The Lease Ledger: Expected vs. Collected

The core financial intelligence of Landager relies on a simple architectural comparison: Expected Revenue vs. Collected Revenue.

This comparison is built directly off the Lease Contract data.

1. Expected Revenue (The Theory)

Expected Revenue is the mathematical calculation of what you should earn this month, assuming everything goes perfectly.

How Landager Calculates It:

1. The system scans the database for every single lease with a status of Active.
2. It looks at the Rent Amount field locked into each of those active contracts.
3. It sums those values together.

Example: If you have 10 active leases, and each lease dictates a rent of $1,000, your Expected Revenue for the month is $10,000.

Because Expected Revenue relies purely on the Active Lease count, if a tenant moves out and you allow a unit to sit Vacant, your Expected Revenue drops, accurately reflecting your diminished pipeline.

2. Collected Revenue (The Reality)

Collected Revenue is the summation of hard data: the actual, physical money that has entered your bank account.

How Landager Calculates It:

1. The system scans the Payments database for transactions logged during the current calendar month.
2. It filters out any payments marked as "Failed".
3. It safely sums the totals of all "Completed" payments.

3. The Dashboard Comparison

When you log into your main Dashboard, these two numbers are plotted against each other to instantly highlight discrepancies.

If your Expected Revenue is $10,000, but your Collected Revenue reads $8,000 on the 6th of the month, you instantly know two tenants have not paid.

Why the Lease is the Anchor

This simple comparison illustrates why proper lease management is so critical.

If you don't end an active lease when a tenant moves out, the system will continue to include their $1,000 in the "Expected Revenue" calculation indefinitely.

Your dashboard will constantly scream that you are underperforming collection goals, simply because maintaining the lease statuses provides the system with bad theoretical data. Keep your lease dates accurate, and your financial reporting will remain flawless.