SentinelOne (S) Accumulated Expenses (2021 - 2024)
SentinelOne (S) recorded Accumulated Expenses of $122.52 million in fiscal Q3 2025 (quarter ended Oct 31, 2024), up 22.7% from $99.87 million a year earlier and up 8.1% from the prior quarter.
SentinelOne (S) Accumulated Expenses (2021 - 2024) Analysis & Trends
At the end of FY2024 (ended Jan 31, 2024), SentinelOne reported Accumulated Expenses of $104.67 million, up 4.7% from FY2023.
- Annual Accumulated Expenses has increased for three straight fiscal years, with a three-year compound annual growth rate of 205.5% (FY2021 to FY2024).
- Across earlier fiscal years, Accumulated Expenses came in at $100.02 million in FY2023 (+341.4%), $22.66 million in FY2022 (+517.2%) and $3.67 million in FY2021.
- The fiscal Q3 2025 figure is the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2021.
- On a year-over-year basis, Accumulated Expenses has increased for ten consecutive quarters, with growth averaging 117.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Accumulated Expenses ran from 4.0% in fiscal Q1 2025 to 558.2% in fiscal Q3 2023.
- Per Business Quant, the preceding three fiscal quarters came in at $113.32 million (Q2 2025), $105.48 million (Q1 2025) and $104.67 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | SentinelOne | 8.23 Bn | 5.63 Bn | 210.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2024 | 122.52 Mn |
| Jul 31, 2024 | 113.32 Mn |
| Apr 30, 2024 | 105.48 Mn |
| Jan 31, 2024 | 104.67 Mn |
| Oct 31, 2023 | 99.87 Mn |
| Jul 31, 2023 | 104.48 Mn |
| Apr 30, 2023 | 101.41 Mn |
| Jan 31, 2023 | 100.02 Mn |
| Oct 31, 2022 | 95.28 Mn |
| Jul 31, 2022 | 31.91 Mn |
| Apr 30, 2022 | 23.82 Mn |
| Jan 31, 2022 | 22.66 Mn |
| Oct 31, 2021 | 14.48 Mn |
| Jul 31, 2021 | 11.14 Mn |
| Jan 31, 2021 | 3.67 Mn |
SentinelOne Accumulated 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=accumulated-expenses&ticker=S&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=S&period=max&api_key=YOUR_API_KEY");
const data = await res.json();