Summary
As private credit moves into wealth and retirement channels, daily valuation will only be as credible as the loan-level data beneath it. Producing a defensible daily value across direct lending and asset-based finance is a data-foundation capability, and it will determine how far the asset class can take daily pricing.
Investors’ desire to see daily valuations for private credit instruments is raising the bar for how nimble managers need to be with their data. Apollo’s initiative to put a daily price on its entire credit book — more than $830 billion across investment-grade, direct lending, and asset-based finance — by September 30, 2026, is prompting Apollo’s peers to weigh whether to follow.i
The announcement is great PR. But the operational question matters more. Daily pricing in private credit won’t look like daily pricing in public markets. A daily cadence forces the manager to monitor credits continuously, tie its data sources together more tightly, and explain and defend a valuation in near-real time. Without a liquid market setting the price, these are estimated daily values derived from comparable public-market trades, credit spread movements, and general market conditions.
For a manager, that cadence of information flow matters more than the precision of any single mark. Sustaining it starts with the loan-level data behind it, not the pricing model on top.
“Daily” in private credit has typically meant an interval fund striking a daily NAV on top of loan-level marks that refresh only monthly or quarterly. Because they are registered under the ’40 Act, these funds calculate a NAV every day even though investors can redeem only on a periodic schedule.
The mechanical framework for daily valuation already exists in this structure, but it isn’t always as daily as it seems because it’s not fresh at the granular loan level. In practice, many private credit interval funds carry forward quarterly or monthly marks on the underlying positions and reprice around them for known market-level moves like rate changes and broad spread movements. They only see a true refresh, monthly or quarterly, via a formal valuation committee. Even though the fund’s NAV changes every day, the position-level valuations become stale.
Apollo’s announcement is setting a higher bar by refreshing an estimated value at the position level every day, on observed trades, comparable public valuations, and market trend data. The firm is doing so across every wrapper, whether the position sits in a BDC, an interval fund, or a separately managed account. Doing so substantively goes beyond the somewhat fictional concept of daily NAV with interval funds.
The difference between a credible and a performative daily mark comes down to the data pipeline. If the loan-level data are incomplete or slow to arrive, the daily estimated value is a stale quarterly mark with a fresh timestamp.
The pipeline challenge comes from the multiplicity of data points and sources that span a full private credit portfolio. A book that includes thousands of positions spanning investment-grade credit, bespoke direct lending, and ABF instruments with diverse collateral means contending with enormous data diversity.
The impact of these variations shows up in the data pipeline. Publicly traded credit such as investment-grade corporate bonds offers an observable price that you can take from published market data. Private credit removes that shortcut. You have to build the mark yourself because there is no clean price to lift. In addition, every asset type has its own sources, cadence, format, and model.
Across all of the potential permutations, you need a pipeline that can pull loan- and asset-level data from borrowers, servicers, and third parties. Then it has to reconcile formats that don’t match and models that differ by asset type. Finally, it needs to output one number packaged differently for investors, regulators, and risk teams, so that every stakeholder can use it as needed. This pressure holds even on a day when a servicer file arrives late or a spread moves sharply. Those exceptions don’t relieve you of the commitment to establish a mark on schedule.
Most firms already hold the valuation expertise, but the data feeding those models are inconsistent, delayed, or unstructured. Limited fund- and loan-level data and valuation opacity are problems for the whole sector. A Financial Stability Board (FSB) report on private credit in May 2026 flagged limited fund- and loan-level data as a source of vulnerability for the sector.ii
The largest managers, with deep technology budgets and scaled portfolios, are best positioned to build toward fresh and granular marks. Not all of them will move at the same pace. Firms already under redemption pressure have the clearest reason to move first, because more frequent pricing helps restore investor confidence in their marks.
Managers without that scale or those pipelines typically don’t have access to loan-level data structured for an automated daily refresh. The open question we’re seeing from such managers today is where they would get that data and how they would build the foundation to automate their pipeline and use it for consistent, credible, daily marks. It takes an always-on process purpose-built for private credit. The choice is between building it and acquiring it.
Regardless of manager size, some of the urgency is coming from the wealth management channel. New segments of investors want to access private credit. Retail investors have expectations shaped by their experience with public markets and semi-liquid products. The wealth platforms distributing those products also ask for data on the same schedule.
However, more frequent pricing can also reveal volatility that a quarterly cadence hid. Investors who see marks move in real time can make more informed decisions than investors who discover a problem three months after it happened. But retail investors may carry their habits over from familiar liquid markets to less familiar illiquid markets. Watching a fund’s NAV drop 50 basis points on a Tuesday could easily prompt them to reach for the redemption button. That impulse could become destabilizing. For a different reason, institutional investors also need daily marks.
Investors trust a manager’s marks partly because an independent agent signs off on them. However, delivering a daily mark unsettles that, because the only way to produce it is from within a manager’s operations and data.
To refresh position-level estimates across thousands of holdings, you need real-time access to your own trade data, borrower financials, servicer tapes, co-lender marks, and monitoring systems. Those are the tools you use to assemble a package for an independent agent on a quarterly cycle that can take days to weeks to complete. That cadence means that independent validation can’t support your daily mark the way it works today.
The everyday number now comes from inside your data flow, and the independent check moves to the edge. Agents move from setting the quarterly price to validating and calibrating your daily process on a regular cycle. The same data foundation feeds both sides, your mark and the agent’s check, instead of one replacing the other.
Between those checks, investors, boards, and regulators trust a manager’s data foundation itself. Standing behind a daily number now means showing its data lineage and the controls behind it, more than producing a number more often.
If a manager produces daily values, but the independent check comes quarterly, investors spend most of the year trusting marks set by the party with the most direct economic interest in them. Daily independent oversight is now possible, but whether managers will build it into their process and bear the cost is still an open question.
Managers who build this data foundation will decide how far daily valuation can go in private credit. They will set the standard that the market comes to expect before the wealth channel and the regulator ask for it. Build the foundation now, and you can price, explain, and defend a mark every day, across every wrapper and asset type. That will be a major edge as retail and retirement capital keeps flowing into the asset class.
Cesar Estrada
Cesar oversees Arcesium's investment operations, accounting, and data management solutions for private markets fund managers and institutional investors.
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