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General Information (Policies) | 6 Months Ended
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Dec. 31, 2017
Organization, Consolidation and Presentation of Financial Statements [Abstract] |
Basis of Presentation | Basis of Presentation – The accompanying unaudited condensed consolidated financial statements have been prepared by Astrotech Corporation in accordance with United States Generally Accepted Accounting Principles (“GAAP”) for interim financial information and the rules and regulations of the Securities and Exchange Commission. Accordingly, they do not include all of the information and footnotes required by GAAP for complete financial statements. In the opinion of management, all adjustments considered necessary for a fair presentation have been included. Operating results for the six months ended December 31, 2017 are not necessarily indicative of the results that may be expected for the year ending June 30, 2018. These financial statements should be read in conjunction with the financial statements and notes included in the Company’s Annual Report on Form 10-K for the year ended June 30, 2017.
Accounting Pronouncements | Accounting Pronouncements – In May 2014, the Financial Accounting Standards Board (“FASB”) issued Accounting Standards Update (“ASU”) 2014-09, “Revenue from Contracts with Customers” (Topic 606) (“ASU 2014-09”), which supersedes the revenue recognition requirements in Accounting Standards Codification (“ASC”) 605, Revenue Recognition (as updated by ASU 2015-14 in August 2015, ASU 2016-08 in March 2016, and ASU 2016-20 in December 2016). The core principle of ASU 2014-09 is that an entity should recognize revenue to depict the transfer of promised goods or services to customers in an amount that reflects the consideration to which the entity expects to be entitled in exchange for those goods or services. The guidance provides a five-step process to achieve that core principle. ASU 2014-09 requires disclosures enabling users of financial statements to understand the nature, amount, timing, and uncertainty of revenue and cash flows arising from contracts with customers. Additionally, qualitative and quantitative disclosures are required about contracts with customers, significant judgments and changes in judgments, and assets recognized from the costs to obtain or fulfill a contract. ASU 2014-09 was to be effective for annual reporting periods beginning after December 15, 2016, including interim periods within that reporting period. ASU 2015-14 delayed the required adoption date for public entities to periods beginning after December 15, 2017, although early adoption to the original effective date under ASU 2014-09 is permitted. Once implemented, the Company can use one of two retrospective application methods for prior periods. Earlier application is not permitted. The Company has been assessing the impact of the new revenue recognition standard on its relationships with its clients. We have hired an outside consultant to help with the adoption of this standard. The Company will evaluate each contract as it commences in order to ensure its compliance with the new revenue standard. The Company plans to adopt this standard in fiscal year 2019. The Company has not yet determined the impacts of all the disclosure requirements and specifically is assessing the manner in which it will disaggregate its revenue to illustrate how the nature, amount, timing, and uncertainty of revenue and cash flows are affected by economic factors. Additionally, while the Company is in the process of assessing its accounting and forecasting processes to ensure its ability to record, report, forecast, and analyze results under the new standard, it is not expecting significant changes to its business processes or systems. In January 2016, the FASB issued ASU 2016-01, “Financial Instruments - Overall: Recognition and Measurement of Financial Assets and Financial Liabilities” (“ASU 2016-01”). ASU 2016-01 modifies how entities measure equity investments and present changes in the fair value of financial liabilities. Under the new guidance, entities will have to measure equity investments that do not result in consolidation and are not accounted for under the equity method at fair value and recognize any changes in fair value in net income unless the investments qualify for the new practicality exception. A practicality exception will apply to those equity investments that do not have a readily determinable fair value and do not qualify for the practical expedient to estimate fair value under ASC 820, “Fair Value Measurements,” and as such these investments may be measured at cost. ASU 2016-01 will be effective for the Company’s fiscal year beginning July 1, 2018, and subsequent interim periods. The adoption of ASU 2016-01 is not expected to have an impact on the Company’s financial statements. The Company will adopt this ASU in fiscal year 2019. In February 2016, the FASB issued ASU 2016-02, “Leases (Topic 842)” (“ASU 2016-02”). The new standard establishes a right-of-use (“ROU”) model that requires a lessee to record an ROU asset and a lease liability on the balance sheet for all leases with terms longer than 12 months. Leases will be classified as either finance or operating, with classification affecting the pattern of expense recognition in the income statement. A modified retrospective transition approach is required for lessees for capital and operating leases existing at, or entered into after, the beginning of the earliest comparative period presented in the financial statements, with certain practical expedients available. The new standard is effective