Research guide

Largest DST Sponsors (2026): How to Measure Public Track-Record Coverage

By Sequoia ResearchPublished Read as Markdown

What Is This Article About?

This article explains how to measure the part of a Delaware statutory trust (DST) sponsor's history that a reader can trace through public records. It examines selected ExchangeRight, Inland, and Capital Square documents available in 2026, with clear limits on what each record contains. Original examples then show how to count programs, test missing fields, and separate completed cash results from other events. Coverage describes the evidence available for a defined research task; it is not a rating of investment quality. No private investor records or complete industry history were obtained for this review.

Table of Contents

Define the Track Record Before Measuring Coverage

Start with the history you want to examine. “The sponsor's track record” is too broad for a useful percentage. It could mean every program launched, every property sold, every investment still operating, or a selected group of completed offerings. Each has a different denominator: the total against which you count the records found.

A practical definition might be all identified DST programs first funded from 2016 through 2020 under a named sponsor. Another might be all cash exits reported through a stated date. Write the definition before you search. Otherwise it is easy to let the available success stories quietly define the whole sample.

Then state what counts as coverage. Does a named announcement qualify, or must it contain dates and dollar amounts? Do you need enough cash-flow detail to reproduce a return? A record can satisfy the first test and fail the third. Keep those tests separate.

The Securities and Exchange Commission (SEC) advises readers to examine the methods, fees, market context, and selection behind performance claims. Its guidance also warns about presentations that select favorable results. A coverage review helps identify what is present and what is absent; it does not prove why a record is missing. SEC performance-claims bulletin.

Use a Question With a Checkable Answer

Compare two questions. “Is this sponsor transparent?” asks for a broad judgment. “How many of the 12 programs in this dated list have a named outcome record?” asks for a count that another person can check.

The second question still needs rules. A page that says a firm completed many programs may support the total it reports, but it may not identify each program. A property sale may not be the final event for every trust that owned an interest. A renamed issuer may appear twice until its identity is resolved.

Do not compress those issues into one yes-or-no transparency label. A stronger conclusion states the question, the sources, the count, and the limit. It might say that nine of 12 identified programs have a public event notice, while only four have all the cash fields needed for the next calculation.

Coverage Is About the Research File

A complete research file can describe poor results. A thin file can describe an investment that later performs well. The coverage measure does not decide either outcome. It tells the reader how much of a specific claim can be examined with the records at hand.

This distinction matters when searching for the largest DST sponsors. Large firms may have more programs to document. A long list of public results can still cover a small or uncertain share of that history. A small list can cover a defined sample in full without establishing a broad record of experience.

What Three Selected Public Records Show

We read the following selected records on October 18, 2026. This is a bounded comparison of document coverage, not an exhaustive search of these companies' websites. We did not request private reports or inspect underlying investor ledgers. The records also use different dates and completion definitions, so they do not support a common sponsor score.

ExchangeRight: A Total That Can Be Matched to Named Rows

ExchangeRight's eight-page track-record PDF is dated August 31, 2026 for its statistics unless noted otherwise. Page 3 reports 34 full-cycle offerings. Pages 4–5 list 34 named rows: 22 net-leased portfolios, six multifamily programs, three preferred-equity funds, and three acquisition-note programs. Thus, 34 of 34 in that stated full-cycle group have a named summary row. Only 28 are in the two DST groups just listed. This is a match within the selected report, not proof of complete company history or investor cash. Its footnote says net-leased return ranges include a 721 exchange path valued using the destination real estate investment trust's net asset value at that event. That path should not be treated as an all-cash final exit. ExchangeRight track-record PDF, pages 3–5.

Inland: A Completion Count With a Defined Scope

Inland's company page reports 155 completed Section 1031 exchange programs as of December 31, 2025. Its completion definition includes affiliates no longer serving as business manager, a stock-exchange listing, sale of all or substantially all assets, or a merger in which the program is not the surviving entity. That is broader than a cash property sale. The selected page supplies an aggregate count rather than 155 named outcome rows. We cannot calculate named-program coverage from this page alone, or infer how many are DSTs with final cash results. This does not establish that such records are unavailable elsewhere. Inland company metrics and completion definition.

