Editorial
Best Emerging Markets to Invest in 2026: How Tariffs Redrew the Map
October 5, 2026 - Tariff access and near-shore capture reordered the 2026 Emerging Markets ranking, making bankability rather than forecast returns the deciding measure.
Editorial

Investor due diligence in Emerging Markets has shifted from a point-in-time document review to continuous, AI-monitored scrutiny that runs past financial close.
Geopolitical scenario modeling of trade, sanctions, and currency shocks is now a standing lender requirement, not a tail-risk afterthought.
Institutional lenders cluster their questions around three axes: financial durability under stress, governance depth, and quantified risk exposure.
DFI diligence assesses development impact, governance, ESG, and team quality at once, and writes ESG obligations into the contract after approval.
A data room built for continuous review answers the lender's question before it is asked, which is what separates raises that close from raises that stall.
Investor due diligence in Emerging Markets is the process this blog equips SME and mid-market sponsors to clear when they prepare an institutional or DFI debt raise in 2026. The standard has moved: lenders now run continuous, AI-monitored, geopolitically stress-tested scrutiny rather than a quarterly snapshot. This blog sets out the questions institutional lenders ask in investor due diligence in Emerging Markets, the evidence that answers them, and the data room a sponsor assembles to meet the bar. It is written for founders and finance leads entering diligence at DFI scale, often for the first time.
Investor due diligence in an Emerging Markets debt context is the process by which institutional and DFI lenders verify a sponsor’s financials, governance, and risk exposure before committing capital.
Investor due diligence in Emerging Markets now tests whether a capital structure holds under monitored stress, not whether a document folder is complete. The review verifies financials, governance, and risk exposure continuously, using AI to track a borrower against alternative data between reporting dates. This is the standard investor due diligence in Emerging Markets sets as of 2026. Geopolitical scenario-testing of trade, sanctions, and currency shocks sits inside that review as a standing requirement.
The technology behind the shift is already in place at the institutions a borrower will approach. Classical machine learning is in active use among 75% of financial-industry respondents, generative AI among 71%, and agentic AI among 52%. This is not a distant frontier for Emerging Markets either. 55% of the organizations surveyed operate in Emerging Markets and developing economies, against 45% in advanced ones. For investor due diligence in Emerging Markets, the lender reading a data room in Lagos or Bogotá brings the same monitoring toolkit as one in Frankfurt.
That toolkit meets a tighter capital environment. International project finance fell 16% in value and 12% in deal count in 2025, a fourth consecutive annual decline. Capital reaching developing economies grew only 2% to US$901B, against 11% for developed markets. Fewer transactions clearing means investor due diligence in Emerging Markets examines each one more closely, and the lender’s investment decision turns on evidence the sponsor can anticipate rather than scramble to assemble.
The static model treated the review as an event. A borrower assembled audited statements, answered a questionnaire, sat through a site visit, and received a decision. Continuous monitoring reorders that logic, and investor due diligence in Emerging Markets becomes a condition the borrower lives in. The lender’s model keeps reading the borrower after commitment, flagging covenant drift, payment behavior, and sector signals as they surface. The review no longer ends at commitment, and the gate it once was has become a condition.
For a sponsor, the practical consequence is preparation depth. Evidence that satisfies a one-time reviewer can fail the investor due diligence in Emerging Markets that revisits the same inputs each quarter and compares them against live data. The documentation set has to hold up on the tenth read of investor due diligence in Emerging Markets, not just the first.
Geopolitical events now reprice Emerging Markets debt at the issuer level, so lenders model geopolitical risk as a permanent pricing variable rather than a tail event. Supply-chain executives expecting elevated policy uncertainty in 2026 reached 53%, with nine in ten anticipating trade barriers to rise or hold.
Projected world merchandise trade growth was cut from 4.7% to between 1.5% and 2.5% after the late-February 2026 escalation.
