Built Cybernetics (LSE:BUC) Mohanram G-Score: 2 (As of Mar. 2026) — 100% Above Median


What is Built Cybernetics Mohanram G-Score?

Built Cybernetics LSE:BUC -6.67% Mohanram G-Score is 2 as of Mar. 2026, which is 100% above its 10-year median of 1.00. The stock has 3 warning signs investors should review.

Mohanram G-Score is a financial indicator developed by professor Partha Mohanram to help investors find the best investment opportunities in the growth stocks. Companies have higher G-score tends to generate higher return. According to his study, the best growth stocks that have a G-Score greater than 6 tend to beat the market, while those with a G-Score lower than 1 tend to have negative absolute returns.

Thus, the zones of discrimination were as such:

Good or high score = 6, 7, 8
Bad or low score = 0, 1

Built Cybernetics has an G-score of 2.

The historical rank and industry rank for Built Cybernetics's Mohanram G-Score or its related term are showing as below:

LSE:BUC' s Mohanram G-Score Range Over the Past 10 Years
Min: 0   Med: 1   Max: 4
Current: 2

During the past 13 years, the highest Piotroski G-score of Built Cybernetics was 4. The lowest was 0. And the median was 1.

Built Cybernetics  (LSE:BUC) Mohanram G-Score Explanation

Partha Mohanram is the John H. Watson Chair in Value Investing at Rotman and the Acting Vice-Dean of Research Strategy and Resources.

In 2000, he wrote a research paper called "Separating Winners from Losers Among Low Book-to-Market Stocks Using Financial Statement Analysis".

This paper tests whether a strategy based on financial statement analysis of low book-to-market (growth) stocks is successful in differentiating between winners and losers in terms of future stock performance. Based on the research, a strategy based on buying high G-score (6, 7 or 8) firms and shorting low G-score (0 or 1) firms consistently earns significant excess returns. Further, the results do not support a risk based explanation for the book-to-market effect as the strategy returns positive returns in all years, and firms that ex-ante appear less risky have better future returns.

To conclude, one can use a modified fundamental analysis strategy (G-score) to identify mispricing and earn substantial abnormal returns.


Built Cybernetics Mohanram G-Score Related Terms


Built Cybernetics Mohanram G-Score Historical Data

* Premium members only.

The historical data trend for Built Cybernetics's Mohanram G-Score can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

Built Cybernetics Mohanram G-Score Chart

Built Cybernetics Annual Data
Trend Sep16 Sep17 Sep18 Sep19 Sep20 Sep21 Sep22 Sep23 Sep24 Sep25
Mohanram G-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only 2.00 2.00 2.00 1.00 2.00

Built Cybernetics Semi-Annual Data
Sep16 Mar17 Sep17 Mar18 Sep18 Mar19 Sep19 Mar20 Sep20 Mar21 Sep21 Mar22 Sep22 Mar23 Sep23 Mar24 Sep24 Mar25 Sep25 Mar26
Mohanram G-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only N/A 1.00 N/A 2.00 N/A

LSE:BUC vs PWR, FIX, EME: Mohanram G-Score Comparison

For the Engineering & Construction subindustry, Built Cybernetics's Mohanram G-Score, along with its competitors' market caps and Mohanram G-Score data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Built Cybernetics Mohanram G-Score vs Construction Industry

For the Construction industry and Industrials sector, Built Cybernetics's Mohanram G-Score distribution charts can be found below:

* The bar in red indicates where Built Cybernetics's Mohanram G-Score falls into.



Built Cybernetics Mohanram G-Score Calculation

The calculation of the Mohanram G-score consists of eight criteria. Assign one point for each criterion met, then add up all the points to get the G-Score.

Profitability

Question 1. Return on Assets (ROA)

ROA % is calculated as Net Income divided by its average Total Assets over a certain period of time. It measures how well a company uses its asset to generate earnings.

Score 1 if ROA > ROA Industry Median, 0 otherwise.

Question 2. Cash ROA

Cash ROA equals to Cash Flow from Operations divided by average Total Assets. It measures how well a company uses its asset to generate cash.

Score 1 if Cash ROA > Cash ROA Industry Median, 0 otherwise.

