Brand Engagement Network (BNAI) Total Liabilities (2020 - 2026)
Brand Engagement Network (BNAI) reported Total Liabilities of $9.03 million for Q1 2026, down 38.3% from $14.63 million a year earlier and down 23.8% from the prior quarter.
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Analysis
Brand Engagement Network (BNAI) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Brand Engagement Network posted Total Liabilities of $11.84 million, down 23.6% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 196.7% (FY2020 to FY2025).
- By year, Total Liabilities came in at $15.51 million in FY2024 (+259.4%), $4.31 million in FY2023 (-98.6%), $314.23 million in FY2022 (-4.7%) and $329.61 million in FY2021.
- The Q1 2026 figure ranks as the lowest quarterly Total Liabilities since Q4 2023.
- Year over year, Total Liabilities has now declined in each of the last five quarters, with growth averaging 6.0% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2024 (growth of 259.4%); the low point was Q4 2023 (a decline of 98.6%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $11.84 million (Q4 2025), $12.92 million (Q3 2025) and $11.3 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Brand Engagement Network | 38.76 Mn | 36.66 Mn | - | 9.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 9.03 Mn |
| Dec 31, 2025 | 11.84 Mn |
| Sep 30, 2025 | 12.92 Mn |
| Jun 30, 2025 | 11.30 Mn |
| Mar 31, 2025 | 14.63 Mn |
| Dec 31, 2024 | 15.51 Mn |
| Sep 30, 2024 | 14.20 Mn |
| Jun 30, 2024 | 13.41 Mn |
| Mar 31, 2024 | 16.25 Mn |
| Dec 31, 2023 | 4.31 Mn |
| Sep 30, 2023 | 32.44 Mn |
| Jun 30, 2023 | 32.31 Mn |
| Mar 31, 2023 | 48.47 Mn |
| Dec 31, 2022 | 314.23 Mn |
| Sep 30, 2022 | 329.15 Mn |
| Jun 30, 2022 | 324.33 Mn |
| Mar 31, 2022 | 326.60 Mn |
| Dec 31, 2021 | 329.61 Mn |
| Sep 30, 2021 | 332.25 Mn |
| Jun 30, 2021 | 337.31 Mn |
API Access
Brand Engagement Network Total 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-liabilities&ticker=BNAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=BNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();