Research guide

DST Due Diligence (2026): How to Compare Projections With Market Evidence

By Sequoia ResearchPublished October 17, 2026Read as Markdown

What Is This Article About?

This article explains how to test a Delaware statutory trust's (DST's) projections against relevant market evidence. It uses selected 2026 public research and a separate fictional apartment model. You will learn to match dates and definitions, check rent and expense assumptions, and test how several changes affect the same forecast. It also explains why a national statistic cannot validate the cash flow of a specific property.

Start With the Assumption You Need to Test

A forecast sets out choices about what may happen. Market research can help assess those choices, but it cannot turn them into facts. The first task is to name the assumption in terms clear enough to check.

“Rents will rise” is too broad. A useful statement says which units, which rent measure, what starting amount, which period, and what increase. It might describe asking rents on new leases, increases on renewals, or total rental cash expected next year. Those are different questions with different evidence needs.

The same applies to vacancy. A year-end occupancy target does not describe every vacant month during the year. A physical unit count does not reveal the rent lost to free months or unpaid bills. A forecast should explain the path from available units to cash expected from residents.

Make an assumption record before gathering charts. Record the forecast input, the source offered to support it, the date of that source, and the link between the two. Then ask what evidence would change the input. This helps prevent a search that only collects material supporting the initial forecast.

For instance, a forecast may assume a $100 monthly rent increase on 45 leases. The review needs evidence for the increase and for the timing and number of leases affected. A citywide rent index cannot establish all three. A current lease schedule and properly matched local comparisons are separate parts of the work.

A good review can reach a limited conclusion. It may find that a direction is plausible but an amount remains unsupported. It may support an initial rent while leaving the speed of leasing unresolved. Those distinctions are more useful than calling a projection “market based” without explaining which parts were checked.

Read the 2026 Evidence Without Mixing Measures

Two national releases illustrate why labels matter. CBRE's July 29, 2026 multifamily summary reports a second-quarter vacancy rate of 4.3%, up 10 basis points from a year earlier. It reports average monthly rent of $2,257, up 0.5% over the year and 1.5% over the quarter. These are findings for that research series, not a rent quote or occupancy forecast for an individual DST property. CBRE, U.S. Multifamily Q2 2026

The Census Bureau's July 28, 2026 web release reports a second-quarter national rental vacancy rate of 7.3%. It says that result was not statistically different from the 7.0% estimate one year earlier. The Census measure concerns rental housing inventory, while the CBRE release concerns its multifamily series. The figures should not be averaged into one supposed consensus vacancy rate. Census Bureau, Second Quarter 2026

Census defines rental vacancy in relation to the rental inventory vacant for rent and distinguishes other vacant-unit categories. The base count and the rules for each group matter. A property manager's count of vacant apartments can use a different boundary. Census Housing Vacancy Definitions

Nor is a consumer rent index a new-lease asking-rent forecast. The Bureau of Labor Statistics explains that its housing survey collects rents from sampled units every six months, with continuing rents making up most observations. It adjusts for changes in quality and services. Owners' equivalent rent measures housing services rather than home purchase prices. These methods help explain why the series answers a different question from a current property leasing quote. BLS Rent and Rental Equivalence Methods

The practical response to differing numbers is to inspect what each measures. Write down the geography, unit population, time interval, and method. Use the series that fits the question, or state why no available series is a close match. Choosing whichever number makes the forecast look strongest is not a valid comparison.

This article's public-source review was conducted on October 17, 2026. It is a bounded example, not a complete market report. The calculations below use invented Mesa Court apartments and fictional comparison properties. They are not forecasts for any named offering or conclusions drawn from those national averages.

Match Geography, Property Type, and Observation Dates

A useful comparison needs more than a nearby address. Check whether the properties compete for similar residents and offer a similar product. Unit size, age, condition, amenities, utilities, parking, lease terms, and renovation status may affect the comparison.