for fiscal years beginning after December 15, 2018, including interim periods within those fiscal years. The Company is assessing the impact the adoption of ASU 2016-02 will have on its financial statements and plans to adopt this ASU in fiscal year 2019. In June 2016, the FASB issued ASU 2016-13, “Financial Instruments - Credit Losses (Topic 326): Measurement of Credit Losses on Financial Instruments” (“ASU 2016-13”). ASU 2016-13 amends guidance on reporting credit losses for assets held at amortized cost basis and available-for-sale debt securities. For assets held at amortized cost basis, ASU 2016-13 eliminates the probable initial recognition threshold in current generally accepted accounting standards, and, instead, requires an entity to reflect its current estimate of all expected credit losses. The allowance for credit losses is a valuation account that is deducted from the amortized cost basis of the financial assets to present the net amount expected to be collected. For available-for-sale debt securities, credit losses should be measured in a manner similar to current generally accepted accounting standards; however, ASU 2016-13 will require that credit losses be presented as an allowance rather than as a write-down. ASU 2016-13 affects entities holding financial assets and net investment in leases that are not accounted for at fair value through net income. This amendment affects loans, debt securities, trade receivables, net investments in leases, off balance sheet credit exposures, reinsurance receivables, and any other financial assets not excluded from the scope that have the contractual right to receive cash. ASU 2016-13 is effective for fiscal years beginning after December 15, 2019, including interim periods within those fiscal years. The Company is currently evaluating the impact the adoption of this standard will have on its financial statements. In August 2016, the FASB issued ASU 2016-15, “Statement of Cash Flows (Topic 230): Classification of Certain Cash Receipts and Cash Payments” (“ASU 2016-15”). ASU 2016-15 will make eight targeted changes to how cash receipts and cash payments are presented and classified in the statement of cash flows. ASU 2016-15 is effective for fiscal years beginning after December 15, 2017. The new standard will require adoption on a retrospective basis unless it is impracticable to apply, in which case it would be required to apply the amendments prospectively as of the earliest date practicable. The Company is currently in the process of evaluating the impact of adoption on its consolidated financial statements. In May 2017, the FASB issued ASU 2017-09, “Compensation - Stock Compensation (Topic 718): Scope of Modification Accounting” (“ASU 2017-09”). ASU 2017-09 clarifies when changes to the terms or conditions of a share-based payment award must be accounted for as a modification. The new guidance is expected to reduce diversity in practice and result in fewer changes to the terms of an award being accounted for as a modification. Changes to the terms or conditions of a share-based payment award that do not impact the fair value of the award, vesting conditions, and the classification as an equity or liability instrument will not need to be assessed under modification accounting. ASU 2017-09 is effective for annual periods, and interim periods within those annual periods, beginning after December 15, 2017. The amendments in this update should be applied prospectively to an award modified on or after the adoption date. Accordingly, the adoption of ASU 2017-09 will not have an effect on the Company's historical financial statements. The Company is currently evaluating the effect of this standard on future consolidated financial statements.
Our Business Units | Our Business Units Astro Scientific Astro Scientific is a technology incubator that commercializes innovative technologies. Subsidiaries 1 st Detect Corporation (“1 st Detect”) and Astrogenetix, Inc. (“Astrogenetix”) currently reside in Astro Scientific: 1 st Detect - 1 st Detect is a manufacturer of advanced mass spectrometry technology used to detect and analyze explosives, chemical warfare agents (“CWAs”), and volatile organic compounds (“VOCs”). The Company offers technology with capabilities that exceed those of the currently deployed competitive solutions, providing laboratory-quality performance capable of detecting a wide range of threats with minimal to no false positives, rapid analysis time, and an easy user interface. The Company worked with prime contractors in adapting our technology to be used in enhancing the government’s detection capabilities for a variety of applications. Our efforts have resulted in a platform technology that has many diverse market opportunities, with the initial focus remaining on two key areas:
• | Security - Explosive device detection in airports: There are currently approximately 25,000 ion mobility spectrometer (“IMS”) instruments installed today, with most nearing their end of life. These IMS systems have many shortcomings - most notably their limited library of detectable compounds, inability to adapt to emerging threats, and significant false positive rates that extend security wait times. The 1 st Detect TRACER 1000 provides significant enhancements, including:
• | Considerably expanded list of explosives, narcotics, and other compounds of interest;
• | Target library that can be instantaneously updated or expanded in the field without requiring hardware configuration changes;
• | Near-zero false positive rates;
• | Improved passenger satisfaction due to increased throughput at checkpoints; and
• | Similar market cost to current IMS explosives trace detectors (“ETD”).
