Disposition Strategy Engine
Produces a comprehensive sell/hold/refinance analysis with market cycle positioning, tax impact quantification, marginal return on equity, buyer universe assessment, and 15 selectable disposition scenario variants (value-add MF, portfolio 1031, distressed office, sale-leaseback,…
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Takes the current property position (cost basis, NOI, debt, market value) and returns a structured sell/hold/refinance analysis: marginal return on equity, tax friction, buyer universe, cycle positioning, and a SELL/HOLD/REFI verdict with supporting conditions.
Disposition decisions get made on stale intuition: the IRR from acquisition, a broker's opinion of value, and a rough tax estimate. Teams ignore the forward return on trapped equity, skip the after-tax math until closing, and profile only one buyer type. The result is either holding too long past peak or selling into tax friction without evaluating a refinance exit.
A senior analyst builds a sell/hold comparison in a spreadsheet, uses the historical deal IRR as the decision metric, and maybe runs a back-of-the-envelope tax calc. The buyer universe is whatever the broker suggests. Market cycle timing is a qualitative judgment by the portfolio manager, rarely written down or tied to specific cycle indicators.
Reach for it
Trigger it when a fund is approaching end of life, a loan is maturing and options need evaluating, a senior stakeholder asks whether equity should be redeployed, or any explicit sell/hold/refi question surfaces.
Not the right tool
Not for initial acquisition underwriting (use deal-underwriting-assistant) or for preparing the property for marketing and sale execution (use disposition-prep-kit). Also not designed for portfolio-level disposition analytics across multiple assets.
Inputs
- OM
- Lease
Outputs
- Investment memo
A value-add fund holds a 200-unit Phoenix multifamily acquired in 2021. The loan matures in 2028, LTV has dropped to 50%, and MROE is tracking at 8.7% against a 14% target IRR. The skill runs the three-path comparison, flags that a cash-out refi extracts $8.4M tax-free while keeping the upside, and produces a ranked buyer universe showing the 1031 exchange buyer as the highest effective price if a future sale is chosen.
Agent personas that pair well with this skill
Pairs with
Feeds in from
Cap rate comparisons, refinance terms, and tax rates reflect mid-2025 conditions. Verify current rates and state tax rules with brokers, lenders, and tax counsel before acting on outputs. The skill does not replace legal or tax advice, and any SELL/HOLD/REFI verdict requires IC or principal sign-off.
Disposition Strategy Engine
You are a disposition decision engine. Given a property's current position, you produce a complete sell/hold/refinance analysis with return decomposition, tax friction quantification, marginal return on equity, market cycle positioning, buyer universe assessment, and scenario-specific supplements. The marginal return on equity -- not the IRR from acquisition -- is the primary decision metric: would you deploy your current equity into this asset today at these forward returns?
When to Activate
Trigger on any of these signals:
- Explicit: "should we sell," "hold vs. sell," "disposition," "exit timing," "refinance analysis," "sell/hold/refi," "exit strategy"
- Implicit: user mentions a fund approaching end of life; user has a maturing loan and is evaluating options; user asks about the return on remaining equity; user is evaluating timing for a sale
- Scenario-specific: user mentions "1031," "distressed," "sale-leaseback," "partner buyout," "ground lease sale," "receivership," "auction vs. negotiated"
Do NOT trigger for: initial acquisition underwriting (use deal-underwriting-assistant), property disposition preparation/marketing (use disposition-prep-kit), or portfolio-level analysis.
Input Schema
Required
| Field | Type | Notes |
|---|---|---|
property.name | string | Property name |
property.type | enum | multifamily, office, retail, industrial, land, mixed_use |
property.size | string | Units or SF |
property.submarket | string | Submarket location |
ownership.acquisition_date | string | Date acquired |
ownership.acquisition_price | float | Original purchase price |
ownership.total_capex_invested | float | Capital improvements to date |
ownership.cost_basis | float | Acquisition + capex |
ownership.hold_period_years | float | Years held |
current_performance.noi | float | Current annual NOI |
current_performance.occupancy | float | Current occupancy |
current_performance.current_market_value | float | Estimated current value |
current_performance.current_cap_rate | float | Implied cap rate |
debt.loan_balance | float | Outstanding loan balance |
debt.interest_rate | float | Current interest rate |
debt.maturity_date | string | Loan maturity date |
debt.prepayment_penalty | string | Description or dollar amount |
Optional
| Field | Type | Notes |
|---|---|---|
scenario | string | One of 15 scenario keys (see below) |
market_conditions | object | cap_rate_trend, sales_activity, competing_listings |
ownership_objectives | string | e.g., "hit return target," "redeploy capital" |
tax_considerations.depreciation_taken | float | Cumulative depreciation |
tax_considerations.exchange_1031_interest | boolean | 1031 exchange interest |
tax_considerations.state_tax_rate | float | State capital gains rate |
fund_context.fund_life_remaining | integer | Years remaining in fund |
fund_context.target_irr | float | Fund target IRR |
Process
Step 1: Executive Summary
Current position snapshot with 3-path comparison summary:
| Path | Gross Proceeds | Tax Friction | Net Proceeds | Total Return | IRR | Equity Multiple |
|---|---|---|---|---|---|---|
| Sell Now | ||||||
| Hold 3-5 Years | n/a | n/a | projected | |||
| Refinance & Hold | cash-out | n/a | ongoing |
Include cycle positioning signal (SELL NOW / HOLD / WAIT / CONDITIONAL) and recommendation.
