Brand Engagement Network (BNAI) Total Non-Current Liabilities (2020 - 2026)
Brand Engagement Network's Total Non-Current Liabilities came in at $8.6 million for Q1 2026, down 39.9% from $14.32 million a year earlier and down 22.7% from the prior quarter.
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Analysis
Brand Engagement Network (BNAI) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Brand Engagement Network's Total Non-Current Liabilities was $11.12 million, down 23.8% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 192.9% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $14.59 million in FY2024 (+238.1%), $4.31 million in FY2023 (-98.6%), $314.06 million in FY2022 (-2.3%) and $321.31 million in FY2021.
- The Q1 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q4 2023.
- Year-over-year, Total Non-Current Liabilities has declined for four consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2024 (growth of 238.1%), and the weakest in Q4 2023 (a decline of 98.6%).
- Business Quant data shows BNAI's Total Non-Current Liabilities at $11.12 million (Q4 2025), $12.67 million (Q3 2025) and $10.8 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Brand Engagement Network | 39.41 Mn | 37.31 Mn | - | 8.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 8.60 Mn |
| Dec 31, 2025 | 11.12 Mn |
| Sep 30, 2025 | 12.67 Mn |
| Jun 30, 2025 | 10.80 Mn |
| Mar 31, 2025 | 14.32 Mn |
| Dec 31, 2024 | 14.59 Mn |
| Sep 30, 2024 | 13.05 Mn |
| Jun 30, 2024 | 12.89 Mn |
| Mar 31, 2024 | 14.28 Mn |
| Dec 31, 2023 | 4.31 Mn |
| Sep 30, 2023 | 31.13 Mn |
| Jun 30, 2023 | 31.53 Mn |
| Mar 31, 2023 | 47.92 Mn |
| Dec 31, 2022 | 314.06 Mn |
| Sep 30, 2022 | 327.50 Mn |
| Jun 30, 2022 | 323.13 Mn |
| Mar 31, 2022 | 322.80 Mn |
| Dec 31, 2021 | 321.31 Mn |
| Sep 30, 2021 | 320.74 Mn |
| Jun 30, 2021 | 320.48 Mn |
API Access
Brand Engagement Network 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=BNAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=BNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();