Brand Engagement Network (BNAI) Total Current Liabilities (2020 - 2026)
Brand Engagement Network (BNAI) posted Total Current Liabilities of $8.31 million for Q1 2026, down 41.0% from $14.09 million a year earlier and down 23.1% from the prior quarter.
Brand Engagement Network (BNAI) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Brand Engagement Network's Total Current Liabilities came in at $10.81 million, down 24.1% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 191.3% (FY2020 to FY2025).
- In prior years, Brand Engagement Network's Total Current Liabilities was $14.25 million in FY2024 (+353.0%), $3.15 million in FY2023 (-42.2%), $5.44 million in FY2022 (+431.0%) and $1.02 million in FY2021.
- The Q1 2026 figure stands as the lowest quarterly Total Current Liabilities since Q4 2023.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last four quarters, with growth averaging 56.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2022, with growth of 431.0%; the weakest was Q4 2023, with a decline of 42.2%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $10.81 million (Q4 2025), $12.31 million (Q3 2025) and $10.44 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 13.13 Bn |
| 10 | Brand Engagement Network | 38.76 Mn | 36.66 Mn | - | 8.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 8.31 Mn |
| Dec 31, 2025 | 10.81 Mn |
| Sep 30, 2025 | 12.31 Mn |
| Jun 30, 2025 | 10.44 Mn |
| Mar 31, 2025 | 14.09 Mn |
| Dec 31, 2024 | 14.25 Mn |
| Sep 30, 2024 | 13.05 Mn |
| Jun 30, 2024 | 12.89 Mn |
| Mar 31, 2024 | 13.11 Mn |
| Dec 31, 2023 | 3.15 Mn |
| Sep 30, 2023 | 7.74 Mn |
| Jun 30, 2023 | 6.10 Mn |
| Mar 31, 2023 | 5.69 Mn |
| Dec 31, 2022 | 5.44 Mn |
| Sep 30, 2022 | 5.38 Mn |
| Jun 30, 2022 | 2.40 Mn |
| Mar 31, 2022 | 2.52 Mn |
| Dec 31, 2021 | 1.02 Mn |
| Sep 30, 2021 | 458,377.00 |
| Jun 30, 2021 | 200,185.00 |
Brand Engagement Network 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=BNAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "BNAI", "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=BNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();