A high net yield looks like the obvious win on paper. More income against the purchase price should mean a better deal. Yet many of the most successful commercial property buyers deliberately walk past those higher-yielding properties in favour of ones returning less.
This isn't an oversight. It's a decision made by people who already understand risk better than most, because they've built and run profitable businesses. The same judgement that tells them not to chase revenue at any cost in their own company is exactly what tells them to be sceptical of yield as a standalone number.
A conversation between Arjun Paliwal, CEO & Head of Research at InvestorKit, and Chris Huxter, Partner of Commercial Investments, unpacks why this happens and what business owners are actually weighing when they choose a lower-yielding asset over a higher-yielding one.
What Happened
The discussion centres on a pattern Chris sees repeatedly among business owner clients: a preference for lower net yields when the trade-off buys them a stronger lease, a more reliable tenant, or a better-positioned asset. Rather than treating this as counterintuitive, the conversation frames it as a direct extension of how these owners already run their businesses, where they routinely accept a lower headline number in exchange for durability, lower risk, or long-term compounding.
The conversation walks through why a high net yield often signals a hidden cost elsewhere, whether that's extended vacancy periods, an over-niche tenant, or rent already sitting above the surrounding market. It also draws a direct comparison to large, well-known retail operators who buy assets at low yields on purpose, arguing that this is smart capital deployment rather than a poor decision, as it's sometimes characterised by commentators fixated on yield alone.
Throughout, the emphasis is on a four-factor framework, lease, tenant, asset and market, as the real basis for evaluating a purchase, with yield treated as an output of that assessment rather than the starting point.
Key Takeaways
Why a High Yield Is Rarely "Free" Upside
A net yield sitting at 7% or higher was described in the discussion as something that typically comes with a trade-off elsewhere. That might be a tenant whose industry is niche enough to make re-leasing difficult, a rental figure already above what the market would otherwise support, or a property type where vacancy periods can stretch well beyond what most investors expect. Chasing the highest available yield, without accounting for these factors, is treated as one of the most common mistakes in commercial property investing.
The Four-Factor Test Behind Every Purchase Decision
Rather than assessing a deal on yield in isolation, the discussion outlines a framework built around four elements: the lease terms, the tenant's quality and industry resilience, the physical asset itself, and the broader market it sits in. A yield that looks strong on paper usually means one or more of these four factors has been compromised to produce it.
Certainty of Rental Growth Over the Size of the Return
A theme repeated through the conversation is that rents rising with certainty, even modestly, were considered more valuable than a higher yield without that certainty attached. This reframes the decision away from a single point-in-time return calculation and toward the reliability of income over the life of the lease.
The Bunnings Principle: Why Big Players Accept Lower Yields on Purpose
Large, well-capitalised operators are often observed buying commercial assets at yields that look unattractive to commentators focused purely on the numbers. The discussion argues this isn't a mistake but a deliberate, long-term capital strategy, one where a lower initial return is accepted in exchange for a long, secure lease and reduced reletting risk. Several of these assets, according to the discussion, have since traded at yields of 7–8% against the original purchase price as values have grown, reinforcing the "set and forget" nature of the original decision.
Applying Business Judgement to a Different Asset Class
Successful business owners already evaluate their own companies on far more than top-line revenue, weighing staff retention, market size, competitive barriers and margin sustainability. The discussion argues that commercial property deserves the same lens. An owner who wouldn't judge their own business purely on revenue shouldn't judge a commercial property purely on its yield.
Why This Mindset Tends to Show Up as Business Owners Scale
Owners taking on significant risk to grow a business often use commercial property as a deliberate way to diversify that risk rather than reinvesting everything back into the same venture. Choosing a lower-yielding, better-secured asset fits this goal directly: it functions less like a speculative return play and more like a long-term, defensive addition to their overall financial position.
Actionable Lessons for Investors
Treat a high net yield as a signal to investigate further, not as a reason to move quickly.
Assess any commercial opportunity against lease strength, tenant quality, asset condition and market position before comparing yields.
Weigh the certainty of future rent increases as heavily as the current return figure.
Consider that a lower-yielding, well-tenanted asset may carry meaningfully less risk over a full lease cycle than a higher-yielding alternative.
Apply the same evaluative discipline used in running a business, looking past a single headline metric, when assessing a property purchase.
Buying commercial property at a lower yield isn't a concession; for many business owners, it's the point. The decision reflects the same risk-adjusted thinking that built their business in the first place, prioritising durability and certainty over the largest number on a spreadsheet. Viewed this way, a lower yield isn't something to be talked out of. It's often the clearest sign that an owner has correctly applied their own judgement to a new asset class.
If you want to see how this can apply to your own portfolio, book a free discovery call with the InvestorKit team.
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