One of the most common assumptions among Singapore SMEs is this:
If the numbers tie, XBRL filing should be fine.
After all, the balance sheet balances. Profit matches retained earnings. Everything reconciles in Excel. Yet when the XBRL file is submitted, errors appear — sometimes repeatedly.
This is where many founders and finance teams get stuck. Because in XBRL filing, numbers tying is necessary, but far from sufficient.
Traditional financial review focuses heavily on arithmetic accuracy. XBRL validation goes much further. It checks whether financial data follows a predefined structure and logic — regardless of whether the totals are mathematically correct.
In other words, XBRL asks:
Your figures can tie perfectly — and still fail XBRL validation.
A common cause of XBRL errors is contextual misplacement. For example:
To a human reader, these may look like minor presentation issues. To an XBRL validator, they are structural violations.
Many SMEs make last-minute adjustments outside their accounting system — often in spreadsheets or Word files — to “tidy up” financial statements.
While the numbers may still tie, these manual steps often:
By the time XBRL tagging begins, the data may already be structurally compromised.
Reconciliation confirms internal consistency. XBRL requires external consistency — alignment with regulatory taxonomy and validation logic.
This is why SMEs often experience:
The issue isn’t accuracy. It’s structure.
The most effective way to reduce XBRL friction is to prepare data correctly from the start — not patch it at the end.
That means:
Platforms like ccMonet support this approach by combining AI-powered bookkeeping with expert review. The result is financial data that’s not only accurate, but structurally consistent — making XBRL filing far smoother downstream.
In XBRL filing, numbers tying is just the starting point. Structural integrity is what determines whether a submission succeeds.
For Singapore SMEs, understanding this distinction is key to reducing filing delays, stress, and rework. When systems are built with structure in mind, compliance stops being a guessing game.
👉 Learn how ccMonet helps SMEs prepare compliance-ready financial data at https://www.ccmonet.ai/