The Silent Crisis in Higher Education Finances

For most Australian universities, margins have become the silent challenge—slowly eroding year after year, often invisible until the impact becomes undeniable. Teaching margins, once healthy buffers that funded innovation and strategic priorities, are now squeezed thin or negative across many disciplines. Understanding why this happens—and more importantly, what to do about it—is one of the most critical strategic questions facing higher education leaders today.

The Slow Decline: Why Margins Erode Over Time

University margins don’t collapse overnight. They decline gradually through a combination of sector-wide pressures and internal drift:

Funding Indexation Lag: Government funding per student grows more slowly than cost inflation, particularly salary costs which represent a large percentage of total teaching expenditure. Even small annual gaps compound significantly over a decade.

Complexity Creep: Courses proliferate, class sizes fragment, support requirements expand, and administrative overhead grows. Each change adds cost in ways that rarely trigger a strategic review.

Cross-Subsidies Become Invisible: High-margin disciplines quietly subsidize loss-making programs. Over time, the subsidy patterns fossilize, hiding the true cost structure and making intervention harder.

Efficiency Gains Don’t Reach the Bottom Line: Process improvements and technology investments may reduce effort, but savings are rarely captured—they diffuse into expanded scope, more activities, or reduced class sizes.

Response Lag: By the time declining margins appear in annual reports, the underlying drivers have been in motion for years. Traditional financial reporting shows the symptom, not the cause.

The result? Universities find themselves with shrinking strategic flexibility, reduced capacity to invest in quality or innovation, and growing vulnerability to enrolment shifts or policy changes.

Starting with Pilbara Benchmarks: Finding the Signal in the Noise

The good news: you don’t need perfect data to start finding margin improvement opportunities. Benchmarking provides the essential first signal—highlighting where your cost structures differ materially from sector patterns.

Pilbara’s benchmarking approach focuses on comparative cost patterns at the Field of Education (FOE) level, revealing:

• Cost per EFTSL gaps: Which disciplines are significantly above or below sector averages?
• Salary vs. non-salary composition: Are high costs driven by staffing intensity or non-salary spend?
• Workload patterns: Are supplied teaching hours, delivery hours, or FTE ratios out of line with peers?
• Efficiency metrics: How do measures like EFTSL per Professional FTE or Academic Salary Percentage compare?

Margin per EFTSL is the key starting metric—the difference between attributed teaching revenue and allocated teaching cost per student load unit. Benchmarking shows which FOEs have margin gaps, and whether those gaps are primarily cost-driven, revenue-driven, or both.

What Benchmarking Reveals

For example, a university might discover:

• Engineering (FOE 03) costs $18,000 per EFTSL vs. sector average of $15,500—a 16% premium
• The gap is driven primarily by academic salary costs (55% of total vs. sector 48%)
• But supplied teaching hours are close to sector norms, suggesting the issue isn’t raw workload volume

This insight immediately narrows the search: the margin challenge in Engineering isn’t about inefficient teaching models or excessive contact hours. It’s about who is teaching and how academic effort is structured—questions that require looking inside the cost drivers, not just at the aggregate.

And that’s where benchmarking reaches its limit.

From Benchmarks to Action: The Power of the Full Pilbara Insights Model

Benchmarks identify where margin gaps exist. But improving margins requires understanding why—and that demands a different kind of analysis.

Pilbara’s Activity-Based Costing (ABC) framework, powered by Pilbara Insights, provides the nuanced internal view needed to move from insight to action. The model traces the full chain: resources → activities → products, allowing you to see:

1. Activity-Level Cost Drivers

Rather than just “academic salary costs are high,” the Pilbara Insights model shows:

• Which specific teaching activities drive cost (preparation vs. delivery vs. admin vs. student support)
• How effort is distributed across unit types, levels, and delivery modes

A typical finding: high-level electives with small enrolments consume senior academic time for preparation and delivery at costs far exceeding revenue, while core first-year units run efficiently at scale.

