Quarterly report pursuant to Section 13 or 15(d)

Fair Value Measurements

v3.19.2
Fair Value Measurements
9 Months Ended
Jun. 30, 2019
Fair Value Measurements [Abstract]  
Fair Value Measurements

Note 3 – Fair Value Measurements



FASB ASC Topic 820 specifies a hierarchy of valuation techniques based on whether the inputs to those valuation techniques are observable or unobservable. Observable inputs reflect market data obtained from independent sources, while unobservable inputs reflect market assumptions. The hierarchy gives the highest priority to unadjusted quoted prices in active markets for identical assets or liabilities (Level 1 measurement) and the lowest priority to unobservable inputs (Level 3 measurement).



The three levels of the fair value hierarchy are as follows:



Level 1 – Quoted prices for identical instruments in active markets.



Level 2 – Quoted prices for similar instruments in active markets; quoted prices for identical or similar instruments in markets that are not active; and model-derived valuations whose inputs are observable or whose significant value drivers are observable. 



Level 3 – Instruments with primarily unobservable value drivers.



We review the fair value hierarchy classification on a quarterly basis. Changes in the ability to observe valuation inputs may result in a reclassification of levels of certain securities within the fair value hierarchy. There were no transfers between Level 1, Level 2 and Level 3 during the nine months ended June 30, 2019 and 2018.



As of June 30, 2019 and September 30, 2018, the Company’s financial liabilities measured at fair value on a recurring basis, which consisted of embedded derivatives, were classified within Level 3 of the fair value hierarchy. 



The Company determines the fair value of hybrid instruments based on available market data using appropriate valuation models, considering all of the rights and obligations of each instrument. The Company estimates the fair value of hybrid instruments using various techniques (and combinations thereof) that are considered to be consistent with the objective of measuring fair value. In selecting the appropriate technique, the Company considers, among other factors, the nature of the instrument, the market risks that it embodies and the expected means of settlement. Estimating the fair value of derivative financial instruments requires the development of significant and subjective estimates that may, and are likely to, change over the duration of the instrument with related changes in internal and external market factors. Increases in fair value during a given financial quarter result in the recognition of non-cash derivative expense. Conversely, decreases in fair value during a given financial quarter would result in the recognition of non-cash derivative income. 



The following table provides a reconciliation of the beginning and ending liability balance associated with embedded derivatives measured at fair value using significant unobservable inputs (Level 3) as of June 30, 2019 and 2018:







 

 

 

 

 



Nine Months Ended June 30,



2019

 

2018



 

 

 

 

 

Beginning balance

$

2,426,000 

 

$

 —

Additions

 

 —

 

 

3,319,000 

Change in fair value of derivative liabilities

 

246,000 

 

 

399,000 

Ending balance

$

2,672,000 

 

$

3,718,000 



The expense associated with the change in fair value of the embedded derivatives is included as a separate line item on our unaudited condensed consolidated statements of operations.



The liabilities associated with embedded derivatives represent the fair value of the change of control provisions in the Credit Agreement and Residual Royalty Agreement. See Note 8 for additional information. There is no current observable market for these types of derivatives. The Company determined the fair value of the embedded derivatives using a Monte Carlo simulation model to value the financial liabilities at inception and on subsequent valuation dates. This valuation model incorporates transaction details such as the contractual terms, expected cash outflows, expected repayment dates, probability of a change of control, expected volatility, and risk-free interest rates. A significant acceleration of the estimated repayment date or a significant decrease in the probability of a change of control event prior to repayment of the Credit Agreement, in isolation, would result in a significantly lower fair value measurement of the liabilities associated with the embedded derivatives.



The following table presents quantitative information about the inputs and valuation methodologies used to determine the fair value of the embedded derivatives classified in Level 3 of the fair value hierarchy as of June 30, 2019:





 

 

 

 



 

 

 

 

Valuation Methodology

 

Significant Unobservable Input

 

Weighted Average
(range, if applicable)



 

 

 

 

Monte Carlo Simulation

 

Estimated change of control dates

 

March 2020 to December 2021



 

Discount rate

 

16.3% to 19.7%



 

Probability of change of control

 

0% to 90%