The Recovery Isn't Evenly Distributed: How to Know If Your Portfolio Is Actually Winning

CRE lending is projected to hit $805 billion in 2026 — a 38 percent increase from last year. Multifamily supply is contracting. Capital is moving again. By most headline measures, the recovery is here. But national recovery data is an average. And averages hide the assets that are capturing the upswing and the ones that are quietly falling behind. 

In this episode, Louis Hiza breaks down exactly why portfolios diverge in a recovering market — and how to determine, at the property and portfolio level, whether your assets are positioned to benefit or simply along for the ride. Topics covered: 

1. Why 93.5% national occupancy tells you almost nothing about your specific assets
2. The four operational factors that separate portfolios capturing the recovery from those watching it happen
3. Break-even occupancy: what it is, how to calculate it, and why it may be the most important number heading into your next refinance
4. The gap between what your monthly P&L shows and what your portfolio's performance analytics should be telling you
5. Three questions every operator should answer before sitting across from a lender in H2 2026

 This episode is for serious real estate operators who want to move beyond headline data and understand what the numbers are actually saying about their portfolio. 

BHPA - https://bhpropertyadvisors.com/

Transcript

SPEAKER_00 0:12

Welcome to Beyond IRR. This podcast examines real estate investments through the lens of structure, risk, and capital durability, not just headline returns. I'm your host, Louis Heiza. This podcast is sponsored by Beacon Hill Property Advisors. Let's start with a number that got some attention recently. Moody's is projecting about $805 billion in commercial real estate lending for 2026. That is a 38% increase from 2025. And on the surface, that sounds like a green light. Lending is back, capital is moving, the market is recovering. But I do want to push on that just for a minute because I think there is a meaningful difference between the market is recovering and your portfolio is recovering. And that distinction, that gap between what the macro data says and what your assets are actually doing is really what this episode is about. So let's build this out carefully. The macro pictro is real, but it's an average. The lending recovery is happening. That's not really in dispute. After a period of significant credit tightening, lenders are coming back to the table. Commercial real estate loan originations are increasing, and multifamily in particular is seeing renewed institutional interest. For example, Carmel Partners just closed a $1.35 billion multifamily fund. So the capital is there. At the same time, national multifamily occupancy is sitting at approximately 93.5%. The historical baseline is closer to about 94.4%. So that's a 90 basis points gap, and it matters more, honestly, than it might look. That's doesn't look like a big gap, but when we're dealing with averages that we have been tracking for quite a while, these are pretty firm numbers. Good data coming into those statistics. That is a bit of a significant gap. The rent growth is recovering, but it's modest. And national projections are around 1.2% for the year in terms of rent growth. And in several key Sunbelt and kind of mountain metros, markets like Phoenix, Austin, Denver, Charlotte, elevated new supply is still working through the system. And the development pipeline is contracting, which is constructive for 2027 and beyond, but that contraction does not erase the units that are delivering today into markets where vacancy is already elevated. So what you have is a macro picture that says lending is recovering, capital is interested, the long-term supply picture is improving, and a property level picture that, depending on where your assets sit, could look very different than those headlines. So that's the setup. Now let's talk about why the gap exists and what to do about it. So why did portfolios diverge in this particular recovery? The core mechanic is pretty straightforward, even if it is often overlooked. When the market improves, not every asset captures that improvement at the same rate or to the same degree. And the reasons for that divergence are almost never random. They're usually traceable to specific operational and financial characteristics. So let me give you four of those. The first is vacancy trajectory. An asset sitting at a 91% occupancy in a recovering market is not the same as an asset sitting at 95%. That sounds obvious, but the implication is often underappreciated. In a market where rent growth is only 1.2% annually, an asset that is 400 basis points below market occupancy is not just leaving revenue on the table today, it is also more exposed to any softness that comes from continued lease up competition. The question is not just where occupancy is, but which direction it's moving and how fast. The second is expense trajectory. Revenue recovery tends to get most of the attention in a rising market. Expense management gets less, but in an environment where operating costs like insurance, property taxes, maintenance, for example, have increased materially over the past several years, especially insurance, and depending where you're at, property taxes, an operator whose expense ratio has crept up 200 or 300 basis points is facing a meaningfully different NOI picture than the revenue line alone would probably suggest. So I've seen properties where gross rents are up 8% over three years, and NOI is flat because expenses grew faster. And that is a real dynamic, and it shows up in a performance analysis in ways that a monthly profit and loss statement often does not capture. So the third here is submarket position. This one is geographic, but it's also positional. A 20-unit multifamily asset in a submarket that has absorbed 1,500 new units over the past two years is operating in a fundamentally different competitive environment than a similar asset in a supply-constrained market. National occupancy averages tell you nothing about this. Only property