Let's Debate Multifamily Modeling

Hey all - I'm in search of some best practices and hopefully some consensus when it comes to multifamily modeling.

A bit of background, I have spent most of my career in hotels but am pivoting to a generalist role.  As such, I'm in the process of building out a fairly robust multi model.  I have found the inconsistency in how people model multifamily properties to be frustrating and am looking to get a clearer picture of what this group thinks are best practices and why.  My issue is that the variations in how different groups model MF cashflow (some of which seem conceptually unsound) have left me with analysis paralysis.  None of this could actually matter in practice but would at least like to understand the why a bit better from the multi experts.

I have included a photo of what seem to be the most logical options/prevalent in institutional investment and my notes on each.  Would love to hear everyone's thoughts or how your firm does things.  If there's a way to attach an excel file, I can do that as well just don't know how.

MF Pro Forma Options

Which MF Pro Forma is best?

Option A
43% (22 votes)
Option B
22% (11 votes)
Option C
16% (8 votes)
Option D
14% (7 votes)
Other
6% (3 votes)
Total votes: 51
17 Comments
 

Based on the most helpful WSO content, here are some best practices and insights for multifamily modeling:

Key Considerations in Multifamily Modeling:

  1. Cash Flow Modeling:

    • Consistency: Ensure that your cash flow model is consistent and logical. Variations in modeling approaches can lead to confusion and analysis paralysis.
    • Inputs: Use reliable inputs for vacancy rates, bad debt, rent growth, and expense growth. These should be based on historical data and market research.
    • CapEx: Account for capital expenditures (CapEx) realistically. Sellers often scrub their data, so anticipate regular maintenance and unexpected repairs.
  2. Risk Assessment:

    • IRR Drivers: Understand what drives your Internal Rate of Return (IRR). Is it rent growth, cap rate compression, or leverage? Assess the likelihood and impact of these factors.
    • Scenario Analysis: Conduct scenario analysis to understand potential risks and their impact on your returns. This includes changes in market conditions, interest rates, and operational challenges.
  3. Model Sophistication:

    • Templates: Start with a robust template that can be customized to your specific needs. This ensures that you cover all necessary aspects of the model.
    • Software: While not always necessary, using specialized software can help manage the complexity of multifamily projects. Excel is commonly used, but tools like Argus can provide additional functionality.
  4. Presentation and Justification:

    • Clear Story: Ensure that your model tells a clear story. It should be easy to understand how money is being made and what the key risks are.
    • Data Sources: Be transparent about where your data comes from. This includes market reports, historical performance, and expert opinions.

Practical Tips:

  • Annualized MOR: If your firm owns similar multifamily properties, use an annualized Monthly Operating Report (MOR) for comparison.
  • CapEx Planning: Plan for regular CapEx items like roofing, facade work, and elevator compliance. These are often not shown in the seller's budget but are necessary expenses.
  • Legal Aspects: Be aware of any complicated legal aspects, especially in distressed deals. This includes unusual leases, debt structures, and litigation issues.

Community Insights:

  • Experience Sharing: Engage with the community to share experiences and best practices. This can help you understand different approaches and refine your model.
  • Feedback Loop: Continuously seek feedback on your model from peers and experts. This iterative process can help you improve and adapt your model to changing conditions.

By following these best practices and leveraging community insights, you can build a robust and reliable multifamily model that helps you make informed investment decisions.

Sources: Lunch & Learn -Ins and Outs of Multifamily, Multifamily Developers and Acquirers: What do you look for in property management firms?, Real Estate Development Modeling, Life in Acquisitions (Analyst/Associate), How to Convince My Boss to Include Excel Modeling Into the Job?

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

It’s all really semantics. There is no right answer. And as you can see 3 of the 4 methods land around 2.4M. And the $3K difference isn’t going to make a difference in your deal. 
 

Option 4 is the only one where I actually disagreed. Reason being concessions should be based on gross rent - as that is rent at market. And concessions should be based on market rent. Loss to lease is to deal with the fact that you may have rents continually increasing each month, but a lease you signed 10 months ago is still at the same rate. Therefore you have a loss due to a lease. 

 

Thanks - I feared I would be told there's no right answer - unsatisfying for sure.  I feel like we can at least find a most logical method.  My rebuttal to your second point would be that you're only giving concessions on occupied units, so it would make more sense to deduct vacancy first.  Bad debt would follow the same logic - you can't have credit loss on vacant units.  I get your point on LTL, but if you have a unit with market rent at $1,600 but the property manager leases it at $1,500 and gives one month free rent, that concession would be based on the $1,500, not the market rent.

 

We're currently working on some adjustments for this (London based BTR / Multifamily shop working with Top US LP (bank, fund...))

My 2 cents and how our model (inherited from a major US bank AM arm):

ERV = Market rent trended (takes into account economic growth and capex uplift %, when we complete value-add capex we say ERVs go +x%)

Loss to lease = (GPR - ERV)

GPR = Contracted Rent

- Concessions 

- Vacancy Loss

= Residential Rent Received 

Then comes ancillary, parking, bad debt to give you your net before diving into OPEX

My point is: Loss to lease should not be an assumption as it is an output 

On void / vacancy: We have a general void % assumption (call it 97% for stab. BTR) and it makes sense to apply this to GPR - what I've recently worked on to give a clear picture of income available to service debt is to get to a dynamic void calcs with the following: 

Vacancy % = 1-Void %

Void % = Expiries * Churn Rate * Void days / total days in the month

-> Void days (Your AM guy or PM tells you how long on average a unit stays empty during this month - 20 in July, 10 in Dec... and you index/match to this) 

-> total days in the month = number of units * number of days in that month

 

Appreciate the detailed reply.  I get what you're saying on LTL being the output, not the input.  From a projection standpoint, it's much easier to make it the input.  Say my current market rent is $1,600 and in-place rent is $1,500, so in-place LTL is 6.3%.  I would model 6.3% going in and reduce the LTL % in a year if marking rents to market was part of the business plan.  But agreed on modeling in the rent growth and capex lift to ERV.  Are you modeling concessions and vacancy as a percentage of GPR?

 

Here is what I am thinking about:

For Retail and Office building, you may look for the Argus Enterprise, to see the spreadsheet result generated by this weird software.

For multi, you may start with Market rent first,
then the loss to lease, Potential rental income.
Vacancy , Concession, credit loss. Ex. If vacancy is 5% of Potential rental income, concession (2%) should be 2% * (1-5%)*Potential rental income to avoid double counting. Then you adding your other income to get the effective gross income.

But actually you are right, different big shops have different underwriting practices. So it just depends on your assumptions and justification.

Hope it can help you .

 

My model goes: 

Base Rental Income 

Renovation Premium

Less Loss to Lease (% of Base Rental Income)

Gross Potential Income (GPI)

Vacancy (% of Base Rental Income + Reno Inc ) (Does not include LTL)

Credit Loss  (% of GPI less Vacancy)

Concessions (% of GPI less Vacancy)

Non income units (% of GPI less Vacancy)

Base Rental Income 

Other Income

Effective Gross Income

Expenses

NOI

 

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