Start with a narrow question. If Mesa Court's forecast assumes higher rents after renovation, compare the renovated product with units that offer a similar finish. Existing unrenovated units may help establish the starting point. They do not, by themselves, prove the rent premium after work is finished.

Record why each comparison was included. Also record material exclusions. A nearby new building with a short-term opening special may still matter, but its price should not be treated as a stable rate without explanation. A distant luxury property may be a weak match even if it sits inside the same broad metro label.

Dates need the same care. A report published in July may describe April through June. A website visited in October may display a listing whose effective date is unclear. A transaction announced this month may have been negotiated many months earlier. Keep three dates distinct: when the data were observed, when the report came out, and when you read it.

A current forecast can use older data when the reason is clear. For example, a full year may show seasonality better than one recent month. But the review should explain why that historical period remains relevant and what newer evidence could challenge it. Calling an old rent “current” because its file was recently downloaded would obscure that judgment.

Do not invent an adjustment when the evidence does not support one. If utility treatment differs and the amount cannot be established, mark the comparison as incomplete for a total-cost test. A guessed adjustment can create a false sense of precision. It may be better to show a limited range with an unresolved difference.

The goal is a set of useful facts with clear sources. It is not the largest possible list of properties. Ten poorly matched listings can be less helpful than three well-supported leases, though even three leases cannot establish a reliable statistical forecast on their own.

Compare Asking, Contract, Effective, and Collected Rent

Asking rent is a proposed price. Contract rent is a term agreed in a lease. Effective rent reflects specified concessions over a defined period. Collected rent is cash actually received. A review should keep these measures separate and identify which one the forecast uses.

Consider three invented twelve-month offers for otherwise comparable units. Offer A asks $2,000 per month and gives one full month free. Offer B asks $1,950 per month with a $1,500 rent credit. Offer C asks $1,900 per month without a concession. Assume all terms apply to the whole lease and no other rent changes occur.

Fictional offer	Stated monthly rent	Total concession	Twelve-month rent	Effective monthly rent
A	$2,000	$2,000	$22,000	$1,833.33
B	$1,950	$1,500	$21,900	$1,825.00
C	$1,900	$0	$22,800	$1,900.00

The highest asking rent does not produce the highest effective rent in this example. Offer C has the lowest stated monthly figure but the highest twelve-month rent. Rounding the monthly figure does not change the exact annual total; use the unrounded total in later calculations.

Now ask about required charges. If Offer B also requires $100 per month for parking while the others include parking, its modeled twelve-month housing payment rises by $1,200 to $23,100. That compares a broader payment. It does not change the rent-only figure above. Keep the two definitions visible.

The conditions on a concession also matter. A credit may depend on a move-in date, lease length, or other term. A reviewer should confirm those terms before using the credit. A promotional headline without the conditions may not support the effective-rent calculation.

None of these offers proves cash collection. Actual collection requires a separate ledger and period. A signed lease may establish an amount due while late or unpaid amounts reduce cash received. Do not apply a bad-debt assumption twice if the historical base already uses collected rent after those losses.

For a real property, request a reconciliation from stated lease rents to expected cash. Identify vacancy, concessions, unpaid amounts, and any other adjustments. If the source only reports one combined loss measure, do not pretend its components were separately verified.

Check Rent Growth for Changes in the Sample

An average can rise because individual rents increased or because the mix of observed units changed. These effects can occur together. A headline growth figure needs enough detail to show which change it describes.

Use a separate invented sample of 100 observed leases. In the first period, 70 one-bedroom units rent for $1,800 and 30 two-bedroom units rent for $2,400. Total monthly rent is $198,000, giving a $1,980 average.

In the next period, suppose both unit types increase by exactly 2%. Their rents become $1,836 and $2,448. But the observed mix shifts to 40 one-bedroom and 60 two-bedroom leases. Total rent is now $220,320, or $2,203.20 per unit. The average rises about 11.27%, even though each unit type rose only 2%.

