# Moraine Sample Office: fictional source packet

**Fictional example. Manually mapped inputs. Not a customer deal, investment recommendation, or document-extraction benchmark.**

## Page 1 — offering memorandum excerpt

Property: Moraine Sample Office, a fictional office property.
Rentable area: 10,000 SF. Illustrative acquisition price: $3,000,000.
This sample has one tenant, no debt, no recoveries, no rent growth and no capital expenditures. These simplifications are deliberate; they are not defaults for a real acquisition.

## Page 2 — rent roll as of January 1, 2026

| Tenant | Suite | Area | Contract rent | Monthly rent | Lease starts | Lease expires | Recovery method |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Sample Office Tenant | 100 | 10,000 SF | $30/SF/year | $25,000 | 2025-01-01 | 2035-12-31 | Gross; no expense reimbursements |

## Page 3 — illustrative trailing operating statement

Period: January 1 through December 31, 2025.

| Line | Annual amount |
| --- | ---: |
| Rental income | $300,000 |
| Operating expenses | $100,000 |
| Net operating income | $200,000 |

## Page 4 — explicit buyer assumptions

Analysis starts January 1, 2026; first year ends December 31, 2026.
Projection and hold: three years. Rent and expense growth: 0%.
General vacancy and credit loss: 0%. No future turnover during the hold.
Debt, additional revenue, recoveries, capital expenditures and sale costs: none.
Exit cap rate: 6.5%, applied to the final hold year's NOI; sale at month 36.
Discount rate: 8%, end-of-period convention with annual compounding. These are illustrative buyer assumptions, not extracted lease facts.

## Page 5 — scenario override

Reduce the tenant's $30/SF/year rent assumption by 10%, to $27/SF/year, while holding every other input constant.
The base lease fact remains $30/SF/year. The lower rent is a hypothetical buyer stress, not an amendment or a new contractual term.

## How this demonstration was produced

The source values above were entered explicitly into Moraine's engine input. Both cases use the production calculation engine and production XLSX export function from the recorded source revision. No OCR or LLM extraction was run.

Open the base and rent-downside workbooks side by side. The evidence JSON identifies the exact worksheet cells checked against engine outputs and records input values, calculation results and file hashes.

These exports contain report values and formula documentation. Do not assume changing a cell in Excel reruns Moraine's model; the downside workbook was recalculated in the engine and exported separately.