BioAtla (BCAB) Research & Development (2020 - 2026)
BioAtla's Research & Development was $3.34 million in Q2 2026, down 75.6% from $13.68 million a year earlier and down 27.1% from the prior quarter.
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Analysis
BioAtla (BCAB) Research & Development (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, BioAtla's Research & Development was $25.46 million through Jun 30, 2026, down 52.9% year-over-year; for FY2025, it came in at $43.57 million, down 30.9% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- In earlier years, Research & Development was $63.1 million in FY2024 (-39.2%), $103.73 million in FY2023 (+30.7%), $79.35 million in FY2022 (+36.2%) and $58.27 million in FY2021 (+192.3%).
- The Q2 2026 figure marks the lowest quarterly Research & Development since Q2 2020.
- Compared with a year earlier, Research & Development has declined for ten straight quarters, with an average decline of 44.1% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q3 2021 (growth of 240.3%); the worst was Q2 2026 (a decline of 75.6%).
- Per Business Quant data, BCAB's Research & Development in the three quarters before Q2 2026 was $4.58 million (Q1 2026), $8 million (Q4 2025) and $9.54 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | BioAtla | 2.66 Mn | 2.66 Mn | - | 3.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.34 Mn |
| Mar 31, 2026 | 4.58 Mn |
| Dec 31, 2025 | 8.00 Mn |
| Sep 30, 2025 | 9.54 Mn |
| Jun 30, 2025 | 13.68 Mn |
| Mar 31, 2025 | 12.36 Mn |
| Dec 31, 2024 | 11.65 Mn |
| Sep 30, 2024 | 16.40 Mn |
| Jun 30, 2024 | 16.20 Mn |
| Mar 31, 2024 | 18.85 Mn |
| Dec 31, 2023 | 22.67 Mn |
| Sep 30, 2023 | 28.40 Mn |
| Jun 30, 2023 | 30.96 Mn |
| Mar 31, 2023 | 21.70 Mn |
| Dec 31, 2022 | 21.87 Mn |
| Sep 30, 2022 | 19.84 Mn |
| Jun 30, 2022 | 20.71 Mn |
| Mar 31, 2022 | 16.92 Mn |
| Dec 31, 2021 | 16.45 Mn |
| Sep 30, 2021 | 16.55 Mn |
API Access
BioAtla Research & Development 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=research-and-development&ticker=BCAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=BCAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();