Hold the old 70/30 mix constant and the second-period average is $2,019.60. That is exactly 2% above $1,980. The difference reveals the effect of the changed unit mix. It does not imply that either published average was mathematically wrong.

The same issue can arise when a sample adds newer buildings, drops weak properties, or changes the share of renovated units. Ask whether growth is based on the same properties or units, and whether the report makes adjustments. Without those details, a total average may be a poor input for a specific property's renewal assumption.

Selection also matters. A sample of successful signed leases can omit units that remained vacant. That sample may still describe signed rents accurately, but it cannot establish the rent and occupancy outcome for the whole available inventory. Keep the observations that did not turn into leases in the review where possible.

Avoid turning a small comparison set into a probability claim. A few recent transactions are evidence to examine, not a complete distribution of future outcomes. Describe the range, limitations, and reasons for the chosen assumption rather than giving an unsupported likelihood of success.

Build a Property Revenue Bridge

Mesa Court is an invented 120-unit property used only for the following arithmetic. Assume each unit has a $2,000 monthly potential rent for a full year. Potential annual rent is 120 times $2,000 times twelve, or $2.88 million.

For this simple model, subtract 5% vacancy loss from that potential amount. That is $144,000. Subtract a further $60,000 of concessions and $24,000 of bad debt, both defined as separate losses on the occupied portion. Add $120,000 of other revenue. Total modeled operating revenue is $2.772 million.

Fictional base-year step	Amount
Potential annual rent	$2,880,000
Vacancy loss	−$144,000
Concessions	−$60,000
Bad debt	−$24,000
Other revenue	$120,000
Total operating revenue	$2,772,000
Defined operating expenses	−$1,200,000
Defined net operating income	$1,572,000

Net operating income, or NOI, means operating revenue less the operating expenses included in this model. Here it excludes debt service, trust expenses, capital work, reserves, and investor distributions. The definition is essential. The $1.572 million subtotal is not cash available to distribute.

The loss categories in this example are distinct by design. In an actual budget, the categories may overlap or use different bases. A combined economic-vacancy percentage may already include concessions or bad debt. Subtracting those again would understate income.

A point-in-time occupancy figure cannot establish the annual vacancy loss without further work. A property can end the year nearly full after spending several months with many empty units. The review needs a monthly or lease-level schedule, or a clearly explained simple assumption.

Check the other-revenue line too. Parking, fees, reimbursements, and other receipts may depend on occupancy or actual costs. A fixed annual amount may be a useful teaching assumption, but a real forecast needs a basis. A rent-growth chart does not validate an unrelated fee line.

Once the bridge reconciles, test one input at a time. That reveals the effect of each change. Then combine meaningful changes in a separate scenario, so the review can show how several reasonable-looking assumptions interact.

Translate Lease Changes Into the Correct Year

A rent increase has a start date. Even when the amount is supported, applying it to twelve months for every unit can overstate the first year's revenue. The model should connect rent changes to actual or assumed lease dates.

Use a separate timing example for Mesa Court. Suppose 45 leases each receive a $100 monthly increase. If each increase contributes an average of six months during the forecast year, added revenue is 45 times $100 times six, or $27,000. A full twelve-month calculation would show $54,000, twice as much.

The six-month average is an explicit simple assumption. A real schedule should use each lease's effective date and any expected vacancy, concession, or collection adjustment. A renewal that has not been signed should remain an assumption rather than a committed receipt.

Do not add the $27,000 example to the earlier revenue bridge by itself. It is a separate example of timing. Combining examples without a common starting budget can count the same rent increase more than once.

Renovations create another timing question. Higher rent may begin only after work, downtime, and leasing. The review should include the work cost, the period with no rent, and the date the new lease starts. A comparison showing a higher finished-unit rent does not establish that the work can finish within the forecast schedule.

For phased work, keep units in their respective groups. An unrenovated unit should not receive the finished-unit rent simply because another unit was completed. If the schedule changes, update both the cost timing and the revenue timing. A delay can affect more than one line.

