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Value-Add Office Underwriting: Assumptions Checklist

A practical assumptions checklist for underwriting 5–7 year value-add office deals. Break NOI into revenue gains, expense saves, and repositioning; build defendable rent, capex, timeline, and lender assumption sets; run stress tests and model unlevered returns before layering debt.

July 17, 2026 8 min read
Flat vector illustration about Value-Add Office Underwriting: Assumptions Checklist for commercial real estate professionals

You're looking at a value-add office with a 5–7 year hold, chasing NOI growth through capital improvements and operational fixes. Value-add office underwriting is where your assumptions live — and where most deals break down. Get the assumptions right and you make money; get them wrong and the sponsor eats the capex and the lender takes the keys.

The core idea, in one line

Value-add office underwriting is about modeling a business plan where capital improvements and operational changes drive NOI growth that exceeds the cost and risk of execution. If your returns depend on market appreciation rather than on realized NOI improvements, you didn’t underwrite a value-add — you gambled.

1) Start with the three NOI buckets

Underwrite with the specific actions that will change NOI. Break revenue and expense changes into three buckets and model each line item separately so you can trace cause and effect.

Increase revenue

Model rent steps, leasing spreads, and improved occupancy by suite. Don’t fold rent growth into a single blunt percentage. Build a schedule: which suites will turnover, what tenant types you’ll target, renovation timing, and the per-suite premium you can reasonably charge after work is complete.

Reduce waste

Itemize operating expenses you can cut without degrading the product. Management fees, outdated service contracts, and energy inefficiencies are typical targets. Model expense saves as discrete line items with timing and any one-time costs — not as a vague percent reduction applied across the board.

Improve market perception (repositioning)

This is where capex sits: lobby, facade, core-and-shell, bathrooms, and amenity build-outs. Underwrite a rent premium and an absorption curve for the renovated product. Be conservative on both — repositioning rarely uplifts the entire rent roll instantly.

2) Build the assumption sets you can defend

There are five assumption sets you’ll revisit frequently: current rents and vacancy, achievable market rents, capex and tenant improvement (TI) budgets, renovation timeline and downtime, and operating expense fixes. Treat each like a mini model with its own sources.

Rents and vacancy

Document the in-place rent roll line-by-line. For each lease, note term, rent step-ups, and options. For vacant suites, underwrite a realistic leasing lead time. For major renovations, assume disruption: industry practice is to model non-trivial vacancy during heavy renovation — often in the high single digits to low double digits during the work period.

Capex and TI

Price scope items by trade and include soft costs: permits, design, project management, and testing. Break capex into categories: immediate cure, value-add renovations, and deferred replacements. Add contingency. Don’t let a single back-of-envelope per-square-foot number drive your plan.

Timeline and downtime

Calendar matters. Model when capex hits the P&L and when new revenue actually starts. Assume phased work with overlapping tenant negotiations. If you assume full rent recovery the month after construction ends, you’re being optimistic — build a phased absorption curve instead.

3) Underwrite financing and lender overlays last — but respect them first

Debt changes the math. Build an unlevered model first, then layer in realistic financing. Industry guidance often places acquisition cap rates for value-add office in the 6%–8% range. Typical loan-to-value for these plays is often 60%–70%, and lenders will stress stabilized DSCR — commonly around 1.20x–1.25x at stabilization.

What that means: lenders underwrite to the asset’s as-is value with the sponsor’s plan visible in the motion, but they want to see a safe coverage ratio at stabilization. If your model only hits coverage because you pushed rent premiums or slimmed expenses past defensible levels, you’ll have trouble getting the leverage you planned.

4) Stress test the execution risks where they bite

Execution risk is the defining feature of value-add. Assume timelines slip and capex overruns. Model scenarios that reduce NOI — vacancy that stays higher than expected, tenant concessions, or longer free-rent periods. Stress tests should include both downside timing (delays) and downside magnitude (lower-than-expected rent premiums).

Two practical ways to run stress tests:

  • Run a sensitivity table with occupancy, market rent premium, and capex overspend as axes — check equity returns and coverage at each intersection.
  • Run a time-to-stabilization test: if stabilization takes two years longer, how does that affect refinance or exit options?

