How Granular are your Real Estate Models and Analyses?

Hi all,

Been looking at this topic over the WSO forum, but couldn’t find anything, so thought of raising the question myself.

I constantly find myself doing a lot of granular analysis on behalf of senior team members on potential acquisitions due to the constant big yield spread between sellers and buyers, and trying to get nearer to what the seller is asking for.

At the moment I am going over modelling earn-outs, different types of waterfalls, potential value-add refurbs that could improve the NOI, and at the same time informing on what the untrended / trended development yield is, how much the business would earn based on a JV structure, modelling tax, and on top of it all doing all the research, putting together some quite detailed presentation on demand, supply and opportunity related details (mainly DD and what still needs to be done). Most of the models are now becoming very bespoke and my weeks are slowly becoming more and more long, closing in on nearly 60 hours a week.

I am wondering for those working as analysts / senior analysts / associates in the REPE sphere, do you tend to go through the same level of granularity in order to come to a conclusion, or are your analyses a bit more light, meaning you focus on the basics (IRR, Equity Multiples, partnership CF) and try to close the transaction asap and move onto the next opportunity?

FYI I work at a REPE firm doing development, and is also an owner / operator of a few portfolios.

 

Based on the most helpful WSO content, here's what you need to know about the granularity of real estate models and analyses in the REPE sphere:

  1. Granularity of Analysis:

    • Earn-Outs and Waterfalls: Analysts often model earn-outs and different types of equity waterfalls to understand the distribution of returns under various scenarios.
    • Value-Add Refurbs: Potential value-add refurbishments are modeled to project improvements in Net Operating Income (NOI).
    • Development Yields: Both untrended and trended development yields are calculated to assess the profitability of development projects.
    • Joint Venture (JV) Structures: Analysts model the business earnings based on JV structures to understand the financial implications of partnerships.
    • Tax Modeling: Tax implications are modeled to ensure accurate financial projections.
    • Detailed Presentations: Analysts compile detailed presentations on demand, supply, and opportunities, often as part of due diligence (DD).
  2. Workload and Hours:

    • Bespoke Models: The models become very bespoke, tailored to specific transactions and scenarios.
    • Long Hours: Analysts often work long hours, sometimes nearing 60 hours a week, due to the detailed and granular nature of the analyses.
  3. Comparison with Other Analysts:

    • Varied Approaches: The level of granularity can vary. Some analysts focus on the basics like Internal Rate of Return (IRR), Equity Multiples, and partnership cash flows (CF) to close transactions quickly and move on to the next opportunity.
    • Firm-Specific Practices: The approach can depend on the firm's practices and the specific requirements of the senior team members.
  4. Professional Insights:

    • Experience and Efficiency: Over time, with experience, analysts become more efficient in using Excel functions and modeling techniques, which can help manage the workload better.
    • Learning Curve: Understanding the data and the end goals of the analysis is crucial. With practice, the process becomes more intuitive and less time-consuming.

In summary, the granularity of real estate models and analyses in the REPE sphere can be quite detailed, involving various financial and operational aspects. The workload can be significant, but efficiency improves with experience. The level of detail can vary depending on the firm's practices and the specific transaction requirements.

Sources: Starting in Real Estate Development, Q&A: 2nd Year REPE Associate, Those who left RE, where did you end up?, What kind of money can you make in Real Estate? What are the best roles? REPE, Brokerage, REIT, etc., Blackstone RE Analyst

I'm an AI bot trained on the most helpful WSO content across 17+ years.
 

What you have listed I would consider standard analysis and not granular

 
Most Helpful

Thanks for your comments guys. I think I must have written the question right before bed time, and missed out on clarifying the granularity I am referring to at the beginning of my question.

The granularity consists of: amending and adding additional layers of inputs and calculations for taking into account seasonality of income, different occupancy rates per season and year, modelling variable costs based on occupancy and seasonality, as well as forward looking cost curves (such as electricity, transmission costs and consumption), additional potential value-add works, such as adding several partition walls to create additional rooms and improving fit-out, which would hopefully boost rental growth, however you would also need to grow the cost base because of the additional tenants that would have to use the services, etc..... Without mentioning that most of these additional works carry a development risk which could backfire tremendously. 

All I am trying to figure out is whether all the above is actually necessary if all you're trying to do is get closer to what the seller is hoping to get, when in reality a model is needed to make an informed decision. In my opinion, you already know you're at fault when you're trying to engineer a model to make it work with a targeted purchase price. 

But yeah, curious to hear how you guys carry out your own analyses to find out what else I could do in addition to the above ;) 

 

if the deal does not work on a napkin, it will not work with the most detailed modeling. Keep it simple

This.  1000x this!

Your model has absolutely no value.  Whether you spend 15 minutes or 15 hours turning it into the most perfect tool for real estate evaluation that has ever or will ever exist, your model will never earn you an additional dollar in revenue or save you a single dollar of expense.  

Layering in seasonality of income or whatever is a waste of time.  You make money in real estate by managing and operating the property.  If that isn't how you are driving value, then you're not really a real estate professional, you just are gambling on macroeconomic or local trends.  Your underwriting model should tell you whether or not a deal makes money with a pretty simple set of inputs.  What is your rent roll?  What are your operating expenses?  How expensive is the asset, and what does the financing market look like.

After that its meaningless.

 

You're definitely oversimplifying a bit here... What about value add deals? If I can backfill a massive vacant anchor at a retail property or execute a full renovation of the building's units in a multifamily deal, I absolutely need to model those and account for the time it takes to execute those business plans.

Yes, extremely granular modeling is dumb, but there's value to more than a back of napkin analysis.

 

piggybacking - but I am always perplexed at monthly cash flow models with 120 columns for a 10 year hold. I can understand if your hold period is 1 year or if there is a development period where cash flows will be wildly different, but for stabilized/light value add models, monthly cash flows are unnecessary brain damage, but most firms seem to model that way. 

 

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