Cash visibility in 2026: why most CFOs are still flying blind
Global treasury functions have access to more data than ever, yet a surprising number of CFOs still lack real-time visibility into their own cash positions. Here is what separates the organizations that have solved this problem from those still patching it together with spreadsheets.
Turing LedgerFinance & Strategy AnalystJuly 21, 2026Listen to the podcast
4 min
A mid-sized European manufacturer discovered it was sitting on €47 million in idle cash across 23 subsidiaries, while simultaneously drawing on a revolving credit facility at 6.2% interest. The treasurer knew, roughly, where the money was. But "roughly" was the operative word. Consolidating balances took three days, by which point the picture had already changed. This is not an unusual situation. It is, in 2026, still the default for a significant portion of companies outside the Fortune 500.
The irony is that the tools to fix this have existed for years. The gap is not technological. It is organizational, political, and sometimes simply a matter of priorities that treasury never quite won.
The state of corporate cash management in 2026
The post-pandemic period accelerated two things simultaneously: the complexity of cash flows and the availability of platforms designed to manage them. Companies expanded into new geographies, added banking relationships, and layered on payment providers. Meanwhile, treasury management system (TMS) vendors, bank connectivity platforms, and APIAPIApplication Programming Interface: a standardised interface that lets applications communicate and exchange data without knowing each other's internal workings.View full definition →-native fintechs all promised to collapse that complexity into a single dashboard.
What actually happened is more mixed. According to the Association of Financial Professionals (AFP), a significant share of treasury teams at mid-market companies still rely on manual bank statement downloads and Excel consolidations for their daily cash positioningpositioningThe mental space you want your brand to occupy in your target customer's mind relative to alternatives.View full definition →. At larger organizations, many have implemented a TMS, but the data feeding into it is often incomplete, delayed, or inconsistently formatted across banking partners.
The bank connectivity problem deserves specific attention. SWIFT gpi has improved cross-border payment tracking meaningfully since its broader rollout, but domestic cash pooling structures, particularly in markets like India, China, and parts of Latin America, remain genuinely difficult to consolidate in real time. Local regulatory restrictions on notional pooling compound this. A CFO overseeing a multinational with operations in 15 countries is not dealing with one cash management problem. They are dealing with 15 partially overlapping ones.
On the technology side, vendors including Kyriba, GTreasury, and ION Treasury have pushed further into AI-assisted cash forecasting, using machine learning to weight historical patterns against live receivables and payables data. The results, where implemented properly, are materially better than static rolling forecasts. But implementation quality varies widely, and the business case often stalls at the integration stage, specifically at connecting ERP data cleanly to the TMS without a sustained IT investment.
What this means for the CFO
The strategic implication is straightforward even if the execution is not:cash visibility is now a competitive variable, not just a treasury hygiene issue. In a higher-for-longer rate environment, the cost of idle cash sitting in low-yield accounts, or worse, of unnecessary borrowing running in parallel, is quantifiable and material. For a company with $500 million in annual revenue, a 48-hour improvement in cash visibility can translate directly into seven-figure working capitalworking capitalWorking capital is the difference between a company's current assets and current liabilities, measuring short-term liquidity and the funds available to run daily operations.View full definition → optimization.
CFOs need to push past the "we have a TMS" answer when assessing their actual visibility. The relevant questions are more granular: how long does it take to produce a consolidated group cash position? What percentage of bank accounts feed automatically versus manually? How accurate were last quarter's 30-day cash forecasts, measured against actuals?
That last question is rarely asked with any rigor. Forecast accuracy tracking is one of the cleaner leading indicators of treasury maturity, and most teams do not maintain a formal scorecard. Building one, even a simple one, changes the conversation quickly. It surfaces which cash flow categories are genuinely unpredictable versus which ones just have not been modeled properly.
There is also a banking relationship dimension that CFOs often underweight. The number of banking partners a company maintains has a direct effect on visibility complexity. Consolidating banking relationships is politically difficult, particularly in markets where a local bank relationship carries commercial or regulatory significance. But even a partial rationalization, reducing from 18 banks to 12 with a clear primary/secondary structure, can substantially simplify the connectivity architecture.
On the forecasting side, the shift toward rolling 13-week cash flow forecasting, rather than monthly treasury reporting bolted onto the FP&A cycle, is worth examining for organizations that have not made it yet. The 13-week format forces a more granular look at the near-term cash conversion cycle and tends to surface timing mismatches between payables and receivables that monthly reporting smooths over.
Concrete steps worth prioritizing
- MapMapUsing software to automate repetitive marketing tasks and campaigns, enabling personalisation at scale across channels like email, web, and social.View full definition → every bank account in the group, including dormant ones, and tag each with its current connectivity method: API, SWIFT, manual. The results of this exercise are almost always surprising.
- Define a cash visibility SLA: what is the maximum acceptable lag between a transaction and its appearance in the consolidated position? Naming a number forces the organizational conversation about what infrastructure is actually needed.
- Run a forecast accuracy retrospective covering the past four quarters. Segment by cash flow category (collections, payroll, capexcapexCapital Expenditure (CapEx) is money spent to acquire, upgrade, or extend long-lived assets like equipment, property, or software that deliver value over multiple years.View full definition →, debt service) and find where the model breaks down. That is where to focus forecasting investment, not on the platform.
- If you are evaluating a TMS upgrade or new implementation, pressure-test the vendor's bank connectivity list against your actual banking footprint before anything else. A system that connects to 500 banks globally is irrelevant if three of your six core banks require custom integration work.
- Treat intercompany cash flows as a first-class forecasting input. At many multinationals, intercompany settlements are the single largest daily cash movement, and they are often the least systematically tracked.
The organization that solves cash visibility is not necessarily the one with the most sophisticated technology. It is usually the one where the CFO has made it an explicit priority, assigned clear ownership, and held treasury to a measurable standard. Those three things, in combination, tend to move faster than any platform implementation.
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