Sprinklr (CXM) Shares Outstanding (Entity) (2020 - 2026)
Sprinklr (CXM) reported Shares Outstanding (Entity) of 237.05 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 3.3% from 245.1 million a year earlier but up 1.3% from the prior quarter.
Sprinklr (CXM) Shares Outstanding (Entity) (2020 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Sprinklr posted Shares Outstanding (Entity) of 248.72 million, down 2.6% from FY2025.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of -0.5% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Entity) came in at 255.44 million in FY2025 (-6.5%), 273.27 million in FY2024 (+3.6%), 263.74 million in FY2023 (+2.4%) and 257.52 million in FY2022 (+1.0%).
- Five-year quarterly Shares Outstanding (Entity) spans a low of 233.98 million in fiscal Q1 2027 and a high of 273.27 million in fiscal Q4 2024.
- Year over year, Shares Outstanding (Entity) has now declined in each of the last nine quarters, with an average decline of 4.9% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Entity) in five years was fiscal Q3 2022 (growth of 5.7%); the low point was fiscal Q1 2027 (a decline of 9.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 233.98 million (Q1 2027), 248.72 million (Q4 2026) and 245.81 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.40 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 3.02 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | - |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 823.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 397.80 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 268.38 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 351.96 Mn |
| 10 | Sprinklr | 1.17 Bn | 426.10 Mn | 139.19 Mn | 237.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 237.05 Mn |
| Apr 30, 2026 | 233.98 Mn |
| Jan 31, 2026 | 248.72 Mn |
| Oct 31, 2025 | 245.81 Mn |
| Jul 31, 2025 | 245.10 Mn |
| Apr 30, 2025 | 257.90 Mn |
| Jan 31, 2025 | 255.44 Mn |
| Oct 31, 2024 | 254.30 Mn |
| Jul 31, 2024 | 253.37 Mn |
| Apr 30, 2024 | 268.11 Mn |
| Jan 31, 2024 | 273.27 Mn |
| Oct 31, 2023 | 272.57 Mn |
| Jul 31, 2023 | 270.32 Mn |
| Apr 30, 2023 | 267.53 Mn |
| Jan 31, 2023 | 263.74 Mn |
| Oct 31, 2022 | 260.91 Mn |
| Jul 31, 2022 | 259.71 Mn |
| Apr 30, 2022 | 257.95 Mn |
| Jan 31, 2022 | 257.52 Mn |
| Oct 31, 2021 | 269.52 Mn |
Sprinklr Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=CXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "CXM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-entity&ticker=CXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();