A post-closing purchase price adjustment typically works by measuring specified financial metrics — working capital, cash, debt, and sometimes net assets — as of the closing date and comparing them to contractually agreed targets. If actual working capital at closing is below the target, the seller pays the buyer the difference; if above, the buyer pays the seller. The adjustment is calculated from a closing date balance sheet prepared after the transaction closes, creating uncertainty that persists for months.
In a standard private company acquisition using a cash-free, debt-free structure — the most common framework in US private equity and technology M&A — the agreed base value represents the enterprise value of the business assuming a normalized working capital level, no cash (which either stays with the sellers or is included in the price as a credit), and no funded debt. The adjustment mechanism then measures actual working capital against a target (a shortfall reduces the price, an excess increases it), actual closing cash, and actual closing date indebtedness. Sellers receive the base value adjusted for these items. The adjustment is typically computed from two statements: an estimated closing statement prepared by the seller a few days before close, which forms the basis for the amount actually paid at closing, and a final closing statement prepared by the buyer within sixty to ninety days post-close, which determines the final price. Any difference between the estimated and final statements is settled as a post-closing payment in one direction or the other. The dispute resolution mechanism — usually an accounting referee for pure accounting disagreements and arbitration or litigation for legal interpretation disputes — determines how contested items get resolved. The indebtedness definition governs which obligations get counted as funded debt and deducted from the price: in most deals it covers borrowed money, notes and bonds, capital lease obligations, and often extends to contingent obligations, guarantees, and the indebtedness of subsidiaries. The precise scope of this definition is one of the most consequential negotiations in any acquisition — and it receives the least attention from sellers who have focused their energy on the headline number.
The Save Mart litigation demonstrated that ambiguous language in post-closing adjustment provisions will be resolved against the party that failed to draft precisely, regardless of what the parties subjectively intended. In that case, an imprecise definition of indebtedness — combined with the agreement's instruction to follow GAAP — resulted in a $70 million swing in the adjustment calculation that the sellers did not anticipate and could not undo after the arbitration panel ruled.
The Save Mart/Kingswood Capital dispute illustrates the specific failure mode of mid-deal restructuring without comprehensive definition review. Save Mart, a California supermarket chain, held approximately a 52% general partnership interest in Super Store Industries (SSI), a wholesale grocery distributor that carried approximately $109 million of debt. Because Save Mart accounted for SSI using the equity method — reflecting only its net investment ($22.5 million) rather than SSI's gross assets and liabilities — the $109 million of SSI debt did not appear on Save Mart's balance sheet. The original acquisition agreement defined "Closing Date Indebtedness" to include the indebtedness of all Operating Subsidiaries, and SSI was listed as an Operating Subsidiary. As the deal approached closing, Kingswood's lenders asked for a restructuring: Save Mart's SSI partnership interest would be spun off pre-close and sold separately to a Kingswood affiliate at a fixed $90 million price. The amendment achieving this restructuring updated the purchase price formula to subtract the $90 million SSI consideration from the base value, but it did not update the definition of Indebtedness, the definition of Closing Date Indebtedness, the definition of Group Companies, or the disclosure schedule listing SSI as an Operating Subsidiary. When Kingswood prepared its post-closing statement, it included the full $109 million of SSI debt as a deduction from the base value — a position Kingswood had not asserted in the pre-closing estimated statement, which both parties had accepted without including the SSI debt. The resulting adjustment required the sellers to pay Kingswood approximately $70 million. The sellers' pre-closing estimated statement, the original letter of intent's treatment of SSI debt, and testimony from both sides indicating that SSI's debt had simply never been discussed as part of the deal's indebtedness calculation — all of this extrinsic evidence pointed in one direction. The arbitrator pointed in the other one, because the definition was unambiguous as written.
The Delaware court confirmed the arbitration award despite acknowledging that the outcome seemed harsh because the parties had expressly chosen binding arbitration under a contractarian framework. Delaware corporate law respects parties' freedom to contract, including their choice of final dispute resolution. Once the parties agreed that the arbitrator's determination would be final and binding, courts have extremely limited grounds to overturn the result even if they would have ruled differently.
