Fundamental analysis: BigBear.ai Holdings, Inc. (BBAI)

Awarener score: 1.0

Conclusion

The higher the Awarener score, the more bang you get for the buck. It measures how much genuine funds the company generates for the stock price paid (could not be estimated), the business stability (unknown) and growth (unknown), and the company's inclination to return cash to the stockholders (unknown).

Note: All scores range from 1 (worst) to 10 (best). Conclusions are updated daily with closing stock prices and new reported quarterly financial statements.

Revenue score: a result could not be reached

Business growth could not be estimated, due to not enough input data. It's been unavailable to compare with peer companies.
BigBear.ai Holdings, Inc. business stability could not be estimated, due to insufficient input data. It looks we cannot compare it to rivals.

Margins score: 2.3

BBAI profit margins -on goods and services sold- are usually meagre. They stand mediocre against rival companies.
Business profit on sales tends to be extremely poor. It's last-in-rank when measured against competitors.
Profits on sales made -available to repay debt and purchase properties- are usually extremely poor. They remain a disappointment compared to peers.
Earnings -before income taxes and interests on loans taken- tend to be extremely poor in relation to total revenues. They're still bottom tier against similar companies.
Profits -before income taxes- are usually extremely poor considering total sales, and remain last-in-rank when measured against rivals.
Total net profit tends to be extremely poor when confronted to sales. Company stands last-in-rank when measured against comparable firms.

Growth score: 1.0

BigBear.ai Holdings, Inc. has an unknown gross margin growth, as there is not enough data to analyze. It's been impossible to compare to competitors.
In recent years, the firm hasn't always been able to profit from operations, which has been bottom tier against comparable firms.
In past years, the company couldn't always turn a profit -available to repay debt and purchase properties-, which compares last-in-rank when measured against peer enterprises.
In the previous years, the firm couldn't always make a profit -before income taxes and interests on loans taken-. It turns to be a disappointment compared to similar stocks.
In past years, at least once the company lost money -before income taxes-. It was bottom tier against rivals.
In the previous years, the firm had at least a total net loss, and last-in-rank when measured against peer companies.
The company lost money at least once in the past years. It's been a disappointment compared to industry peers.

Miscellaneous score: 4.5

BBAI had still to pay income taxes, even though in recent past years mostly lost money. It's been bottom tier against peers.
Research and development expenses consume a sparse portion of revenues. It's below average when measured against competitors.
We have insufficient data to estimate how effective is research and development effort. It stands unknown against rival companies.

Profitability score: 1.0

BigBear.ai Holdings, Inc. usually gets pauper returns on the resources it controls. It proves last-in-rank when measured against peer firms.
Due to insufficient track history, we were unable to estimate typical returns on invested capital (ROIC). They remain undisclosed in relation to similar companies.
Normal return on equity (ROE) is unavailable at this time, because of not enough yearly inputs to calculate. It ranks unknown against competitors.
In the past, got pauper returns -on the tangible resources it controls-. This metric is usually related to the industry in which operates and combines profitability versus reinvestment needs. It's last-in-rank when measured against comparable enterprises.

Usage of Funds score: 1.5

BBAI remains pending of analysis regarding capital expenditures, due to data unavailable. It stands last-in-rank when measured against rival firms.
The company is usually sparsely replacing property, plant, and equipment that gets old, instead using funds in something else. It can't keep forever, which is last-in-rank when measured against industry peers.
In the past twelve months the stock paid no dividends. It came bottom tier against competitors.
The company pays no dividend, so measuring its growth is meaningless. The company has behaved in an conservative way compared to similar firms.
As no dividends are paid, it is useless trying to estimate their sustainability in time. Sustainability looks not applicable in regard to comparable companies.
Shares count analysis is unavailable, on lacking data. It remains we cannot compare it with peer enterprises.
We are not sure on the effectiveness of the company when repurchasing shares, as there were not enough numbers to crunch. It stands unidentified against rivals.
We do not have sufficient data to comment on buybacks and their sustainability. It still looks dubious against competitors.

