SentinelOne (S) Operating Expenses (2020 - 2026)
SentinelOne (S) recorded Operating Expenses of $301.18 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 14.8% from $262.33 million a year earlier and up 8.2% from the prior quarter.
Powered by 
Analysis
SentinelOne (S) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, SentinelOne's Operating Expenses came in at $1.12 billion as of Jul 31, 2026, up 10.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $1.06 billion, up 13.2% from FY2025.
- Annual Operating Expenses has increased for six straight fiscal years, with a five-year compound annual growth rate of 44.4% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $939.71 million in FY2025 (+14.6%), $820.29 million in FY2024 (+20.5%), $680.58 million in FY2023 (+74.3%) and $390.35 million in FY2022 (+130.6%).
- The fiscal Q2 2027 figure is the highest quarterly Operating Expenses in data going back to fiscal Q2 2021.
- On a year-over-year basis, Operating Expenses has increased for 21 consecutive quarters, with growth averaging 14.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 5.2% in fiscal Q1 2025 to 134.7% in fiscal Q3 2022.
- Per Business Quant, the preceding three fiscal quarters came in at $278.41 million (Q1 2027), $276.73 million (Q4 2026) and $264.37 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | SentinelOne | 7.87 Bn | 5.27 Bn | 210.42 Mn | 301.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 301.18 Mn |
| Apr 30, 2026 | 278.41 Mn |
| Jan 31, 2026 | 276.73 Mn |
| Oct 31, 2025 | 264.37 Mn |
| Jul 31, 2025 | 262.33 Mn |
| Apr 30, 2025 | 259.98 Mn |
| Jan 31, 2025 | 248.77 Mn |
| Oct 31, 2024 | 246.51 Mn |
| Jul 31, 2024 | 227.62 Mn |
| Apr 30, 2024 | 216.82 Mn |
| Jan 31, 2024 | 207.12 Mn |
| Oct 31, 2023 | 201.87 Mn |
| Jul 31, 2023 | 205.11 Mn |
| Apr 30, 2023 | 206.19 Mn |
| Jan 31, 2023 | 186.36 Mn |
| Oct 31, 2022 | 178.38 Mn |
| Jul 31, 2022 | 174.44 Mn |
| Apr 30, 2022 | 141.41 Mn |
| Jan 31, 2022 | 112.48 Mn |
| Oct 31, 2021 | 103.04 Mn |
API Access
SentinelOne 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=S&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "S", "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=S&period=max&api_key=YOUR_API_KEY");
const data = await res.json();