In investor due diligence in Emerging Markets, a lender pricing a five-year facility against those figures wants to see the borrower’s own downside case. Scenario modeling of trade disruption, sanctions exposure, and currency movement has moved from a nice-to-have appendix to a section the reviewer opens first. If the assessment standard has moved this far, the sponsor’s next question is concrete: what exactly will lenders ask.
In investor due diligence in Emerging Markets, institutional lenders cluster their questions around three axes: whether the business generates durable cash flow under stress, whether governance can be trusted to run the borrower and report honestly, and whether risk exposure has been quantified rather than assumed away. Every document request maps back to one of these. A sponsor who reads the file this way can self-audit before submission. These three axes define what investor due diligence in Emerging Markets tests at institutional scale.
The financing backdrop sharpens each question. SME lending rates sit above pre-pandemic levels in 34 of 39 countries, and the MSME finance gap in Emerging Markets reached US$5.7T, equal to 19% of GDP. Capital is scarce and selective, which is precisely why understanding what lenders require before the diligence interaction begins shortens the path to a decision.
We have taken sponsors through institutional diligence on four continents, and the raises that close are the ones where the data room answers the question before the lender asks it. – Bart Turtelboom, Chairman & CEO of Delphos.
The three axes look different depending on which lender sits across the table, which is where the comparison below becomes useful, with the continuous scenario-tested model that investor due diligence in Emerging Markets now applies, across the attributes a sponsor now has to prepare for.
Within investor due diligence in Emerging Markets, financial questions probe resilience, not just performance. A reviewer wants cash-flow projections stress-tested against currency depreciation, input-cost inflation, and demand contraction, with the assumptions behind each line visible. Where debt is currency-exposed, FX structuring for currency-exposed debt is part of the evidence a reviewer expects. Historical financial statements establish a baseline. The scenario work establishes whether the borrower survives a bad year.
Within investor due diligence in Emerging Markets, governance scrutiny runs parallel and carries equal weight at DFI-level scale. Reviewers examine board composition, related-party controls, financial-reporting discipline, and the background check behind the principals and their decisions. A borrower with strong numbers and thin governance is a borrower whose numbers cannot be trusted, and reviewers treat it that way. Sectors that concentrate institutional attention, such as those where institutional capital concentrates, tend to draw the deepest governance review because ticket sizes are larger.
DFI-level investor due diligence in Emerging Markets widens the aperture. Development finance institutions evaluate development impact, governance, investment strategy, team quality, and ESG compliance simultaneously, and ESG obligations are written into the customer contract after approval rather than closed out at signing. Meeting DFI project readiness standards before submission is what separates a fundable pipeline from a stalled one. The bar is institutional, and it persists.
The staffing behind investor due diligence in Emerging Markets signals its seriousness. FMO alone embeds 33 ESG specialists across screening, diligence, contracting, and monitoring. Demand compounds the selectivity: MSME credit demand rose US$2.2T while supply increased only US$991B, a gap widening faster than GDP. Institutional structures are answering the gap, and IFC’s second Emerging Markets securitization packaged 62 originated loans into rated securities. A sector approach designed to lender requirements first clears the credit committee more predictably than one retrofitted late. Knowing the questions is one thing. Assembling evidence that answers them continuously is the build problem.
A data room that clears investor due diligence in Emerging Markets is structured for ongoing monitoring, not one-time submission. It pairs historical documentation with scenario-tested capital-structure evidence, organizes inputs so they can be refreshed against live data, and anticipates the lender’s model instead of reacting to it. Investor due diligence in Emerging Markets rewards the file built for the next read, not the last one. The difference from a static file is architectural, not cosmetic.
The macro case for scenario depth is visible in where capital moves. Greenfield investment in five strategic sectors rose from US$109B in 2020 to US$576B in 2025, lifting their share of global greenfield from 16% to 44%. Sponsors positioned in those sectors face investor due diligence in Emerging Markets from lenders who have capital to deploy and a sharpened lens for how it is protected. Meanwhile, EMDEs carry rising debt-service burdens that tighten scrutiny of any new obligation, which is why blended finance structures positioning concessional capital increasingly shape how these raises are built. The data room that anticipates this reads as the 2026 data room standard rather than last cycle’s file.
