XBRL filing in Singapore is one of those tasks that seems straightforward — until it isn’t. Many SMEs only realize something is wrong after submitting to ACRA and receiving a rejection notice with technical validation errors.
Before you submit your XBRL file, taking time to run a few critical checks can save days of rework and unnecessary stress. Below is a practical checklist to help you assess whether your XBRL filing is ready for submission.
ACRA’s XBRL validation engine is unforgiving when it comes to accounting logic.
Before submission, confirm that:
Even small inconsistencies will trigger rejection, regardless of how neatly the file is formatted.
XBRL is not just about numbers — it’s about correct classification under the ACRA taxonomy.
Common issues include:
If classification decisions were made manually or copied from previous years, they deserve a second look.
Some fields are mandatory even if the value is zero or not applicable.
Before submitting, verify that:
Missing any of these often leads to immediate rejection, even when the main financial statements look correct.
A common red flag is heavy manual editing right before submission.
Last-minute spreadsheet fixes increase the risk of:
XBRL submissions are far more reliable when generated from finalized, structured financial data rather than patched together at the end.
ACRA updates its validation rules and XBRL requirements over time. Using outdated templates or tools is a frequent cause of rejection.
Before submission:
Correct numbers alone won’t pass if the structure doesn’t meet current standards.
Ask yourself a simple question: can every number in your XBRL file be traced back to a clear source?
If explanations rely on memory, emails, or undocumented adjustments, that uncertainty often surfaces during validation. XBRL-ready data should be transparent, consistent, and easy to audit.
Most SMEs don’t file XBRL often enough to build internal expertise. Combined with manual processes and fragmented systems, this makes errors more likely — and rejections more frustrating.
Modern financial systems reduce this risk by generating structured, validated financial data from the start. Platforms like ccMonet help accountants produce consistent Unaudited Financial Statements (UFS) from clean bookkeeping data, making XBRL preparation far less error-prone.
XBRL filing doesn’t have to be a trial-and-error process. With the right checks in place — and the right data foundation — submission becomes routine rather than stressful.
If you want fewer rejections and smoother ACRA filings, it’s worth rethinking how your financial data is prepared long before submission day.
👉 Learn how structured, AI-assisted financial workflows support compliant reporting at https://www.ccmonet.ai/