BMPA (BMP AI Technologies) Net Current Asset Value: $-13.52 (As of Sep. 2023)


What is BMP AI Technologies Net Current Asset Value?

BMP AI Technologies BMPA -15.00% Net Current Asset Value is $-13.52 as of Sep. 2023.

In calculating the Net Current Asset Value (NCAV), Benjamin Graham means a company's current assets (such as cash, marketable securities, and inventories) minus its total liabilities (including preferred stock, minority interest, and long-term debt).

BMP AI Technologies's net current asset value per share for the quarter that ended in Sep. 2023 was $-13.52.

The historical rank and industry rank for BMP AI Technologies's Net Current Asset Value or its related term are showing as below:

BMPA's Price-to-Net-Current-Asset-Value is not ranked *
in the Software industry.
Industry Median: 4.78
* Ranked among companies with meaningful Price-to-Net-Current-Asset-Value only.

BMP AI Technologies  (OTCPK:BMPA) Net Current Asset Value Explanation

Benjamin Graham first discussed net current asset value (NCAV) in the 1934 edition of "Security Analysis", which he coauthored with David Dodd. In the book, (net) current asset value is defined as:" current assets alone, minus all liabilities and claims ahead of the issue."

The common definition of NCAV is: NCAV = current assets – [total liabilities + minority interest + preferred stock]

Net current assets exclude not only the intangible assets but also the fixed and miscellaneous assets. In addition, Graham believed that preferred stock belongs on the liability side of the balance sheet, not as part of capital and surplus. In "Security Analysis", preferred stock is dubbed "an imperfect creditorship position" that is best placed on the balance sheet alongside funded debt.

One research study, covering the years 1970 through 1983 showed that portfolios picked at the beginning of each year, and held for one year, returned 29.4 percent, on average, over the 13-year period, compared to 11.5 percent for the S&P 500 Index. Other studies of Graham’s strategy produced similar results.

Benjamin Graham looked for companies whose market values were less than two-thirds of their Net-Net Working Capital. They are collected under our Net-Net screener.


BMP AI Technologies Net Current Asset Value Related Terms


BMP AI Technologies Net Current Asset Value Historical Data

* Premium members only.

The historical data trend for BMP AI Technologies's Net Current Asset Value 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.

BMP AI Technologies Net Current Asset Value Chart

BMP AI Technologies Annual Data
Trend
Net Current Asset Value

BMP AI Technologies Quarterly Data
Sep22 Sep23
Net Current Asset Value 0.00 -13.52

BMPA vs SPQS, BWMG, HAS: Net Current Asset Value Comparison

For the Software - Application subindustry, BMP AI Technologies's Price-to-Net-Current-Asset-Value, along with its competitors' market caps and Price-to-Net-Current-Asset-Value 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.


BMP AI Technologies Price-to-Net-Current-Asset-Value vs Software Industry

For the Software industry and Technology sector, BMP AI Technologies's Price-to-Net-Current-Asset-Value distribution charts can be found below:

* The bar in red indicates where BMP AI Technologies's Price-to-Net-Current-Asset-Value falls into.



BMP AI Technologies Net Current Asset Value Calculation

BMP AI Technologies's Net Current Asset Value (NCAV) per share for the fiscal year that ended in . 20 is calculated as

Net Current Asset Value Per Share(A: . 20 )
=(Total Current Assets-Total Liabilities-Minority Interest-Preferred Stock)/Shares Outstanding (EOP)
=(-N/A--)/0
=N/A

BMP AI Technologies's Net Current Asset Value (NCAV) per share for the quarter that ended in Sep. 2023 is calculated as

Net Current Asset Value Per Share(Q: Sep. 2023 )
=(Total Current Assets-Total Liabilities-Minority Interest-Preferred Stock)/Shares Outstanding (EOP)
=(0-2.704-0-0)/0.200
=-13.52

* 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.

What does a Net Current Asset Value of $-13.52 mean?
BMP AI Technologies (BMPA) has a Net Current Asset Value of $-13.52 as of Sep. 2023. Ben Graham's net current asset value equals the per-share value of total current assets less total liabilities. View historical data on BMP AI Technologies and its competitors.
Is BMP AI Technologies' Net Current Asset Value too high?
BMP AI Technologies' current Net Current Asset Value is $-13.52.
How does BMP AI Technologies' Net Current Asset Value compare to SPQS and BWMG?
BMP AI Technologies' Net Current Asset Value of $-13.52 can be compared against companies in the Software industry. The industry median Net Current Asset Value is 4.78. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Net Current Asset Value for a Software company?
The median Net Current Asset Value among Software companies is 4.78, based on 1,755 companies in the industry. Companies in the top quartile (top 25%) have a Net Current Asset Value significantly above this median, while those in the bottom quartile fall well below. However, Net Current Asset Value 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 Net Current Asset Value mean?
A high Net Current Asset Value can signal that a stock is expensive relative to its fundamentals. Ben Graham's net current asset value equals the per-share value of total current assets less total liabilities. View historical data on BMP AI Technologies and its competitors. For the Software industry, the median Net Current Asset Value is 4.78 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. BMP AI Technologies's current Net Current Asset Value is $-13.52. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is BMP AI Technologies stock overvalued right now?
BMP AI Technologies (BMPA) has a current Net Current Asset Value of $-13.52. The current Net Current Asset Value is $-13.52. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Net Current Asset Value calculated?
Net Current Asset Value is calculated from a company's financial statements. For BMP AI Technologies (BMPA), the current Net Current Asset Value is $-13.52 as of Sep. 2023. 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.

BMP AI Technologies Business Description

Address 10409 Pacific Palisades Avenue, Las Vegas, NV, USA, 89144-1221
BMP AI Technologies Inc focuses on delivering next-generation AI solutions across key commercial sectors, including enterprise SaaS, intelligent automation, and data-driven decision-making tools. The company integrates seamlessly with file systems, CRMs, and knowledge bases, enabling businesses in sectors such as financial services, healthcare, legal, and government to deploy explainable, high-trust AI solutions with minimal technical overhead.