KKR outlines 2027 management-fee growth drivers through flagships, fundraising and deployment

KKR: biggest drivers of management-fee growth into 2027 and how to model the multi-year trajectory (with 2026 comps)

1) What management-fee growth is “built on” (KKR’s management-fee algorithm)

KKR frames its management-fee outlook around (a) larger management-fee-bearing flagships reaching/maintaining run-rate, (b) fundraising creating future fee-earning capital, and (c) deployment schedules that turn non-fee-earning committed capital into fee-bearing AUM over time. Management also highlights that momentum is supported by record fundraising and a record level of committed capital not yet bearing fees, which they describe as a “great forward indicator” for future management fees.¹²³

They also quantify the “pipeline” concept directly in the credit/liquid strategy context: committed capital not yet earning fees is up 33% year-over-year, which management calls “probably the best forward indicator” for where fees are going.⁴

2) Biggest drivers into 2027 (the specific items management emphasized)

A) 2026’s strong run-rate from larger flagship products rolling into steady-state

Management explicitly points to “very strong 2026” that is driven by “a number of larger flagships… hitting the run rate,” and it sets that as the near-term foundation for the trajectory into 2027.¹

Implication for modeling: even if 2026 is “tough” on growth rates versus 2025, the question is whether the rolled-through AUM remains deployed long enough to sustain fee growth in 2027 rather than merely spike in 2026.

B) Record fundraising that converts into future fee-earning capital

KKR cites record fundraising numbers over the past 12 months as a key driver of future capital raising and, therefore, management-fee growth.² They also quantify fundraising scale: $305 billion of capital raised from the beginning of 2024 through June 30, including $34 billion in Q2, and $133 billion over the LTM.⁵⁶

They further connect fundraising to capital dynamics that directly matter for management fees: “committed capital that is not yet bearing fees is at a record level,” which should translate into future fee earnings as it enters investment periods/orders deployed.²³

C) The size of “committed but not yet earning fees” (time-lagged fee conversion)

This is one of the clearest multi-year mechanics in the excerpts:

• In Asset Management, KKR reports a record $72 billion of capital not yet earning fees, up almost 30% versus the prior year, with a weighted average management fee of about 90 basis points that “turns on” when invested/enters its investment period.³
• In credit/liquid strategies, the capital committed but not yet earning fees is up 33% year-over-year, and management says that’s a top forward indicator.⁴

Implication for modeling: For 2027, management fees should be less about “what fees were in 2026” and more about the forward pool of committed capital (and its deployment timing) that will become fee-bearing during 2027.

D) Deployment and fee-bearing AUM growth (not just fundraising)

KKR connects management-fee growth to both fundraising and continued healthy deployment.⁶ In credit/liquid strategies specifically, management notes a sequential decline in management fees in the quarter and ties it to AUM growth/fee dynamics (the excerpt asks for unpacking; the key quantitative forward indicator provided is committed-but-not-earning capital up 33%).⁷⁴

Implication for modeling: In a multi-year model, you typically need both:

• Committed capital growth (creates the future “fee capacity”), and
• Deployment schedule (controls the timing of when fees show up).

E) Platform breadth (diversified fee engines reduce single-line risk)

Management highlights fee diversity: roughly one-third of management fees from each of 3 business lines.² This matters for 2027 because it reduces the risk that one strategy’s comp cycle dominates the firm’s total fee growth (though individual segments can still have uneven timing).

F) “Momentum” tailwinds from 12–18 months product activity

Management cites “30-plus products over the next 12 to 18 months” and also notes that in KKR Solutions they are “just getting going,” seeing “lots of opportunity.”²

Implication for modeling: If you’re modeling through 2027, the product pipeline timeframe suggests you should not assume fee growth flatlines after 2026; rather, it likely continues to be supported by new launches and cross-platform scaling.

3) How investors should model the multi-year management-fee trajectory with “challenging 2026 comps”

Management directly acknowledges the premise: the question asks about management fee growth into 2027 given tough comps from 2026.¹ While the excerpts do not provide a formal 2027 fee guide, they do offer the modeling building blocks.

A) Use a “fee conversion” approach anchored on committed-but-not-earning fees

Given KKR’s own emphasis that the committed-but-not-earning pool is a forward indicator, the most defensible modeling method is:

1. Start with the forward committed pool (e.g., $72B not yet earning fees in Asset Management, up ~30% YoY).³
2. Apply a conversion schedule (how much enters investment period/orders deployed each year), because fees “turn on” when deployment occurs.³
3. Add the incremental effect from credit/liquid committed-not-earning capital up 33% YoY as a segment-specific overlay.⁴

This directly addresses “challenging 2026 comps” because it reduces overreliance on year-over-year percentage comparisons and instead focuses on what capital is in the pipeline and when it becomes fee-bearing.

B) Treat 2026 outperformance as a run-rate base, not a one-quarter spike

Management’s view is that 2026 strength is partly due to flagships hitting run-rate.¹ That suggests that for modeling:

• 2026’s high fee growth should establish a higher starting level going into 2027, but
• 2027 growth rates may moderate if run-rate has already “caught up,” even while absolute fees keep growing (i.e., comps can be challenging while the business still grows).

C) Model segmentation: don’t assume linearity across strategies/quarters

They note quarter-to-quarter movements (e.g., a sequential decline in credit/liquid management fees in the quarter) and imply timing effects matter.⁷ So in a multi-year model:

• Use annualized conversion assumptions rather than quarter-to-quarter linear extrapolation, and
• Allow for segment timing differences (especially in credit/liquid deployment and fee start dates).

D) Use “pipeline visibility” as the anchor for 2027 rather than extrapolating 2026 YoY%

Management provides multiple visibility inputs—record fundraising, record committed-not-yet-bearing fees, and product momentum over the next 12–18 months.²³⁵ These are the variables that should drive the 2027 trajectory more reliably than simply extending 2026 YoY growth percentages.

A practical (though simplified) way to express the logic:

• If committed-not-earning capital continues rising (Asset Management $72B up ~30%, credit committed-not-earning up 33%), then fee capacity for 2027 should remain supported even if 2026 growth rates were high.³⁴
• The main uncertainty becomes deployment pace (how much turns on in 2027 vs 2028+), not whether there is “fee capacity” at all.³

4) The most relevant quantitative anchors from the excerpts

• Q2 management fees: $1.2 billion, up 26% YoY; excluding catch-up fees, fee growth was 18%.⁶
• LTM fundraising: $133 billion raised over the LTM; $34B in Q2 and $305B raised since start of 2024 through June 30.⁶⁵
• Asset Management committed-not-yet-earning fees: $72B, up almost 30%, with ~90 bps weighted average management fee that turns on when invested/enters investment period.³
• Credit/liquid committed-not-yet-earning fees: up 33% YoY, described as the “best forward indicator” for management fees.⁴

5) Bottom line

Biggest drivers into 2027 are (1) 2026 flagships rolling into run-rate, (2) record fundraising feeding a rising committed-not-yet-fee-earning capital base, and (3) deployment timing that turns that committed pool into fee-bearing AUM, with segmentation and quarter-to-quarter timing effects likely still present (especially in credit/liquid strategies).¹²⁴³⁶

Modeling approach for investors facing tough 2026 comps: don’t extrapolate solely off 2026 YoY growth rates. Instead, model absolute management-fee growth via a fee-conversion pipeline that uses KKR’s stated forward indicators (record committed-not-yet-earning capital and its growth) and applies deployment/fee start assumptions into 2027.³⁴