Screening Turnaround Targets in Distressed M&A Ecosystems

Screening distressed M&A ecosystems means systematically identifying companies showing insolvency-adjacent stress and assessing whether each is salvageable as a going concern or only valuable as a set of assets. The screen has two jobs: separate structural distress from cyclical noise, and decide the valuation premise before any pricing work begins. Unlike mainstream deal sourcing, the input is rarely a banker's teaser. It is the public record itself: annual accounts, auditor opinions, covenant disclosures, court filings and sector insolvency statistics that together reveal which companies are sliding toward a restructuring process.

The screening window is unusually wide right now, and the data behind it is verifiable. In Germany, local courts registered 24,064 corporate insolvency filings in 2025, 10.3% more than the previous year and the highest level since 2014, when 24,085 cases were recorded. In Europe, distressed deal value surged 56.3% year on year in the first half of 2025 to US$2.5 billion, even as deal count fell 10.9% to 163 transactions from 183 a year earlier, a pattern of fewer but larger targets. In the United States, Chapter 11 filings hit a decade-long high in 2025, with loan defaults including distressed exchanges averaging about 4.3% of all issuers, above the pre-pandemic 2-3% range.

For deal teams, the implication is discipline rather than urgency. Capital is not the constraint: private equity firms globally hold roughly US$1.2 trillion in buyout dry powder, with a growing share allocated to special situations and turnaround strategies. The constraint is screening quality. Reactive deal-chasing in a distressed market means competing for whatever reaches an auction, where pricing is least attractive. A repeatable screen built from public filings surfaces targets earlier, before competition compresses returns, and gives the team time to form a view on whether the business is a turnaround or a liquidation.

• Germany: 24,064 corporate insolvency filings in 2025, up 10.3% and the highest level since 2014, with creditor claims of roughly EUR 47.9 billion
• Europe: distressed deal value rose 56.3% to US$2.5 billion in H1 2025 across 163 deals, while volume fell 10.9%, concentrating opportunity in fewer, larger situations
• United States: Chapter 11 filings reached a 10-year high in 2025, with loan defaults averaging about 4.3% of issuers, above pre-pandemic norms of 2-3%

A distressed screen does not need proprietary data. The signals that matter most are already visible in public disclosures, and the discipline lies in reading them together rather than in isolation. Five signal categories form a workable framework, each drawn from documents companies are legally required to publish or file.

• Going-concern qualifications and auditor emphasis-of-matter paragraphs. An auditor's doubt about the ability to continue as a going concern is the single clearest public marker of insolvency-adjacent stress, and it appears in the annual report before any process letter exists.
• Covenant breaches, waivers and debt-maturity walls. The notes to the financial statements disclose breached covenants, obtained waivers and the schedule of upcoming maturities. A maturity wall inside 24 months, combined with no refinancing path, is a timing signal for when a distressed process becomes likely.
• Delayed filings, auditor changes and restatements. Late annual accounts, a switch to a new audit firm mid-stress, or a restated income statement are governance stress markers that often precede the financial signals by one or two reporting periods.
• Deteriorating liquidity and negative operating cash flow. Falling current ratios, cash burn across consecutive periods and shrinking headroom under revolving facilities indicate how many quarters the company can fund itself without new capital.
• Sector overlays. Insolvency frequency is heavily concentrated: in Germany, transport and storage recorded 133 insolvencies per 10,000 companies in 2025, followed by hospitality at 108 and construction at 104, against a national average of 69.

The sector overlay matters because it tells you where to point the screen before individual signals appear. A logistics or hospitality company showing early liquidity deterioration deserves faster escalation than the same signals in a sector with structurally low insolvency frequency. Overlay data also helps size the pipeline: because insolvency counts are dominated by very small companies, the screen must filter for deal-relevant size bands early, or the team drowns in sub-scale targets. One practical filter is the claim size disclosed alongside each filing, since large creditor claims correlate with the revenue scale most funds can underwrite.

One calibration point separates a good screen from a noisy one. Analysis by Alvarez & Marsal, reported in European deal commentary, found that 32% of European companies had fragile balance sheets even before the latest wave of tariffs, the highest proportion since 2021, with the German figure at 31.5%, up from 25.5% two years earlier. Fragility at that scale means the screen will flag many companies that never enter a process. The framework's job is to rank candidates by how close they are to a triggering event, a breached covenant, a failed refinancing, a missed filing, not merely to count stress markers.

Before pricing a distressed target, decide which valuation premise the facts support. Liquidation value assumes the business is broken up and assets are sold piecemeal, either in an orderly disposition or a forced one, with each asset priced at what it fetches in that sales context. Going-concern value assumes operations continue and cash flows accrue to a buyer who keeps the business running. The gap between the two premises is where most distressed valuation disputes live, and the choice is fact-specific, not a matter of preference.

