BioAtla (BCAB) Operating Expenses (2020 - 2026)
BioAtla (BCAB) recorded Operating Expenses of $6.27 million in Q2 2026, down 66.4% from $18.65 million a year earlier and down 32.6% from the prior quarter.
Powered by 
Analysis
BioAtla (BCAB) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, BioAtla's Operating Expenses came in at $40.63 million as of Jun 30, 2026, down 45.7% year-over-year; for FY2025, it was $61.31 million, down 27.8% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $84.94 million in FY2024 (-34.5%), $129.69 million in FY2023 (+19.9%), $108.14 million in FY2022 (+11.8%) and $96.69 million in FY2021 (+216.7%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q2 2020.
- On a year-over-year basis, Operating Expenses has declined for 11 consecutive quarters, with an average decline of 38.1% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 190.2% in Q3 2021, against a decline of 66.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.31 million (Q1 2026), $11.26 million (Q4 2025) and $13.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | BioAtla | 2.66 Mn | 2.66 Mn | - | 6.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.27 Mn |
| Mar 31, 2026 | 9.31 Mn |
| Dec 31, 2025 | 11.26 Mn |
| Sep 30, 2025 | 13.79 Mn |
| Jun 30, 2025 | 18.65 Mn |
| Mar 31, 2025 | 17.61 Mn |
| Dec 31, 2024 | 16.24 Mn |
| Sep 30, 2024 | 22.27 Mn |
| Jun 30, 2024 | 21.97 Mn |
| Mar 31, 2024 | 24.46 Mn |
| Dec 31, 2023 | 28.54 Mn |
| Sep 30, 2023 | 35.02 Mn |
| Jun 30, 2023 | 37.20 Mn |
| Mar 31, 2023 | 28.93 Mn |
| Dec 31, 2022 | 28.56 Mn |
| Sep 30, 2022 | 26.18 Mn |
| Jun 30, 2022 | 29.06 Mn |
| Mar 31, 2022 | 24.35 Mn |
| Dec 31, 2021 | 23.49 Mn |
| Sep 30, 2021 | 23.70 Mn |
API Access
BioAtla 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=BCAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BCAB", "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=BCAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();