# The Reporting Tax: What Private Markets Teams Really Pay > Quarterly reporting is a manual tax on senior time at private markets firms. Where the hours go, what they cost, and what to do about it. - Published: Oct 9, 2026 - Topic: Fund Operations - Source: https://aquata.ai/articles/why-private-markets-teams-spend-hours-on-reports --- You know the scene. It is two weeks before quarter-end, and your operations lead is already dreading the inbox. Capital account statements are trickling in from [three different administrators](/industry-fund-admins), each in its own format. A handful of portfolio companies have sent their financials as PDFs, others as password-protected spreadsheets, and one has not sent anything yet despite two follow-up emails. Somewhere in a shared drive, last quarter's reporting workbook is being copied, renamed, and painstakingly updated by hand. If you run or work inside a private markets firm with less than $10 billion in AUM, this is probably not a hypothetical. It’s your calendar. Hours spent chasing, cleaning, and consolidating data into reports are not a fringe annoyance. They’re a recurring tax on your team's time, and that tax is paid by the people who can least afford to pay it: senior practitioners who should be focused on deals, portfolio companies, and investor relationships. This article is about that tax. Where it comes from, why it has gotten worse, and what it is really costing [mid-market private markets firms](/segment-private-markets). ## The Reporting Tax, Defined The reporting tax is the cumulative hours of manual labor required to pull together reports each quarter. It’s the time your team spends not analyzing or deciding but assembling. That is: chasing files, reconciling, re-keying from PDF to a spreadsheet, formatting a deck so it matches the template an LP requested, and re-running a calculation because you found a typo three days before the report’s due. For a mid-market private markets firm, this tax is disproportionately heavy. Larger firms absorb it by throwing headcount at it, building dedicated reporting teams, or investing in enterprise infrastructure. Smaller firms don’t have that luxury. The same four or five people running deals and managing investor relationships are the ones pulling the report together. There’s no separate reporting function to absorb the work. The result is a cycle that repeats every quarter, eats the same hours every time, and rarely gets meaningfully faster. The work is not strategic, but it is unavoidable, because LPs, auditors, and regulators are not going to stop asking for reports. ## Why Reporting Eats So Many Hours The reporting tax is not a discipline problem. It’s a data problem. Specifically, it is a fragmentation problem. Hours pile up because the data your reports depend on is scattered across systems, formats, and counterparties, and someone has to manually bridge all of those gaps before a single number can be trusted. ### Data lives everywhere and nowhere Private markets data does not arrive in a clean, structured feed. It arrives patchwork. Fund administrators send capital account statements. Portfolio companies send financials on their own timelines and in their own templates. Custodians, banks, and market data vendors each contribute their piece. A surprising amount of the most important context still lives in inboxes and shared drives, not in a system of record. Research on the sector backs this up. Deloitte notes that many private equity firms cannot reliably collect and integrate trusted data from their portfolio companies and third parties because of limited infrastructure and data management challenges, and that manual data collection and review processes are not scalable[1](#source-1). The friction of operating across disconnected systems shows up in the time spent re-entering data, reconciling figures, searching for the latest version of a document, and rebuilding context that lived in one tool but is needed in another. ### The format problem Even when the data does arrive, it is rarely usable as-is. The Financial Times reported that "Excel spreadsheets, email and PDFs are still the most-used tools in private markets," according to Oliver Albers of Nasdaq's Capital Access Platforms division, and that "that really hasn't changed in 10 years"[2](#source-2). The FT noted that many operational processes across private markets remain stubbornly manual, with subscription documents, onboarding procedures, and post-trade workflows that can still take weeks to complete. This is the core of the format problem. When your inputs are [unstructured PDFs](/feature-unstructured-data) and bespoke spreadsheets, every report starts with a manual normalization step. Someone has to read the document, find the right figures, type them into the right cells, and check that they match what was reported last quarter. That work doesn’t scale. The number of documents, the number of portfolio companies, and the number of LPs, each adds another set of files to chase and reconcile. ### The chase-clean-consolidate loop The reporting tax is really a loop, and it runs every quarter: - **Chase.