Brand Engagement Network (BNAI) Return on Capital Employed [ROCE] (2021 - 2026)
Brand Engagement Network (BNAI) recorded Return on Capital Employed [ROCE] of -157.52% in Q1 2026, up 697.09 percentage points from -854.61% a year earlier and up 93.66 percentage points from the prior quarter.
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Analysis
Brand Engagement Network (BNAI) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Brand Engagement Network reported Return on Capital Employed [ROCE] of -213.44%, up 412.32 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a four-year change of -211.94 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -625.76% in FY2024 (-618.68 pp), -7.08% in FY2023 (-5.33 pp), -1.76% in FY2022 (-0.26 pp) and -1.50% in FY2021.
- The Q1 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in two of the last eight quarters, with an average year-over-year change of -160.73 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 697.09 percentage points in Q1 2026, against a drop of 757.56 percentage points in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -251.18% (Q4 2025), -623.25% (Q3 2025) and -430.57% (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.30% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 3.21% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 0.40% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | -0.47% |
| 10 | Brand Engagement Network | 39.08 Mn | 36.99 Mn | - | -157.52% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -157.52% |
| Dec 31, 2025 | -251.18% |
| Sep 30, 2025 | -623.25% |
| Jun 30, 2025 | -430.57% |
| Mar 31, 2025 | -854.61% |
| Dec 31, 2024 | -337.48% |
| Sep 30, 2024 | -109.09% |
| Jun 30, 2024 | -84.48% |
| Mar 31, 2024 | -97.04% |
| Dec 31, 2023 | -35.94% |
| Sep 30, 2023 | -22.07% |
| Jun 30, 2023 | -21.60% |
| Mar 31, 2023 | -3.60% |
| Dec 31, 2022 | -1.75% |
| Sep 30, 2022 | -1.77% |
| Jun 30, 2022 | -1.09% |
| Mar 31, 2022 | -1.25% |
| Dec 31, 2021 | -0.75% |
API Access
Brand Engagement Network Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=BNAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=BNAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();