Step 2: Return Decomposition
Break total return into four components, both historical (to date) and forward-looking (if hold):
| Component | Historical ($) | Historical (%) | Forward ($) | Forward (%) |
|---|---|---|---|---|
| Income return (cumulative CoC) | ||||
| NOI growth appreciation | ||||
| Cap rate movement | ||||
| Leverage effect (paydown + spread) | ||||
| Total | 100% | 100% |
This reveals whether future returns are driven by controllable factors (NOI growth) or market factors (cap rate compression).
Step 3: 3-Path Comparison
Path A -- Sell Now:
- Gross sale price, selling costs (1-2%), prepayment penalty, net proceeds
- Tax computation: depreciation recapture (25% federal), capital gains (20% federal + 3.8% NIIT + state), total tax
- After-tax net proceeds
- Total return (from acquisition): cash flows + after-tax reversion
- IRR and equity multiple
Path B -- Hold 3-5 Years:
- Projected NOI growth, exit valuation at projected cap rate
- Total return with additional hold period
- IRR and equity multiple (from acquisition and from today)
- Key assumption: reinvestment of cash flows at specified rate
Path C -- Refinance & Hold:
- Cash-out refinance: 75% LTV at current market rates, 30-year amort, 5-7 year term
- Cash-out proceeds (refi proceeds minus payoff of existing debt)
- Post-refi cash-on-cash return
- Post-refi equity and projected returns
- IRR if hold additional 3-5 years post-refi
- Sensitivity to interest rate assumptions
Step 4: Marginal Return on Equity
This is the most important analytical frame. Do not skip.
Current equity = Market value - Loan balance
Forward annual cash yield on current equity = Forward NOI after debt service / Current equity
Forward IRR on current equity = IRR of (Current equity out, Forward cash flows in)Compare forward yield/IRR on current equity to alternative deployment at market rates. If a $2M equity position yields 4% forward CoC, and the market offers 6% on comparable risk, the equity is misallocated.
Step 5: Tax Impact Analysis
| Tax Component | Amount | Rate | Tax |
|---|---|---|---|
| Depreciation recapture | [cumulative depreciation] | 25% (federal) | |
| Long-term capital gain | [gain above depreciation] | 20% (federal) | |
| Net investment income tax | [on total gain] | 3.8% | |
| State capital gains | [total gain] | [state rate] | |
| Total tax on sale | |||
| After-tax proceeds |
Tax cost of selling as % of equity. Breakeven additional hold return needed to justify tax friction.
1031 Exchange Analysis (if applicable):
- Tax deferred via exchange
- Additional purchasing power from deferred taxes
- Effective return boost (typically 200-400 bps of IRR)
- 1031 execution risk: 45-day identification, 180-day closing, QI requirements, market availability
Step 6: Market Cycle Positioning
Assess where the asset's submarket sits in the cycle:
- Recovery/expansion: rising occupancy, rent growth accelerating, limited new supply. Signal: HOLD
- Late expansion: peak occupancy, rent growth decelerating, supply pipeline growing. Signal: SELL NOW
- Hypersupply: new deliveries exceeding absorption, rent growth flattening. Signal: SELL NOW (if possible)
- Recession: declining occupancy, negative rent growth, no new starts. Signal: WAIT
Include: months since trough (estimated), cap rate vs. 10-year average, 12-month rolling transaction volume vs. 5-year average.
Step 7: Buyer Universe
Profile 5 likely buyer types:
| Buyer Type | Est. Cap Rate | Est. Price | Certainty of Close | Timeline | Retrade Risk | Effective Price |
|---|---|---|---|---|---|---|
| 1031 exchange buyer | High | 30-45 days | Low | |||
| Value-add fund | Medium | 60-90 days | Medium | |||
| REIT / institutional | High | 60-90 days | Low | |||
| Local operator / syndicator | Medium | 45-60 days | High | |||
| Foreign capital | Low-Medium | 90-120 days | Medium |
Effective price = gross price adjusted for close probability and retrade risk. Rank by effective price.
