Strategy profile

Mohanram G-Score: Growth Quality – Backtest & Top Stocks 2026

Highly valued growth stocks fall the deepest when the substance is missing. The G-Score checks whether the growth is fundamentally backed.

Save the strategy and StockScorer checks its rules for you every day. You'll get a heads-up whenever a stock crosses the upper or lower score threshold.

✓ Refreshed daily✓ Rule-based: no black box✓ Fully customisable
Total return in the backtest10 years to Q2 2026
Strategy
+264.5%
MSCI World
+240.1%

Gap to MSCI World: +24.3 percentage points total, +0.8 per year

79156232309386StartQ2 2017Q3 2018Q4 2019Q1 2021Q2 2022Q3 2023Q4 2024Q2 2026StrategyBenchmark (MSCI World)

Index, start = 100

Past performance is not a reliable indicator of future results.

+13.8%Return p.a. (backtest)
+0.8 ppvs. MSCI World p.a.
16,182Stocks analysed
SmallMidLargeCap classes
Classification of all stocks as of the latest data

What the profile looks like today

As of 11/15/2026
1,048High
3,271Medium
170Low
Classification in the universe
High 6%Medium 20%Low 1%Not rated 72%

Based on all 16,182 stocks with a score. Not rated are stocks that the profile does not classify because of a size limit or an exclusion rule.

Distribution of scores in the market
0
+1
+2
+3
+4
+5
Score distribution as a data table
ScoreNumber of stocksHigh matchMedium matchLow matchNot rated
01,16700170997
+14,713084903,864
+25,04601,26903,777
+33,15001,15301,997
+41,951941001,010
+51551070048
Countries of the high-match stocks
CN 35%US 25%TW 10%CH 10%KR 5%Other 15%
How rules turn into a score

How the scoring works

Every stock runs through the same disclosed rules. The points add up to a score, traceable down to the individual rule.

01
Rules

Each rule checks a metric against a threshold, here for example “Return on assets above industry average (ROA)”.

02
Points & weighting

In this profile, each rule that is met counts +1 point. Exclusion rules take a stock out of the rating regardless of its points: it is then not rated.

03
Score & classification

The sum is the score. That gives three classes: high, medium, low match.

Low match
< 1 points
Medium match
1 – 3 points
High match
≥ 4 points

These terms describe only the match with the criteria, not a recommendation to buy or sell.

What the strategy measures a stock against

What is behind this strategy?

Profile of a stock with a high match
High match · Profitability: 100%High match · Growth: 100%High match · Valuation: 100%Market average · Profitability: 48%Market average · Growth: 30%Market average · Valuation: 28%50%100%ProfitabilityGrowthValuationHigh matchMarket average
01
Does it earn more than its industry?

Return on assets (ROA) and cash-flow return are measured against the industry median, not absolute thresholds.

02
Is the profit real?

Operating cash flow must exceed net income: book profits without cash coverage do not count.

03
Does it invest in the future?

Above-average R&D and capital expenditure depress today's profits but secure tomorrow's market position.

04
Is the industry the right yardstick?

All comparisons run sector-relative: a software stock is measured against software, not utilities.

Excerpt from the rule profile

These exact rules run over every stock daily.

4 of 6 rules
Price-to-Book Ratioisat least3+0 ptsExclusion
Return on Assetsisgreater thansector median+1 pts
Cash-flow return on assetsisgreater thansector median+1 pts
Operating Cash Flowisgreater thanNet Income+1 pts
+ 2 more rules in the profile

After signing up for free, you can copy the full profile in the rule editor, adjust its thresholds, and save it as your own starting profile.

See and copy all rules for free
What the backtest shows, and what it does not

How has the profile performed?

Strategy: +264.5%Benchmark (MSCI World): +240.1%
79156232309386StartQ2 2017Q3 2018Q4 2019Q1 2021Q2 2022Q3 2023Q4 2024Q2 2026StrategyBenchmark (MSCI World)

Index, start = 100

The backtest shows a total return of +264.5%. The MSCI World reaches +240.1% over the same period.

+13.8%Return p.a.
+13.0%Benchmark p.a.
-12.0%Largest decline
1.09Sharpe Ratio
Spread by start date

The same strategy with the same settings, started at every possible date. Each dot is a separate run over 5 years.

5%10%15%20%25%Start Q2 2016: 17.3% p.a., MSCI World 13.5% p.a.Start Q3 2016: 17.8% p.a., MSCI World 13.2% p.a.Start Q4 2016: 24.1% p.a., MSCI World 13.8% p.a.Start Q1 2017: 18.5% p.a., MSCI World 11.8% p.a.Start Q2 2017: 15.4% p.a., MSCI World 9.9% p.a.Start Q3 2017: 13.4% p.a., MSCI World 9.4% p.a.Start Q4 2017: 16.3% p.a., MSCI World 8.7% p.a.Start Q1 2018: 11.7% p.a., MSCI World 11.0% p.a.Start Q2 2018: 18.1% p.a., MSCI World 10.6% p.a.Start Q3 2018: 17.3% p.a., MSCI World 9.5% p.a.Start Q4 2018: 27.4% p.a., MSCI World 13.8% p.a.Start Q1 2019: 18.9% p.a., MSCI World 13.2% p.a.Start Q2 2019: 14.8% p.a., MSCI World 13.3% p.a.Start Q3 2019: 14.5% p.a., MSCI World 12.8% p.a.Start Q4 2019: 11.5% p.a., MSCI World 13.0% p.a.Start Q1 2020: 14.6% p.a., MSCI World 16.8% p.a.Start Q2 2020: 12.0% p.a., MSCI World 13.7% p.a.Start Q3 2020: 8.9% p.a., MSCI World 14.6% p.a.Start Q4 2020: 8.4% p.a., MSCI World 13.4% p.a.Start Q1 2021: 5.3% p.a., MSCI World 10.8% p.a.Start Q2 2021: 13.2% p.a., MSCI World 12.5% p.a.Q2 2016Q4 2018Q2 2021
  • Strategy
  • MSCI World
  • Median 14.8%
Median
14.8%
Mean
15.2%
Range
5.3% to 27.4%
Standard deviation
5.0 percentage points
Ahead of MSCI World
15 of 21 runs

The periods overlap heavily, neighbouring runs share almost all periods. The spread therefore looks smaller than it would for independent periods. Past results say nothing about future ones.

