9F Dividend Quality Scores : Factor 3 – Financial Strength

This article is the third in a series presenting 9F Dividend Quality Scores, my new quality scoring system that rates dividend stocks on a 10-point scale across nine weighted factors. Each factor blends qualitative assessments with quantitative metrics.

Here are the nine factors that contribute to the quality score of a stock:

1. Dividend Safety
   • Can the company pay the dividend now and in the near term?
   (Near-term risk)
2. Dividend Track Record
   • Has the company paid consistently in the past?
   (Historical proof)
3. Financial Strength
4. Earnings & Revenue Growth
5. Profitability & Earnings Quality
6. Risk-Adjusted Returns
7. Credit Rating & Capital Structure
8. Moat & Competitive Advantage
9. Governance & ESG

This article covers Factor 3: Financial Strength and focuses on the company's ability to maintain dividend payments during challenging economic conditions, such as recessions, credit crunches, or periods of significant capital investment.

The quality score maps to the quality labels and investment grades introduced in the first article:

My database now covers 722 dividend stocks across the eleven GICS sectors, down from 723 dividend stocks when I published the Factor 2 article. But the count differential hides a lot of churn:

• May 5, 2026
  • Added Commercial Metals (CMC)
  • Added Equity Bancshares (EQBK)
  • Added Magnolia Oil & Gas (MGY)
  • Added Suncor Energy (SU)
  • Added Triple Flag Precious Metals (TFPM)
• May 15, 2026
  • Removed CSG Systems International (CSGS) due to being acquired
  • Removed Coterra Energy (CTRA) due to being acquired
• May 24, 2026
  • Removed 15 OTC / Pink Sheet tickers
  • Added Ferrovial (FER)
  • Added Group 1 Automotive (GPI)
  • Added Ralph Lauren (RL)
  • Added Marriott Vacations Worldwide (VAC)
  • Renamed Bank of New York Mellon (BK → BNY)
• June 3, 2026
  • Added Enact (ACT)
  • Added Employers (EIG)
  • Added EPR Properties (EPR)
  • Added Exelon (EXC)
  • Added Marriott International (MAR)
  • Added Shell (SHEL)
  • Added Simon Property Group (SPG)
  • Added Strawberry Fields REIT (STRW)
  • Removed Flowers Foods (FLO) due to dividend cut
• June 13, 2026
  • Renamed Shoe Carnival (SCVL) to Shoe Station Group (SHOE)

When a company like FLO cuts its dividend, I remove its ticker from my database rather than have it rank at the bottom of the F2 distribution.

Why Financial Strength Matters

Companies cut dividends primarily because they run out of cash, not because they're unwilling to pay. Even the most committed management cannot sustain a payout if cash isn't available. To assess this risk, my quality scoring system considers two factors. Factor 1 focuses on cash flow to assess whether the current dividend is safe. Factor 3 examines the balance sheet to determine whether a company can withstand an economic downturn without cutting the dividend.

A strong balance sheet does more than withstand stress. It enables choices. Companies with low leverage and ample liquidity can acquire competitors, invest during downturns, and maintain dividend payments. Conversely, companies buried in debt become constrained by their debt: they must prioritize interest payments over dividends and face refinancing risk as market conditions deteriorate. In such scenarios, dividends are often the first expense to be cut.

Design Philosophy

Financial strength looks different for a bank than it does for a factory. Standard metrics like interest coverage, debt/EBITDA, the current ratio, and the Altman Z-score are perfect for industrial companies, but completely meaningless for deposit-funded banks or property-driven REITs.

For this reason, I split Factor 3 into two distinct scoring paths:

• Industrial Companies: Evaluated on a mix of qualitative and quantitative metrics.
• Financials & Real Estate: Evaluated strictly on their capital structure.

By design, this means a "fortress" mega-bank can actually have a poor Factor 3 score, a counterintuitive outcome we'll explore in the worked examples.

The Industrial Path: Leverage and Coverage

For industrial and services companies, balance-sheet strength comes down to leverage and coverage:

• Can operating earnings service the debt?
• How many years of earnings does the debt represent?
• Is there a near-term liquidity buffer to prevent outright distress?

