NOTE 9 — FAIR VALUE MEASUREMENTS

Recurring Fair Value Measurements

At June 30, 2023, the Company’s warrant liability was valued at $5,276,500. Under the guidance in ASC 815-40, the Public Warrants and the Private Placement Warrants do not meet the criteria for equity treatment. As such, the Public Warrants and the Private Placement Warrants must be recorded on the balance sheet at fair value. This valuation is subject to re-measurement at each balance sheet date. With each remeasurement, the valuations will be adjusted to fair value, with the change in fair value recognized in the Company’s statement of operations.

The following table presents fair value information as of June 30, 2023, of the Company’s financial assets and liabilities that were accounted for at fair value on a recurring basis and indicates the fair value hierarchy of the valuation techniques the Company utilized to determine such fair value. The Company’s warrant liability is based on a valuation model utilizing management judgment and pricing inputs from observable and unobservable markets with less volume and transaction frequency than active markets. Significant deviations from these estimates and inputs could result in a material change in fair value. The fair value of the private warrant liability is classified within Level 3 of the fair value hierarchy. The Company transferred the fair value of Public Warrants from a Level 3 measurement to a Level 1 measurement as a result of the Public Warrants detaching from the Units and becoming separately tradable:

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The fair value of the Company’s financial assets and liabilities reflects management’s estimate of amounts that the Company would have received in connection with the sale of the assets or paid in connection with the transfer of the liabilities in an orderly transaction between market participants at the measurement date. In connection with measuring the fair value of its assets and liabilities, the Company seeks to maximize the use of observable inputs (market data obtained from independent sources) and to minimize the use of unobservable inputs (internal assumptions about how market participants would price assets and liabilities). The following fair value hierarchy is used to classify assets and liabilities based on the observable inputs and unobservable inputs used in order to value the assets and liabilities:

Level 1: Quoted prices in active markets for identical assets or liabilities. An active market for an asset or liability is a market in which transactions for the asset or liability occur with sufficient frequency and volume to provide pricing information on an ongoing basis.

Level 2: Observable inputs other than Level 1 inputs. Examples of Level 2 inputs include quoted prices in active markets for similar assets or liabilities and quoted prices for identical assets or liabilities in markets that are not active.

Level 3: Unobservable inputs based on our assessment of the assumptions that market participants would use in pricing the asset or liability.

The following table sets forth by level within the fair value hierarchy the Company’s assets and liabilities that were accounted for at fair value on a recurring basis at June 30, 2023:

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The following table presents the changes in the fair value of derivative warrant liabilities for the three and six months ended June 30, 2023:

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Measurement

The Company established the initial fair value for the warrants on January 24, 2022, the date of the consummation of the Company’s Initial Public Offering. The Company used a Monte Carlo simulation model to value the warrants. The Company allocated the proceeds received from (i) the sale of Units (which is inclusive of one share of Class A common stock and one-half of one Public Warrant), (ii) the sale of Private Placement Warrants, and (iii) the issuance of Class B common stock, first to the warrants based on their fair values as determined at initial measurement, with the remaining proceeds allocated to shares of Class A common stock subject to possible redemption (temporary equity), Class A common stock (permanent equity) and Class B common stock (permanent equity) based on their relative fair values at the initial measurement date.

The key inputs into the Monte Carlo simulation model formula were as follows at June 30, 2023:

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On March 10, 2022, the Public Warrants detached from the Units and are separately tradable (NYSE: BYN.WS). As such, the fair value of the Public Warrants as of June 30, 2023, is based on the price of the Public Warrants at market close.

The key inputs into the Monte Carlo simulation model formula were as follows at January 24, 2022:

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Non-recurring Fair Value Measurements

In April 2023, the Company entered into non-redemption agreements with certain unaffiliated third parties (see Note 8). The Company accounts for the excess fair value of the Class B shares that will be transferred from the Sponsor to the unaffiliated third parties upon the consummation of the Initial Business Combination as an offering cost and a capital contribution by the Sponsor in accordance with SAB Topic 5A. The Company estimated the fair value of the 1,018,750 transferrable shares Class B common stock at $893,000, or $0.88 per share.

