SentinelOne (S) Receivables (2021 - 2026)
SentinelOne's Receivables was $230.19 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 22.3% from $188.23 million a year earlier and up 17.3% from the prior quarter.
SentinelOne (S) Receivables (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Receivables at SentinelOne came in at $295.78 million, up 22.5% from FY2025.
- Receivables has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 48.6% (FY2021 to FY2026).
- In earlier fiscal years, Receivables was $241.51 million in FY2025 (+10.7%), $218.12 million in FY2024 (+42.6%), $152.99 million in FY2023 (+48.5%) and $102.99 million in FY2022 (+152.3%).
- Quarterly Receivables has moved between $70.21 million (fiscal Q3 2022) and $295.78 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Receivables has increased for 17 straight quarters, with growth averaging 19.8% over the last eight quarters.
- The year-over-year growth in Receivables has ranged between 5.5% (fiscal Q1 2025) and 152.3% (fiscal Q4 2022) over the last five years.
- Per Business Quant data, S's Receivables in the three fiscal quarters before Q2 2027 was $196.29 million (Q1 2027), $295.78 million (Q4 2026) and $210.66 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | SentinelOne | 7.87 Bn | 5.27 Bn | 210.42 Mn | 230.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 230.19 Mn |
| Apr 30, 2026 | 196.29 Mn |
| Jan 31, 2026 | 295.78 Mn |
| Oct 31, 2025 | 210.66 Mn |
| Jul 31, 2025 | 188.23 Mn |
| Apr 30, 2025 | 164.41 Mn |
| Jan 31, 2025 | 241.51 Mn |
| Oct 31, 2024 | 171.70 Mn |
| Jul 31, 2024 | 161.05 Mn |
| Apr 30, 2024 | 138.27 Mn |
| Jan 31, 2024 | 218.12 Mn |
| Oct 31, 2023 | 137.13 Mn |
| Jul 31, 2023 | 127.03 Mn |
| Apr 30, 2023 | 131.12 Mn |
| Jan 31, 2023 | 152.99 Mn |
| Oct 31, 2022 | 121.57 Mn |
| Jul 31, 2022 | 113.48 Mn |
| Apr 30, 2022 | 88.67 Mn |
| Jan 31, 2022 | 102.99 Mn |
| Oct 31, 2021 | 70.21 Mn |
SentinelOne Receivables 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=receivables&ticker=S&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=S&period=max&api_key=YOUR_API_KEY");
const data = await res.json();