** Send reminders. Follow up with portfolio companies that have not submitted. Track down the right version of a statement from an administrator. - **Clean.** Normalize the formats. Re-key figures. Resolve discrepancies between what the administrator reported and what your internal model shows. - **Consolidate.** Pull it all into one workbook or deck. Calculate fund-level metrics like IRR, TVPI, and DPI. Add narrative commentary. Format to each LP's specifications. - **Review.** Cycle drafts through finance, legal, and compliance. Fix the errors that surface. Re-issue. Each step is manual, and each step is where hours disappear. Acquis Consulting, an industry consultancy, describes the traditional private equity reporting cycle as an operational burden for general partners, noting that "weeks spent collecting data, manually consolidating spreadsheets, and cycling through iterative reviews delay critical decision-making, frustrate LPs, and divert one of the most valuable assets a PE firm has: human capital"[3](#source-3). They observe that most PE firms rely on a patchwork of systems that do not communicate effectively, leaving back-office and offshore teams spending significant time on data collection, standardization, and fund-level reconciliation to compile LP-ready formats. The loop is not just slow; it’s fragile. A single mismatched figure between a [fund administrator's NAV statement](/use-case-nav-oversight) and a GP's internal model can trigger days of back-and-forth before the discrepancy is resolved and drafts can move forward. **Fund Admin Data Without the Quarterly Fire Drill** See how leaner teams validate administrator statements as they land, so a NAV mismatch is caught before drafts start circulating. ## What Those Hours Actually Cost The reporting tax is easy to dismiss as an operational nuisance. It’s harder to dismiss once you account for what those hours actually cost, because the cost is not just time. It’s opportunity, accuracy, and scale. ### The opportunity cost Every hour spent assembling a report is an hour not spent on the work that actually drives returns. For a mid-market firm, that tradeoff is sharp. The senior finance and operations people buried in the reporting cycle are the same people who should be supporting deal execution, working with portfolio companies on value creation, and nurturing LP relationships during fundraising. The Financial Times reports that many operational processes across private markets remain stubbornly manual, with subscription documents, onboarding procedures, and post-trade workflows that can still take weeks to complete[2](#source-2). When portfolio data lives in one tool, financial performance in another, and qualitative commentary in email threads, the assembly process is manual, error-prone, and unrepeatable. For many firms, the reporting cycle consumes a significant portion of the quarter. The Financial Times notes that operational processes across private markets can still take weeks to complete[2](#source-2). When that much of your senior team's capacity goes to assembly, it is not a rounding error. It is a structural drag on the firm's most expensive and valuable people. ### The accuracy cost Manual assembly is also where errors creep in. Every re-keyed figure is a chance to transpose a number, drop a decimal, or paste into the wrong cell. And because the process is manual and undocumented, those errors are hard to catch before the report goes out the door. Capital account figures are the basis for LP tax documents and audit workpapers. A formatting error in an LP-specific IRR calculation can produce incorrect statements for multiple LPs, and correcting and re-distributing them can consume additional days and trigger an LP advisory committee inquiry about reporting controls. The error is rarely a competence problem; it’s a manual process problem. ### The scaling cost Here is where the reporting tax gets dangerous. The tax does not stay flat as you grow. Rather, it compounds. Every new fund, every new vintage, and every new portfolio company adds another set of files to chase, another set of formats to normalize, and another set of LPs to report to. The instinct at smaller firms is to absorb that growth with the same team, working longer hours each quarter. But that model has a ceiling. Deloitte's Private Equity Operations Review identifies process fragmentation as one of the top three scaling risks for mid-market managers[4](#source-4). The same research notes that operational headcount tends to scale at roughly 0.6 to 0.8 full-time equivalents per additional vehicle, and that audit-related internal hours have increased approximately 25 to 35% over five years, driven not just by fund count but by fragmented logic that cannot be quickly verified or defended. In other words, the reporting tax is not just expensive today. It is a preview of the cost structure you will be stuck with as you scale, unless you change the underlying model. The choice for a growing mid-market firm is stark: keep adding headcount to manage data, or find a way to stop chasing it in the first place. > The error is rarely a competence problem; it’s a manual process problem. ## Why This Hits Mid-Market Firms Hardest There is a reason the reporting