Capital Square: A Current Count and an Earlier Average

Capital Square's July 16, 2026 West Creek release reports its 47th full-cycle DST program. A footnote dates the cited aggregate audited track record to February 17, 2026 and says five later completions had not yet been added to those averages. The individual release figures are separately described as not third-party audited. The release therefore supports a named event and explains a gap between two reporting cutoffs. We did not obtain the underlying audited brochure or investor cash records for this comparison. The release alone cannot establish whether all 47 outcomes have a complete public cash history. Capital Square West Creek announcement and footnotes.

What Can Be Compared Fairly

The evidence differs in form. One selected report lets us match its full-cycle total to named summary rows. Another gives an aggregate count and a completion definition. The third connects a named recent event to an older aggregate average. These observations help design the next document request.

They do not show that one firm has the best returns or the weakest disclosure practices across its whole business. We chose records to illustrate different coverage problems, not to conduct a market-wide competition. Treat the result as a map of the selected evidence and its limits.

Build the Program List Before Counting Documents

A sound coverage review needs a program list that does not change simply because you find more favorable stories. Use exact issuer names where available and record the sponsor relationship separately. Keep a stable research ID for each program, even if the public name later changes.

All cases from this point forward are fictional. Suppose analyst Rowan defines a sample of 12 programs first funded during a five-year period. Rowan finds 18 documents that seem relevant. Counting 18 documents against 12 programs would yield 150%, but that would not measure program coverage.

Four files are duplicate copies. Two are older versions of files already in the set. The remaining 12 current documents concern nine distinct programs. The useful initial finding is therefore nine of 12 programs with at least one current matched record, or 75% by count. There are still three programs without a matched record under the search rules.

Give Each Document Its Own Identity

A source log should preserve the document title, issuer name, stated date, date read, and the exact version used. Store an address or file reference that lets another reviewer reopen it. If the file is revised at the same web address, note that change.

Do not merge two issuers merely because their property names are similar. Suppose Rowan sees “Maple Court DST” and “Maple Court II DST.” An address match could be a useful lead, but the “II” may mark a distinct program. Keep separate entries until the legal identity and transaction history resolve the relationship.

The opposite problem is equally common in research. One issuer might be described by a legal trust name, a property name, and a short sales label. Three names may still refer to one program. Record the evidence for the link rather than assuming either three separate investments or one shared identity.

Preserve the List When a Search Finds Nothing

Rowan should retain all 12 program IDs in the review. Dropping the three unmatched programs would convert nine of 12 into nine of nine. That would make the file look complete only because the missing cases were removed.

An exclusion can be valid when the item falls outside the stated scope. If a verified record shows that one of the three unmatched entries was a fund rather than a DST, document the reason and revise the denominator. The new list has 11 programs, of which nine have matched records: 81.82% by count. That change comes from correcting the defined population, not from finding more documents.

Show both the old and revised count in the research notes. Readers should be able to see whether coverage improved through new evidence or changed because the sample changed.

Measure Fields and Complete Records Separately

Finding a named record is only the first test. You may also need entry dates, exit dates, contributions, distributions, final proceeds, fees, and a method. Define the required fields for the question before treating any row as complete.

Use a smaller original example with six programs. The task requires four fields: program identity, start date, outcome date, and outcome amount. A field counts as present only when the source supplies a value on the required basis. A label that says “successful exit” does not fill an amount field.

Fictional program Identity Start date Outcome date Outcome amount
Elm Present Present Present Present
Fir Present Present Present Present
Oak Present Present Missing Missing
Pine Present Missing Present Missing
Reed Present Present Present Missing
Willow Present Missing Missing Present

The table contains 17 present fields out of 24 required fields, or 70.83% field coverage. Only Elm and Fir have all four fields. Complete-record coverage is two of six, or 33.33%. Both statements are correct, but they answer different questions.

Field Counts Cannot Replace a Required Combination

The difference matters when the next step needs all four fields together. A date from Oak cannot fill Pine's missing date. Nor can an amount from Willow complete Reed. The unit of the next calculation is a matched program record.

Suppose Oak gains both missing fields. The file then has 19 of 24 fields, or 79.17%, and three of six complete records, or 50%. If instead two missing fields are filled in different still-incomplete rows, the field count could rise by the same amount without adding a complete record.

