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Fair Value Measurements
12 Months Ended
Dec. 31, 2021
Fair Value Disclosures [Abstract]  
Fair Value Measurements

Note 13 — Fair Value Measurements

 

Fair value measurements are determined based on assumptions that a market participant would use in pricing an asset or a liability. A three-tiered hierarchy distinguishes between market participant assumptions based on (i) observable inputs such as quoted prices in active markets (Level 1), (ii) inputs other than quoted prices in active markets that are observable either directly or indirectly (Level 2) and (iii) unobservable inputs that require the Company to use present value and other valuation techniques in the determination of fair value (Level 3).The following table presents the placement in the fair value hierarchy measured at fair value on a recurring basis as of December 31, 2021 and 2020:

 

       Fair value measurement at reporting date using 
   Balance   Quoted prices in
active markets
for identical
assets (Level 1)
   Significant
other observable
inputs (Level 2)
   Significant
unobservable
inputs (Level 3)
 

 

As of December 31, 2021: (in thousands)

                
Recurring fair value measurements                
Derivative liabilities:                
Conversion feature derivative liability  $8,355   $
      -
   $
      -
   $8,355 
Total derivative liabilities   8,355    
-
    
-
    8,355 
Total recurring fair value measurements  $8,355   $
-
   $
-
   $8,355 
                     
As of December 31, 2020: (in thousands)                    
Recurring fair value measurements                    
Derivative liabilities:                    
Conversion feature derivative liability  $
-
   $
-
   $
-
   $
-
 
Total derivative liabilities   
-
    
-
    
-
    
-
 
Total recurring fair value measurements  $
-
   $
    -
   $
    -
   $
    -
 

 

The conversion feature of the convertible Debentures was separately accounted for at fair value as a derivative liability under guidance in ASC 815 that is remeasured at fair value on a recurring basis using Level 3 inputs. The Company uses a probability weighted expected return model (“PWERM”) valuation technique to measure the fair value of the conversion feature with any changes in the fair value of the conversion feature liability recorded in earnings. Significant inputs to the model include estimated time to conversion events, estimated interest converted at the event, the implied yield, the discount rate for the conversion, and the probability of the conversion events. For the year ended December 31, 2021, the Company recorded a loss of $6,278,000 for the Change in fair value of debt conversion feature.