Brand Engagement Network (BNAI) Asset Utilization Ratio (2023 - 2026)
Brand Engagement Network's (BNAI) Asset Utilization Ratio stood at 0.02 in Q1 2026, up 602.9% from 0.00 a year earlier and up 34.5% from the prior quarter.
Brand Engagement Network (BNAI) Asset Utilization Ratio (2023 - 2026) Analysis & Trends
Starting with Q4 2023, Brand Engagement Network's Asset Utilization Ratio history includes 10 quarters.
- Across earlier years, Asset Utilization Ratio came in at 0.00 in FY2024 and 0.00 in FY2023.
- The Q1 2026 figure is the highest quarterly Asset Utilization Ratio in data going back to Q4 2023.
- On a year-over-year basis, Asset Utilization Ratio has increased for six consecutive quarters, with growth averaging 220.4% over the last six quarters.
- Per Business Quant, the preceding three quarters came in at 0.02 (Q4 2025), 0.00 (Q3 2025) and 0.00 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 0.24 |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 0.46 |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 0.73 |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 0.63 |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 0.55 |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 0.33 |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 0.44 |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 0.27 |
| 10 | Brand Engagement Network | 39.41 Mn | 37.31 Mn | - | 0.02 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.02 |
| Dec 31, 2025 | 0.02 |
| Sep 30, 2025 | 0.00 |
| Jun 30, 2025 | 0.00 |
| Mar 31, 2025 | 0.00 |
| Dec 31, 2024 | 0.00 |
| Sep 30, 2024 | 0.00 |
| Jun 30, 2024 | 0.00 |
| Mar 31, 2024 | 0.00 |
| Dec 31, 2023 | 0.00 |
Brand Engagement Network Asset Utilization Ratio 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=asset-utilization-ratio&ticker=BNAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=BNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();