How to Value ASX Bank Stocks When Rates Are Rising

Two investors look at the same ASX bank share. One checks the price-to-earnings ratio, sees a number well below the sector average, and concludes the stock is cheap. The other runs a dividend discount model, plugs in a conservative growth rate, and arrives at a fair value 40% higher than the current price. Both used legitimate tools. Both followed reasonable steps. Yet their conclusions sit so far apart that one would buy and the other would pass. The gap is not a flaw in either method; it is a feature of how bank stock valuation works when the inputs are live and contested. With the RBA cash rate at 4.35% following the 6 May 2026 hike, those inputs are shifting in real time. This guide walks through the two most common quantitative approaches to valuing ASX bank shares, explains how franking credits create a genuine fork in the calculation, and shows why neither method should be used alone to make an investment decision.

What the PE ratio actually measures (and where bank stocks break it)

The price-to-earnings ratio is one of the simplest tools in equity analysis. It divides the current share price by annual earnings per share, producing a single number that represents how much an investor pays for each dollar of profit. A PE of 12 means the market is pricing the stock at 12 times its annual earnings.

The ratio becomes useful when compared across peers. If a bank trades at a PE well below the sector average, it may represent value. If it trades well above, investors are either paying a premium for quality or overpaying for hype. The technique is straightforward: calculate the PE, compare it to peers, and use the sector average to estimate what a “normally priced” version of the stock would cost.

Bendigo and Adelaide Bank (ASX: BEN) illustrates this. At a trading price of $10.49 with FY24 earnings per share of $0.87, BEN’s trailing PE sat at approximately 12x. The Big Four sector average on FY24 earnings was closer to 14-15x. Using a sector average of roughly 18x (which includes CBA’s structural premium), a sector-adjusted estimated value for BEN would be approximately $15.70 per share.

That figure looks compelling. It is also potentially misleading.

Trailing PEs are distorted by credit cycle positioning. Higher loan loss provisions compress earnings per share, inflating the PE optically. One-off remediation charges and restructuring costs do the same. Raw cross-bank comparisons using a single reporting period can mislead investors who read the number literally.

PE ratio limitations for ASX banks become especially pronounced when NIM trajectories are diverging across the sector, because a compression in net interest margin that has already played out at one bank will appear in current earnings but will not yet be visible in a trailing multiple calculated from an earlier reporting period.

Why CBA’s premium PE is not the same as being expensive

CBA has traded near 19x FY24 earnings, well above the sector average. Applying the sector-average PE to CBA would imply the stock is overvalued. That conclusion ignores the qualitative differentiation the ratio cannot capture: structurally higher return on equity, a technology platform that peers have not matched, and a franchise quality that the market has consistently priced at a premium for years. The higher multiple reflects perceived lower risk and superior earnings quality, not irrational exuberance.

“A low PE can reflect genuine undervaluation or genuine problems. The ratio alone cannot tell you which.”

The dividend discount model: the formula, the inputs, and a worked example

The dividend discount model takes a different approach. Instead of comparing price to earnings, it asks a forward-looking question: what is this stream of future dividends worth to me today?

The formula is straightforward once the inputs are understood.

Price = D1 / (r – g)

The estimated share price equals the annual dividend divided by the difference between the required return and the expected dividend growth rate.

Three inputs drive the calculation, and each one deserves careful selection:

1. Identify the dividend (D1). This is the annual dividend per share expected over the next 12 months. For a bank with a stable payout history, last year’s declared dividend is a reasonable starting point. BEN declared a full-year ordinary dividend of $0.56 per share (fully franked) in its FY24 results, announced 12 August 2024.
2. Set the discount rate (r). This is the annual return the investor requires to justify holding the stock. It is anchored to the risk-free rate. With the RBA cash rate at 4.35% as of May 2026, adding a 4-6% equity risk premium produces a starting range of approximately 8.35-10.35%. A practical floor of 8-10% is widely used among Australian retail education sources.
3. Set the growth rate (g). For mature Australian banks, the long-run terminal growth consensus sits at 1-2%, with a 3-4% rate sometimes used for a three-to-five-year horizon before fading to the terminal figure.

Banks are particularly suited to DDM analysis. They are mature, regulated, dividend-paying businesses with relatively predictable payout histories. The model’s assumption of ongoing dividends is less heroic for a major bank than for a growth company that may never pay one.

