Brand Engagement Network (BNAI) Price to Sales (2023 - 2026)
Brand Engagement Network's Price to Sales came in at 666.01 for Q1 2026, up 170.2% from 246.47 a year earlier.
Analysis
Brand Engagement Network (BNAI) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Brand Engagement Network's Price to Sales was 36.90, down 88.5% from FY2024.
- Going back by year, Price to Sales was 321.20 in FY2024 (-95.8%) and 7595.04 in FY2023.
- The Q1 2026 figure represents the highest quarterly Price to Sales since Q2 2024.
- Year-over-year, Price to Sales increased in 1 of the last six quarters, with an average decline of 36.9%.
- Business Quant data shows BNAI's Price to Sales at 36.90 (Q4 2025), 175.65 (Q3 2025) and 296.50 (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Brand Engagement Network | 39.08 Mn | 36.99 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 666.01 |
| Dec 31, 2025 | 36.90 |
| Sep 30, 2025 | 175.65 |
| Jun 30, 2025 | 296.50 |
| Mar 31, 2025 | 246.47 |
| Dec 31, 2024 | 321.20 |
| Sep 30, 2024 | 292.22 |
| Jun 30, 2024 | 1,465.08 |
| Mar 31, 2024 | 2,003.87 |
| Dec 31, 2023 | 7,595.04 |
API Access
Brand Engagement Network Price to Sales 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=price-to-sales&ticker=BNAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=BNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();