Separate the first-year effect from a later stabilized year. A stabilized year assumes the chosen operating condition has been reached. It can be useful for comparison, but it should not replace the transition-year budget or make the cost of getting there disappear.

Review Expenses One Category at a Time

A general inflation assumption is a starting question, not complete support for every expense. Insurance, taxes, payroll, repairs, utilities, and contracts can change for different reasons and on different dates. Review the most material categories separately.

For insurance, seek the policy period, quoted or billed premium, coverage terms, and payment schedule. A broad index does not establish a specific renewal premium. For taxes, examine the relevant assessment, jurisdiction, exemptions if any, and the timing of possible changes. Do not assume the seller's bill by itself predicts the buyer's future bill.

Distinguish recurring work from a separate capital project. A low repair line may reflect recent major work, an omitted scope, or an ordinary operating pattern. The reason matters. Moving a cost outside NOI may change the subtotal without removing the cash obligation.

Use historical statements carefully. A partial year may omit seasonal costs or contain a one-time event. Annualizing it by multiplication can be misleading. Identify what the period includes, then show the adjustment rather than silently replacing the original amount.

The same care applies to reimbursements. If a tenant is expected to repay a cost, model the expense and recovery on consistent terms. A recovery may be capped, delayed, disputed, or affected by occupancy. Netting it to zero without reviewing those terms may hide a cash need.

For Mesa Court's next-year base forecast, assume potential rents rise by 3% and operating expenses rise by 4%. Keep vacancy at 5%, concessions at $60,000, bad debt at $24,000, and other revenue at $120,000. These are invented choices, not conclusions from the public market releases.

Potential rent becomes $2,966,400. Vacancy loss becomes $148,320. After the other stated adjustments, operating revenue is $2,854,080. Expenses rise to $1,248,000. NOI is $1,606,080, an increase of $34,080, or about 2.17%, over the base year's $1,572,000.

A 3% rent assumption therefore does not produce 3% NOI growth in this model. Revenue losses and expense changes shape the result. A reviewer who checks only the rent-growth line has not yet tested the projected operating-income growth.

Test Several Assumptions Together

One-variable tests are useful because they isolate a cause. Combined tests are useful because conditions can change together. Present both types, explain the choices, and avoid treating a short scenario list as a probability model.

For a separate downside year, keep potential rent flat at $2.88 million. Increase vacancy loss to 8%, or $230,400. Set concessions at $90,000, bad debt at $36,000, and other revenue at $110,000. Increase the original $1.2 million operating expenses by 8% to $1,296,000.

Operating revenue becomes $2,633,600 and NOI becomes $1,337,600. This is $268,480 below the next-year base forecast of $1,606,080. The downside combines chosen assumptions; it is not a claim that a public research source forecasts those amounts.

Fictional next-year input	Base forecast	Separate downside
Potential rent	$2,966,400	$2,880,000
Vacancy loss	$148,320	$230,400
Concessions	$60,000	$90,000
Bad debt	$24,000	$36,000
Other revenue	$120,000	$110,000
Operating expenses	$1,248,000	$1,296,000
Defined NOI	$1,606,080	$1,337,600

The Office of the Comptroller of the Currency (OCC) gives guidance on refinance risk. It discusses testing several changing conditions, including weaker finances, higher costs, and lower collateral values. Its scope is bank risk management. It supports examining combined pressures, but it does not approve these specific assumptions or certify a DST investment. OCC Bulletin 2024-29

A useful extra test asks what occupancy a specified cash budget would require. Consider a separate simple model with $2.88 million potential rent, $120,000 other revenue, and $84,000 fixed concessions and bad debt. Required cash uses are $1.2 million operating costs, $900,000 debt service, $180,000 capital and reserve funding, and a $300,000 distribution target.