Because major data providers already distill these exact questions into a single expert grade, the industrial path analyzes the balance sheet from two angles simultaneously: the expert verdicts and the underlying ratios that drive them.

The Financials and REITs Path: Capital-Structure

For banks and REITs, the risk dynamic is inverted: leverage isn’t a warning sign—it is the core business model. Banks use deposits to fund loans, and REITs use mortgages to fund properties. Because borrowing is the product, standard industrial metrics like debt-to-EBITDA are meaningless.

Instead, evaluating financial strength shifts to answering a vital question: How thick is the equity cushion supporting the assets?

By focusing strictly on this one dimension, capital adequacy, the need for a qualitative/quantitative split disappears. The capital-structure path simply uses a single blended score, precisely calibrated to what adequate protection means for these unique balance sheets.

Note: This path strictly measures the size of the equity cushion. Overall creditworthiness and agency ratings are intentionally left to Factor 7: Credit Rating and Capital Structure so the two signals do not blur.

The Metrics I Use

The two paths draw on different inputs, so I'll present each in turn.

The Industrial Path

For industrial companies, the Factor 3 score is split between a qualitative sub-score (out of 4.5 points) and a quantitative sub-score (out of 5.5 points). The qualitative side relies on two expert assessments that synthesize dozens of balance-sheet ratios into a single verdict. The quantitative side adds four specific metrics that supply the precise, objective detail behind those expert verdicts.

I use a 70/30 sector blend for all four quantitative metrics: 70% of the score is based on a piecewise-linear mapping of the metric's actual value, while the remaining 30% is based on the metric's sector percentile within the stock's GICS sector.

The scoring model includes one deliberate asymmetry: a company that holds more cash than debt automatically receives a perfect score of 1.0. Any net cash position is unambiguously positive for dividend safety, and I don't reward one company over another simply for having a larger cash hoard.

Qualitative Metrics (max 4.5 points)

Two independent expert assessments form the qualitative backbone.

GuruFocus [GF] Financial Strength Score

GuruFocus publishes a financial strength rank on a 10-point scale. It is a proprietary composite of debt ratios, liquidity, interest coverage, the Piotroski F-score, the Altman Z-score, and cash generation. It has the highest coverage and the most granularity of any single source I use here, so I assign it the largest qualitative weight, 0.55. The mapping to my internal 10-point scale compresses the bottom, so weak grades are penalized slightly more than a linear scale would:

A GF score of 4 maps to 3.0 and a 3 maps to 2.0, while a 5 jumps to 5.0. The discontinuity reflects that GF's lower ranks signal genuine balance-sheet concern, not just a modestly weaker peer.

ValueLine [VL] Safety Rank

VL Safety Rank ranges from 1 to 5, with 1 being the safest. It blends financial strength with price stability, and because it is independent of the GF Financial Strength Score, the two together are more reliable than either alone. I assign a qualitative weight of 0.45 because VL's coverage is lower than GF's coverage.

VL also has a separate Financial Strength Rating on an A++ to C scale. However, 62% of the 722 stocks in my database cluster around the B++/B+/B ratings. This narrow distribution adds very little analytical signal beyond VL Safety Rank and GF's highly granular 1-10 score.

Instead, I reserve VL Financial Strength Rating for Factor 7: Credit Rating & Capital Structure. There, it serves as a valuable backstop for the S&P Credit Rating, which covers only about 60% of the stocks in my database.

How the Qualitative Sources Combine

I compute a weighted average of the scores from available sources and apply a 10% penalty for missing data.

Since each component is scored out of 10 points, I combine them by a weighted average before scaling to the maximum qualitative sub-score of 4.5 points:

Here's the coverage of each source:

• GF_strength: 722 of 722 tickers (100%)
• VL_safety: 634 of 722 tickers (87.8%)

For the 88 tickers not covered by VL, I use the GF_strength exclusively and apply the 10% coverage penalty.

Quantitative Metrics (max 5.5 points)

For the quantitative metrics, I blend absolute and sector-relative scores in a 70/30 ratio and scale each score to an internal value of 0.00-1.00.