Mini-case: a 5–7 year value-add office plan (how I think about the assumptions)

We underwrite value-add office with a 5–7 year hold and a clear NOI plan. In that window we layer in capex to reposition and operate to achieve new rents. Key base assumptions I pull into every model:

  • Acquisition cap rate target range: 6%–8%.
  • Target unlevered IRR range: 10%–12% over the hold.
  • Leverage expectation: 60%–70% LTV at close (if debt is used).
  • Renovation vacancy impact: plan for material vacancy during heavy work — commonly modeled between about 15% and 20% in the active renovation window.

Put those assumptions into a three-scenario model: conservative, base, and aggressive. The conservative scenario reduces your rent premium and extends downtime; the aggressive one assumes tight timelines and swift absorption. If your base and conservative scenarios produce similar outcomes, your underwriting is robust. If the conservative scenario blows up returns, you need a smaller purchase price or a tighter capex plan.

5) What good modeling looks like in practice

Good models are auditable, granular, and linked to documents. Every assumption must point to a source: a rent comp sheet, a contractor bid, or a market survey. Keep these rules:

  • Line-item rents and vacancies, not aggregate percentages.
  • Capex by trade with soft costs and contingency separated.
  • Timing-driven cash flows so interest and lease-up effects are visible.
  • Debt layer applied after the unlevered returns look sensible.

If you can’t point to a comp or a bid for an important number, treat that line as high risk and require a contingency or a purchase price reduction.

Where a CRE-specific tool helps

If you’re tired of overwriting assumptions in spreadsheets, a CRE tool with an underwriting workspace can help you lock down assumptions, recalculate in real time, and share a read-only report with partners. For example, CREflow’s Underwriting tab on investment deals saves your assumptions, updates key metrics and charts as you edit, and provides a Share option so stakeholders can view the same numbers without changing them.

  • Use stored assumptions to keep scenario versions auditable.
  • Recompute metrics live as you change vacancy, capex, or rent-premium inputs.

See how storing assumptions in a CRE underwriting workspace can reduce version risk.

Key takeaways

  • Model NOI as specific actions: revenue gains, expense saves, and repositioning uplift.
  • Use granular capex and timing — backstop every number with a source or contingency.
  • Stress-test vacancy, rent premium, and capex overruns; lenders underwrite to stabilized DSCR, so those stress tests matter.
  • Run unlevered first, then layer realistic leverage (expect 60%–70% LTV and lenders looking for ~1.20x–1.25x DSCR).

FAQ

How conservative should rent premiums be?

Be conservative enough that your base case still works if absorption is slower by one full leasing cycle. Assume you capture your full premium only as suites turn over and after the renovation is complete.

What vacancy should I model during renovations?

Model a material vacancy impact during active renovation. Industry practice often uses a range in the mid-to-high single digits up to low double digits during heavy work; some underwriters use numbers around 15%–20% for the renovation window. Tail your number to scope and phasing.

When do I involve lenders in assumptions?

Early. Bring lenders the plan before close so they can validate their overlays. They’ll follow lender vs. investor underwriting differences, underwrite to the asset’s as-is value with the plan visible, and want to see stress tests that preserve a reasonable DSCR at stabilization.

How big should my contingency be?

Contingency varies by scope and market. If you don’t have contractor bids, increase contingency. Always separate contingency from base capex in the model so you can test outcomes with and without it.

Before you underwrite this, check this:

  • Line up rent comps and a lease-by-lease rent roll — don’t rely on market averages.
  • Get firm or bid-level pricing for major trades; estimate the rest with a clear contingency.
  • Model phased work and absorption timing; show the rent recovery curve by quarter.
  • Run sensitivity tables on occupancy, rent premium, and capex overruns.
  • Confirm lender overlays: cap rate expectations, likely LTV, and required DSCR at stabilization.

Underwriting value-add office is detailed work that pays off. Be granular, be skeptical, and force every optimistic input to have a paper trail. Your equity, your lender, and your investors will thank you.

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