This is why a single coverage percentage can be misleading. Report the field-level count and the number of records that meet the actual calculation rule. Explain what the incomplete records still allow you to say.

Separate Presence From Support

A field can be filled but unsupported. Imagine that Pine's start date is copied from a search preview, while the opened document gives no date. The date cell may contain text, but it should not count as supported under Rowan's rule requiring an inspected source.

A second layer can track whether the field is present, whether its source was inspected, and whether it applies to the right program. Do not average those layers into a score that hides the weakest link. A neatly completed spreadsheet can still contain a mistaken identity or the wrong period.

Also preserve “not applicable” with a reason. A continuing investment might not have a final cash exit date yet. That is different from an exited program whose date was not found. An appropriate field can be absent because the event has not occurred, rather than because the document is incomplete.

Keep Active Programs and Different Exit Types Visible

A completed-program report answers a narrower question than a history of all programs. Programs still operating remain part of the sponsor's experience, even when their final results cannot yet be measured. Keep them in a separate part of the file.

Return to Rowan's 12-program sample before the later scope correction. Six have completed cash exits, two moved into continuing investment interests, three remain active, and one has an unresolved status. Those categories total 12. They should not be collapsed into eight final cash outcomes and four failures.

Within the six cash exits, Rowan has enough matched records to reproduce four cash totals. Coverage for that specific calculation is four of six, or 66.67%. Coverage across the entire original 12-program sample would be four of 12, or 33.33%. Neither percentage measures the number of successful investments.

A Continuing Interest Is Its Own Evidence Type

Suppose a fictional investor receives units in another vehicle with a stated event-date value of $110,000. The investor has also received $20,000 in earlier cash. The file can show $20,000 of cash plus a continuing interest valued at $110,000 on the stated basis.

It should not describe $130,000 as final cash received. The later value, sale terms, cash receipts, and remaining ownership need further tracking. A methodology may include an event-date value in a reported result, but the report should name that method beside the figure.

Likewise, a reported property sale does not by itself tell you the investor's last cash receipt. Debt repayment, transaction costs, holdbacks, and the trust's closing process can separate the asset event from final investor payment. Ask which event the source's date actually marks.

Missing Outcomes Do Not Become Zero Returns

Rowan cannot fill the unresolved program's return with zero and call the sample complete. Zero is an economic result. Unknown means that the needed evidence has not established a result.

The same rule applies to an active program without a recent value estimate. Keeping its original cost in a return model may be a modeling choice, but it is not a verified current value. If a model uses that assumption, show it separately and explain its effect.

A coverage review should make these distinctions visible before the performance study begins. Otherwise a simple missing-value rule can quietly change the apparent returns.

Check Whether the Reported Return Can Be Reproduced

A published percentage is evidence that the source reports that percentage. Reproducing it requires the relevant inputs and formula. Checking the arithmetic is yet another task. Keep all three levels in the record.

In a fictional program, an investor contributes $100,000. The records show $24,000 in total distributions and $86,000 of final net cash. Total cash received is $110,000, and the cumulative cash gain is $10,000, or 10%. This model assumes those are all contributions and receipts, before personal taxes and separate account costs.

The totals allow that cumulative calculation. Without the dates of the distributions, they do not support a precise dated internal rate of return. That measure uses when each cash flow occurs. A reported annual percentage cannot be verified from totals alone just because the cumulative gain adds correctly.

Ask Which Amount Is Net

Change one fact in the example. The $86,000 is gross sale proceeds allocated to the investor before $6,000 of final charges, rather than net cash. Final net cash is then $80,000. Adding the $24,000 in distributions produces $104,000, a $4,000 gain or 4% cumulatively.

That six-percentage-point difference comes from the meaning of one field. It shows why “amount present” is weaker than “amount on the required basis.” A coverage table should preserve that basis, including whose costs and taxes it includes or excludes.

Do not fix an unclear return by choosing the interpretation that seems most likely. Mark the field unresolved and ask for the source schedule. If a later schedule provides the answer, update the calculation and retain the earlier uncertainty in the review log.

Verify Included Cash Once

Suppose a final statement shows a $92,000 payment that includes the last $6,000 distribution and $86,000 of sale proceeds. Earlier distributions total $18,000. Correct total cash is $110,000: $18,000 plus $92,000.