As the current generation of IMS technology is replaced, we are positioning the Company to be the best next-generation solution for this market. We recently completed a successful demo of our technology to the Department of Homeland Security and the Transportation Security Administration (“TSA”) personnel and are working on attaining acceptance of our product on TSA’s qualified products list (“QPL”).
• | Healthcare - Breath analysis: We have partnered with UT Health San Antonio (“UTHSA”) in the development of the BreathDetect 1000, a mass spectrometry-based instrument that is being used to analyze human breath in real-time, enabling detection of bacterial infections in the respiratory tract within minutes. We have entered pre-clinical trials working with cystic fibrosis patients at UTHSA, focusing on identifying hospital-acquired pneumonia (“HAP”), one of the biggest and most expensive problems in hospitals with over 150,000 cases reported annually. Such identification can significantly enhance the physicians’ ability to treat patients correctly. With current diagnosis methods, physicians wait up to three days for the lab to identify the organism, and another two days to receive the antibiotic resistance profile. In the meantime, they prescribe broad-spectrum antibiotics, leading to the urgent public health threat of antibiotic resistance and contributing to the re-emergence of deadly diseases such as methicillin-resistant Staphylococcus aureus (“MRSA”). The appropriate real-time diagnosis can lead to immediate administration of the appropriate antibiotics, reduce antibiotic resistance, decrease the length of hospital stays, and most importantly, save lives.
Astrogenetix - Astrogenetix is applying a fast-track, on-orbit discovery platform using the International Space Station to develop vaccines. The Center for Vaccine Development at the University of Maryland (“UMD”), one of the leading vaccinology institutions in the world, independently validated our target vaccine for Salmonella through funding provided by NASA. We are currently looking for funding to finance the pursuit of an Investigational New Drug (“IND”) application with the U.S. Food and Drug Administration (“FDA”). Astral Images Corporation Astral Images - Astral Images Corporation (“Astral”) is a developer of advanced film restoration and enhancement software. The Company offers significant cost savings to content owners who traditionally employ a laborious, inconsistent, and expensive manual frame-by-frame restoration process. At 24 frames-per-second, a full-length movie can easily have in excess of 200,000 frames, making manual conversion prohibitively expensive in some instances. Movie studios are at the precipice of a large shift to 4K and/or high dynamic rage (“HDR”) (collectively known as ultra-high definition (“UHD”)) content, and therefore, film assets will need to be rescanned and restored in order to remain relevant in the next generation of video content distribution through over the top (“OTT”) providers such as Netflix, Amazon Prime, and Hulu. Astral is positioned to lead this shift using its powerful artificial intelligence (“AI”) algorithms that remove dust, scratches, and defects from film while converting the content to a digital format with significantly enhanced resolution. In addition, the intelligent software automatically restores the film’s original color, optimizing the content to be viewed in 4K. Coupled with Astral’s HDR technology, which maximizes the contrast ratio, or the difference in light intensity from the darkest blacks and brightest whites, and a significantly expanded color gamut (1.06 billion available colors instead of 16 million), Astral’s technology yields a result that we believe is optimized for today’s most state of the art televisions. This same technology is being applied to film held at film archives and museums with significant film collections throughout the world. This market is less driven by optimizing content for the latest standards and more concerned with preserving their treasured film assets. Film degrades over time, colors fade, buckling occurs, the film becomes brittle and eventually turns to dust, and in some cases, it becomes combustible. Astral provides a solution for such entities as they tend to be more cost conscious than film studios, and Astral’s automated process is much less expensive than manual restoration. Finally, Astral’s versatile AI platform technology will be applied to digitize and restore the 1.7 trillion photographs, negatives, and slides that are deteriorating in attics, basements, and cupboards around the world. With its advanced technology, Astral disrupts the photograph digitization market, where currently, scanned photographs are digitized in their existing and often poor condition, and expensive manual labor is employed for any restoration requests. In contrast, using its sophisticated algorithms, Astral restores the film to its original color and condition as part of the automated digitization process.

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