A close marked complete is not the same as a close that is right. New survey data shows how often the numbers move after sign-off, and that the teams stitching together the most systems are the ones reopening the books most often.
Key Takeaways
Every month the close ends the same way: a date passes, the numbers go to leadership, and the period is marked done. New survey data suggests that for most finance teams that milestone is provisional. Nearly four in five say they have had to go back and change figures they had already delivered, and the odds of a reopen rise sharply with every system a team has to pull data from.
Vena commissioned Centiment to survey 624 U.S. finance and accounting professionals directly involved in the month-end close, fielded August 20 to 24. The results, published on October 23, put the average close at 6.2 business days. The more striking figure is what happens after it: 78% said their team restated or corrected numbers in the past year even after the close had been marked complete.
The rate climbs with complexity. Single-entity teams corrected at 67%, teams with seven to ten entities at 89%, and teams with more than ten entities at 82%. Teams with seven to ten entities issued corrections multiple times at 31%, against 13% for single-entity teams. Close length follows the same curve, from 4.7 business days for a single entity to 8.3 for more than ten.
Regulated businesses are not immune. In financial services and insurance, 92% of companies restated or corrected numbers, and 35% did so multiple times, against 77% and 18% for all other industries. A reopened close in those sectors does not stay inside finance for long.
The cleanest divide in the data is the number of systems a team pulls from. Among teams drawing on seven or eight systems, 92% corrected a number after the close. Among teams drawing on one or two, 57% did. More than half (52%) of teams on seven or eight systems spend half or more of the close on manual consolidation, compared with 15% of teams on three or four.
The causes are mundane, which is the point. Among the 488 teams that corrected a number, 28% blamed data entry or manual errors and 27% blamed late or missing information from another department. Chasing information from other departments was the most frequently named close challenge, cited by 34% as a top-two problem. Teams that rely on email or shared documents for 37% of their data sources averaged 6.8 business days to close, against 5.9 for everyone else.
Other research points the same way. A LiveFlow survey reported by CFO Dive found nearly eight in 10 corporate finance professionals blame close delays on waiting for data from other systems or departments, and more than half cited reconciling information across multiple platforms. Only 16% close in under three days. Aaryn Ross, a financial data analyst at LiveFlow, said much of the repetitive work, including data entry, transaction categorization and reconciling numbers, is still being done"Much of the repetitive work, data entry, transaction categorization, reconciling numbers, is still being done manually," said Aaryn Ross, a financial data analyst at LiveFlow.nbsp;manually.
The gap that should concern a CFO is between how leaders feel about the close and what their teams report. In the Vena data, 75% of executives call themselves very confident in the close, compared with 63% of all other roles. Yet 32% of executives say their teams restated numbers frequently, against 19% of other roles. Leaders are the most confident group and the most likely to say corrections happen often.
The pattern is not limited to the U.S. In a study of 303 CFOs at private UK companies with 250 or more employees, run by Odoxa for Sixthfin and covered by CFOtech UK, 67% ranked improving the reliability of accounts as their top priority, and more than one in three were not highly confident in the reliability of their own figures. Two-thirds (67%) still use Excel for account analysis and reconciliation, and fewer than half describe their close management as very satisfactory.
Teams know what they want instead. Asked what would help, Vena respondents most often chose better integration between systems (32%), more standardized processes across entities (28%) and more automated data consolidation (27%). Additional staff came fourth at 19%. Interest in AI tools that flag errors is highest among executives (37%) and among teams that have already restated (29%), against 16% of non-manager accounting and finance staff.

Guide
Days to close says nothing about how often the numbers move after sign-off. This guide sets out the measurements that separate reactive finance teams from proactive ones, so accuracy is tracked alongside speed.
Download
Guide
Late or missing information from other departments sits behind 27% of post-close corrections. These eight tips target the handoff friction that slows reporting and creates errors at month-end.
Download
Guide
Teams that have already restated are the most interested in AI that flags errors before sign-off. This guide walks through choosing high-value finance use cases and putting the integration and governance in place to trust the output.
Download
The Commercial Payments Bill would cap payment terms for large firms paying smaller suppliers and make late-payment interest mandatory.
Mid-market CFOs shortened their cash cycles, yet far fewer say customer payment-term behavior improved.
Owners are meeting their financial targets, yet overdue invoices and partial loan approvals keep capital out of reach.