Strategy calculated without fees and taxes, dividends reinvested.

Point-in-time composition since June 30, 2009: each period uses the members at that time. Stocks that left the market early may be missing, which favours the result.

Historical period, quarterly rebalancing. Past performance is not a reliable indicator of future results.

Which stocks fit best today

Stocks with a High Match

Purely mechanical rule application, no curated-list effect: stocks with a high match can fall just like any other stock.

P/E, P/B, ROE and equity ratio are already visible publicly per stock. After signing up for free, you'll see additional metrics such as margin and debt, plus the live score history.
The way of working this profile suits

Who is this strategy for?

For growth investors who do not avoid expensive stocks but want a safety net: the G-Score answers whether fundamental strength stands behind the high valuation or just a story.

Adopt this strategy for free
What people usually ask before starting

Frequently asked questions

Is this based on the G-Score by Partha Mohanram?
Yes, the principle (binary, industry-relative quality criteria for growth stocks, applied to the lowest book-to-market quintile) goes back to Mohanram's research (2005). StockScorer implements five of the eight criteria, reconstructs the quintile via a P/B gate, and, like the original, compares against industry medians; the deviations are documented.
Why does high R&D spending count positively?
Because in the expensive market segment it is the best signal for sustainable growth: R&D and investment depress today's profit but build tomorrow's market position. A growth stock investing less than its industry is living off the past.
Is this a recommendation to act?
No. StockScorer provides automated, rule-based assessments for information only. Nothing here replaces individual financial advice or constitutes a solicitation to buy or sell securities.
Can I use absolute instead of industry-relative thresholds?
Yes. After free registration you can copy the profile and rebuild it in the rule editor: every industry comparison can be replaced by a fixed threshold.

Method & Criteria

While the classic 9-point balance-sheet check was developed for cheaply valued stocks, the G-Score targets the opposite: highly valued growth stocks. Partha Mohanram showed in 2005 that winners can be separated from "fallen stars" in the expensive market segment too: with binary criteria relative to the industry, applied exclusively to the lowest book-to-market quintile, meaning classic growth names with a high P/B. StockScorer reconstructs that quintile through an exclusion rule on a P/B from 3. If a company beats its industry median on returns on assets and cash flow, if operating cash flow covers profit, and if its research and capital investment sit above the industry midpoint, the high growth is fundamentally underpinned. Whoever scores below the industry midpoint everywhere is a crash candidate whose valuation rests on expectations alone.

How does the G-Score work?

An exclusion rule admits only growth stocks: a P/B from 3 (an approximation of Mohanram's lowest book-to-market quintile; a stock without a P/B is not scoreable). Only then do five binary criteria count, one point each: return on assets (ROA) above the industry median, cash-flow return on assets (CFROA) above the industry median, operating cash flow above net income (earnings quality), R&D intensity above the industry median and investment intensity (CapEx relative to total assets) above the industry median.

The investment criteria are the clou of the model: high R&D and CapEx spending depresses current profit, conservative accounting therefore punishes exactly the companies investing most in their future. The G-Score turns that around and treats above-average investment as a quality signal. The upper threshold is a uniform 4 points across all size classes (Mohanram's paper finds size irrelevant); the lower threshold is 1 point, closer to the original (0 to 1 of 8 criteria as a short candidate) than the previous threshold of 2.

The criteria at a glance

Growth gate (exclusion rule): P/B from 3, an approximation of the original's lowest book-to-market quintile.

Profitability: (1) ROA above the industry median, (2) CFROA above the industry median.

Earnings quality: (3) operating cash flow above net income.

Investment: (4) R&D spending relative to total assets above the industry median, (5) CapEx relative to total assets above the industry median.

Strengths, limits and deviations from the original

Documented deviations: five of the eight original criteria are implementable, advertising intensity and the variances of returns and sales are dropped for lack of data; the thresholds are scaled from 8 to 5 criteria accordingly. Comparisons run against industry medians, as in the original: the median is robust against single outliers that would distort a mean in skewed distributions (such as R&D intensity).

Fidelity update as of 23 August 2026: the growth gate (P/B from 3) bounds the universe on the lowest book-to-market quintile as in the paper, the lower threshold is lowered from 2 to 1 point (closer to Mohanram's own 0-to-1-of-8 short candidacy), and the cap thresholds are unified because size plays no role in the paper.

In the backtest, the industry-relative criteria are evaluated on each rebalancing date against the industry median of the stocks that belonged to the chosen universe at that time, using the figures published by then. Two caveats: sector assignment has only been historised since September 2026 (earlier periods use the sector recorded when tracking began), and industries with fewer than 20 stocks in the universe count as missing. The rule-coverage panel in the backtest scales the thresholds proportionally for missing values and discloses this transparently.

Who is this strategy for?

For growth investors as a quality filter over the expensive market segment, ideal combined with a momentum or Rule-of-40 view that measures the growth itself.