Delaware contract law operates under a strong plain-meaning principle: if contract language is unambiguous, courts will not admit extrinsic evidence — prior drafts, negotiations, correspondence, witness testimony about intent — to modify its meaning. This rule exists to provide certainty: parties who negotiate and sign documents in Delaware should be able to rely on those documents without fear that a court will reconstruct a different agreement from collateral evidence. In the Save Mart arbitration, the sellers argued for contract reformation based on mutual mistake — the theory that both parties had made a mistake about what the written agreement said, and the court should reform the document to reflect what they actually agreed to. To prevail on a mistake claim under Delaware law, a party must show clear and convincing evidence of a specific prior understanding that differed materially from the written agreement. The arbitrator found no such evidence: witnesses from both sides testified that the two sides "simply never discussed" the treatment of the SSI debt during the acquisition process. Mutual silence, the arbitrator concluded, is not the same as a mutual understanding. Vice Chancellor Laster, confirming the award, noted with evident discomfort that he believed the outcome was "economically divorced from the intended transaction" and that he "would have ruled differently" — specifically, that the amendment's separate treatment of the SSI interest, read alongside the accounting rules provision, created at least an ambiguity that would have allowed extrinsic evidence. But the standard to overturn a binding arbitration award is "manifest disregard of the law" — requiring proof that the arbitrator knew the controlling legal principle, knew it applied, and willfully refused to apply it. The arbitrator had carefully applied Delaware law. Laster confirmed the award, disagreement and all. Had this dispute been litigated in the Court of Chancery rather than submitted to arbitration, the sellers likely would have had an appellate path to a different result. The arbitration election closed that path.
Post-closing adjustment disputes are most common in three contexts: deferred revenue classification (whether customer prepayments are debt or working capital), capitalized software treatment (whether development costs are current or long-term assets), and the treatment of accrued liabilities for employee bonuses and commissions. SaaS companies are particularly vulnerable because their business models create large deferred revenue balances and prepaid customer contracts that are classified differently depending on the agreed accounting principles.
The Save Mart case involved a supermarket chain and a wholesale grocery distributor — not a software company or an AI startup. But the definitional failure it illustrates maps directly onto recurring patterns in technology acquisitions. In technology M&A, the analogues to SSI-style off-balance-sheet obligations include: variable interest entities or unconsolidated joint ventures in dual-entity structures common in AI and semiconductor companies with offshore IP or development operations; deferred revenue that different acquirers treat differently — some buyers construct closing statements that push deferred revenue into indebtedness-equivalent items, arguing that the obligation to deliver future services is a liability that reduces working capital; software escrow and maintenance obligations that are not reflected on the balance sheet at GAAP carrying value; contingent tax liabilities in cross-border structures, particularly in India-flip or Irish IP holding company arrangements where pre-reorganization tax exposures may exist; and earn-in or milestone obligations to third parties in joint development agreements. In each case, the risk profile is identical to Save Mart: an obligation that does not appear on the seller's balance sheet in the way the buyer's indebtedness definition will capture it, and a definition that is broad enough — particularly under clause (xi)-style language covering all obligations "for which the company is responsible or liable, directly or indirectly, as obligor, guarantor or surety" — to sweep in the obligation. The save is the same as it would have been in Save Mart: an express exclusion in the indebtedness definition, confirmed before signing and confirmed again if the deal is restructured.
Sellers should require their counsel to prepare a detailed illustrative calculation showing exactly how the adjustment would be computed based on a recent balance sheet, attach that calculation as an exhibit to the agreement, negotiate GAAP-consistency provisions with specific carve-outs for identified items that should be treated differently, and define the resolution process with specificity sufficient to minimize arbitrator discretion on definitional questions.
The specific practices that would have prevented the Save Mart outcome are identifiable and not complicated in isolation — they are complicated only in the pressure and pace of a closing process where the business parties are focused on headline price and the lawyers are managing a hundred simultaneous deliverables. First: every obligation that does not appear on the seller's balance sheet — or that appears only at net equity value rather than gross — should be affirmatively addressed in the indebtedness definition, either as an express exclusion or as a negotiated inclusion with a corresponding credit. The definitions section of an acquisition agreement routinely contains a list of carve-outs from the definition of indebtedness; a known unconsolidated subsidiary's debt belongs on that list. Second: when a deal is amended mid-stream to restructure any economic element — a pre-close carve-out, a spin-off, a change in deal structure — the amendment review must trace every defined term that references the amended element and confirm that each definition either survives correctly or has been updated. The Save Mart amendment updated the formula but left the definitions intact. That is not a subtle drafting failure — it is a failure to complete the amendment. Third: consider negotiating a cap on the post-closing adjustment equal to the escrow or holdback amount. This is a standard provision in deals involving a PE-backed seller and is increasingly used in founder-led technology transactions where sellers are unwilling to accept open-ended adjustment exposure on top of earnout risk. A cap would not have prevented the $109 million deduction from being asserted — it would have limited the payment obligation to an amount the sellers had already reserved for adjustment purposes. See the companion pieces on working capital adjustments in technology acquisitions and M&A deal structure (stock sale, asset sale, and merger) for the broader mechanics context.
Gurpreet S. Bal is a Partner at Foley and Lardner LLP in Silicon Valley, where he advises startups, founders, and investors on SAFE financings, venture capital rounds, mergers and acquisitions, acquihires, and IPOs. He has represented clients in hundreds of transactions with aggregate deal value exceeding $60 billion across AI, semiconductors, fintech, and emerging technology.