I use the following four balance sheet metrics to get the quantitative score:

Interest Coverage Ratio (2.0 points)

The Interest Coverage Ratio measures a company's ability to pay the interest on its outstanding debt. It answers the question: How many times over can the company's operating profits cover its current interest bill?

It is calculated using the following formula:

EBIT is Earnings Before Interest and Taxes, the company's operating profit found on the income statement.

The Interest Coverage Ratio is the most direct read on debt-service capacity, so it carries the greatest quantitative weight.

Negative or zero coverage scores 0.00.

Debt/EBITDA (1.5 points)

The Debt-to-EBITDA ratio measures a company's financial leverage and debt-servicing capacity. It answers the question: Roughly how many years of operating earnings would it take for a company to completely pay off its debt?

Debt includes both short-term debt (maturing within a year) and long-term debt (such as bonds and commercial loans) found on the balance sheet.

EBITDA is Earnings Before Interest, Taxes, Depreciation, and Amortization, as found on or derived from the income statement.

Net cash scores a flat 1.00.

Current Ratio (1.0 point)

The Current Ratio is a liquidity metric that measures a company's ability to cover its short-term obligations with its short-term assets. It answers the question: Does the company have sufficient cash, inventory, and receivables to pay its bills and debts due within the next 12 months?

It is calculated using the following formula:

Because it evaluates immediate financial health, the Current Ratio is often referred to as the liquidity buffer.

If the Current Ratio is not available, I use the Quick Ratio.

Altman Z-Score (1.0 points)

The Altman Z-Score is a multi-factor formula used to measure a company's bankruptcy risk. It answers the question: How close is a company to financial distress or outright insolvency within the next two years?

It combines five distinct financial ratios into a single weighted score that evaluates profitability, leverage, liquidity, solvency, and operational efficiency.

Note: The Altman Z-Score was calibrated specifically for manufacturing and industrial firms with physical inventory and tangible assets and is meaningless for Financials and Real Estate sector stocks.

The formula's output places a company into three zones, though I create subzones as shown in the table above:

• Safe Zone (> 2.99): The company has a strong balance sheet and is financially healthy. The probability of bankruptcy in the near term is extremely low.
• Gray Zone (1.81–2.99): The company shows moderate financial stress. While not in immediate danger of failing, it has a higher risk of distress and requires close monitoring.
• Distress Zone (< 1.81): The company exhibits severe financial red flags. It has a high statistical probability of entering bankruptcy within the next 24 months.

The Health-Grade Penalty

Finbox [FB] and GuruFocus [GF] each publish a Financial Health Grade by analyzing a wide range of metrics relative to the company's sector peers. The grade uses an A-F scale.

In my system, I use these grades as a penalty-only modifier, applied only to the bottom grades. Any D costs -0.5 and any F costs -1.5, applied independently per source.

This is the same penalty-only logic I use for red-flag signals elsewhere in my system.

How the Quantitative Sources Combine

I sum the weighted component scores, applying a 10% coverage penalty for any missing metrics. The sum of the component scores gives the final quantitative score out of 5.5 points:

The quantitative sources have 100% coverage, except for interest-coverage, which covers 434 out of 452 stocks (96%) in the industrials path. For those 18 stocks, I use the other three sources and scale them up to 5.5 points, applying a 10% penalty.

The Financials and Real Estate Path

As mentioned earlier, for stocks in the Financials and Real Estate sectors, capital adequacy is the primary concern for these balance sheets, and there's no need for a qualitative/quantitative split.

Banks are scored using the capital-to-asset ratio (weight: 0.7) and VL Safety Rank (weight: 0.3).

The capital-to-asset ratio measures a bank's financial stability and leverage by dividing Total Equity Capital by Total Assets. It measures the slice of the balance sheet funded by shareholders rather than by deposits and debt. That equity is the cushion that absorbs losses before depositors and creditors are affected.

I use an absolute scale anchored to regulatory capital bands.

G-SIBs (Global Systemically Important Banks) operate with a smaller equity cushion (6-7.5%) due to diversified funding, access to central banks, and intensive regulatory oversight. In contrast, regional banks (9-11%) and community banks (~11%+) require more cushion.

