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Green Dot GDOT Consumer Services — Processing expenses
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Where this comes from
Reported directly by Green Dot in its filing.
Tagged under the XBRL concept us-gaap:CommunicationsAndInformationTechnology.
The source filing: Green Dot’s 10-Q, filed August 10, 2026.
- Filed
- Aug 10, 2026, 5:22 PM EDT
- Fiscal quarter
- Q2 FY2026
- Calendar quarter
- Q2 2026
- Accession
- 0001386278-26-000045
| Line item | Three Months Ended June 30, 2026 | Three Months Ended June 30, 2025 | Six Months Ended June 30, 2026 | Six Months Ended June 30, 2025 |
|---|---|---|---|---|
| Operating expenses: | ||||
| Sales and marketing expenses | 49,359 | 50,159 | 108,672 | 109,847 |
| Compensation and benefits expenses | 59,003 | 63,847 | 118,774 | 130,061 |
| Processing expenses | 394,692 | 293,213 | 769,286 | 578,530 |
| Other general and administrative expenses | 93,494 | 83,558 | 186,943 | 170,468 |
| Restructuring and other charges | 96 | — | 178 | — |
| Total operating expenses | 596,644 | 490,777 | 1,183,853 | 988,906 |
| Operating (loss) income | (761) | 13,399 | 68,277 | 74,144 |
ITEM 1. Financial Statements
FAQ
- What is Green Dot's consumer services — processing expenses?
- Green Dot (GDOT) reported consumer services — processing expenses of $8.59M in Q2 2026.
- How has Green Dot's consumer services — processing expenses changed year-over-year?
- Green Dot's consumer services — processing expenses decreased by 5.8% year-over-year, from $9.12M to $8.59M.
- What is the long-term trend for Green Dot's consumer services — processing expenses?
- Over 3 years (2022 to 2025), Green Dot's consumer services — processing expenses has grown at a -20.3% compound annual growth rate (CAGR), from $69.71M to $35.29M.
- What does consumer services — processing expenses mean?
- Captures the direct costs incurred for processing financial transactions, including network fees and third-party service provider charges within the Consumer Services segment. These expenses are essential for the operational delivery of banking and payment services. Fluctuations in this metric often correlate with transaction volume and the underlying cost structure of payment networks.
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