GBAIF (Greater Bay Area AI Computing Tech Co) Owner Earnings per Share (TTM): 0.01 (As of Dec. 2025) — 100% Below Median

Be Aware

Assumption: Companies usually do not report maintenance capital expenditures and growth capital expenditures separately. Here we use estimated numbers and average them over 5 years. The method to estimate maintenance capital expenditures can be found in above part 4.

Note: GuruFocus' Change In Working Capital is provided by Morningstar. It is calculated by adding the items under "Change in operating assets and liabilities" (may refer to a different name for different company) section in Cash Flow Statement from original financial report. And it includes non-current parts of assets and liabilities.

Greater Bay Area AI Computing Tech Co Owner Earnings per Share (TTM) Related Terms

The historical data trend for Greater Bay Area AI Computing Tech Co's Owner Earnings per Share (TTM) 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.

Greater Bay Area AI Computing Tech Co Owner Earnings per Share (TTM) Chart

Greater Bay Area AI Computing Tech Co Annual Data
	Trend	Dec16	Dec17	Dec18	Dec19	Dec20	Dec21	Dec22	Dec23	Dec24	Dec25
Owner Earnings per Share (TTM)		Get a 7-Day Free Trial					-0.47	-0.95	0.21	-1.42	0.02

Greater Bay Area AI Computing Tech Co Semi-Annual Data
	Jun16	Dec16	Jun17	Dec17	Jun18	Dec18	Jun19	Dec19	Jun20	Dec20	Jun21	Dec21	Jun22	Dec22	Jun23	Dec23	Jun24	Dec24	Jun25	Dec25
Owner Earnings per Share (TTM)	Get a 7-Day Free Trial															0.21	0.00	-1.42	0.00	0.02

Greater Bay Area AI Computing Tech Co Owner Earnings per Share (TTM) Competitor Comparison

For the Information Technology Services subindustry, Greater Bay Area AI Computing Tech Co's Price-to-Owner-Earnings, along with its competitors' market caps and Price-to-Owner-Earnings 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.

Greater Bay Area AI Computing Tech Co Price-to-Owner-Earnings vs Software Industry

For the Software industry and Technology sector, Greater Bay Area AI Computing Tech Co's Price-to-Owner-Earnings distribution charts can be found below:

* The bar in red indicates where Greater Bay Area AI Computing Tech Co's Price-to-Owner-Earnings falls into.

Greater Bay Area AI Computing Tech Co Owner Earnings per Share (TTM) Calculation

In 1986 Berkshire Hathaway Shareholder Letter, Warren Buffett defined owner earnings as follows:

"These represent (a) reported earnings plus (b) depreciation, depletion, amortization, and certain other non-cash charges...less (c) the average annual amount of capitalized expenditures for plant and equipment, etc. that the business requires to fully maintain its long-term competitive position and its unit volume. (If the business requires additional working capital to maintain its competitive position and unit volume, the increment also should be included in (c))...Our owner-earnings equation does not yield the deceptively precise figures provided by GAAP, since (c) must be a guess - and one sometimes very difficult to make. Despite this problem, we consider the owner earnings figure, not the GAAP figure, to be the relevant item for valuation purposes - both for investors in buying stocks and for managers in buying entire businesses...All of this points up the absurdity of the 'cash flow' numbers that are often set forth in Wall Street reports. These numbers routinely include (a) plus (b) - but do not subtract (c)."

To make it simple, then you will have:

Owner Earnings per Share (TTM) = (Net Income + Depreciation, Depletion and Amortization + Change In Deferred Tax - 5Y Average of Maintenance Capital Expenditure + Change In Working Capital) / Shares Outstanding (Diluted Average)

Greater Bay Area AI Computing Tech Co's Owner Earnings per Share (TTM) Calculation:

1. Start with "Net Income" from income statement. Greater Bay Area AI Computing Tech Co's Net Income for the trailing twelve months (TTM) ended in Dec. 2025 was $10.4 Mil.

2. "Depreciation, Depletion and Amortization" is from cashflow statement. Greater Bay Area AI Computing Tech Co's Depreciation, Depletion and Amortization for the trailing twelve months (TTM) ended in Dec. 2025 was $27.8 Mil. This needs to be added back because company does not actually need to pay cash for it. It is a non-cash item.

3. Other non-cash charges usually include "Stock Based Compensation" and "Change In Deferred Tax":
However, to be conservative, GuruFocus will not add Stock Based Compensation back to net income. Greater Bay Area AI Computing Tech Co's Change In Deferred Tax for the trailing twelve months (TTM) ended in Dec. 2025 was $0.0 Mil.

4. Average maintenance capital expenditure over a business/industry cycle: 5-Year Average Maintenance Capital Expenditure = $2.8 Mil

It is usually best to take a long-term average of maintenance capital expenditure. Ideally this would be as long as 10 years and include at least one economic downturn. However, since many companies do not have as long as 10-year history, here GuruFocus uses the latest 5 years data to do the calculation. To smooth out unusual years but reflect recent developments, we take an average of the 5 year maintenance capital expenditure.

The following shows how to get maintenance capital expenditure.

First, calculate the revenue change regarding to the previous year. If the revenue decreased from the previous year, then the Maintenance Capital Expenditure = Capital Expenditure (positive).
Second, if the revenue increased from the previous year, then calculate the percentage of Net PPE as of corresponding Revenue.
Growth Capital Expenditure = Percentage of Property, Plant and Equipment as of corresponding Revenue * Revenue Increase
Third, calculate Capital Expenditure (positive) - Growth Capital Expenditure.
If [Capital Expenditure (positive) - Growth Capital Expenditure] was negative, then the Maintenance Capital Expenditure = Capital Expenditure (positive).
If [Capital Expenditure (positive) - Growth Capital Expenditure] was positive, then the Maintenance Capital Expenditure = Capital Expenditure (positive) - Growth Capital Expenditure.
Fourth, get the average of the 5 years maintenance capital expenditure.

Greater Bay Area AI Computing Tech Co's 5-Year Average Maintenance Capital Expenditure = $2.8 Mil

5. "Change In Working Capital" is from cashflow statement. Greater Bay Area AI Computing Tech Co's Change In Working Capital for the trailing twelve months (TTM) ended in Dec. 2025 was $44.2 Mil.
Note: GuruFocus' Change in Working Capital is provided by Morningstar. It is calculated by adding the items under "Change in operating assets and liabilities" (may refer to a different name for different company) section in Cash Flow Statement from original financial report. And sometimes it includes non-current parts of assets and liabilities.

6. Greater Bay Area AI Computing Tech Co's Shares Outstanding (Diluted Average) for the months ended in Dec. 2025 was 1085.907 Mil.

Greater Bay Area AI Computing Tech Co's Onwer Earnings Per Share for Dec. 2025 is calculated as:

* 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.

Greater Bay Area AI Computing Tech Co Business Description