Using BEN’s $0.56 dividend, a 9% discount rate, and a 3% growth rate, the DDM produces an estimated fair value of approximately $9.33 per share. Change the discount rate to 8% and the output shifts to $11.20. The sensitivity is immediate and material, a point the guide returns to shortly.

How franking credits change the valuation calculation for Australian investors

Franking credits are not a bonus on top of the analysis. They are a variable that materially changes the output depending on who is doing the calculation.

When a bank declares a fully franked dividend, it means the company has already paid 30% corporate tax on the profit from which that dividend was distributed. An Australian resident taxpayer receives a tax credit for that amount, which either reduces their tax bill or generates a refund.

The gross-up calculation converts the cash dividend into its pre-tax equivalent:

The franking credit gross-up formula converts a cash dividend into its pre-tax equivalent by dividing the cash amount by 0.70 at the 30% corporate tax rate, a calculation that holds for fully franked dividends but must be adjusted where franking is partial or where the investor cannot utilise the credits.

1. Identify the grossing-up factor. At a 30% corporate tax rate, the factor is: cash dividend divided by 0.70.
2. Apply it. A $0.56 cash dividend from a fully franked distribution implies a gross dividend of approximately $0.80.

Plugging the grossed-up figure into the DDM instead of the cash dividend produces a materially higher fair value estimate. Research modelling from Rask Invest illustrated this clearly with BEN: using the researcher’s adjusted dividend figures, the DDM produced $13.32 on a cash dividend basis and $19.64 on a grossed-up basis. The gap between those two numbers is not rounding error. It is a genuine fork in the methodology.

“The same DDM formula can produce two materially different valuations for the same share depending solely on the investor’s tax position.”

When not to gross up for franking

The gross-up applies to taxable Australian resident investors, particularly those at the 30-47% marginal tax rate brackets who can utilise the credits. Foreign investors cannot claim Australian franking credits and should use the cash dividend only.

Super funds in pension phase receive cash refunds on franking credits, but the mechanics differ from the standard retail calculation. Investors in this category should seek tax-specific advice rather than applying the standard gross-up formula.

The recommended approach is to run both calculations, with and without the gross-up, to understand how sensitive the valuation is to tax treatment.

Sensitivity analysis: why DDM outputs are a range, not a number

A single DDM output is not a fair value. It is one point on a surface that shifts dramatically with small changes in assumptions.

Changing the discount rate from 9% to 11%, or adjusting dividend growth by 1-2 percentage points, can move the DDM fair value by 30-40%. Research modelling on BEN demonstrated the extremes: using the researcher’s inputs, the range stretched from $7.22 (at an 11% discount rate with 2% growth) to $32.50 (at a 6% discount rate with 4% growth). The spread between those figures is wider than many investors expect from what appears to be a simple formula.

The sensitivity of macro assumptions in bank valuation is illustrated sharply by NAB, where the same model produces a fair value range from $19.00 to $85.50 depending entirely on the growth and discount rate inputs chosen, a spread that dwarfs the typical premium-to-discount gap observed in standard PE comparisons across the sector.

The following illustrative matrix shows how fair value estimates shift across plausible assumption combinations for a hypothetical bank share paying a $0.56 annual dividend:

The table makes the sensitivity visible. A two-percentage-point shift in the discount rate, holding growth constant at 2%, moves the output from $9.33 to $6.22. That is a 33% decline in estimated fair value from an input change well within the range of reasonable disagreement.

Multiple sources, including Rask Media, Morningstar, and AFR commentary, describe the DDM as “a compass, not a GPS”: useful for directional thinking about whether a stock looks broadly over- or undervalued, but not reliable as a single-point estimate.

With the RBA resuming hikes in May 2026, anchoring a DDM to a single discount rate is especially risky. The input itself is in motion. Running at least three discount rate scenarios (8%, 9%, 10%) across at least three growth rate scenarios (1%, 2%, 3%) and treating the matrix as a valuation range is the recommended practice.

What quantitative models cannot see

PE ratios and DDMs process numbers. They do not process judgment. The gap between a model output and an investment decision is filled by factors the formula was never designed to capture.

