New · 16,265 stocks are re-scored daily. The score updates automatically.
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 backtestAvg. +14.4 % p.a.
+282.5 %

MSCI World over the same period: +240.1 %

Start: Strategy 100Q2 2016: Strategy 100Q3 2016: Strategy 105Q4 2016: Strategy 113Q1 2017: Strategy 119Q2 2017: Strategy 120Q3 2017: Strategy 120Q4 2017: Strategy 127Q1 2018: Strategy 121Q2 2018: Strategy 128Q3 2018: Strategy 138Q4 2018: Strategy 123Q1 2019: Strategy 139Q2 2019: Strategy 140Q3 2019: Strategy 145Q4 2019: Strategy 159Q1 2020: Strategy 142Q2 2020: Strategy 163Q3 2020: Strategy 161Q4 2020: Strategy 177Q1 2021: Strategy 198Q2 2021: Strategy 213Q3 2021: Strategy 214Q4 2021: Strategy 234Q1 2022: Strategy 223Q2 2022: Strategy 207Q3 2022: Strategy 214Q4 2022: Strategy 223Q1 2023: Strategy 231Q2 2023: Strategy 225Q3 2023: Strategy 221Q4 2023: Strategy 236Q1 2024: Strategy 248Q2 2024: Strategy 265Q3 2024: Strategy 289Q4 2024: Strategy 314Q1 2025: Strategy 301Q2 2025: Strategy 307Q3 2025: Strategy 333Q4 2025: Strategy 324Q1 2026: Strategy 332Q2 2026: Strategy 38377159241323405StartQ1 2021Q1 2026Q2 2026StrategyBenchmark (MSCI World)

Past performance is not a reliable indicator of future results.

+14.4 %Return p.a. (backtest)
+1.3 %vs. MSCI World p.a.
16,265Stocks analysed
SmallMidLargeCap classes
How the profile stands today

What the profile looks like today

As of 09/30/2026
1,280High
3,401Medium
11,584Low
Classification in the universe
High 8 %Medium 21 %Low 71 %
Distribution of scores in the market
0
+1
+2
+3
+4
+5
Score distribution as a data table
ScoreNumber of stocks
0877
+13,956
+25,198
+33,557
+42,236
+5441
Countries of the high-match stocks
CN 20%US 20%CH 15%SE 5%TW 5%Other 35%
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, for example ROE above 15 %.

02
Points & weighting

You decide how much each rule counts: from +1 to +3 or −1 to −3.

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
50%100%High match · Profitability: 100%High match · Growth: 100%High match · Valuation: 100%Market average · Profitability: 48%Market average · Growth: 39%Market average · Valuation: 30%ProfitabilityGrowthValuationHigh matchMarket average
High 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 a free sign-up: the full profile in the rule editor to copy, adjust thresholds and save as your own starting profile.

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

How has the profile performed?

Strategy: +282.5%Benchmark (MSCI World): +240.1%
Start: Strategy 100Q2 2016: Strategy 100Q3 2016: Strategy 105Q4 2016: Strategy 113Q1 2017: Strategy 119Q2 2017: Strategy 120Q3 2017: Strategy 120Q4 2017: Strategy 127Q1 2018: Strategy 121Q2 2018: Strategy 128Q3 2018: Strategy 138Q4 2018: Strategy 123Q1 2019: Strategy 139Q2 2019: Strategy 140Q3 2019: Strategy 145Q4 2019: Strategy 159Q1 2020: Strategy 142Q2 2020: Strategy 163Q3 2020: Strategy 161Q4 2020: Strategy 177Q1 2021: Strategy 198Q2 2021: Strategy 213Q3 2021: Strategy 214Q4 2021: Strategy 234Q1 2022: Strategy 223Q2 2022: Strategy 207Q3 2022: Strategy 214Q4 2022: Strategy 223Q1 2023: Strategy 231Q2 2023: Strategy 225Q3 2023: Strategy 221Q4 2023: Strategy 236Q1 2024: Strategy 248Q2 2024: Strategy 265Q3 2024: Strategy 289Q4 2024: Strategy 314Q1 2025: Strategy 301Q2 2025: Strategy 307Q3 2025: Strategy 333Q4 2025: Strategy 324Q1 2026: Strategy 332Q2 2026: Strategy 38377159241323405StartQ2 2017Q3 2018Q4 2019Q1 2021Q2 2022Q3 2023Q4 2024Q1 2026Q2 2026StrategyBenchmark (MSCI World)

The backtest shows a total return of +282.5%. The MSCI World reaches +240.1% over the same period.

+14.4%Return p.a.
+13.0%Benchmark p.a.
-11.5%Largest decline
+1.11Sharpe Ratio

Survivorship-free since June 30, 2015: the index composition is applied point-in-time.

Historical period, quarterly rebalancing, no taxes or fees. Past performance is not a reliable indicator of future results.

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, customise & track this strategy
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 a knockout 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?

A knockout gate 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 (knockout): 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.