Brand Engagement Network (BNAI) Capital Expenditures (2023 - 2026)
Brand Engagement Network (BNAI) posted Capital Expenditures of -$8,297 for Q1 2026.
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Analysis
Brand Engagement Network (BNAI) Capital Expenditures (2023 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Capital Expenditures at Brand Engagement Network was $18,410, down 54.0% year-over-year; for FY2025, it was $23,512, down 55.7% from FY2024.
- In prior years, Brand Engagement Network's Capital Expenditures was $53,023 in FY2024 (+9.7%) and $48,349 in FY2023.
- The Q1 2026 figure stands as the highest quarterly Capital Expenditures since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 2.47 Mn |
| 10 | Brand Engagement Network | 39.08 Mn | 36.99 Mn | - | -8,297.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -8,297.00 |
| Sep 30, 2024 | 26,707.00 |
| Jun 30, 2024 | 13,279.00 |
| Mar 31, 2024 | 13,037.00 |
| Dec 31, 2023 | 19,884.00 |
| Sep 30, 2023 | 21,106.00 |
| Jun 30, 2023 | 7,359.00 |
API Access
Brand Engagement Network Capital Expenditures 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=capital-expenditures&ticker=BNAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=BNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();