Brand Engagement Network (BNAI) Operating Expenses (2021 - 2026)
Brand Engagement Network (BNAI) posted Operating Expenses of $3.44 million for Q1 2026, down 17.4% from $4.16 million a year earlier and down 2.6% from the prior quarter.
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Analysis
Brand Engagement Network (BNAI) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Expenses at Brand Engagement Network was $12.18 million, down 64.0% year-over-year; for FY2025, it was $12.9 million, down 64.7% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 381.2% (FY2020 to FY2025).
- In prior years, Brand Engagement Network's Operating Expenses was $36.57 million in FY2024 (+212.2%), $11.72 million in FY2023 (+117.3%), $5.39 million in FY2022 (+133.1%) and $2.31 million in FY2021.
- Quarterly Operating Expenses has run from a low of $243,574 in Q2 2022 to a high of $18.07 million in Q4 2024 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last five quarters, with growth averaging 48.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 964.1%; the weakest was Q4 2025, with a decline of 80.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $3.53 million (Q4 2025), $2.38 million (Q3 2025) and $2.83 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 534.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 499.67 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Brand Engagement Network | 38.63 Mn | 36.53 Mn | - | 3.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.44 Mn |
| Dec 31, 2025 | 3.53 Mn |
| Sep 30, 2025 | 2.38 Mn |
| Jun 30, 2025 | 2.83 Mn |
| Mar 31, 2025 | 4.16 Mn |
| Dec 31, 2024 | 18.07 Mn |
| Sep 30, 2024 | 5.33 Mn |
| Jun 30, 2024 | 6.29 Mn |
| Mar 31, 2024 | 6.85 Mn |
| Dec 31, 2023 | 3.43 Mn |
| Sep 30, 2023 | 2.57 Mn |
| Jun 30, 2023 | 3.08 Mn |
| Mar 31, 2023 | 2.64 Mn |
| Dec 31, 2022 | 824,236.00 |
| Sep 30, 2022 | 2.62 Mn |
| Jun 30, 2022 | 243,574.00 |
| Mar 31, 2022 | 1.70 Mn |
| Dec 31, 2021 | 851,046.00 |
| Sep 30, 2021 | 549,272.00 |
| Jun 30, 2021 | 752,597.00 |
API Access
Brand Engagement Network Operating Expenses 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=operating-expenses&ticker=BNAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();