Blog — 9 Jul, 2026

Quantifying Commercial Real Estate Loan Risk in Australia: Key Takeaways from Our Latest Webinar

On 19 May 2026, S&P Global Market Intelligence hosted a webinar exploring how Australia's commercial real estate (CRE) lending landscape is evolving under growing scrutiny — and how lenders can make more consistent, data-driven underwriting and pricing decisions using loan-level probability of default (PD) and loss given default (LGD) insights as analytical inputs. 

Presented by Edward McKeon, Senior Director, Private Markets & Assessments; Jasleen Uppal, Director, Credit & Risk Solutions; and Kevin John D'Lima, Director, Expert Judgement Solutions (Scorecards) APAC, the session walked attendees through S&P Global Market Intelligence's CREST Scorecard methodology and brought it to life with four practical Australian case studies.

Australia's CRE Market Demands Sharper Risk Assessment

Australia's private credit markets — particularly real estate lending — are facing heightened scrutiny. Recent high-profile cases, including insolvency proceedings involving long-established developers like Novati Constructions, underscore a critical truth: even seasoned operators are not immune to risk. Whether it's cost escalations, supply chain disruptions, or shifting market dynamics, lenders need robust, consistent frameworks to evaluate CRE loan risk at the individual asset level.

Introducing the CREST Scorecard: A Dual-Phase Approach to CRE Risk

The CREST (Commercial Real Estate Scoring Tool) Scorecard provides a structured methodology for assessing both the Probability of Default (PD) and Loss Given Default (LGD) of CRE loans.1 It applies across a broad range of property types — retail, industrial, office, hotel, residential, and land acquisition and development — and accommodates both recourse and non-recourse lending structures.

At its core, the framework evaluates two phases independently:

  • Construction Risk Profile — assessing completion risk, project complexity, contract structure, funding adequacy, and sponsor/developer strength to evaluate if the project construction would be completed on time and within budget or any credit negatives that could delay or increase cost for construction completion
  • Operations Risk Profile — evaluating property fundamentals, market conditions, financial risk (debt service coverage ratio (DSCR), loan-to-value (LTV), debt yield) and debt structure to enable lenders to assess the project’s viability from a performance, market and financial risk perspective.

The key credit dimensions of the CREST Scorecard framework are as follows:

Cryst Analytical Framework

The lower of the two scores of construction or operations profile becomes the Standalone Credit Profile (SACP), which is then adjusted for structural protection, sponsor support, and loan structure to arrive at the final assessment.

What the Methodology Evaluates — And Why It Matters

Construction Phase

The construction phase analysis focuses on whether a project will be adequately funded, completed on time, and within budget. Key factors include:

  • Time to build and stage of completion
  • Construction complexity — design risk, number of floors, adherence to building codes
  • Sponsor/developer experience — track record, subcontractor management, and creditworthiness of the developer.
  • Contract risk — how effectively cost and time overrun risks are transferred to the builder (engineering, procurement and construction (EPC), engineering, procurement and construction management (EPCM), construct, or cost-plus contracts)
  • Construction management — real-time assessment of budget and schedule adherence
  • Funding adequacy — whether sources (debt, equity, other) sufficiently cover all project costs, including contingency

Operations Phase

For income-producing or construction for sale properties, the operations phase examines:

  • Market risk exposure — Net Operating Income (NOI) growth, vacancy rates (benchmarked at the Australian state level), vacancy rate trends, and supply/demand dynamics
  • Property & environment characteristics — physical quality, location/market type (primary, secondary, tertiary), amenities, and local economic environment
  • Financial risk profile — DSCR, LTV, debt structure (amortising, bullet, or interest-only), debt yield (compared against S&P Global Market Intelligence's Australian base and stressed benchmarks), and refinancing risk
  • Sponsor strength — full recourse, partial recourse, or non-recourse assessments, including guarantor linkage, sponsor’s leverage, and net worth sufficiency, as well as likelihood of support.

A key feature is the Australia-specific benchmarking: vacancy rates and debt yields are calibrated using local property data, granularised to the state level — helping lenders make more consistent, like-for-like comparisons for properties in New South Wales, Victoria, Western Australia, and beyond.