Balance Sheet score: 5.7

BigBear.ai Holdings, Inc. has not disclosed intangibles assets, so we could not reach a meaningful conclusion on this metric. It happens to be a not known variable when measured with peer companies.
The company has roughly double short-term resources than short-term obligations. Liquidity concerns are normally not an issue. It turns to be rather normal in relation to similar firms.
Most resources controlled were provided for with financial debt. Creditors have more claims on the company than shareholders. Unless the company is a financial institution that takes deposits, the situation might be very risky. It remains bottom tier against rival firms.
Most controlled resources might be only slowly turned into cash and equivalents, which is risky. It looks substantially worse when measured against rivals.
For every dollar of short-term obligations, the company has more than enough dollars in cash and short-term receivables. It's rather normal in relation to peer firms.
For every dollar of short-term obligations, the company has almost another of cash and equivalents, which is slightly better than similar enterprises.
Usually, sales are mostly on cash. It still ranks top tier when measured against peers.
Normally has no inventories. It comes up as impressive in relation to competitors.
On average, it takes less than one month from the purchase to charging customers. It happens to be top-notch against peers.
On average pays suppliers during the first couple of weeks from the purchase. It ranks substantially worse when measured against industry peers.
The company pays its suppliers almost when charging its customers, so there's very little money invested in working capital. It's in good shape compared to similar companies.
Has usually been losing money on the business, so net interest expenses must be paid by increasing borrowings, which is unsustainable in the long run. The situation is very risky for both creditors and shareholders, profitability must increase. It stands bottom tier against rival firms.
Business has usually been operated at a loss. Unless prospects improve, the company is no position to decrease loans taken levels but by additional shareholders' funding. Profitability must improve. It ranks last-in-rank when measured against comparable enterprises.
Revenues are huge in relation to property, plant, and equipment required to operate. This metric is likely dependent on the industry the company operates in. Low property, plant, and equipment requirements, allows the company to keep more money to reward stockholders in the long run. It looks impressive in relation to similar firms.
Resource exploitation is huge considering yearly sales, which is great. This metric is normally tied to the industry where the firm belongs. It's still top-notch against peer companies.

Valuation score: 2.1

BigBear.ai Holdings, Inc. reported losses, so valuating it in relation to earnings is meaningless. It happens to be last-in-rank when measured against competitors.
Price-to-Tangible-Book-Value is a fairly complex metric. Run again in analytical mode if you're interested in a technical explanation. It remains a disappointment compared to peers.
There is insufficient information on the genuine funds generation capability showed in the past twelve months, which stands as an incognita in relation to similar companies.
Unfortunately, lack of enough yearly data impaired our ability to estimate the normal earnings power. It's still an unknown variable to measure against industry firms.
A conclusion regarding usual company rewards to stockholders was impossible to reach with data available. It came up also not enough to relate to peer ventures.
The company has neither net debt nor net cash. It may borrow extra money if it wishes so, or start cumulating cash for future uses. It looks somewhat better than similar enterprises.
Considering the past twelve months, traditional Price-to-Earnings relation has been negative, as the company lost money. It ranks last-in-rank when measured against peer companies.
Comparing the current stock price with the past twelve-months revenues gives a high relationship. This is an important metric to check its evolution through time, and to compare to industry peers. It looks lacking compared to rival firms.
There's no accounting equity, which may be good or bad depending on context. Run again in analytic mode if you want to dig deeper. The company remains bottom tier against peer firms.
In the past twelve months, the operating business lost a lot of money. It happens to be last-in-rank when measured against industry peers.
In an alternate metric of bang for the buck, the company has usually shown an extremely low earnings power ability when measured against the current stock price and financial position. Profitability is significantly in dispute. It's still a disappointment compared to peer companies.

Total score: 2.6

Company at a glance: BigBear.ai Holdings, Inc. (BBAI)

Sector, industry: Technology, Information Technology Services

Market Cap: 0.27 billions

Revenues TTM: 0.11 billions

BigBear.ai Holdings, Inc. provides artificial intelligence and machine learning for decision support. The company operates through two segments, Cyber & Engineering and Analytics. The Cyber & Engineering segment offers high-end technology and management consulting services. It focuses in the areas of cloud engineering and enterprise IT, cybersecurity, computer network operations and wireless, systems engineering, and strategy and program planning. The Analytics segment provides high-end technology and consulting services. This segment focuses on the areas of big data computing and analytical solutions, including predictive and prescriptive analytics solutions. Its solutions assist customers in aggregating, interpreting, and synthesizing data to enable real-time decision-making capabilities. The company is headquartered in Columbia, Maryland.