Company: BIAF
Filing Date: 2025-06-27
Form Type: POS AM
Source: 0001641172-25-016927
Chunk: 211

Company: bioAffinity Technologies, Inc.
Filing Date: 2025-06-27
Form: POS AM
Chunk 211
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 amortization |     |          | (536,251 | ) |     |   | (373,123 | ) |
| Total                         
 property and equipment, net   |     | $        |  375,385 |   |     | $ |  458,633 |   |

Total property and equipment depreciation and amortization expense was $ 162,332 and $ 233,064 for the years ended December 31, 2024 and 2023, respectively.

Note 6. ACCRUED EXPENSES

Accrued expenses at December 31, 2024 and 2023, are summarized below:

SCHEDULE OF ACCRUED EXPENSES

|                        |     | December 
 31,      |      2024 |     |   |      2023 |
|:-----------------------|:----|:---------|----------:|:----|:--|----------:|
| Compensation           |     | $        | 1,079,839 |     | $ |   857,037 |
| Legal and professional |     |          |    98,477 |     |   |   257,926 |
| Clinical               |     |          |   160,371 |     |   |    15,350 |
| Other                  |     |          |    60,035 |     |   |    19,498 |
| Total                  
 accrued expenses       |     | $        | 1,398,722 |     | $ | 1,149,811 |

Note 7. UNEARNED REVENUE

The Company engaged in an observational study of CyPath ®Lung with the DOD. A total of 70 CyPath ®Lung units were ordered and shipped. However, in compliance with FASB ASC 606, the performance obligation was complete for only 40 units as of December 31, 2024. The performance obligation is deemed complete after samples have been collected and processed and results analyzed. The unearned revenue balance amounted to $ 24,404 and $ 33,058 as of December 31, 2024 and 2023, respectively.

| F-25 |

Note 8. FAIR VALUE MEASUREMENTS

The Company analyzes all financial instruments with features of both liabilities and equity under the FASB accounting standard for such instruments. Under this standard, financial assets and liabilities are classified in their entirety based on the lowest level of input that is significant