companies must categorize rewards points as deferred revenue, treating them as a separate performance obligation from the rest of the sale.This signifies that, at least initially, companies will have to decrease their listed profits from whatever they’ve actually generated to the smaller amount that results after the value of the accompanying rewards points is subtracted. This is particularly true in the US, where the the change in accounting rules is more dramatic.
Although this doesn’t mean that companies cannot eventually incorporate the profits earned from breakage after points expire into their bottom lines, it does mean that, at least in the short term, the value of rewards points must be factored into reports of revenue. For any company, depressions in revenue reports are an important concern, as they affect investor confidence and can change the market valuation of the organization.
Bottom line
Like any other type of liability, loyalty program redemption rates can affect the financial well-being of a company. Due to new regulations, businesses will now be forced to view rewards points as independent occurrences from the event that incurred them, and investors will view them as revenue deferred. This means that rewards points can bring down the revenue reports of a company at any given moment, even if, eventually, they come to increase them.
Most importantly, however, effectively managing loyalty program liability requires measured, strategic, interdepartmental cooperation between accounting, financial and marketing departments — which is where we now turn our attention.
Audit Considerations
Loyalty program liability draws more audit scrutiny than most balance sheet items, for a straightforward reason: it’s one of the few liabilities built almost entirely on a forward-looking estimate rather than a known, fixed amount.
Auditors typically focus on a few specific areas:
– Methodology consistency. Has the URR/CPP modeling approach changed year over year, and if so, why? Unexplained methodology shifts are a common audit flag.
– Historical accuracy. How has the company’s URR estimate performed against actual redemption behavior in prior periods? Large, recurring true-ups suggest the underlying model needs revisiting.
– Documentation of judgment. Auditors expect to see the reasoning behind assumptions — not just the assumptions themselves. A model with no documented rationale is harder to defend than a simpler model with clear logic.
– Segmentation. Aggregated, programwide URR estimates are increasingly viewed as too blunt. Auditors are more comfortable with estimates segmented by member vintage, tier, or behavior, since this is more defensible than a single companywide average.
Disclosure Requirements
Loyalty program liability disclosures typically appear in a company’s 10-K and 10-Q filings, most often within the revenue recognition footnote. At minimum, disclosures generally need to describe:
– The nature of the loyalty program and how points are earned and redeemed
– The accounting policy used to estimate the liability, including the treatment of breakage
– The judgment involved in estimating URR and CPP, and how those estimates may change
– The balance of the deferred revenue liability at the reporting date, and how much was recognized as revenue during the period
Because these estimates involve significant judgment, companies are generally expected to disclose enough about their methodology that a reader can understand *how* the number was derived, not just what the number is. Vague or boilerplate disclosure language is a common point of follow-up from both auditors and regulators.
Quick Reference: Liability Calculation Example
Putting the formula from the calculation section into a simplified, illustrative example:
| Input | Value |
|---|---|
| Outstanding points | 500,000,000 |
| Estimated ultimate redemption rate (URR) | 85% |
| Estimated cost per point (CPP) | $0.012 |
| Calculated liability | 500,000,000 × 0.85 × $0.012 = $5,100,000 |
In this simplified example, the company would carry a $5.1 million loyalty program liability on its balance sheet. In practice, this calculation is rarely this clean — URR and CPP are usually modeled separately across member segments and reward types rather than as single blended rates, which is why programs with large or complex liabilities tend to need more sophisticated modeling than a single formula can provide.
What Finance Departments Need to Know
Though loss of cash and an increase in liability is hardly appealing to the finance department, finding the proper balance of customer engagement needs to be strategically executed for sustained competitive standing.
It’s important to note that the financial impact of issuing rewards points is not incurred at the moment at which they’re redeemed, but, rather, at the time of their issuance. The second the rewards points are doled out to participants, the company incurs the accompanying costs associated with “potentially redeemable points,” either as a reduction in revenue or as a direct recognition of expense, depending on how the program is accounted for.
While accounting is often focused on current liability estimates, many in loyalty finance roles are focused on future liability (i.e., how the liability will grow over time). And to accurately predict future liability, finance must have a solid understand of URR and CPP, too.
It’s also important for finance teams to recognize that, as user engagement increases and members graduate from being casual participants to more heavily invested users, rates of redemption will fluctuate upwards. This, of course, can be offset by the arrival of more new members, whose engagement is typically less vigorous.
