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.

Updated dailyRule-based, no black boxFully customisable
Strategy profile

Once enough history is available, the backtest chart for this strategy will appear here.

Methodology

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. Above the upper threshold: a high match with the profile.

Low matchMedium matchHigh match
low scorelower thresholdupper thresholdhigh score

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

The strategy

What is behind this strategy?

01
Does it earn more than its industry?

Return on assets (ROA) and cash-flow return are measured against the industry average, 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.

Top matches

Current Top Matches

After a free sign-up you see all metrics (P/E, ROE, margin …) per stock, including the live score history. We don't show individual metrics publicly for licensing reasons.
For whom

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.

Save & track this strategy
FAQ

Frequently asked questions

Is this based on the G-Score by Partha Mohanram?
Yes, the principle (binary, industry-relative quality criteria for growth stocks) goes back to Mohanram's research (2005). StockScorer implements five of the eight criteria with industry averages; 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 buy recommendation?
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.
Yannick HennDeveloper of StockScorer

Builds StockScorer as a solo developer. It started as a private tool for picking his own stocks and grew into a full scoring and backtesting platform. Focus: transparent, traceable rules instead of black-box ratings.

More on the methodology

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. If a company beats its industry average on returns on assets and cash flow, if operating cash flow covers profit, and if it invests above average in research and fixed assets, the high growth is fundamentally underpinned. Whoever scores below average everywhere is a crash candidate whose valuation rests on expectations alone.

How does the G-Score work?

Five binary criteria, one point each: return on assets (ROA) above the industry average, cash-flow return on assets (CFROA) above the industry average, operating cash flow above net income (earnings quality), R&D intensity above the industry average and investment intensity (CapEx relative to total assets) above the industry average.

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 4 points (small caps: 5); whoever reaches only 0 to 1 points is a classic crash candidate in the expensive segment.

The criteria at a glance

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

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

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

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 averages instead of the medians used in the original; with skewed distributions (single outliers) this can make criteria stricter or milder.

In the backtest no historical industry averages are available: the four industry-relative criteria are neutralised there, only earnings quality remains scoreable. The rule-coverage panel in the backtest scales the thresholds accordingly and discloses this transparently; the live scoring, by contrast, uses all five criteria.

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.