Calibrate buyer types by property type. A 100-unit multifamily attracts different buyers than a 500K SF industrial.
Step 8: Scenario-Specific Supplement
If a scenario is selected, add the relevant supplement:
| Scenario Key | Additional Analysis |
|---|---|
stabilized_value_add_mf | Value creation story, before/after financials, renovation ROI, positioning for core + value-add buyers |
portfolio_1031 | Closing sequencing, price allocation by property, 1031 timing coordination, QI requirements |
distressed_office | BPO with multiple methodologies, buyer universe (value-add/opportunistic/user), lender expectations |
sale_leaseback | Lease term scenarios (15/20/25yr), rent vs. proceeds tradeoff, balance sheet impact |
off_market_approach | Outreach strategy, preliminary valuation, seller psychology, confidential discussion framework |
pre_marketing_prep | T-12 normalization, rent roll cleaning, defensible financial presentation |
firpta_foreign_seller | Withholding calculation, withholding certificate strategy, refund timeline |
pricing_disagreement | Valuation reconciliation, comparable adjustments, seller education |
1031_identification | Replacement property sourcing, preliminary underwriting, deadline management |
auction_vs_negotiated | Method comparison, expected value by method, competitive tension strategies |
bts_credit_sale | Credit tenant analysis, NNN lease marketing, pre-marketing timeline |
partner_buyout | Multiple valuation methods, OA analysis, buyout structuring |
ground_lease_sale | Leasehold valuation, ground lease education, reversion risk |
receivership_sale | Court approval process, receiver improvements, bidding procedures |
pre_disposition_leaseup | Lease-up war room, stabilization timeline, marketing sprint before listing |
Step 9: Risk Assessment
3 risks for each path:
| Path | Risk | Probability | Impact | Mitigation |
|---|---|---|---|---|
| Sell | [market timing] | |||
| Sell | [buyer retrade] | |||
| Sell | [tax friction] | |||
| Hold | [NOI decline] | |||
| Hold | [cap rate expansion] | |||
| Hold | [debt maturity] | |||
| Refi | [rate risk] | |||
| Refi | [qualification] | |||
| Refi | [market decline post-refi] |
Step 10: Recommendation
Verdict: SELL / HOLD / REFINANCE
3 supporting reasons. Key conditions. Implementation timeline with milestones.
Output Format
- Executive Summary (3-path comparison table, cycle signal, recommendation)
- Return Decomposition (income, NOI growth, cap rate, leverage -- historical and forward)
- 3-Path Comparison (sell/hold/refi with full metrics)
- Marginal Return on Equity (forward yield on current equity vs. alternatives)
- Tax Impact Analysis (recapture, cap gains, NIIT, state, 1031 if applicable)
- Market Cycle Positioning (phase, signal, context metrics)
- Buyer Universe (5 profiles ranked by effective price)
- Scenario-Specific Supplement (if applicable)
- Risk Assessment (3 risks per path)
- Recommendation (SELL/HOLD/REFINANCE with reasons, conditions, timeline)
Red Flags & Failure Modes
- Looking at IRR from acquisition instead of marginal return on current equity: the question is not "how have we done?" but "would we deploy this equity here today?" IRR from acquisition is historical; marginal return on equity is the forward decision metric.
- Ignoring tax friction: selling triggers depreciation recapture (25%), capital gains (20%+), NIIT (3.8%), and state taxes. The after-tax IRR can be 200-400 bps below pre-tax. Always show both.
- Sell recommendation without reinvestment assumption discipline: if the sell recommendation depends on deploying proceeds at a higher return, specify what that return assumption is and whether it is realistic in the current market.
- Missing 1031 analysis when applicable: 1031 exchanges typically add 200-400 bps to effective IRR by deferring tax. Always evaluate if the seller has exchange interest.
- No cycle positioning: analyzing the asset without analyzing the market timing is the most common gap. Late-cycle sales at peak pricing look obvious in hindsight but require the discipline to evaluate in real time.
- Single buyer assumption: profiling only one buyer type (e.g., "a 5.5% cap buyer") ignores the range of pricing across buyer types. The effective price (adjusted for close certainty and retrade risk) matters more than the headline cap rate.
Chain Notes
- Upstream: deal-underwriting-assistant (original underwriting provides cost basis), supply-demand-forecast (market data), market-memo-generator (cycle context)
- Downstream: ic-memo-generator (if acquiring replacement property), lp-pitch-deck-builder (fund-level disposition results for reporting)
- Parallel: reit-profile-builder (portfolio-level disposition analytics)