Braze (BRZE) Operating Expenses (2020 - 2026)
Braze (BRZE) reported Operating Expenses of $169.98 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 5.8% from $160.64 million a year earlier and up 2.3% from the prior quarter.
Braze (BRZE) Operating Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Braze's Operating Expenses came in at $664.5 million, up 13.9% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $640.41 million, up 20.3% from FY2025.
- Operating Expenses has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 38.0% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $532.38 million in FY2025 (+13.5%), $468.97 million in FY2024 (+20.9%), $387.75 million in FY2023 (+63.1%) and $237.74 million in FY2022 (+86.0%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q3 2021.
- Year over year, Operating Expenses has now increased in each of the last 20 quarters, with growth averaging 15.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 5.8% in fiscal Q2 2027 to 131.2% in fiscal Q4 2022.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $166.18 million (Q1 2027), $162.59 million (Q4 2026) and $165.76 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Braze | 2.63 Bn | 1.04 Bn | 151.86 Mn | 169.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 169.98 Mn |
| Apr 30, 2026 | 166.18 Mn |
| Jan 31, 2026 | 162.59 Mn |
| Oct 31, 2025 | 165.76 Mn |
| Jul 31, 2025 | 160.64 Mn |
| Apr 30, 2025 | 151.42 Mn |
| Jan 31, 2025 | 132.65 Mn |
| Oct 31, 2024 | 138.71 Mn |
| Jul 31, 2024 | 130.03 Mn |
| Apr 30, 2024 | 130.99 Mn |
| Jan 31, 2024 | 120.26 Mn |
| Oct 31, 2023 | 122.72 Mn |
| Jul 31, 2023 | 115.00 Mn |
| Apr 30, 2023 | 110.99 Mn |
| Jan 31, 2023 | 101.77 Mn |
| Oct 31, 2022 | 100.85 Mn |
| Jul 31, 2022 | 93.89 Mn |
| Apr 30, 2022 | 91.24 Mn |
| Jan 31, 2022 | 88.25 Mn |
| Oct 31, 2021 | 55.24 Mn |
Braze 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=BRZE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BRZE", "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=BRZE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();