tax lands hardest on firms with less than $10 billion AUM. It’s not that larger firms do not face the same data fragmentation, but they have the scale to build around it. Dedicated data teams, enterprise infrastructure, and budget absorb integration costs. Mid-market firms sit in a difficult middle. The volume of data and reporting obligations has grown to the point where spreadsheets and manual processes clearly cannot keep up, but the firm is not large enough to justify the overhead of an enterprise-scale buildout. The industry context makes this squeeze tighter. Preqin projects that global alternatives AUM will reach $32 trillion by 2030, spanning private equity, private credit, infrastructure, real estate, hedge funds, and natural resources[5](#source-5). Preqin's research highlights that this growth is structural, not just cyclical, and that it is driving investor demand for transparency, standardized data, and whole-portfolio solutions. More assets mean more files, more exceptions, more LPs to report to, and more pressure on the same mid-market operating model. Previously, a small team, a few funds, and a reporting cycle you could grind through with spreadsheets and late nights was manageable. As the AUM of global alternatives has grown, this is no longer the case. Portfolios are larger and more complex, LPs expect faster and more transparent reporting, and the volume of documents moving through a typical operation has grown faster than the teams managing them. The manual model was adaptive to a previous era. It is becoming a liability in this one. ## The Deeper Pattern: A Job That Outgrew Its Tools Stepping back, the reporting tax is a symptom of a deeper pattern. The job to be done has changed, but the tools have not. The job is no longer just "produce a quarterly report." It is "give LPs, the investment committee, and regulators a timely, accurate, defensible view of the portfolio, across an expanding set of funds and asset classes, on a faster cadence than ever." That is a fundamentally different job than the one spreadsheets and email were built to do. Spreadsheets are excellent for modeling and ad-hoc analysis. They are poor systems of record. They cannot enforce process, maintain audit trails, or prevent the data drift that occurs when the same figure lives in five different workbooks. When the tools do not fit the job, the gap gets filled by human labor. That is the reporting tax in one sentence. The data is fragmented because the systems are fragmented, and the labor is manual because there is no [shared, trusted layer](/use-case-central-data-layer) that connects the data to the people who need to act on it. Firms can staff around the problem for a while, but labor masks the design flaw. It creates key-person risk, uneven controls, and slow closes, and it weakens any analytics built on top of hand-mapped fields, because those analytics inherit the same inconsistency that slowed operations in the first place. This is the pattern that makes the reporting tax so persistent. It is not a one-time project to clean up your data. It is a structural mismatch between the job and the tools, and it reasserts itself every single quarter. **One Source of Truth: Redefining the LP-GP Experience** ## When You Are Ready to Stop Paying the Tax For a mid-market private markets firm, the path out of the reporting tax is not to build a bigger reporting team or to grind harder each quarter. It is to change the model: to transform fragmented data into action, so that your team stops chasing data and starts putting it to work. That is the gap Aquata is built to close. Aquata consolidates fragmented investment data into a single, trusted source, so your team spends time on deals and investor relationships instead of data wrangling. Aquata can eliminate the reporting tax, so you can scale more sustainably. While you consider Aquata, there are practical ways to make the reporting tax less painful with tools you already have. These are makeshift solutions that still require work, but they can offer relief from the pains you experience in the short term. For how you can implement some of these stopgaps, read the next article in this series: [7 Makeshift Fixes for the Private Markets Reporting Tax (No Vendor Required)](/articles/makeshift-fixes-private-markets-reporting-tax). ## Sources - Data-driven strategies: The winning edge in private equity, Deloitte: https://www.deloitte.com/global/en/industries/financial-services/perspectives/data-driven-strategies-winning-edge-private-equity.html - Are private markets ready for the data age?, Financial Times: https://www.ft.com/content/0352fb0f-66dd-4ff2-920b-861686f16576 - AI-Powered Portfolio Reporting in Private Equity, Acquis Consulting: https://www.acquisconsulting.com/our-thinking/how-ai-powered-portfolio-reporting-is-reshaping-private-equity-human-capital-equation/ - Rethinking alternative investment operations, Deloitte: https://www.deloitte.com/lu/en/Industries/investment-management/blogs/rethinking-alternative-investment-operations.html - Preqin Releases Private Markets in 2030 Report, Preqin: https://www.preqin.com/about/press-release/preqin-releases-private-markets-in-2030-report