BioAtla (BCAB) Total Non-Current Liabilities (2020 - 2026)
BioAtla's Total Non-Current Liabilities was $25.94 million in Q2 2026, up 7.8% from $24.07 million a year earlier but down 0.5% from the prior quarter.
BioAtla (BCAB) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at BioAtla came in at $30.21 million, up 64.6% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $18.35 million in FY2024 (-37.1%), $29.18 million in FY2023 (+14.0%), $25.59 million in FY2022 (+7.5%) and $23.8 million in FY2021 (-27.8%).
- Quarterly Total Non-Current Liabilities has moved between $17.46 million (Q2 2024) and $45.23 million (Q3 2021) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for five straight quarters, with growth averaging 12.9% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2025 (growth of 64.6%); the worst was Q2 2024 (a decline of 50.6%).
- Per Business Quant data, BCAB's Total Non-Current Liabilities in the three quarters before Q2 2026 was $26.07 million (Q1 2026), $30.21 million (Q4 2025) and $27.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | BioAtla | 2.49 Mn | 2.49 Mn | - | 25.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.94 Mn |
| Mar 31, 2026 | 26.07 Mn |
| Dec 31, 2025 | 30.21 Mn |
| Sep 30, 2025 | 27.34 Mn |
| Jun 30, 2025 | 24.07 Mn |
| Mar 31, 2025 | 17.94 Mn |
| Dec 31, 2024 | 18.35 Mn |
| Sep 30, 2024 | 19.46 Mn |
| Jun 30, 2024 | 17.46 Mn |
| Mar 31, 2024 | 19.68 Mn |
| Dec 31, 2023 | 29.18 Mn |
| Sep 30, 2023 | 36.85 Mn |
| Jun 30, 2023 | 35.32 Mn |
| Mar 31, 2023 | 28.32 Mn |
| Dec 31, 2022 | 25.59 Mn |
| Sep 30, 2022 | 26.67 Mn |
| Jun 30, 2022 | 28.74 Mn |
| Mar 31, 2022 | 20.79 Mn |
| Dec 31, 2021 | 23.80 Mn |
| Sep 30, 2021 | 45.23 Mn |
BioAtla Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=BCAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=BCAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();