SentinelOne (S) Total Liabilities (2021 - 2026)
SentinelOne (S) posted Total Liabilities of $932.96 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 10.7% from $842.7 million a year earlier and up 1.6% from the prior quarter.
SentinelOne (S) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), SentinelOne's Total Liabilities came in at $1 billion, up 35.7% from FY2025.
- Annual Total Liabilities has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 3.5% (FY2021 to FY2026).
- In prior fiscal years, SentinelOne's Total Liabilities was $737.38 million in FY2025 (+1.4%), $727.36 million in FY2024 (+20.8%), $602.21 million in FY2023 (+53.9%) and $391.39 million in FY2022 (-53.5%).
- Quarterly Total Liabilities has run from a low of $302.05 million in fiscal Q3 2022 to a high of $1 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last 17 quarters, with growth averaging 17.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2023, with growth of 101.6%; the weakest was fiscal Q4 2022, with a decline of 53.5%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $918.17 million (Q1 2027), $1 billion (Q4 2026) and $882.05 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | SentinelOne | 7.87 Bn | 5.27 Bn | 210.42 Mn | 932.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 932.96 Mn |
| Apr 30, 2026 | 918.17 Mn |
| Jan 31, 2026 | 1.00 Bn |
| Oct 31, 2025 | 882.05 Mn |
| Jul 31, 2025 | 842.70 Mn |
| Apr 30, 2025 | 837.41 Mn |
| Jan 31, 2025 | 737.38 Mn |
| Oct 31, 2024 | 727.50 Mn |
| Jul 31, 2024 | 713.43 Mn |
| Apr 30, 2024 | 694.11 Mn |
| Jan 31, 2024 | 727.36 Mn |
| Oct 31, 2023 | 615.04 Mn |
| Jul 31, 2023 | 617.88 Mn |
| Apr 30, 2023 | 595.61 Mn |
| Jan 31, 2023 | 602.21 Mn |
| Oct 31, 2022 | 532.49 Mn |
| Jul 31, 2022 | 525.28 Mn |
| Apr 30, 2022 | 391.21 Mn |
| Jan 31, 2022 | 391.39 Mn |
| Oct 31, 2021 | 302.05 Mn |
SentinelOne Total Liabilities 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=total-liabilities&ticker=S&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=S&period=max&api_key=YOUR_API_KEY");
const data = await res.json();