Four forces sit outside both frameworks for Australian banks:

• Housing market trajectory and unemployment trends, which drive credit quality and loan growth
• APRA capital requirement changes, including the “unquestionably strong” benchmarks that constrain leverage, return on equity, and sustainable dividend capacity
• Competitive dynamics from mortgage discounting and fintech challengers that pressure margins
• Technology investment cycles that affect long-run earnings quality and cost-to-income ratios

APRA’s capital requirements deserve particular attention. Higher regulatory capital buffers reduce available leverage and constrain return on equity in ways that directly affect sustainable dividend capacity. Standard retail DDM models rarely account for this explicitly. According to Rask Invest commentary, comprehensive bank analysis can require well over 100 hours of qualitative work before financial modelling begins.

APRA’s unquestionably strong capital framework sets the CET1 ratio benchmarks and capital buffer requirements that constrain how much leverage Australian banks can carry, placing a structural ceiling on return on equity that standard PE or DDM models do not automatically reflect.

Using models as a hypothesis, not a verdict

A DDM or PE analysis that suggests a stock looks cheap is a reason to investigate further. It is not a reason to buy.

The investigation phase covers the qualitative factors listed above and typically involves reading annual reports, APRA regulatory updates, and broker research with a critical lens. A model output that survives that scrutiny is worth considerably more than one that has never been tested against it.

Bank valuations in a 4.35% rate world: what the current environment changes

The RBA cash rate sits at 4.35% following the 6 May 2026 hike. That decision reversed the rate-cutting narrative that had dominated market commentary through early 2025. For investors applying the methods in this guide, the rate environment changes both the inputs and the confidence with which those inputs can be set.

The RBA’s May 2026 rate decision reversed a rate-cutting narrative that had dominated market commentary through early 2025, with eight of nine Board members voting for the hike and forward guidance language that preserved full optionality on a fourth move at the July meeting.

The RBA’s May 2026 cash rate decision confirmed the target rate at 4.35 per cent, providing the risk-free rate anchor that directly feeds into the discount rate range any DDM applied to Australian bank shares must incorporate.

Higher rates create two opposing forces for bank valuations:

• Net interest margin tailwind. Elevated rates support the spread between what banks charge borrowers and pay depositors, boosting near-term earnings.
• Discount rate headwind. Higher risk-free rates push up the required return in any DDM, compressing fair value estimates for the same dividend stream.

The resumed hiking cycle makes the discount rate input particularly important to stress-test. A discount rate that was appropriate six months ago may understate the current required return. With term deposits paying above 4%, discount rates below 8% for bank DDMs are not defensible in the current environment. The implied range of 8.35-10.35% (cash rate plus a 4-6% equity risk premium) provides a principled starting point that readers can update as monetary policy shifts.

“FY24 figures are now approximately 18 months old. Always verify current PE multiples and DPS figures from the latest ASX announcements before applying these methods to a live decision.”

The FY24 PE and dividend data cited throughout this guide was reported in 2024. FY25 results are available from multiple banks. Readers should verify current figures from ASX announcements and bank investor relations pages (CBA, WBC, NAB, ANZ, BEN) before applying any worked examples to live investment decisions.

A model is a starting point, not an answer

PE ratios and DDMs are both useful. Both are limited. Used together, with explicit acknowledgment of their inputs and assumptions, they help investors identify stocks worth investigating. Used carelessly, they produce false precision that feels like analysis but functions as guesswork.

The practical framework for applying these methods to ASX bank shares involves a consistent sequence:

1. Identify the current annual dividend from the most recent ASX announcement.
2. Set a discount rate range anchored to the current RBA cash rate plus a 4-6% equity risk premium.
3. Run a sensitivity matrix across at least three discount rates and three growth rates.
4. Run both franked and unfranked DDM versions and understand which applies to the investor’s own tax circumstances.
5. Compare to the sector PE, noting structural premiums (such as CBA’s) and credit cycle distortions.
6. Investigate qualitatively by reading annual reports, APRA updates, and broker research before acting on any model output.

The franking credit fork means the same share is worth a different number depending on who is holding it. The sensitivity matrix means the same formula produces a range, not a point. Both realities argue against treating any single output as a target price.

In a rate environment where the RBA is actively hiking, both the earnings outlook for banks and the appropriate discount rate are in motion. Models built today should be revisited when the rate environment shifts. The investor who treats a DDM output as a hypothesis to test, rather than a verdict to act on, is using the tool the way it was designed to be used.

This article is for informational purposes only and should not be considered financial advice. Investors should conduct their own research and consult with financial professionals before making investment decisions. Past performance does not guarantee future results. Financial projections are subject to market conditions and various risk factors.