The fair value of the Class B shares was determined by multiplying the underlying stock price of the Company’s Class A common stock by the estimated probability of the Initial Business Combination and applying a discount for lack of marketability (“DLOM”). The Company utilized April 12, 2023 as the measurement date which reflects the execution date of the majority of non-redemption agreements.

The following are the key inputs into the calculation at the measurement date:

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NOTE 9 — FAIR VALUE MEASUREMENTS

At December 31, 2022, the Company’s warrant liability was valued at $599,875. Under the guidance in ASC 815-40, the Public Warrants and the Private Placement Warrants do not meet the criteria for equity treatment. As such, the Public Warrants and the Private Placement Warrants must be recorded on the balance sheet at fair value. This valuation is subject to re-measurement at each balance sheet date. With each re-measurement, the valuations will be adjusted to fair value, with the change in fair value recognized in the Company’s statement of operations.

The following table presents fair value information as of December 31, 2022, of the Company’s financial assets and liabilities that were accounted for at fair value on a recurring basis and indicates the fair value hierarchy of the valuation techniques the Company utilized to determine such fair value. The Company’s warrant liability is based on a valuation model utilizing management judgment and pricing inputs from observable and unobservable markets with less volume and transaction frequency than active markets. Significant deviations from these estimates and inputs could result in a material change in fair value. The fair value of the private warrant liability is classified within Level 3 of the fair value hierarchy. The Company transferred the fair value of Public Warrants from a Level 3 measurement to a Level 1 measurement as a result of the Public Warrants detaching from the Units and becoming separately tradable:

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The fair value of the Company’s financial assets and liabilities reflects management’s estimate of amounts that the Company would have received in connection with the sale of the assets or paid in connection with the transfer of the liabilities in an orderly transaction between market participants at the measurement date. In connection with measuring the fair value of its assets and liabilities, the Company seeks to maximize the use of observable inputs (market data obtained from independent sources) and to minimize the use of unobservable inputs (internal assumptions about how market participants would price assets and liabilities). The following fair value hierarchy is used to classify assets and liabilities based on the observable inputs and unobservable inputs used in order to value the assets and liabilities:

Level 1: Quoted prices in active markets for identical assets or liabilities. An active market for an asset or liability is a market in which transactions for the asset or liability occur with sufficient frequency and volume to provide pricing information on an ongoing basis.

Level 2: Observable inputs other than Level 1 inputs. Examples of Level 2 inputs include quoted prices in active markets for similar assets or liabilities and quoted prices for identical assets or liabilities in markets that are not active.

Level 3: Unobservable inputs based on our assessment of the assumptions that market participants would use in pricing the asset or liability.

The following table sets forth by level within the fair value hierarchy the Company’s assets and liabilities that were accounted for at fair value on a recurring basis at December 31, 2022:

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The following table presents the changes in the fair value of derivative warrant liabilities for the twelve months ended December 31, 2022:

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Measurement

The Company established the initial fair value for the warrants on January 24, 2022, the date of the consummation of the Company’s Initial Public Offering. The Company used a Monte Carlo simulation model to value the warrants. The Company allocated the proceeds received from (i) the sale of Units (which is inclusive of one share of Class A common stock and one-half of one Public Warrant), (ii) the sale of Private Placement Warrants, and (iii) the issuance of Class B common stock, first to the warrants based on their fair values as determined at initial measurement, with the remaining proceeds allocated to shares of Class A common stock subject to possible redemption (temporary equity), Class A common stock (permanent equity) and Class B common stock (permanent equity) based on their relative fair values at the initial measurement date.

The key inputs into the Monte Carlo simulation model formula were as follows at December 31, 2022:

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During the twelve ended December 31, 2022, the Public Warrants detached from the Units and are separately tradable (NYSE: BYN.WS). As such, the fair value of the Public Warrants as of December 31, 2022 is based on the price of the Public Warrants at market close.

The key inputs into the Monte Carlo simulation model formula were as follows at January 24, 2022:

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