Historical financials describe the past. A scenario-tested capital structure demonstrates the future the lender is underwriting. The distinction matters because investor due diligence in Emerging Markets keeps testing the structure against conditions that were not present at signing.
Supply-chain strategy illustrates the scenario inputs lenders now expect. Executives name supplier diversification at 51%, higher inventories at 44%, and friend-shoring at 36% as top strategic shifts for 2026. A borrower whose model reflects these movements, and prices their cost, presents a capital structure the reviewer can defend to the committee. Static financials leave that work for investor due diligence in Emerging Markets to expose, which slows the decision.
Preparing for investor due diligence in Emerging Markets under continuous review means building documentation that survives repeated automated reading. Machine systems running investor due diligence in Emerging Markets compare submitted figures against alternative data, external filings, and payment records, raising red flags on discrepancies a human reviewer might pass over. Treating AI-verified data as an institutional baseline is now the expectation rather than the exception. Consistency across every document in the file becomes a structural requirement, not a matter of tidiness.
The practical build follows from that. Version control, reconciled figures across statements and projections, and a clear audit trail behind every assumption let a borrower withstand monitoring without triggering false flags. Covenant schedules and the term sheet must reconcile with the projections a reviewer stress-tests, because a covenant that fails under the downside case surfaces immediately under continuous monitoring. A file assembled to this standard converts investor due diligence in Emerging Markets from a risk into a demonstration of discipline. The framework holds in practice, which the transaction record shows.
Delphos has structured debt raises that cleared full institutional diligence, drawing on a track record across 600+ transactions. Two illustrate the range, from an SME fintech facility to a DFC-backed senior secured raise.
MAXXA (Chile, US$7MM): Delphos structured a tailored debt facility that aligned institutional requirements with the borrower’s fintech-lending platform.
ONEX (Greece, US$125MM): Delphos structured senior secured debt from the DFC through a full institutional diligence process.
Both raises cleared investor due diligence in Emerging Markets because the capital structure was built to the standard the lender applied, not adjusted toward it under review.
The diligence standard now rewards the sponsor who prepared for the question before it was asked, because continuous, scenario-tested scrutiny leaves no room to remediate mid-process. Delphos structures debt raises through Capital Raising and prepares sponsors to withstand institutional review through Transaction Advisory, building the capital structures and diligence-ready documentation that meet institutional and DFI requirements and accelerate the path to financial close. Delphos works with SME sponsors, corporates, and developers across Emerging Markets entering DFI and institutional-lender diligence.
Structure a raise built to clear 2026 diligence, backed by experience across 100+ countries →
Timelines run from several weeks to several months between engagement and commitment. DFI processes take longer than commercial ones because impact, governance, and ESG assessments run in parallel. Continuous monitoring diligence extends beyond close, keeping the borrower under review.
Lender requirements are the documentation and credit criteria a borrower must satisfy: financials, governance records, projections, and ESG evidence. Diligence is the process by which lenders verify and stress-test those inputs. Requirements define what to submit. Diligence determines whether the submission holds.
Core categories include audited financials, governance and board records, ESG documentation, and scenario-tested projections, alongside corporate and legal records. Contents-level detail sits in the 2026 data room standard blog. The organizing principle is evidence a lender can verify continuously, not a static folder.
Geopolitical events reprice Emerging Markets debt at the issuer level, moving currency, trade access, and input costs faster than a static model captures. Lenders require scenario modeling of trade, sanctions, and currency shocks so the capital structure they underwrite reflects conditions that now recur rather than surprise.
It is possible. The diligence bar and structuring requirements at DFI scale make advisory support common for first-time borrowers, because the standard assumes familiarity a first raise rarely has. An advisor closes the gap between a sound business and an institutionally legible one.
AI enables continuous monitoring against alternative data, replacing the point-in-time review with ongoing scrutiny. For a borrower, the practical shift is that documentation must stay consistent and defensible past close, because the lender's model keeps reading the file rather than closing it at commitment.
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