Sprinklr (CXM) Research & Development (2020 - 2026)
Sprinklr (CXM) posted Research & Development of $24.43 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 5.5% from $23.16 million a year earlier and up 4.6% from the prior quarter.
Sprinklr (CXM) Research & Development (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Research & Development at Sprinklr was $97.82 million, up 6.5% year-over-year; for FY2026 (ended Jan 31, 2026), it was $96 million, up 4.8% from FY2025.
- Annual Research & Development has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 19.0% (FY2021 to FY2026).
- In prior fiscal years, Sprinklr's Research & Development was $91.62 million in FY2025 (+0.4%), $91.29 million in FY2024 (+19.1%), $76.66 million in FY2023 (+26.5%) and $60.59 million in FY2022 (+50.4%).
- Quarterly Research & Development has run from a low of $15.87 million in fiscal Q4 2022 to a high of $25.32 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Research & Development has increased in each of the last four quarters, with growth averaging 3.2% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was fiscal Q3 2022, with growth of 59.6%; the weakest was fiscal Q2 2025, with a decline of 4.5%.
- According to Business Quant data, Research & Development for the three prior fiscal quarters was $23.36 million (Q1 2027), $25.32 million (Q4 2026) and $24.71 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 192.51 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 2.40 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -2.14 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 1.69 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 915.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 265.90 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 857.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 23.10 Mn |
| 10 | Sprinklr | 1.18 Bn | 435.58 Mn | 139.19 Mn | 24.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 24.43 Mn |
| Apr 30, 2026 | 23.36 Mn |
| Jan 31, 2026 | 25.32 Mn |
| Oct 31, 2025 | 24.71 Mn |
| Jul 31, 2025 | 23.16 Mn |
| Apr 30, 2025 | 22.81 Mn |
| Jan 31, 2025 | 22.56 Mn |
| Oct 31, 2024 | 23.30 Mn |
| Jul 31, 2024 | 23.23 Mn |
| Apr 30, 2024 | 22.54 Mn |
| Jan 31, 2024 | 23.06 Mn |
| Oct 31, 2023 | 23.15 Mn |
| Jul 31, 2023 | 24.32 Mn |
| Apr 30, 2023 | 20.76 Mn |
| Jan 31, 2023 | 20.13 Mn |
| Oct 31, 2022 | 19.21 Mn |
| Jul 31, 2022 | 19.99 Mn |
| Apr 30, 2022 | 17.33 Mn |
| Jan 31, 2022 | 15.87 Mn |
| Oct 31, 2021 | 16.59 Mn |
Sprinklr Research & Development 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=research-and-development&ticker=CXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=CXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();