level data benchmarked against the relevant submarket does. And then the fourth is capital efficiency. This is perhaps the most underappreciated factor in how portfolios perform in recovery. Capital efficiency asks: for every dollar of equity deployed across the portfolio, how much NOI are you generating? An operator who has overpaid for assets at peak pricing or whose equity is concentrated in assets with fit margins may experience a market recovery and still not see meaningful improvement in their equity yield. The recovery has to clear a higher hurdle for those assets to start producing returns. So when you put these four together, that's vacancy trajectory, expense trajectory, submarket position, and capital efficiency, you get a picture of why two operators with seemingly similar portfolios can experience the same macro recovery very differently. One is positioned to capture it, the other is watching the market improve around them without feeling much of it. So that brings us to the occupancy ban problem. I want to spend a few minutes on occupancy specifically, because it is one of those metrics that looks simple on the surface and turns out to be quite consequential when you dig into it. So let's do some real math here because I think it clarifies the situation in a way that abstract framing does not. All right, so imagine a 24-unit multifamily property. Let's say average monthly rent is $1,600, annual gross potential rent, if you're fully occupied every single month, is let's say that works out to be $460,800. So at a 93.5% occupancy, which is roughly where the national average sits, your effective gross income is approximately $430,848. At 95% occupancy, it's $437,760. And at 91, you're down to $419,328. So the difference between 91 and 95% occupancy, you know, four percentage points, $400 basis, is approximately $18,400 in annual revenue. So on a property with, say, $200,000 in operating expenses, that's the difference between an NOI of roughly $220 and an NOI of roughly $238, an 8% difference in NOI from a 4% difference in occupancy. Think about that. Now run that through a refinancing scenario, which is what a lot of people are facing right now, myself included. You're heading into quarter two 2026 refinance. The lender is underwriting your DSCR. That's a metric that they are looking heavily at, even if it's not a quote unquote DSCR loan. So at a 7% DSCR loan rate on a $2 million balance, your annual debt service is going to be roughly 160K. At the higher NOI, 238K, your DSCR is approximately 1.49. That's very solid. Banks would love that. At the lower NOI, 220, your DSCR is approximately 1.38. That's still about above 1.25, which is generally the threshold. But that margin has narrowed considerably. And here's the part I think operators often miss. It's that 91% occupancy might look fine in a vacuum, but if the trend over the last four quarters is 95%, 94%, 92, 91, that is a deteriorating trajectory. And a lender's going to see that. They are not just underwriting today's number. They're looking at the direction of travel. Now, for me specifically, I'm working on the refinance of an office complex in the Midwest. And this is a lender. We've we bought the asset in 2022, refinancing it now with to uh lower rates for one and to pull out a little more capital X, capital expenditure funds to get a little couple more items completed. And the lender, as we're going through the process, the lender actually pulled up my projections, our original projections when we bought the place, compared it to our tax returns over the past couple of years, and had some questions. They didn't exactly match. In this case, there's a very reasonable explanation of pulling out of the COVID area, uh COVID era market freeze for commercial, specifically office. Us and everybody else were kind of just guessing on how that unfreeze would go. In this case, we were a bit optimistic. We told the bank that look, we were a bit optimistic, but you know, by now, by end of 2025, 2026, our numbers are right where we expected them to be. So uh it's not, you know, the business plan's still there. There's the timing was a bit off. But banks are gonna look back. They're gonna look back at your previous uh DSERs and occupancy numbers, and and they're gonna do their own trajectory calculations because they want to know is your projections, do they match what actually has been happening? And so this is what I mean, I guess, when I say breakeven occupancy matters. Breakeven occupancy is the minimum occupancy rate at which a property's income covers its total obligations, operating expenses plus debt service. At 2021 interest rates, the break-even for a typical asset may have been, let's say, 68 or 70%. That left enormous margin for error. Especially if you're you know up in the mid-90s, even in even the low 90s. At 2026 rates, that same asset might have a break-even occupancy of 88 or 90 percent. Don't forget the market average is 93.5%. That sounds fine, but if your specific asset is trending down and your break-even's at 90%, the margin is considerably thinner than it appears. And if you have a pending refinance, uh, that could certainly play a role. So knowing your breake-even occupancy is not, it's not optional financial trivia, in our opinion. In the current refinancing environment, it is the single most important number on an asset. I would contend that along with this number, DSCR is the most important number because these are really the two the banks are going to scrutinize. And at the end of the day, you got to make the banks happy to get a refi done. And there's good reason for that. It's not just a, you know, a side quest to make the lender happy. When a lender's happy, it means the deal's good and healthy. So this takes us now to what the monthly PL does not show you. This brings me to something I think about a lot, which is the gap between the reporting most operators receive and the analytical picture that they actually need. The standard monthly financial report from a property manager is built around what happened. Income is received, expenses paid, net cash flow. It's a historical document, but