Sprinklr (CXM) Property, Plant & Equipment (Net) (2021 - 2026)
Sprinklr's Property, Plant & Equipment (Net) was $31.3 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 0.9% from $31.6 million a year earlier and down 9.1% from the prior quarter.
Sprinklr (CXM) Property, Plant & Equipment (Net) (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Property, Plant & Equipment (Net) at Sprinklr came in at $33.45 million, up 5.9% from FY2025.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 30.0% (FY2021 to FY2026).
- In earlier fiscal years, Property, Plant & Equipment (Net) was $31.59 million in FY2025 (-1.8%), $32.18 million in FY2024 (+40.6%), $22.89 million in FY2023 (+55.6%) and $14.71 million in FY2022 (+63.2%).
- The fiscal Q2 2027 figure marks the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q1 2026.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in three of the last eight quarters, with growth averaging 1.4%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was fiscal Q4 2022 (growth of 63.2%); the worst was fiscal Q2 2026 (a decline of 5.9%).
- Per Business Quant data, CXM's Property, Plant & Equipment (Net) in the three fiscal quarters before Q2 2027 was $34.42 million (Q1 2027), $33.45 million (Q4 2026) and $33.02 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 61.40 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 127.85 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 3.04 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 2.18 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 641.30 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | 97.94 Mn |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 28.34 Mn |
| 10 | Sprinklr | 1.23 Bn | 485.36 Mn | 139.19 Mn | 31.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 31.30 Mn |
| Apr 30, 2026 | 34.42 Mn |
| Jan 31, 2026 | 33.45 Mn |
| Oct 31, 2025 | 33.02 Mn |
| Jul 31, 2025 | 31.60 Mn |
| Apr 30, 2025 | 30.82 Mn |
| Jan 31, 2025 | 31.59 Mn |
| Oct 31, 2024 | 33.15 Mn |
| Jul 31, 2024 | 33.59 Mn |
| Apr 30, 2024 | 32.76 Mn |
| Jan 31, 2024 | 32.18 Mn |
| Oct 31, 2023 | 30.60 Mn |
| Jul 31, 2023 | 27.62 Mn |
| Apr 30, 2023 | 25.03 Mn |
| Jan 31, 2023 | 22.89 Mn |
| Oct 31, 2022 | 20.68 Mn |
| Jul 31, 2022 | 19.46 Mn |
| Apr 30, 2022 | 15.50 Mn |
| Jan 31, 2022 | 14.71 Mn |
| Oct 31, 2021 | 13.44 Mn |
Sprinklr Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();