Wipro (WIT) Change in Property, Plant and Equipment (2009 - 2026)
Wipro (WIT) reported Change in Property, Plant and Equipment of $45.55 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), down 1.6% from $46.29 million a year earlier but up 23.4% from the prior quarter.
Wipro (WIT) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Wipro's Change in Property, Plant and Equipment came in at $8.77 billion, up 9.8% year-over-year; for FY2026 (ended Mar 31, 2026), it was $8.54 billion.
- By fiscal year, Change in Property, Plant and Equipment came in at -$152 million in FY2025, -$78 million in FY2024, -$173 million in FY2023 and -$256 million in FY2022.
- Five-year quarterly Change in Property, Plant and Equipment spans a low of -$479.91 million in fiscal Q4 2022 and a high of $11.53 billion in fiscal Q4 2024.
- Year over year, Change in Property, Plant and Equipment gained in six of the last eight quarters, with growth averaging 13.9%.
- The high point for year-over-year Change in Property, Plant and Equipment in five years was fiscal Q2 2023 (growth of 487.7%); the low point was fiscal Q3 2022 (a decline of 75.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $36.92 million (Q1 2027), $8.64 billion (Q4 2026) and $53.31 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.02 Bn | -78.24 Bn | 1.60 Bn | 86.00 Mn |
| 2 | Cognizant Technology Solutions | 29.70 Bn | 23.67 Bn | 1.91 Bn | -79.00 Mn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 45.55 Mn |
| 4 | Cdw | 20.39 Bn | 17.29 Bn | 1.39 Bn | -26.80 Mn |
| 5 | Cgi | 18.39 Bn | 16.19 Bn | - | 20.01 Mn |
| 6 | Td Synnex | 18.28 Bn | 12.44 Bn | 1.43 Bn | -58.88 Mn |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn | -21.14 Mn |
| 8 | EPAM Systems | 8.11 Bn | 4.02 Bn | 445.94 Mn | -14.68 Mn |
| 9 | Avnet | 7.01 Bn | 6.19 Bn | 865.03 Mn | -16.76 Mn |
| 10 | ExlService Holdings | 6.58 Bn | 5.38 Bn | 241.14 Mn | -16.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 45.55 Mn |
| Jun 30, 2026 | 36.92 Mn |
| Mar 31, 2026 | 8.64 Bn |
| Dec 31, 2025 | 53.31 Mn |
| Sep 30, 2025 | 46.29 Mn |
| Jun 30, 2025 | 32.18 Mn |
| Mar 31, 2025 | 7.88 Bn |
| Dec 31, 2024 | 34.37 Mn |
| Sep 30, 2024 | 45.62 Mn |
| Jun 30, 2024 | 31.83 Mn |
| Mar 31, 2024 | 11.53 Bn |
| Dec 31, 2023 | 21.11 Mn |
| Sep 30, 2023 | 62.52 Mn |
| Jun 30, 2023 | 39.42 Mn |
| Mar 31, 2023 | 37.86 Mn |
| Dec 31, 2022 | 40.80 Mn |
| Sep 30, 2022 | 48.78 Mn |
| Jun 30, 2022 | 65.22 Mn |
| Mar 31, 2022 | -479.91 Mn |
| Dec 31, 2021 | 493,577.90 |
Wipro Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "ticker": "WIT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-property-plant-and-equipment&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();