Those uses total $2.58 million. Add the $84,000 losses and subtract $120,000 other revenue. Required rent before those fixed losses is $2.544 million. Dividing that amount by $2.88 million gives about 88.33% of potential rent, under the model's uniform-rent occupancy assumption.

That result is not a safe occupancy level. It assumes the losses and costs stay fixed as occupancy changes, and that the stated rent can be achieved and collected. A real property may not behave that way. The calculation is a way to identify what the budget requires, then compare that requirement with the evidence and other constraints.

Test Exit Value Without Predicting a Sale Price

An exit assumption can have a large effect on an investment projection. Examine both the income used at sale and the capitalization rate applied to it. A capitalization rate, or cap rate, relates the chosen annual NOI to property value in this simple method.

Use an independent fictional exit model with $1.8 million of annual NOI. At a 5% cap rate, indicated value is $36 million. At 5.5%, it is about $32.73 million. At 6%, it is $30 million. The same income produces different values because the chosen rate changes.

Now combine a 10% income reduction with the 6% cap rate. NOI becomes $1.62 million, and indicated value becomes $27 million. That is 25% below the $36 million starting case. A modest-looking change in more than one assumption can have a larger combined effect.

These are conditional arithmetic examples. The model does not establish a current transaction cap rate or forecast a buyer's price. For a real sale, check the property, close date, income basis, and condition. Review the deal terms too. A reported asking price is different evidence from a closed transaction.

Match the NOI period to the cap-rate method. Trailing income, current annualized income, and a future stabilized amount are not the same. If a report uses a future income estimate, review that estimate as well as the rate. Applying a market rate to an unsupported numerator does not validate the value.

Property value also differs from cash returned to investors. In a separate sale-proceeds bridge, assume a 3% selling cost, $18 million debt payoff, and $300,000 of other closing obligations. At a $36 million price, the modeled remainder is $16.62 million. At the unrounded $1.8 million divided by 5.5% price, it is about $13.45 million.

Keep unrounded amounts through the calculation and round only the display. The second price is about $32,727,272.73; after the stated costs and payoff, the remainder is about $13,445,454.55. These figures exclude any extra cash, taxes, or costs not specified. They are not an investor's total return or a promised exit receipt.

Ask how much of the projected outcome depends on a favorable exit. Compare a range and show the effect on proceeds. A model that only works at one exact future price needs a clear explanation of that dependence.

Document Conflicts, Missing Data, and Updates

Conflicting evidence is a research finding. It should trigger a review of definitions and scope before a choice is made. Do not resolve a disagreement by selecting the newest-looking cover or the most favorable number.

Suppose an invented leasing report says 114 units are occupied while a same-date cash file records payments from 108 units. These figures need not contradict each other. Six occupied units may have no receipt in that file for reasons that require investigation. Occupancy, amount due, and cash collected are separate records.

The next step is to match the records. Identify the units, period, cutoff, and payment status. A late receipt after the cutoff differs from a concession or an unpaid balance. The analyst should not label all six units as losses without checking what the files mean.

Missing data should also remain visible. If only asking rents are available, say that signed effective rents were not verified. If the expense budget lacks a current insurance quote, identify that input as unresolved. A precise number in a spreadsheet does not make its source complete.

The Financial Industry Regulatory Authority's (FINRA's) private-placement guidance calls for covered member firms to investigate material claims and follow up on concerns, including use of primary records. A third-party report does not by itself remove those duties. This article offers a research method, not a finding that a specific firm has met its obligations. FINRA Regulatory Notice 23-08

Preserve the version used for each conclusion. Record the report date, data period, source location, and review date. When a revised budget arrives, compare its changes with the old version before replacing it. Otherwise, a changed assumption can appear to have been part of the original decision.

A review cutoff should mean what it says. Evidence released later can inform a new review, but it should not be presented as information available for an earlier decision. Keeping those dates separate makes the research easier to reproduce and the update easier to understand.