Testing whether the business is salvageable

Three tests determine whether a going-concern frame is defensible. First, customer concentration: if the top three customers represent most of revenue and any of them has contractual termination rights triggered by insolvency or change of control, the revenue base may not survive the transaction itself. Second, contract terminations on change of control: supplier agreements, customer contracts and leases frequently contain ipso facto or change-of-control clauses that let counterparties walk when ownership shifts, and in a distressed context those clauses are read carefully and often exercised. Third, operational-restructuring feasibility: whether the cost base can be reset, whether management depth survives the process, and whether the capex needed to keep the asset base competitive is fundable given the target's constrained access to capital.

Adjusting standard valuation approaches for distress

The market, income and cost approaches all need distress-specific adjustment. Guideline public multiples come from healthy comparables and embed going-concern assumptions that a distressed target cannot support without adjustment for size, liquidity and probability of surviving the process. Discounted cash flow projections prepared by management should be treated as a hypothesis to test, not a baseline: in a distressed situation, management forecasts routinely assume refinancing that has not been secured and cost reductions that have not been implemented. The cost approach, which floors value at asset replacement or liquidation value, becomes the more reliable anchor the deeper the distress, precisely because it does not depend on the business continuing.

• Customer concentration and termination rights: quantify revenue at risk from counterparties who can exit on insolvency or change of control before assuming any going-concern multiple applies
• Contract review: identify ipso facto and change-of-control clauses in customer, supplier and lease agreements that could unwind the revenue base in a transaction
• Operational feasibility: test the cost base, management depth and capex requirements against a realistic restructuring plan, not management's base case
• Multiple selection: adjust guideline comparables for distress, or anchor on asset value where survival probability is low

Two technical workstreams decide more distressed deals than any other: reading the credit agreements as written, and understanding the working-capital dynamics underneath reported earnings. Both are detail-heavy, both reward early start, and both are where summary documents mislead most.

Read the actual credit agreements, not the summaries

Covenant analysis starts from the documents themselves. Research on 1,240 credit agreements found that the average agreement contains 80 distinct carve-outs and 8 deductibles to negative covenants, and that over 70% of contracts allow the borrower to issue additional senior secured debt in excess of 5x EBITDA later on, even when leverage was lower at origination. That hidden optionality matters directly in a distressed process: it determines which creditors can move collateral, issue priming debt, or restructure ahead of others. A summary term sheet will not show it. The same research sets out the six core negative-covenant categories that structure the review: liens, indebtedness, asset sales, payments, capital expenditures and affiliate transactions, each weakened to a varying degree by the baskets and carve-outs attached to it. The same document-level discipline applies in borrower covenant diligence, where control rights turn on defined terms rather than headline ratios.

Working-capital diagnostics

The second workstream is a 13-week cash flow model, built from actual receipts and disbursements rather than accrual accounting. It answers the question reported financials obscure: how many weeks of liquidity remain under stress, and where the cash is going. Alongside it, three diagnostics matter. Seasonality: map the working-capital cycle across a full year, since a distressed company with seasonal revenue may look solvent in peak months and breach covenants in troughs. Creditor days stretch: rising days payable outstanding signals that suppliers are being used as involuntary financiers, which accelerates when trade credit insurance is withdrawn. Earnings quality: test whether reported EBITDA includes PIK interest accretion, one-off items or add-backs that overstate cash generation, since in a leveraged distressed situation the gap between EBITDA and free cash flow is often the size of the problem. The same scepticism applies to the model itself, which is why investor checks on financial models belong in the distressed workflow too.

• Credit agreements and amendments: read the negative covenants, the baskets, and the definitions section, since defined terms like EBITDA carry the covenant math
• Covenant compliance certificates: compare what was certified against what the accounts show, and flag any restatement or qualification
• 13-week cash flow: build from bank statements and disbursement records, not management's model, and stress it for seasonality
• Earnings quality: strip PIK accretion, one-off items and aggressive add-backs from reported EBITDA before using it in any valuation

Distressed diligence runs on compressed timelines, which makes the evidence checklist more important, not less. The documents that matter are predictable, and the red flags that should stop or reprice a deal are equally so. What separates a defensible process from a rushed one is whether every finding is logged against a source document the investment committee can inspect.

Core document set

• Audited accounts for at least three years, plus auditor letters and management letters, which often contain going-concern discussion that never reaches the front of the report
• Credit agreements, amendments, waivers and covenant compliance certificates, since the amendment history often reveals how close the borrower has come to default
• Customer and supplier contracts, specifically the change-of-control, ipso facto and termination clauses that determine revenue durability
• Litigation registers and pending claims, including tax authority positions and employment liabilities, which in a distressed situation can materialise as senior claims
• Fixed-asset registers and collateral documentation, to establish what is actually pledged and to whom

Red flags that stop or reprice a deal

Some findings do not just reduce value, they change the transaction thesis. Successive going-concern qualifications across multiple audit cycles suggest the distress is structural rather than event-driven, and that management's recovery plan has already failed at least once. Undisclosed related-party transactions raise the question of what else has not been disclosed, and in a distressed context they often indicate value leakage before the process even began. Collateral that has already been stripped through a prior liability management exercise means the asset picture in the accounts may not match the secured-creditor picture in reality. And management projections that ignore the distress scenario entirely, presenting a base case with no downside sensitivity, are a governance signal that the diligence team should weight accordingly. Logging these in a structured risk register with red-flag reporting keeps the severity ranking explicit rather than buried in a memo.

