BMPA (BMP AI Technologies) Scaled Net Operating Assets: N/A (As of Sep. 2023)


What is BMP AI Technologies Scaled Net Operating Assets?

Scaled Net Operating Assets (SNOA) is calculated as the difference between operating assets and operating liabilities, scaled by lagged total assets.

BMP AI Technologies's operating assets for the quarter that ended in Sep. 2023 was $0.41 Mil. BMP AI Technologies's operating liabilities for the quarter that ended in Sep. 2023 was $2.57 Mil. BMP AI Technologies's Total Assets for the quarter that ended in Sep. 2022 was $0.00 Mil. Therefore, BMP AI Technologies's scaled net operating assets (SNOA) for the quarter that ended in Sep. 2023 was N/A.

BMP AI Technologies Scaled Net Operating Assets Historical Data

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The historical data trend for BMP AI Technologies's Scaled Net Operating Assets 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 Scaled Net Operating Assets Chart

BMP AI Technologies Annual Data
Trend
Scaled Net Operating Assets

BMP AI Technologies Quarterly Data
Sep22 Sep23
Scaled Net Operating Assets 0.00 0.00

BMPA vs SPQS, BWMG, HAS: Scaled Net Operating Assets Comparison

For the Software - Application subindustry, BMP AI Technologies's Scaled Net Operating Assets, along with its competitors' market caps and Scaled Net Operating Assets 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 Scaled Net Operating Assets vs Software Industry

For the Software industry and Technology sector, BMP AI Technologies's Scaled Net Operating Assets distribution charts can be found below:

* The bar in red indicates where BMP AI Technologies's Scaled Net Operating Assets falls into.


BMP AI Technologies Scaled Net Operating Assets Calculation

Scaled Net Operating Assets (SNOA) is calculated as the difference between operating assets and operating liabilities, scaled by lagged total assets.

BMP AI Technologies's Scaled Net Operating Assets (SNOA) for the fiscal year that ended in . 20 is calculated as

Scaled Net Operating Assets (SNOA)(A: . 20 )
=(Operating Assets (A: . 20 )-Operating Liabilities (A: . 20 ))/Total Assets (A: . 20 )
=(-)/
=

where

Operating Assets(A: . 20 )
=Total Assets - Cash, Cash Equivalents, Marketable Securities
= -
=

Operating Liabilities(A: . 20 )
=Total Liabilities - Long-Term Debt & Capital Lease Obligation - Short-Term Debt & Capital Lease Obligation
= - -
=

BMP AI Technologies's Scaled Net Operating Assets (SNOA) for the quarter that ended in Sep. 2023 is calculated as

Scaled Net Operating Assets (SNOA)(Q: Sep. 2023 )
=(Operating Assets (Q: Sep. 2023 )-Operating Liabilities (Q: Sep. 2023 ))/Total Assets (Q: Sep. 2022 )
=(0.405-2.574)/0
=N/A

where

Operating Assets(Q: Sep. 2023 )
=Total Assets - Cash, Cash Equivalents, Marketable Securities
=0.405 - 0
=0.405

Operating Liabilities(Q: Sep. 2023 )
=Total Liabilities - Long-Term Debt & Capital Lease Obligation - Short-Term Debt & Capital Lease Obligation
=2.704 - 0 - 0.13
=2.574

* 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 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.