Write an Evidence-Based Projection Review

The final report should distinguish supported inputs, chosen assumptions, and unresolved facts. A reader should be able to follow each material input into the forecast and see how a change affects the result. That is more useful than a general statement that the market looks strong.

For Mesa Court, the review would identify the potential-rent base, loss definitions, expense scope, and timing assumptions. It would show why 3% potential-rent growth becomes about 2.17% NOI growth in the selected base forecast. It would also show the $268,480 gap between that forecast and the combined downside case.

The exit section would identify its separate $1.8 million income assumption and cap-rate range. It would not silently carry Mesa Court's first-year NOI into that later sale model. The sale-proceeds bridge would state the payoff and costs before describing any remaining cash.

A strong conclusion can be conditional. For example, the base forecast may require a specific rent level and expense outcome that have not both been verified. Say which new evidence would support or weaken those inputs. A forecast range is not by itself more credible merely because it contains more numbers.

Keep the investment's broader limits in view. The Securities and Exchange Commission's (SEC's) private-placement bulletin warns about limited information and resale difficulty. Better projection work does not create liquidity, remove investment risk, or guarantee the eventual cash outcome. SEC Private-Placement Bulletin, Updated September 21, 2026

FAQ

Can National Rent Growth Validate a DST Projection?

It can provide context, but it cannot establish a specific property's rent. Match the location, unit type, period, and rent definition. Then inspect property and local evidence for the actual input. A national average does not verify lease timing or collection.

Why Can Two Vacancy Reports Show Different Rates?

They may cover different types of housing, locations, samples, dates, or vacancy definitions. Read those details before comparing the numbers. Do not average unlike measures or assume one must be wrong. Neither rate by itself equals a property's annual revenue loss.

Is Asking Rent the Same as Effective Rent?

No. Effective rent reflects specified concessions over a stated period, while asking rent is a proposed price. Required charges may need a separate comparison. Cash actually collected is another measure and requires evidence beyond the advertised offer.

Should Every Expense Increase by the Same Inflation Rate?

Not without a reason. Different costs can change on different dates and under different terms. Review material contracts, quotes, tax records, and historical statements. A single rate may be a simple assumption, but it should be labeled and tested.

Does a Downside Scenario Show the Worst Possible Outcome?

No. It shows the result of the selected inputs. Conditions could be worse, or different risks could matter. Explain why the scenario was chosen and avoid assigning probabilities without a supported model. Several scenarios do not cover every possible outcome.

Why Does a Higher Cap Rate Lower Modeled Value?

In the simple calculation, value equals the chosen annual NOI divided by the cap rate. Holding income fixed, a larger denominator produces a smaller value. Actual sale prices depend on more than this equation. The method does not guarantee a buyer or establish the correct rate.

What If the Current Market Data Are Incomplete?

State the gap and identify which assumption it affects. Use clearly labeled sensitivity cases if they help show the potential effect. Do not replace an unknown with a favorable fact. Update the review when more relevant evidence becomes available.

About Sequoia Research

Sequoia Research prepares educational research and tools for reviewing Delaware statutory trusts and their supporting evidence. This article uses a bounded public-source comparison and original fictional examples to explain projection review. It does not rank an offering, verify a private property budget, or provide an individual investment recommendation.

Sources

CBRE: U.S. Multifamily Q2 2026, July 29, 2026. Selected national series observations.
Census Bureau: Quarterly Residential Vacancies and Homeownership, Second Quarter 2026, web release dated July 28, 2026. Current-page content inspected October 17, 2026.
Census Bureau: Housing Vacancy Survey Definitions, rental vacancy and housing-category definitions.
BLS: Measuring Price Change in the CPI, Rent and Rental Equivalence, current methodology page inspected October 17, 2026.
OCC Bulletin 2024-29: Refinance Risk, October 3, 2024.
FINRA Regulatory Notice 23-08, May 9, 2023.
SEC: Private Placements Under Regulation D, August 17, 2022; updated September 21, 2026. Sources accessed October 17, 2026.