Credit cardholders who carry a balance from month to month are paying an average rate of about 21.52 percent, while the broader average across all credit card accounts sits at 23.79 percent, according to the Federal Reserve’s latest quarterly data released on June 5, 2026. The gap between those two figures, roughly 2.3 percentage points, has held steady, raising questions about how card issuers set rates for different segments of their customer base and what that split means for the tens of millions of Americans revolving debt each billing cycle.
Two Fed rate measures and what separates them
The 23.79 percent figure represents the average nominal finance rate reported across all credit card accounts, whether or not those accounts actually incur interest charges. The lower 21.52 percent rate applies only to accounts that were assessed finance charges during the reporting period. Both numbers flow from the same quarterly survey instrument, the FR 2835a survey, which major card issuers file with the Federal Reserve Board.
The distinction matters because the two measures answer different questions. The nominal rate captures what issuers advertise and assign, including cards held by people who pay in full every month and never trigger interest. The computed rate for accounts assessed interest reflects the actual cost borne by revolvers. According to the Fed’s technical instructions, that computed measure equals total finance charges divided by the balances on which those charges were calculated. In practice, promotional zero-percent offers, balance transfer deals, and introductory pricing can pull the computed rate below the nominal average, because those accounts generate lower or zero finance charges relative to their balances.
The stable spread between the two rates suggests that issuers are not cutting headline APRs across the board. Instead, the effective rate paid by active revolvers stays lower partly because of targeted promotional pricing on accounts that generate finance charges. Cardholders who never carry a balance see no benefit from those promotions, yet their assigned rates keep the nominal average elevated. That dynamic helps explain why the all-accounts average can remain near record highs even when many borrowers are temporarily shielded by teaser offers.
Where the June data comes from and how to verify it
The Federal Reserve published these figures through its G.19 consumer credit tables on June 5, 2026. The G.19 is the Fed’s flagship consumer credit statistical report, covering revolving and nonrevolving debt outstanding as well as associated interest rate series. Credit card APRs in that release are compiled from the quarterly FR 2835a filings that large issuers submit under regulatory reporting requirements.
Behind those headline numbers sit detailed instructions that govern how banks and card companies report their data. The Fed lays out those rules in a set of technical directions attached to the FR 2835a, including line-by-line explanations of which balances and charges to include. In those reporting instructions, the central bank specifies that the computed rate for accounts assessed interest must be calculated by dividing total finance charges by the average daily balances on which those charges accrued during the quarter.
The Federal Reserve Bank of St. Louis republishes the same series through its FRED database, giving researchers and journalists a second access point to cross-check the G.19 values. The Board of Governors also maintains a Data Download Program that allows users to pull machine-readable time series for the credit card rate measures, making it easier to chart changes over time or compare them with other consumer credit indicators without relying on a single PDF snapshot.
One source of confusion is that the FR 2835a collects two separate items that sound similar but differ in construction. As the form and its instructions explain, one item is the average nominal finance rate for all accounts, and the other is the computed rate derived from total finance charges and balances for accounts assessed interest. The Fed confirms the formula for the computed measure but does not require issuers to disclose how many individual accounts fall into each category or to provide card-level detail. That omission limits how far outside analysts can drill into the aggregate numbers or attribute specific changes to shifts in borrower behavior, promotional strategies, or risk-based pricing.
What the rate gap means for cardholders
For consumers, the roughly 2.3-point gap between the all-accounts average and the rate on accounts assessed interest underscores how unevenly credit card costs are distributed. People who pay in full each month avoid finance charges entirely, regardless of how high their assigned APR might be. By contrast, households that revolve balances are exposed not just to elevated headline rates, but also to the compounding effects of interest on interest when they make only minimum payments.
The Fed’s methodology also means that promotional offers play an outsized role in the computed rate. A surge in zero-percent balance transfer deals, for example, can pull down the average rate on accounts assessed interest even if standard purchase APRs remain unchanged or continue to climb. That can create the impression of relief in the aggregate data while many individual borrowers still face steep costs on everyday transactions.
Ultimately, the June 2026 figures confirm that credit card borrowing remains expensive by historical standards, and that the burden falls most heavily on those who cannot or do not pay their statements in full. Understanding the difference between the nominal and computed rates helps clarify why official averages may not match what any one cardholder sees on a statement-and why, for revolvers, even small changes in APR can translate into meaningful dollars over time.
David M. Keller is a finance writer based in Columbus, Ohio, covering personal finance and consumer-focused economic topics. He earned his degree in journalism from Ohio University and began his career reporting on local business and economic trends for a regional media outlet. Since then, he has contributed to a variety of online publications, focusing on clear, practical coverage of topics such as cost of living, debt, and everyday financial decision-making.
