Sprinklr (CXM) Restructuring Costs (2024 - 2026)
Sprinklr (CXM) posted Restructuring Costs of -$428,000 for fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with -$984,000 a year earlier.
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Analysis
Sprinklr (CXM) Restructuring Costs (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Restructuring Costs at Sprinklr was $333,000, down 97.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $16.79 million, up 495.0% from FY2025.
- In prior fiscal years, Sprinklr's Restructuring Costs was $2.82 million in FY2025 (-33.9%) and $4.27 million in FY2024.
- Quarterly Restructuring Costs has run from a low of -$984,000 in fiscal Q2 2026 to a high of $16.31 million in fiscal Q1 2026 over five years.
- According to Business Quant data, Restructuring Costs for the three prior fiscal quarters was -$654,000 (Q1 2027), $885,000 (Q4 2026) and $530,000 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Sprinklr | 1.18 Bn | 435.58 Mn | 139.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -428,000.00 |
| Apr 30, 2026 | -654,000.00 |
| Jan 31, 2026 | 885,000.00 |
| Oct 31, 2025 | 530,000.00 |
| Jul 31, 2025 | -984,000.00 |
| Apr 30, 2025 | 16.31 Mn |
| Jan 31, 2025 | -144,000.00 |
| Oct 31, 2024 | -865,000.00 |
| Jul 31, 2024 | 3.83 Mn |
API Access
Sprinklr Restructuring Costs 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=restructuring-costs&ticker=CXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=CXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();