Adding $24,000 of all distributions to the full $92,000 would produce $116,000 and count the last distribution twice. A file may have every requested document and still contain this error. Coverage supports verification; it does not replace it.

For each payment, keep the event date, receipt date where known, amount, and whether another total already includes it. Reconcile a summary to the detailed records. Stop if the details do not add to the headline.

Keep Independent Review Claims Narrow

The Financial Industry Regulatory Authority (FINRA) identifies past-performance representations and potentially selected results among the issues covered firms should consider when investigating private placements. It also discusses careful use of third-party work and relevant new developments. A public coverage count is not proof that a broker has met those duties. FINRA Regulatory Notice 23-08.

If a source says that a report was audited, ask what report, period, population, and measures were covered. Obtaining the report and reading its scope is stronger evidence than seeing the word in a release. Do not transfer an audit description to later results that the source excludes.

Compare Counts, Dollars, and Time Without Mixing Them

Program-count coverage gives each program one vote. Dollar coverage asks a different question. If initial capital is known on a common basis for the entire defined sample, you can measure the share of that capital represented by the records found.

Consider four fictional programs with initial equity of $10 million, $20 million, $30 million, and $40 million. The total is $100 million. If complete records exist only for the first two, count coverage is two of four, or 50%. Equity coverage is $30 million of $100 million, or 30%.

If complete records instead exist only for the last two, count coverage is still 50%, while equity coverage is 70%. The two research files have equal numbers of complete programs but cover very different amounts of initial capital.

Do Not Invent the Dollar Denominator

The calculation requires known capital for all four programs. If the fourth program's equity is missing, you cannot present a verified percentage of total equity covered. Use a count measure and report the missing capital field separately.

Avoid substituting property purchase price, debt-inclusive value, or current assets for initial investor equity. Those amounts may be useful in other analyses, but they change the measure. The denominator should use the same definition as the numerator.

If only the known-capital subset is being examined, name it clearly. A result about that subset should not be labeled as coverage of all sponsor capital. Readers need to know what has been left out before they rely on the percentage.

Measure Time Coverage for Operating History

A dated sequence can have gaps even when each program has a record. Suppose a fictional review covers four programs over 12 quarters. That creates 48 expected program-quarter observations under the chosen rule.

If the file has 36 usable observations, time coverage is 75%. But distribution matters. One file could have all 12 quarters for three programs and none for the fourth. Another could have nine quarters for each program. The same percentage hides different gaps.

Show the missing intervals in a small grid or a list. A gap around a debt maturity or property sale may matter more to the research question than a gap in an otherwise uneventful period. Do not assign a risk score from timing alone; use it to choose the next record request.

Explain Different Reporting Ages

A record published recently may describe an older period. In a fictional example, a report issued September 15 covers June 30, and Rowan reads it October 18. The publication lag is 77 days. The underlying data is 110 days old when read, while the report has been public for 33 days.

Each interval answers a different question. None alone proves a late report or poor service. To assess timeliness, first identify the actual reporting commitment and any applicable schedule. Without that standard, call it a dated observation rather than a missed deadline.

Record Search Limits and Update the Evidence

A review should describe where it looked, what it accessed, and what it could not inspect. This makes the result useful to someone who wants to extend the work. “No record found” is meaningful only when the search scope is clear.

Separate an absent search result from an inaccessible file. A broken download, a login page, and a public page with no relevant detail are different observations. Record each one without guessing what the unseen document contains.

The SEC's updated private-placement bulletin explains that private offerings may provide less information than registered offerings. That context supports a careful statement of evidence limits. It does not tell you that a specific missing record is harmless or that it was improperly withheld. SEC private-placement bulletin, updated September 21, 2026.

Keep Public and Privately Supplied Evidence Separate

If a sponsor later sends a private report, the overall research file may improve. The public-coverage claim does not improve unless the record is also available under the public access rules you defined. Keep separate counts for public and supplied material.

For example, Rowan has public records for nine of 12 programs. A privately supplied package adds matched records for two previously unmatched programs. The combined file now covers 11 of 12, or 91.67%, while public coverage remains nine of 12, or 75%. Publishing the combined figure as public coverage would overstate what another reader can access.