2. Product-Level Margins

Benchmarking operates at FOE level. The full model drills to:

• Individual units/subjects instances (when, where and how they are taught)
• Programs/courses
• Campus
• Degree levels (undergraduate vs. postgraduate coursework)

This reveals intra-FOE variation—even within a high-cost discipline, some programs recover costs while others subsidize their existence through cross-subsidy.

3. Resource Allocation Transparency

The model explicitly maps:

• How GL cost centers flow to teaching vs. research vs. service activities
• How academic and professional FTE allocate effort across products
• How space, depreciation, and support costs are distributed using transparent drivers (EFTSL, usage, square metres)

This makes previously invisible allocation assumptions visible and testable. If Engineering’s high costs are driven by space, that suggests a different intervention than if they’re driven by senior academic teaching loads.

4. Embedding Continuous Improvement

The full model isn’t a one-off analysis. It becomes an operational tool:

• Annual refresh as new data flows in (finance, HR, timetabling, student load)
• Tracking margin trends over time within disciplines
• Monitoring the impact of efficiency initiatives
• Informing budget strategy, pricing decisions, and course approvals

Universities with operational ABC models embed cost consciousness into everyday decision-making, rather than discovering margin problems years after they begin.

The Journey: Benchmark to Model to Margin Improvement

The path to sustainable margin improvement follows a clear sequence:

Step 1: Benchmark Identify where your cost structures and workloads diverge from sector patterns. Focus on FOEs with the largest margin or workload gaps (positive or negative) and the greatest strategic importance.

Step 2: Diagnose Use the full Pilbara Insights model to understand the drivers. Is it staffing mix? Activity patterns? Class sizes? Space and support allocations? The model makes the invisible visible.

Step 3: Prioritize Not all margin/workload gaps are created equal. Focus on areas where:

• The financial impact is material
• The intervention is operationally feasible
• The change aligns with strategic priorities (e.g., don’t optimize away a discipline you’re trying to grow)

Step 4: Intervene Design and test changes using scenario modelling. Common interventions include:

• Curriculum rationalization (reducing low-enrolment electives)
• Teaching model redesign (balanced use of permanent and sessional staff)
• Class size optimization (removing inefficient fragmentation)
• Space and timetabling efficiency (better utilization of physical assets)
• Reallocation of academic effort away from low-priority activities

Step 5: Monitor Embed margin metrics into regular reporting. Track improvement over time. Ensure gains are locked in, not diffused back into complexity creep.

The Bottom-Line Impact

For a typical university, a 5-10% improvement in average teaching margins across the institution could translate to:

• $10-30 million or more in recurring financial benefit annually
• Restored strategic flexibility to invest in quality, infrastructure, or new programs
• Reduced vulnerability to enrolment volatility or policy shocks
• Improved long-term financial sustainability

More importantly, margin improvement driven by activity-based insights tends to be operationally sustainable—it’s built on transparency, efficiency, and deliberate design, not arbitrary cuts or short-term savings that rebound within a year or two.

Starting the Conversation

If your institution is experiencing margin pressure—or if you simply want to understand where your cost structures sit relative to the sector—benchmarking is the natural first step. It provides the signal, highlights the priorities, and focuses the conversation.

But the real transformation comes when you move from knowing where the gaps are to understanding why they exist—and that requires the depth, transparency, and analytical power of a full activity-based costing model.

Pilbara’s benchmarking and Pilbara Insights modelling framework provides both: the sector context to identify opportunities, and the internal intelligence to act on them.

Because in a sector where margins are slowly declining, the universities that thrive will be the ones that see the full picture—and use it to make smarter, more deliberate choices about where resources go and what returns they generate.

In the next post we will walk through a worked example using our demo university – Insights University.

Ready to explore your institution’s margin opportunities? Contact us at benchmarks@pilbaragroup.com to discuss participation in the benchmarking program or to learn more about implementing a full Pilbara Insights model.

We are also currently inviting universities to our Private Preview of the benchmarks, which are a reduced sampling of 2-digit FoEs and metrics but still includes the Pilbara Intelligence AI agent. You can request access to the Private Preview here: Pilbara Benchmark Explorer