General Ledger Account Code Regex for Python
/^[0-9]{4,8}(?:-[0-9]{2,6})?$/What this pattern does
This page provides a lightweight, single-purpose regular expression for matching general ledger account code, ported and verified for Python. Financial data validation has zero tolerance for false negatives — a missed invalid entry can corrupt downstream calculations. The snippet below is ready to drop into your Python project — whether you're validating in a Django view, a FastAPI endpoint, or a standalone data processing script.
Python Implementation
# General Ledger Account Code
# ReDoS-safe | RegexVault — Finance > Financial Formats
import re
general_ledger_account_code_pattern = re.compile(r'^[0-9]{4,8}(?:-[0-9]{2,6})?$')
def validate_general_ledger_account_code(value: str) -> bool:
return bool(general_ledger_account_code_pattern.fullmatch(value))
# Example
print(validate_general_ledger_account_code("1000")) # TrueTest Cases
Matches (Valid) | Rejects (Invalid) |
|---|---|
1000 | 100 |
10001000 | 10000001000 |
1000-001 | 1000- |
2000-10001 | -1000 |
5000-0001 | ACCT1000 |
| — | 1000.001 |
When to use this pattern
This pattern is drawn from the Finance > Financial Formats category and carries a ReDoS-safe certification. That matters for Python developers because particularly important in Python web servers where CPU-bound regex operations can stall concurrent request handling. RegexVault audits patterns against known backtracking attack vectors, ensuring you have the necessary context before using this regex in a high-stakes production environment.
Common Pitfalls
GL code ranges vary by company's chart of accounts setup. There is no universal standard — always validate against the specific company's CoA. Never hardcode GL codes in business logic.
Technical Notes
GL account structures vary: SAP uses up to 10 digits, QuickBooks uses 5. The department/cost center suffix is common for segment reporting. Ranges: 1xxx=assets, 2xxx=liabilities, 3xxx=equity, 4xxx=revenue, 5-9xxx=expenses.
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