Brand Engagement Network (BNAI) EBITDA (2023 - 2026)
Brand Engagement Network (BNAI) recorded EBITDA of -$2.29 million in Q1 2026, compared with -$3.21 million a year earlier.
Brand Engagement Network (BNAI) EBITDA (2023 - 2026) Analysis & Trends
On a TTM basis, Brand Engagement Network's EBITDA came in at -$7.79 million as of Mar 31, 2026; for FY2025, it was -$8.58 million.
- Across earlier years, EBITDA came in at -$33.75 million in FY2024 and -$11.04 million in FY2023.
- Quarterly EBITDA has ranged from -$17.12 million in Q4 2024 to -$1.39 million in Q3 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$2.26 million (Q4 2025), -$1.39 million (Q3 2025) and -$1.85 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.89 Bn | 240.96 Bn | 2.30 Bn | 693.00 Mn |
| 2 | CrowdStrike Holdings | 232.56 Bn | 212.96 Bn | 1.10 Bn | 170.34 Mn |
| 3 | Fortinet | 125.23 Bn | 111.16 Bn | 1.64 Bn | 827.40 Mn |
| 4 | Snowflake | 112.48 Bn | 99.80 Bn | 1.04 Bn | -134.60 Mn |
| 5 | Datadog | 91.74 Bn | 73.38 Bn | 881.34 Mn | 47.04 Mn |
| 6 | Zscaler | 34.50 Bn | 20.62 Bn | - | - |
| 7 | Okta | 33.95 Bn | 24.05 Bn | 641.00 Mn | 166.00 Mn |
| 8 | Axon Enterprise | 32.00 Bn | 26.52 Bn | 546.45 Mn | 79.24 Mn |
| 9 | MongoDB | 29.47 Bn | 19.94 Bn | 569.77 Mn | 35.33 Mn |
| 10 | Brand Engagement Network | 35.49 Mn | 24.41 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -2.29 Mn |
| Dec 31, 2025 | -2.26 Mn |
| Sep 30, 2025 | -1.39 Mn |
| Jun 30, 2025 | -1.85 Mn |
| Mar 31, 2025 | -3.21 Mn |
| Dec 31, 2024 | -17.12 Mn |
| Sep 30, 2024 | -4.31 Mn |
| Jun 30, 2024 | -5.61 Mn |
| Mar 31, 2024 | -5.25 Mn |
| Dec 31, 2023 | -3.21 Mn |
| Sep 30, 2023 | -2.36 Mn |
| Jun 30, 2023 | -2.86 Mn |
| Mar 31, 2023 | -2.62 Mn |
Brand Engagement Network EBITDA 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=ebitda&ticker=BNAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();