REGEXVAULTv2.0
Finance/Currency & Money
Verified Safe

Decimal Monetary Amount Regex for Python

/^-?(?:(?:[1-9][0-9]{0,2}(?:,[0-9]{3})*)|0)(?:\.[0-9]{1,2})?$/

What this pattern does

This page provides a well-structured, multi-part regular expression for matching decimal monetary amount, 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

Python
# Decimal Monetary Amount
# ReDoS-safe | RegexVault — Finance > Currency & Money

import re

decimal_monetary_amount_pattern = re.compile(r'^-?(?:(?:[1-9][0-9]{0,2}(?:,[0-9]{3})*)|0)(?:\.[0-9]{1,2})?$')

def validate_decimal_monetary_amount(value: str) -> bool:
    return bool(decimal_monetary_amount_pattern.fullmatch(value))

# Example
print(validate_decimal_monetary_amount("0"))  # True

Test Cases

Matches (Valid)
Rejects (Invalid)
01.234
0.001,23
1.50.50
1,234.561,2345
1,000,000.001,234.567
-500.001 000.00
999

When to use this pattern

This pattern is drawn from the Finance > Currency & Money 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

European locale uses period as thousands separator and comma as decimal (1.234,56). Always store the locale context with user-entered amounts. Never compare raw amount strings.

Technical Notes

Enforces comma grouping (1,234 not 1234 with thousands). Strip commas before parsing to float. Allows negative amounts. For amounts without thousand separators, use: ^-?[0-9]+(?:\.[0-9]{1,2})?$

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