Question 3. CFO and Net Income

Score 1 if CFO > Net Income, 0 otherwise.

Earnings Predictability

Question 4. Earnings Variability

Earnings Variability is measured as the variance of a firm's ROA in the past five years.

Score 1 if Earnings Variability < Earnings Variability Industry Median, 0 otherwise.

Question 5. Sales Growth Variability

Sales Growth Variability is measured as the 5-year variance in sales growth.

Score 1 if Sales Growth Variability < Sales Growth Variability Industry Median, 0 otherwise.

Accounting Conservatism

Question 6. Research & Development Intensity

Research & Development Intensity is calcualted by Research & Development divided by the beginning Total Assets.

Score 1 if Research & Development Intensity > Research & Development Intensity Industry Median, 0 otherwise.

Question 7. CAPEX Intensity

CAPEX Intensity is calcualted by Capital Expenditure divided by the beginning Total Assets.

Score 1 if CAPEX Intensity > CAPEX Intensity Industry Median, 0 otherwise.

Question 8. Advertising Expenditure Intensity

Advertising Expenditure Intensity is calcualted by Advertising Expenditure divided by the beginning Total Assets. Note that Advertising Expenditure is not reported as a seperate line item for many companies, thus Selling, General, & Admin. Expense is used in this calculation.

Score 1 if Advertising Expenditure Intensity > Advertising Expenditure Intensity Industry Median, 0 otherwise.

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

* Note that all the Industry Median used for comparison in his original research, are substituted with Sector Median due to the limitation of data within certain countries.

Good or high score = 6, 7, 8
Bad or low score = 0, 1

Built Cybernetics has an G-score of 2.

Frequently Asked Questions Learn more about Mohanram G-Score →
What does a Mohanram G-Score of 2 mean?
Built Cybernetics (LSE:BUC) has a Mohanram G-Score of 2 as of Mar. 2026. G-Score is a financial indicator developed by professor Partha Mohanram to help investors find the best investment opportunities in the growth stocks. View historical data on Built Cybernetics and its competitors. This is 100% above median its historical median of 1.00.
Is Built Cybernetics' Mohanram G-Score too high?
Built Cybernetics' current Mohanram G-Score of 2 is 100% above median its 10-year median of 1.00.
How does Built Cybernetics' Mohanram G-Score compare to PWR and FIX?
Built Cybernetics' Mohanram G-Score of 2 can be compared against companies in the Construction industry. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Mohanram G-Score for a Construction company?
A good Mohanram G-Score depends on the Construction industry context. However, Mohanram G-Score should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Mohanram G-Score mean?
A high Mohanram G-Score can signal that a stock is expensive relative to its fundamentals. G-Score is a financial indicator developed by professor Partha Mohanram to help investors find the best investment opportunities in the growth stocks. View historical data on Built Cybernetics and its competitors. Built Cybernetics's current Mohanram G-Score is 2, which is 100% above median its own 10-year median of 1.00. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Built Cybernetics stock overvalued right now?
Based on GuruFocus' analysis, Built Cybernetics (LSE:BUC) is currently considered Possible Value Trap. The stock's GF Value™ is £0.02, compared to a current price of £0.01 — trading 30% below its estimated fair value. The current Mohanram G-Score is 2, which is 100% above median its 10-year median of 1.00. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Mohanram G-Score calculated?
Mohanram G-Score is calculated from a company's financial statements. For Built Cybernetics (LSE:BUC), the current Mohanram G-Score is 2 as of Mar. 2026. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.

Built Cybernetics Business Description

Address 10 Bonhill Street, London, GBR, EC2A 4PE
Built Cybernetics PLC is a London-quoted PropTech group delivering Smart Buildings and related services. The Group is positioned to ensure the technical systems that run modern premises are designed as an integral part of the structure, from the outset. By cross-selling smart building services alongside architecture projects. The Group operates through two main Division: Smart Buildings, which includes software development, system integration, and energy monitoring solutions; and Architecture, which provides executive architecture, full-service design, and interior design services. Geographically, the Group operates in the United Kingdom and Germany, with additional presence across multiple international markets.