The regulatory minimum (5%) is treated as a passing floor, with a score of only 0.35. From there, the score rises rapidly to 0.85 in the 5-11% range and flattens above 11%.

The capital score is 70% of a bank's Factor 3 score, blended with VL Safety Rank at 30% (which uses the same mapping as with the industrial path). If the VL Safety is missing, the capital score carries it alone with the normal missing-data penalty.

Other Financials and REITs are scored using the leverage multiple (weight: 0.5), GF Financial Strength Score (weight: 0.3), and VL Safety Rank (weight: 0.2).

The leverage multiple is the inverse of the capital-to-asset ratio, and is scored on an industry-relative basis, as is the GF Financial Strength Score:

The 0.10 floor is what keeps the most-leveraged stocks reading as very weak rather than a literal zero. This is a deliberate contrast to how banks are scored, which assigns 0 to crisis-level capital-to-asset ratios.

The VL Safety Rank retains its absolute mapping, as with the industrial path.

Combining the Scores

For the industrial path, when both sub-scores are available, they sum directly:

• qual₃ (0-4.5) + quant₂ (0-5.5) = Factor 3 score ranging from 0 to 10

If only one sub-score were available, I would scale up the other sub-score and apply a 5% penalty.

I also calculate a factor confidence score: conf₃ = number of metrics ÷ 6, because Factor 3 relies on six different grades and metrics for the industrial path.

For the financials and real estate path, we have two scenarios:

• For Banks:
  • Factor 3 score = 5.0 × capital_score + 3.0 × VL_safety / 10.0
• For Other Financials and REITs:
  • Factor 3 score = 7.0 × leverage_score + 3.0 × GF_strength_score +
    2.0 × VL_safety / 10.0

The factor confidence score is:

• For Banks: conf₃ = number of metrics ÷ 2
• For Other Financials and REITs: conf₃ = number of metrics ÷ 3

Results: How the Scores Look

Let's now look at how the Factor 3 scores look for the 722 stocks in my database.

Distribution

Here is a chart showing the distribution of Factor 3 scores:

The distribution is left-skewed, with the median (6.66) above the mean (6.23) and a heavy shoulder from 6 to 9. That shape is expected for a dividend-growth-curated universe: most of these companies carry investment-grade balance sheets, which is why they have been able to grow their dividends for years. The lower tail is genuine, though. The companies scoring below 3.0 have leverage that Factor 3 flags regardless of how long their streaks are.

Of the 722 stocks, 452 are scored on the industrial path, 270 on the financials and real estate path (of which 120 are banks).

The Industrial Path: Fortresses and Heavily-Leveraged Stocks

Here are the highest Factor 2 scores in each GICS sector, with a breakdown of how they scored: 

A few observations:

• FAST is what a fortress looks like. Interest Coverage of 316× means effectively no meaningful debt to service, Debt/EBITDA of 0.23× is near net cash, and an Altman Z-Score of 31.00 saturates the bankruptcy model. Its Factor 3 score of 9.75 trails a perfect 10 only because its current ratio, strong as it is, leaves a sliver on the table after the sector blend. MSFT and JNJ tell the same story, one notch down: deep interest coverage, low leverage, and VL Safety Ranks of 1.
• AAPL is an instructive partial-coverage case. Apple has no usable interest coverage because its interest expense is swamped by interest income. As a result, the metric is dropped, and the quantitative half re-weights over the three remaining metrics. Confidence falls to 0.857, and the factor leans on what is available: a 0.50× Debt/EBITDA, an Altman Z-score of 12.14, and a VL rank of 2. The result, 6.98, is a reasonable read on a company with a strong balance sheet but a thinner current ratio and a missing input.
• The bottom of the table is where leverage bites. EMN at 4.63 is a moderately leveraged Materials stock: A 4.03× Debt/EBITDA and a 3.83× Interest Coverage are merely adequate, and the Altman Z-score of 2.68 falls in the grey zone.
• GATX scores 2.51 even though its business model is leverage: it borrows to buy railcars and leases them out. Debt/EBITDA of 10.6× and an Interest Coverage of just 1.25× mean operating earnings barely clear the interest bill, and Factor 3 scores that at face value.
• OXM scores 2.81 even though its Altman Z-Score (1.96) is not the worst, because its 15.93× Debt/EBITDA is deep in distressed territory and its FB Health Grade of D triggers the -0.5 penalty. These low scores are not noise. They are the Factor 3 factor doing its job: a long dividend streak does not refinance a balance sheet.