This means that it should be expected that the URR will change over time. Failure to recognize this in your financial planning could result in material variance in financial performance.
The trajectory of the liability is also influenced by loyalty program changes and loyalty campaigns. Understanding how changes in these programs, such as modifications to expiration rules or earning rules, or the addition of a new co-branded credit card, impacts the URR and CPP is critical to building an accurate financial plan.
A sole focus on costs may drive some to wish for high breakage. This one dimensional view should be avoided. Program managers must be wary of trying to encourage an excess of breakage, as doing so involves intentionally disengaging customers from the company.
Best practice is for companies to focus not just on liability, but more holistically on customer lifetime value (CLV). CLV considers both the cost of redemptions, as well as the revenue generated from a lifetime of loyalty from your customers. This is the most important metric for any loyalty program.
Cost considerations for CLV include items such as acquisition costs and redemption costs. Therefore, the ultimate redemption rate and cost per point are critical to understanding CLV.
The other half of the CLV calculation is related to revenue — in particular, expected future revenue. Unlike liability, expected future revenue from your members is not an asset you can put on your balance sheet, and is a big reason why there is so much focus on cost.
CLV puts liability in the appropriate context. Program strategies may increase the URR, and therefore increase the liability. But if the expected future revenue sufficiently increases more than expected future costs, then the strategy is a smart financial choice. Disciplined loyalty finance professionals should insist on quantifying CLV to fully understand the financial health of their program.
Bottom line
Ensuring accurate loyalty program liability is not only critical to satisfying Wall Street’s demand for accurate financial forecasts, but for measuring loyalty program ROI as a whole. The challenge for the finance team, then, is to get this right amidst the technical difficulties of implementing precise predictive models and constantly evolving loyalty program marketing strategies.
What Marketing Teams Should Know About Loyalty Program Liability
Marketers can get broader buy in and investment in their loyalty initiatives by accurately quantifying liability and CLV.
Marketing departments are responsible for the way in which a company engages with its clientele, and are the vehicle through which customer engagement is controlled. When it comes to loyalty programs, these levels of engagement predict corresponding levels of redemption. This means that marketing plays a key role in managing loyalty program liability.
For the most part, a marketer’s primary focus is not going to be program liability. And it shouldn’t be. With that said, they still have stakeholders in finance and accounting that are concerned about it. Understanding the financial implications of their engagement strategies will help get broad buy-in across departments.
Increasing breakage rates indicates a lack of engagement by members and demonstrates that customers don’t see the program as having value. While it may be beneficial for a company to dump its liability in the short run, this will not be a sustainable strategy for long-term customer engagement. It’s safe to assume that most loyalty professionals, regardless if they’re sitting in finance, accounting or marketing, know this to be true.
The challenge for many loyalty marketers, then, is that business cases often require sound logic and quantifiable evidence. This is where accurate liability estimates and CLV are helpful. If marketers can show that their chosen strategy will sufficiently increase CLV, this shows quantifiable evidence indicating that increasing liability will generate the needed ROI. It’s evidence that marketing, finance and accounting can all get behind.
Beyond building the financial case for a given strategy, CLV can also be used to help identify opportunities and new strategies. This is particularly true when CLV is estimated at the individual member level. This allows you to quantify and identify your most valuable members based on their expected future value, rather than their historical behavior.
This predictive view will have the biggest impact on future profit potential. Focusing your efforts and resources on these opportunities will maximize program ROI.
Bottom line
Marketers, finance professionals and accountants are all key stakeholders in a thriving loyalty program. The key metric at the intersection of their objectives is CLV. Accurate CLV requires an accurate estimate of the URR, CPP and program liability.
All loyalty professionals should demand predictive CLV and, consequently, demand accurate liability estimation.
Final Thoughts: Keep Your Business Sustainable
Regardless of where you’re sitting in a loyalty program, you need an accurate estimation of ultimate redemption rate, cost per point, and loyalty program liability.
For accountants, this means needing to comply with financial reporting requirements.
For finance, this means building an accurate financial plan that ensures that smart financial decisions are being made.
For marketing, this means framing programs and campaigns in the context of how they affect liability and customer lifetime value to get needed buy in from accounting and finance.
While all companies must estimate URR, CPP and liability for financial reporting, disciplined loyalty professionals should not stop there. They should insist on evolving those models to provide accurate customer lifetime value estimation.
And accurate CLV cannot be calculated without first understanding URR and CPP at a granular member level. Accurate liability is the starting point.
