Bespoke Excel models for fund establishment, investment appraisal, portfolio monitoring and reporting – built around the way private capital teams actually make decisions.
FAB Analytics builds custom Excel-based fund and portfolio models for private credit funds, real estate private equity funds, private equity investors, development finance institutions (DFIs) and family offices. Our delivery experience covers new fund establishment models for private credit and real estate private equity funds; fund reporting models for private credit funds; portfolio reporting models for private equity funds investing in real estate and corporates, including SMEs, as well as DFIs; and investment appraisal models for private equity funds and family offices.
Each engagement is designed around the relevant fund terms, investment strategy, asset or loan cash flows, reporting requirements. Where the requirement extends beyond a transaction, the model can preserve the original investment case, incorporate actual data functionality and maintain a live forecast – supporting FAB Analytics’ positioning of models for deals and beyond.
Our models are designed to help answer questions such as:
FAB Analytics has direct experience building new fund establishment models especially for private credit funds and real estate private equity funds. These models translate the proposed fund strategy and commercial terms into a structured view of investment deployment, fund expenses, cash requirements, portfolio performance and projected investor returns.
The model can support internal planning and fundraising discussions by allowing the fund manager to test the proposed fund size, investment period, deployment pace, portfolio construction and return assumptions before launch. Depending on the structure and agreed scope, the model may also include investor commitments, capital calls, distributions and waterfall mechanics.
FAB Analytics has experience in building integrated reporting models for private credit funds. These models bring together detailed loan-level schedules, ongoing loan book management and fund-level forecasting within a single financial reporting and monitoring framework.
The models capture loan terms and scheduled cash flows, which can be updated for actual receipts, delays, defaults, prepayments and extensions. At fund level, they combine contracted and forecast lending cash flows with fund-level operating costs, financing, liquidity, covenants and return metrics.
This enables investment and finance teams to monitor portfolio and fund performance, compare actual results against original or revised forecasts, and reduce reliance on disconnected schedules and manual reporting.
FAB Analytics has built portfolio reporting models for private equity funds, asset management companies (AMCs) and development finance institutions (DFIs). These models consolidate financial information, investment data and operational KPIs across portfolio companies, assets and projects while retaining visibility at the individual investment level.
The models are designed as scalable reporting tools rather than one-off quarterly spreadsheets. New investments and assets can be added easily and incorporated into the portfolio consolidation without rebuilding the reporting framework.
The reporting model can track actual performance against the original investment case, budget or latest forecast; monitor valuations, cap tables, exposure and expected returns; and produce consistent reporting for management, investment committees and other stakeholders.
FAB Analytics has experience building investment appraisal models for private equity funds and family offices assessing direct investments. These models help decision-makers understand the commercial case, funding requirement, downside exposure and expected returns before capital is committed.
The model is built around the specific investment rather than a generic template. Corporate investment models can include integrated operating forecasts, acquisition financing and exit analysis, while real estate models can incorporate development, leasing, operating, debt and disposal assumptions. Outputs are structured for practical review by the investment team and investment committee.
Our fund and investment modelling experience is relevant to:
| Model Module | What It Covers |
|---|---|
| Fund Strategy and Assumptions | Fund size, investment period, strategy, deployment timing and key commercial assumptions. |
| Commitments and Capital | Investor or sponsor commitments, capital requirements, calls, distributions and available capital where relevant to the structure. |
| Investment Deployment | Timing and size of loans, properties, corporate investments, follow-on funding and reserves. |
| Investment or Loan Cash Flows | Corporate operating forecasts, real estate cash flows or private credit loan schedules, depending on the engagement. |
| Fees and Expenses | Management fees, establishment costs, fund expenses and other agreed fund-level costs. |
| Fund Cash Flow and Liquidity | Investment funding, income, expenses, financing, cash balances, collections, exits and distributions. |
| Portfolio Performance | Actual, original case, and forecast KPIs at investment and consolidated portfolio level. |
| Valuation and Returns | Investment value, NAV, IRR, MOIC, cash yield, proceeds and other agreed return measures. |
| Reporting and Dashboards | Fund, portfolio, management or investor-ready outputs designed around the reporting requirement. |
| Scenarios and Sensitivities | Deployment, operating, valuation, interest rate, default, recovery, and exit timing scenarios. |
| Checks and Controls | Financial statement checks, data management checks, and other model integrity controls. |
Fund and portfolio models influence investment, fundraising, liquidity and reporting decisions. They may be used by investment teams, finance teams, management committees, advisors and investors. The model therefore needs to be transparent enough to review, flexible enough to update and robust enough to remain useful as circumstances change.
Our experience is concentrated in practical fund requirements: new fund establishment for private credit and real estate private equity funds; private credit fund reporting; portfolio reporting for private equity funds and DFIs; and investment appraisal for private equity funds and family offices.
An investment or establishment model should not become redundant after approval or fundraising. Where relevant, we design the architecture so the same models can be used for ongoing individual investment or portfolio performance monitoring and reporting.
We do not force every requirement into a generic template. The model is designed around the fund strategy, investment type, cash flow mechanics, data sources, return measures and reporting outputs that matter to the client.
Our models use clear inputs, consistent formulas, transparent calculations and structured outputs, with a clear separation between inputs, workings, outputs and checks.
We can review existing models, improve reporting structures and provide ongoing support as investments, forecasts and reporting requirements evolve.
We start by understanding the fund strategy, investment type, lifecycle stage, stakeholders and the decisions or reporting outputs the model needs to support.
We identify the relevant fund or investment terms, cash flow mechanics, return measures, reporting definitions and source data. This may include legal terms, loan schedules, portfolio submissions, administrator reports or existing models.
We design the input structure, investment or loan modules, consolidation logic, outputs, dashboards and checks before detailed development begins.
We develop the model using transparent calculations and consistent formatting, with a clear separation between inputs, workings, outputs and checks.
We test formulas, cash flows, balances, return metrics, scenarios and reporting outputs. The model is also stress-tested and subject to FAB Analytics’ quality-control software checks.
We walk the team through the model, incorporate feedback and support future updates, investment cases, revised forecasts or reporting requirements where agreed.
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