BioAtla (BCAB) Total Current Liabilities (2020 - 2026)
BioAtla (BCAB) posted Total Current Liabilities of $21.02 million for Q2 2026, up 26.6% from $16.6 million a year earlier and up 1.6% from the prior quarter.
BioAtla (BCAB) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, BioAtla's Total Current Liabilities came in at $21.92 million, up 50.8% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -7.4% (FY2020 to FY2025).
- In prior years, BioAtla's Total Current Liabilities was $14.54 million in FY2024 (-48.7%), $28.34 million in FY2023 (+22.5%), $23.13 million in FY2022 (+16.7%) and $19.81 million in FY2021 (-38.6%).
- Quarterly Total Current Liabilities has run from a low of $14.54 million in Q4 2024 to a high of $45.23 million in Q3 2021 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last three quarters, with an average decline of 2.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2023, with growth of 52.8%; the weakest was Q4 2024, with a decline of 48.7%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $20.69 million (Q1 2026), $21.92 million (Q4 2025) and $17.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 3.94 Bn |
| 10 | BioAtla | 2.49 Mn | 2.49 Mn | - | 21.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.02 Mn |
| Mar 31, 2026 | 20.69 Mn |
| Dec 31, 2025 | 21.92 Mn |
| Sep 30, 2025 | 17.98 Mn |
| Jun 30, 2025 | 16.60 Mn |
| Mar 31, 2025 | 16.01 Mn |
| Dec 31, 2024 | 14.54 Mn |
| Sep 30, 2024 | 19.46 Mn |
| Jun 30, 2024 | 17.46 Mn |
| Mar 31, 2024 | 19.26 Mn |
| Dec 31, 2023 | 28.34 Mn |
| Sep 30, 2023 | 35.60 Mn |
| Jun 30, 2023 | 33.65 Mn |
| Mar 31, 2023 | 26.26 Mn |
| Dec 31, 2022 | 23.13 Mn |
| Sep 30, 2022 | 23.83 Mn |
| Jun 30, 2022 | 25.51 Mn |
| Mar 31, 2022 | 17.19 Mn |
| Dec 31, 2021 | 19.81 Mn |
| Sep 30, 2021 | 45.23 Mn |
BioAtla Total 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-current-liabilities&ticker=BCAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=BCAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();