Respect any limits on use or sharing of the supplied material. A citation to a private document should not imply that a reader can click through to inspect it. Explain what was available to the reviewer and what remains unavailable to the public.

Treat a Revised File as a New Version

Suppose an updated report changes three program rows. One correction affects a date, one changes an amount, and one changes the event classification. Do not merely replace the file and keep the earlier calculations marked complete.

Identify which findings depend on each changed field. A date change may affect a holding-period calculation. An amount change affects cash totals. A shift from final cash exit to continuing interest changes which group the program belongs in. Some conclusions may remain supported while others need to be reopened.

In an original six-finding review, assume the three changed rows affect four distinct findings. Two findings remain usable and four need review. Counting three changed rows as three affected findings would miss the way records support more than one conclusion.

Use Search Tools as Leads

Automated extraction can help locate names, dates, and amounts. Check the actual source before crediting the field. A search preview may show a number from an old version, a nearby table, or another program.

For a table, inspect the row and column labels together. A value next to “full-cycle” may not be the active-program count. A footnote marker may be joined to a number during text extraction. Keep a visible page reference where the layout affects meaning.

Write a Coverage Finding That Readers Can Use

Finish with the defined task and the evidence found. Avoid a single percentage in a headline without its denominator. Readers should be able to understand the result without opening your entire workbook.

A useful original finding for Rowan might read: the fixed 12-program sample has public matched records for nine programs. Four of six reported cash exits have enough supported cash totals for a cumulative calculation. Two other programs involve continuing interests, three remain active, and one has unresolved status. The review does not establish a current return for the whole sample.

That finding gives the reader several next steps. Request the missing cash details for the two exited programs. Clarify the unresolved status. Obtain relevant current records for active and continuing positions. Preserve the public-access limit if additional files arrive privately.

Keep the Result From Becoming a Rating

A coverage percentage can be useful for planning research effort. It should not be renamed a sponsor score, a safety grade, or a probability of a favorable result. Even fully documented outcomes can reflect different property types, market periods, leverage, fees, and strategies.

Nor should a coverage finding accuse a sponsor of hiding information without evidence. The record may be private, outside the chosen search scope, or not yet due. State the observed limit and ask the next question.

The strongest result is a research file another reader can trace: a defined program list, dated sources, explicit missing fields, checked calculations, and a clear account of what remains unknown. That structure helps the next reviewer add evidence without rewriting the meaning of the earlier findings.

FAQ

What is public track-record coverage?

It is the amount of a defined program history supported by records available under stated public-access rules. Define the program list and the required evidence first. A named announcement, a complete cash record, and a reproducible return are different levels of coverage.

Does 100% coverage mean a sponsor is safe?

No. It means that every item in a defined group met a stated evidence rule. The rule could be as narrow as having a named summary row. It does not guarantee that the record is complete, independently verified, profitable, or relevant to a new offering.

Can I use the number of public announcements as the denominator?

Usually that would let the search results define the sample. Start with a separate, dated program list where possible. Remove duplicates and match issuer identities. If the full program population is unknown, report the observed count and explain why a broader percentage cannot be calculated.

Should active programs be excluded from a sponsor-history review?

They can be excluded from a clearly defined study of completed cash exits. They should still appear in a broader inventory of the sponsor's program history. Their unfinished status is useful information, not a zero return or an investment failure.

What if a source says its track record is audited?

Record exactly which report, date, measures, and program group the audit description covers. Request the underlying report if that fact matters to the review. Do not extend the description to later results, other affiliates, or investor-specific outcomes without support.

Is missing information evidence of a bad result?

No. Missing information limits the conclusion you can draw. It may justify a further request or a pause in the analysis, but it does not establish the reason for the gap. Keep a missing value distinct from a known loss, a zero amount, and an event that has not happened.

How often should a coverage review be updated?

Tie updates to new reports, material changes, and the decision being made. Record both the source's measurement date and when you read it. Reopen conclusions affected by changed inputs instead of assuming that a new file leaves every earlier result intact.

About Sequoia Research

Sequoia Research, LLC provides independent research on DSTs and other real estate investment offerings. This educational library explains source documents, comparison methods, and questions readers can take to qualified financial, tax, and legal professionals.

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