LGD Framework: Quantifying Recovery Potential

The CREST LGD Scorecard uses a decision-tree model to estimate a property's standalone recovery potential (expressed as a percentage from 0% to 100%). Starting from an empirically derived base, LGD — built on multi-year historical loss data for real estate portfolios — the model adjusts for:

  • Property stage (permanent, transitional, construction, or land)
  • Collateral type (residential, office, retail, industrial, hotel, multifamily)
  • Collateral value and haircuts

Illustrative example of the decision tree LGD score derivation as follows:

LGD score derivation

Source: S&P Global Market Intelligence. As of 11 May 2026. For illustrative purposes only

The result is a tailored LGD estimate that reflects the specific risk characteristics of each loan based on the inputs and assumptions used.

Four Australian Case Studies2: From Stable Assets to Raw Land

The webinar brought the methodology to life through four illustrative scenarios, each highlighting different risk dimensions:

Case Study 1: Income-Producing Residential Property — Sydney (Score: a)

A 5-year-old, fully operational residential apartment in a prime Sydney location with a 5% vacancy rate, 47% LTV, a healthy DSCR of 1.35x, and full recourse to a strong sponsor. With stable cash flows and low market risk, this property achieved an ‘a’ score and an adjusted LGD of just 10%

Case Study 2: Construction-for-Sale Office Property — Perth (Score: bb)

An office building under construction in Perth's central business district, 75% pending completion, with 60% of units pre-sold. With a bullet repayment structure, ~70% LTV, and meaningful construction and market risk still present, this property was assessed at ‘bb’ — reflecting the elevated uncertainty inherent in development finance.

Case Study 3: Construction-for-Lease Industrial Property — Melbourne (Score: a−)

A cold storage facility under construction, 1.5 years from completion, with strong tenant quality and favourable lease terms. Despite being non-recourse (meaning no sponsor uplift), the property's superior financial metrics — including a debt yield of 9% that meets the stressed threshold and a robust DSCR of 1.6x — earned it an ‘a-’ score

Case Study 4: Land/Site Financing — Adelaide (Score: bb−)

A raw land purchase intended for a future retail mall, with no construction underway and no presales or pre-leases. This scenario carried the highest market risk exposure and a lack of visibility into construction-phase factors such as the developer’s experience, contract type and so on, resulting in a standalone b+ score — uplifted one notch to ‘bb-’ thanks to strong sponsor support. 

Audience Insights: What Lenders Are Telling Us

Live polling during the webinar revealed that attendees' portfolios are evenly split between construction and operational assets, with most lenders requiring higher presales or pre-leases as a risk-mitigation measure—a common response to recent developer distress in the Australian market. Residential and office properties dominated as the primary property types being financed.

Key Questions from the Audience

How does the scorecard account for builder risk?

The CREST Scorecard evaluates the contractor's experience, including their track record of delivering similar property types, ability to manage subcontractors, and — critically — their creditworthiness. For evaluating creditworthiness, S&P Global Market Intelligence's corporate scorecards, such as the ‘construction and engineering scorecard,’ are leveraged to assess the developer's creditworthiness through the construction stage, while also considering replaceability and credit enhancements. 

How are presales and pre-leases factored in?

The scorecard uses actual presale or pre-lease levels (based on contracted floor area with reputable buyers or tenants) as a direct input into the market risk assessment. Higher levels of committed presales or pre-leases reduce market risk exposure; conversely, a property with 0% presales (as in site financing) will carry the highest market risk.

A Global Scorecard with Local Precision

While the CREST Scorecard is a global tool — applicable to properties worldwide — its Australian benchmarks are built on deep, locally sourced property data, refined to the state level. For Australian lenders and funds with international portfolios, this means a single, consistent framework that works across geographies while reflecting the nuances of each market.

Ready to See the CREST Scorecard in Action?

If you'd like a personalised demo of the CREST Scorecard or want to explore how loan-level PD and LGD insights can support your CRE decisions, contact us today to speak with our team.

Missed the live session? You can access the full webinar replay on our Webinar Replay Portal.


1 S&P Global Ratings does not contribute to or participate in the creation of credit scores generated by S&P Global Market Intelligence. Lowercase nomenclature is used to differentiate S&P Global Market Intelligence PD credit model scores from the credit ratings issued by S&P Global Ratings.

2 The letter-grade outcomes referenced in these case studies are CREST Scorecard outputs and are not, and should not be construed as, credit ratings issued by S&P Global Ratings. Case Studies are illustrative examples for demonstration purposes only.