Evidence-gap discipline ties the checklist together. Every finding, whether it supports or undermines the deal, should be logged with its source document, page and date, so the investment committee can trace each conclusion back to evidence rather than to a summary. In distressed processes, where information is asymmetric and timelines are short, that traceability is what allows a committee to distinguish between a finding that is verified and one that is merely asserted. Teams that already work this way in mainstream diligence, using structured findings registers and source-linked evidence, find the distressed variant is the same discipline under more time pressure, as covered in the evidence-backed approach to deal-team research and in the practice of version-controlled findings with source evidence.

Screening findings translate directly into deal structure. An out-of-court sale to a solvent buyer preserves the most value but requires cooperation from management and creditors. A court-supervised sale, such as an insolvency-process asset sale in the United States or a pre-pack administration in the United Kingdom, trades speed and finality against price transparency and stakeholder pushback. An assignment for the benefit of creditors offers a middle path in some jurisdictions. Each structure allocates risk differently between buyer and seller, and the diligence findings, particularly around contract terminability, creditor posture and asset condition, determine which structure is feasible. Out-of-court liability management has become markedly more popular precisely because it lowers process cost and shortens timelines, which means buyers increasingly meet a restructured capital structure rather than a clean insolvency estate. With well-capitalised sponsors competing for salvageable assets, structure selection is often the differentiator.

Where Plausity fits in the distressed workflow

Plausity is built for exactly the document-heavy, time-compressed analysis distressed processes demand. Data Room Ingestion connects to the VDR and processes PDFs, spreadsheets, contracts and financial models within minutes, which matters when a distressed process letter gives the team days rather than weeks. The AI-Analysis Engine reads and cross-references thousands of documents to produce diligence-grade analysis with source traceability, so covenant definitions, change-of-control clauses and going-concern language are extracted and connected rather than manually indexed. Risk Radar surfaces findings by materiality, financial impact, legal exposure and deal relevance, which is how a team distinguishes the covenant breach that kills the deal from the one that prices it.

Coordination and output matter as much as analysis in a distressed timeline. Collaboration Hub coordinates workstreams across the deal team, aligns legal, financial and commercial tracks, and keeps expert review of AI-generated findings in the loop, so nothing ships without a human sign-off. Report Builder drafts investor-ready deliverables with full source traceability, meaning the investment committee sees not just the conclusion but the document and page it came from. For teams running multiple distressed processes in parallel, the same evidence-backed approach applies across target screening through to investment committee. Built for today's investment and deal teams. Trusted by >200 firms.

The framework above compresses into a sequence that runs the same way whether the target is a mid-market logistics company or a carve-out from a stressed industrial group. The steps are ordered so that cheap, public-source work happens first and expensive, data-room work happens only once the deal has a realistic path to exclusivity.

• Build the screen from public filings: going-concern language, covenant disclosures, filing delays, liquidity trends and sector insolvency frequency, ranked by proximity to a triggering event rather than by stress count alone
• Move fast to data-room evidence once a process letter or exclusivity period lands, prioritising credit agreements, auditor letters and customer contracts over everything else
• Run covenant analysis and working-capital diagnostics in parallel with the valuation-premise assessment, since a covenant discovery can flip the premise from going concern to asset value and reprice the deal
• Log every finding with its source document, page and date, so the evidence chain from data room to report is unbroken
• Close with a risk register and an evidence-backed report the investment committee can interrogate, keeping professional judgment, not automation, as the decision-maker

Two habits make the sequence work under pressure. First, resist the urge to start pricing before the valuation premise is settled: in distressed deals, the premise is the valuation, and everything downstream inherits it. Second, treat the evidence log as a deliverable in its own right, not an internal courtesy. A committee that can trace each finding to a source document makes faster decisions and revisits fewer assumptions, which in a compressed distressed timeline is often the difference between signing and losing the asset to a better-prepared bidder.

Plausity is an AI-native due diligence and deal intelligence workspace that helps M&A advisory firms, VC and PE funds, corporate development teams and investment-banking teams structure evidence, findings and questions across a data room. Plausity supports evidence extraction, source grounding, findings management and IC preparation — it does not replace human analysts, advisers or investment professionals, does not provide legal, tax, audit, regulatory or investment advice, and does not make autonomous investment decisions. All findings require human review. Built for today's investment and deal teams. Trusted by >200 firms.

To explore the underlying capabilities, see the Plausity AI analysis engine and the findings and risk intelligence product page. For team-level workflows, see how VC and PE funds and M&A advisory firms use Plausity across live deals.

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