Utilities: The Sector Blend Helps, but does not Rescue

Utilities cluster in the 3-5 range on Factor 3 scores, and the reason is structural. High Debt/EBITDA (4.37-5.30×) and thin interest coverage (2.31-3.25×) are normal for regulated, rate-base-funded businesses, and a current ratio below 1.0 is routine.

The 70/30 sector blend keeps these stocks from scoring near zero because they are compared against other utilities on the percentile axis. But the absolute component still indicates high leverage, even by utility standards, which is why none of the three achieves a Factor 3 score of 5.0.

Note that all three hold a VL Safety Rank of 1. ValueLine considers them safe, low-volatility stocks, yet their balance-sheet leverage pulls the quantitative half down. That tension is exactly what Factor 3 is built to surface.

REITs: The Capital-Structure Path in Action

For REITs, the industrial quant columns are dropped, and the score is keyed to the leverage multiple on an industry-relative basis.

A few observations:

• VICI and O are conservatively financed REITs with leverage multiples of 1.65× and 1.81×, which are low for the sector, and they score near the top.
• NXRT is at the other extreme: a 6.76× leverage multiple is the most leveraged in the peer group, and a weak GF Financial Strength Score puts both percentile signals near the floor. That alone would leave it just above 1.0. However, its FB Health Grade of D then triggers the -0.5 penalty, dragging the final Factor 3 score down to 0.78. The floor is deliberate: relative-worst is not the same as crisis-level, so a name is never zeroed merely for ranking last.
• EQIX sits mid-pack at 5.73, with moderate leverage and a VL rank of 3 pulling it down from where its GF Financial Strength Score alone would place it.

Banks: The Factor's Signature Result

This is the table to dwell on. Banks are scored on the capital-to-asset percentage against regulatory bands, plus VL Safety Rank where available.

A few observations:

• IBOC, a Texas community bank, holds 19.5% equity against assets and has a Factor 3 score of 9.25.
• BMO, a G-SIB-class institution that almost any investor would call one of the safest banks on the continent, holds 5.7% and scores 4.08. On the same factor, the community bank more than doubles the global bank.
• That looks wrong until you remember what this factor measures. Factor 3 is capital cushion (how much equity stands between the bank and its liabilities), not creditworthiness. The big banks run thin capital ratios by design: regulatory efficiency, diversified funding, and central bank access let them operate safely with a smaller equity buffer than a community bank needs.
• Their AA-/A+ agency credit strength is real, and it is scored in Factor 7: Credit Rating & Capital Structure, deliberately kept out of this factor to prevent the two signals from blurring. IBOC's thick buffer is what Factor 3 rewards; JPM's pristine credit is what Factor 7 rewards.
• The three Canadian banks that show confidence of 0.500 carry no VL Safety Rank in my database, so they rest on the capital figure alone, which is why they sit a step below JPM and BAC. JPM (7.4%, VL Safety Rank 1) and BAC (8.6%, VL Safety Rank 2) are lifted by both a slightly thicker buffer and the VL Safety Rank signal.
• This is not something to be smoothed over: a thinly capitalized bank, however creditworthy, has a thinner equity cushion than a conservatively capitalized one, and an investor who wants to know about cushion should see that distinction rather than have it averaged away.

What's Next

Factors 1, 2, and 3 together form the safety foundation of the system: the near-term coverage of the dividend, the multi-decade record of delivering it, and the balance sheet that has to carry it through stress.

The next article moves from defense to offense. Factor 4: Earnings & Revenue Growth shifts the question from "can the business sustain today's dividend?" to "does it have the earnings power to grow it?"

That covers three of nine factors. The remaining articles cover profitability, risk-adjusted returns, credit, moat, and ESG, and the final article will reveal every factor weight and the distribution of the overall ranking of all the stocks in my database. Until then, these factor-by-factor articles are building the foundation so that when the full system comes together, every component will already be familiar.