it answers the question: how did this perform last month? How'd the property performed last month in the past, et cetera? And that's useful, but it does not answer the questions that actually matter for strategic decision making. So that it would be how is the property performing relative to its submarket? Is my rent growth keeping pace with the market? Is it falling behind? Is it outperforming? Is my vacancy above or below comparable properties in my area? How this property trending over time, or how is it trending over time, and what does the trajectory suggest about where it will be in 12 months? Is the occupancy stable? Is it improving or showing early signs of deterioration? What is the break-even occupancy at current debt terms and how much cushion do I have? What happens to that cushion if occupancy moves 200 basis points in either direction? Call that a sensitivity analysis. And perhaps most importantly, how does this asset's performance compare to the rest of my portfolio? Is capital allocated here producing returns at the same rate as capital allocated elsewhere throughout the portfolio? Or am I holding an underperformer that is dragging down the portfolio level efficiency? So these are questions that performance and analytics are designed to answer, and not by replacing the monthly PL, but by sitting above it, taking the raw financial data and organizing into a framework that surfaces the strategic picture. The four-level hierarchy I think about in this context is first, operating reality. What is actually happening with occupancy, rent, expenses? That's cash flow numbers. I want to see NOI, debt service, cash flow. That's real raw data. That's what we call the operating reality. The second tier would be capital efficiency. What is the portfolio producing relative to what has been invested? Third, we're going to look at risk instability. Where are the fragile points? The assets with thin margins or deteriorating trends. And finally, and only finally, do we look at long-term outcomes? Where is this portfolio headed over three to five year horizon if current trajectories continue? So it's not till the fourth tier at the end that we're actually looking at numbers like internal rate of return or equity multiples, anything like that. Those are not diagnostic metrics. Those are long-term tier four metrics in our book. So most investors have access to level one. Operating reality shows up in the PL imperfectly, to be fair. But levels two through four are typically invisible without intentional analytical work. So the three questions to ask right now, if you are an operator heading into quarter two, 2026, and that applies to a significant number of people given the loan maturity wallet is coming due in the second half of this year. If you're heading into Q2 2026 with a refi in the next, you know, now or in the near future, you're working with banks right now. So here are three specific questions I would encourage you to get answers to before you sit down across with your lender. So number one, what is my break-even occupancy at current debt terms? Not at the rate you originated at, at today's rate or the rate you expect to refinance at. If that number is 88% or above, you want to know it now, not sitting in front of your lender when they tell you that and you draw a blank. And if you have not run that calculation for every asset in your portfolio individually, do it. The portfolio level average will hide outliers. Question number two, you got to ask: how does my NOI trend over the last four quarters compare to my submarket's rent growth? If your submarket rent has grown 3% and your NOI is flat or declining, something in your cost structure is eating the revenue gains. And that's worth understanding before a lender asks about it. And finally, question number three: which of my assets is the most fragile? Meaning which asset has the highest breakeven occupancy relative to where it is currently operating, the least margin for vacancy improvement or movement, either way, and the most exposure to continued lease up competition from new supply. So knowing the weakest link in your portfolio is not the featest. It's the starting point for a rational capital allocation conversation and gets you working towards stabilizing your portfolio and hopefully translating that into less sleepless nights if you're in that camp, which most of us have been. So to wrap up, the recovery is real, but recovery is not evenly distributed. And knowing exactly where your portfolio sits within that recovery, not at the market level, but at the asset and portfolio level, is the analytical work that separates operators who benefit from it from those who watch it happen to somebody else. So, as always, we'll close with a fun fact here. The concept of breakeven occupancy as a formal underwriting metric did not become standard practice in commercial real estate lending until the late 1980s, largely in response to the savings and loan crisis. But prior to that, many lenders relied almost entirely on as is appraised value and current NOI without stress testing for occupancy deterioration. Gee, that must have been nice. The savings and loan crisis, which ultimately cost U.S. taxpayers around, I number, you know, debated, but about $130 billion, was partly fueled by lending on assets where the break-even occupancy was never calculated. So today it is a routine part of institutional underwriting. And for independent investors managing 10, 30, or 100 units, it remains underused. Thanks for listening. I hope you got something out of this episode, and we'll see you next Monday. Thank you for listening to Beyond IRR. This podcast is produced by Beacon Hill Property Advisors, where we focus on bringing clarity, structure, and rigor to real estate investment analysis. If you want to evaluate deals beyond headline metrics and better understand the mechanics driving performance, you can learn more about our tools and approach at bhpropertyadvisors.com. You can also connect with us directly for demonstrations, resources, and additional insights. Until next time, analyze deeply, allocate wisely, and always go beyond IRR