For more than 40 years, RealData has helped real estate investors and developers navigate the road to success.
Our mission is twofold: To supply the software tools you need to evaluate commercial, residential and mixed-use income-property investments, projects and partnerships; and to provide you with the educational materials and resources to be a knowledgeable investor.
The acronyms you encounter on your journey to building wealth in real estate may seem like a witch’s brew of random letters. But every business or profession has its secret handshakes, its unique vocabulary, and real estate is no different.
In my previous post, I discussed what I believe are some of the most important pros and cons of investing in self-storage real estate.
As with most real estate sectors, self-storage features some terms that are particular to this property type — specifically in how owners describe occupancy: Unit Occupancy, Physical Occupancy, and Economic Occupancy. Let’s review them:
Simply put, self-storage properties are built to contain many, often hundreds of individual storage spaces of varying sizes. It’s a booming market, forecast to be worth over $64 billion by 2026.
The rise of home-sharing platforms like Airbnb has been a boon to property owners, especially owners of smaller income properties, but it has also prompted municipalities to introduce regulations on short-term rentals (STRs). Many places impose restrictions, such as requiring permits or licensing, limiting occupancy, and restricting the number of days permitted.
Real estate has probably been the best vehicle for building wealth since, well, forever – and income-producing real estate (aka rental property) may be the type of real estate that offers the greatest opportunities to small and mid-size investors.
But nothing worthwhile comes without a few potential pitfalls. You can and certainly should prosper as an investor, but to do so means being mindful of some mistakes that could derail your success. Let’s consider a few of the most important:
For those of us whose experience with rental property goes back a few decades (maybe even more than a few), the term “property management” conjures up images of ledger books for recording rent payments and expenses, receipt pads for tenants who paid by cash, and a plumber or two on our landline’s speed dial.
If you’ve gotten involved as a landlord or tenant with non-residential real estate, such as retail or office buildings, then you have probably encountered a phenomenon that may go by any of several names: expense recoveries, expense reimbursements, pass-throughs, or common area maintenance (CAM) charges. What exactly is this phenomenon and how does it work?
Expense recoveries (aka reimbursements or pass-throughs) serve as a customary ingredient in leases for non-residential property. In part 1 of this article, I discussed some of the typical ways such an arrangement might play out.
In Part 2 of our discussion of real estate expense recoveries, we looked at several different methods that property owners use to recover some of their operating costs from tenants:
Users of our Real Estate Investment Analysis program sometimes call us with questions that are not about the software but about the underlying analysis. If we had a “greatest hits” list for those questions the all-time winner would be this: “My cash flow goes up each year; the value of the property goes up each year; but when I look at the Internal Rate of Return, it goes down almost every year. What’s up with that?” To see how this can happen, let’s take a look at two very simple examples.
I had a question recently about a metric called Yield on Cost, aka Return on Cost and also sometimes called Development Yield. So what is it and when and how might it be useful?
Regression – no, it’s not what your family and friends accuse you of when you want to trade in the mini-van for a two-seater stick-shift convertible (well, maybe it is, but that’s a topic for a different article). If you’re familiar with our RealData software, my online video courses, and my other blog posts here, then you know that I’m usually talking about income-producing property like multi-family, retail, office, or the like — seldom about single-family homes. And when we estimate the value of most income properties, we typically do so by looking at their income stream.