Brand Engagement Network (BNAI) Non-Current Assets (2021 - 2026)
Brand Engagement Network (BNAI) posted Non-Current Assets of $12.71 million for Q1 2026, down 20.8% from $16.06 million a year earlier and down 7.0% from the prior quarter.
Brand Engagement Network (BNAI) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Brand Engagement Network's Non-Current Assets came in at $13.67 million, down 19.2% from FY2024.
- Annual Non-Current Assets has declined for three consecutive years, with a four-year compound annual growth rate of -54.2% (FY2021 to FY2025).
- In prior years, Brand Engagement Network's Non-Current Assets was $16.92 million in FY2024 (-15.9%), $20.11 million in FY2023 (-93.6%), $313.91 million in FY2022 (+1.4%) and $309.45 million in FY2021.
- The Q1 2026 figure stands as the lowest quarterly Non-Current Assets in data going back to Q1 2021.
- On a year-over-year basis, Non-Current Assets has declined in each of the last 13 quarters, with an average decline of 35.5% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2022, with growth of 1.4%; the weakest was Q4 2023, with a decline of 93.6%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $13.67 million (Q4 2025), $14.54 million (Q3 2025) and $15.07 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.65 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 5.20 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 4.48 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 6.05 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.84 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 38.70 Bn |
| 10 | Brand Engagement Network | 38.76 Mn | 36.66 Mn | - | 12.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 12.71 Mn |
| Dec 31, 2025 | 13.67 Mn |
| Sep 30, 2025 | 14.54 Mn |
| Jun 30, 2025 | 15.07 Mn |
| Mar 31, 2025 | 16.06 Mn |
| Dec 31, 2024 | 16.92 Mn |
| Sep 30, 2024 | 30.77 Mn |
| Jun 30, 2024 | 31.61 Mn |
| Mar 31, 2024 | 32.50 Mn |
| Dec 31, 2023 | 20.11 Mn |
| Sep 30, 2023 | 49.20 Mn |
| Jun 30, 2023 | 48.62 Mn |
| Mar 31, 2023 | 48.10 Mn |
| Dec 31, 2022 | 313.91 Mn |
| Sep 30, 2022 | 311.30 Mn |
| Jun 30, 2022 | 309.90 Mn |
| Mar 31, 2022 | 309.48 Mn |
| Dec 31, 2021 | 309.45 Mn |
| Sep 30, 2021 | 309.45 Mn |
| Jun 30, 2021 | 309.45 Mn |
Brand Engagement Network Non-Current Assets 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=non-current-assets&ticker=BNAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=BNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();