bioAffinity Technologies (BIAF) Operating Expenses (2021 - 2026)
bioAffinity Technologies' Operating Expenses was $4.85 million in Q2 2026, up 28.0% from $3.79 million a year earlier but down 2.5% from the prior quarter.
bioAffinity Technologies (BIAF) Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, bioAffinity Technologies' Operating Expenses was $18.28 million through Jun 30, 2026, up 3.0% year-over-year; for FY2025, it was $16.73 million, down 8.6% from FY2024.
- Operating Expenses shows a four-year compound annual growth rate of 65.9% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $18.32 million in FY2024 (+74.3%), $10.51 million in FY2023 (+161.6%), $4.02 million in FY2022 (+82.0%) and $2.21 million in FY2021.
- Quarterly Operating Expenses has moved between $526,293 (Q3 2021) and $5.15 million (Q4 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 10.5%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2023 (growth of 180.1%); the worst was Q2 2025 (a decline of 15.6%).
- Per Business Quant data, BIAF's Operating Expenses in the three quarters before Q2 2026 was $4.97 million (Q1 2026), $4.73 million (Q4 2025) and $3.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 93.06 Bn | 92.50 Bn | - | 17.74 Bn |
| 2 | Natera | 59.36 Bn | 55.04 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 25.72 Bn | 24.15 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 24.93 Bn | 22.69 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Guardant Health | 23.83 Bn | 19.89 Bn | 219.03 Mn | 464.10 Mn |
| 6 | Tenet Healthcare | 20.58 Bn | 11.72 Bn | - | - |
| 7 | Tempus AI | 14.35 Bn | 11.38 Bn | 246.50 Mn | 458.40 Mn |
| 8 | Encompass Health | 11.99 Bn | 12.46 Bn | - | 1.31 Bn |
| 9 | BrightSpring Health Services | 11.21 Bn | 9.55 Bn | 492.75 Mn | 362.36 Mn |
| 10 | bioAffinity Technologies | 2.29 Mn | -17.39 Mn | - | 4.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.85 Mn |
| Mar 31, 2026 | 4.97 Mn |
| Dec 31, 2025 | 4.73 Mn |
| Sep 30, 2025 | 3.74 Mn |
| Jun 30, 2025 | 3.79 Mn |
| Mar 31, 2025 | 4.48 Mn |
| Dec 31, 2024 | 5.15 Mn |
| Sep 30, 2024 | 4.32 Mn |
| Jun 30, 2024 | 4.49 Mn |
| Mar 31, 2024 | 4.35 Mn |
| Dec 31, 2023 | 4.56 Mn |
| Sep 30, 2023 | 2.59 Mn |
| Jun 30, 2023 | 1.80 Mn |
| Mar 31, 2023 | 1.56 Mn |
| Dec 31, 2022 | 1.63 Mn |
| Sep 30, 2022 | 977,160.00 |
| Jun 30, 2022 | 685,279.00 |
| Mar 31, 2022 | 727,043.00 |
| Dec 31, 2021 | 659,752.00 |
| Sep 30, 2021 | 526,293.00 |
bioAffinity Technologies Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=BIAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BIAF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=BIAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();