Data sourced from Dakota Private Markets, the private fund performance platform powered by Dakota. Learn More | Request Access
If your team is trying to benchmark an evergreen fund right now, you already know how hard it is.
You can pull a peer's marketing materials, but they're not comparable. You can ask the manager for a peer set, but the manager picks the comparison. You can search regulatory filings, but the data is scattered, formatted differently across managers, and missing the 100 or so vehicles that operate as evergreen funds without being classified that way in their filings.
Every team is in this position.
And it's getting harder, not easier, because evergreen vehicles, open-end fund structures that accept capital continuously and offer periodic liquidity, have moved from a niche format to one of the fastest-growing distribution channels in private markets.
Three forces are pushing the urgency, and Dakota Private Markets built the evergreen dataset to address all three.
The Three Forces Driving Demand for Evergreen Fund Benchmarks
1. Wealth Channel Demand
RIAs, family offices, and wealth platforms are increasingly allocating client portfolios to private equity, private credit, real estate, and infrastructure, and they need liquidity structures that match client cash flow needs.
Evergreen vehicles are the answer.
As wealth channel allocations grow, so does evergreen AUM, and so does the obligation on advisors to compare these vehicles against true peer sets, not against manager-supplied marketing materials. Without standardized data, that obligation is impossible to meet.
2. GP Expansion
If you're building an evergreen product, you're launching into a peer set that has scaled fast. Every major private markets manager has either launched or is building one.
Without visibility into how peers are structuring vehicles, pricing fees, calibrating liquidity terms, or pacing capital formation, you're working blind in the most contested distribution segment in private markets.
3. LP Due Diligence
Allocators are no longer accepting manager-provided materials as the only data point in evergreen due diligence. Independent, standardized benchmarking has moved from aspiration to working requirement.
For LPs, that means evergreen evaluation now requires a peer universe you've built independently. For GPs, it means knowing where your vehicle sits in that distribution before the meeting, not after.
Stop Benchmarking Evergreen Funds Blind
Dakota Private Markets tracks 300+ evergreen and interval vehicles and 600+ performance records, with the strategy mix weighted where the launches have actually been: 128 private credit funds, 47 hedge fund and liquid alternative vehicles, 45 private real estate, 45 private equity, 7 venture capital, and 42 across other strategies.
Every fund was sourced from public regulatory filings, manually reviewed, classified, and standardized for peer comparison, applying the same curation standard used across all seven asset classes on the platform. There was no shortcut to building it, and there isn't one to maintaining it. The dataset updates daily as new filings are published and new vehicles enter the market.
What you get for every fund:
- Standardized performance metrics: NAV history, return data, and performance metrics normalized to a consistent format, comparable across every fund regardless of how each manager originally reported.
- Fund structure details: open-end structure classification, liquidity terms, minimum investment, fee profile, and share class details.
- Sponsor-level rollups: total evergreen AUM, strategy breadth, vehicle count, and market share by manager.
- Strategy classification: every fund classified by strategy, sub-strategy, and vehicle type for peer group construction.
- Capital formation trends: fundraising activity, AUM growth trajectories, and new entrant tracking.
- Regulatory filing history: the source documentation behind every data point, retained for verification and historical trend analysis.
For LPs and allocators, the practical use is benchmarking what you own against what the full market is delivering. For GPs and fund managers, it is seeing where your vehicle sits in the competitive set, including peers your LPs have not mentioned in meetings.
One structural detail matters more than any other when you build the comparison. Evergreen vehicles are not measured by IRR at fund close, because there is no close. Dakota Private Markets captures them the way they actually perform: YTD, one, three, five, and ten year annualized returns, and since inception, alongside liquidity terms, structure details, and launch dates. That is the format an evergreen peer set has to be built in, and it is the reason a closed-end benchmark cannot be borrowed for the job.
Evergreen vehicles have crossed the threshold from emerging format to core private markets distribution channel. Wealth managers, RIAs, consultants, allocators, and sponsor product teams are all now benchmarking semi-liquid alternatives as routine work. The teams that build benchmark-grade visibility into their workflows now will work with a clearer view of the market than competitors still relying on anecdote and manager-supplied materials.
To see the evergreen dataset, book a demo of Dakota Private Markets!
