Wipro (WIT) Pension (2009 - 2026)
Wipro's Pension was $4.14 million in the quarter ended Jun 30, 2026, compared with -$2.68 million a year earlier and up 4.3% from the prior quarter.
Analysis
Wipro (WIT) Pension (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Pension at Wipro came in at $4.11 million.
- Pension shows a four-year compound annual growth rate of -42.1% (years ended Mar 2022 to Mar 2026).
- In earlier years, Pension was $50.97 million in the year ended Mar 31, 2024 (+38.7%), $36.73 million in the year ended Mar 31, 2023 (+0.6%) and $36.52 million in the year ended Mar 31, 2022.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Pension since the quarter ended Mar 31, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Wipro | 169.91 Mn | -5.19 Bn | 738.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.14 Mn |
| Mar 31, 2026 | 3.97 Mn |
| Jun 30, 2025 | -2.68 Mn |
| Mar 31, 2024 | 50.80 Mn |
| Mar 31, 2023 | 35.85 Mn |
| Mar 31, 2022 | 36.17 Mn |
| Dec 31, 2018 | 127.36 Mn |
| Jun 30, 2018 | 135.40 Mn |
| Mar 31, 2018 | 132.70 Mn |
| Mar 31, 2013 | 21.67 Mn |
| Mar 31, 2012 | 22.28 Mn |
| Mar 31, 2010 | 64.73 Mn |
| Dec 31, 2009 | 63.00 Mn |
| Sep 30, 2009 | 59.00 Mn |
| Jun 30, 2009 | 67.00 Mn |
| Mar 31, 2009 | 62.73 Mn |
API Access
Wipro Pension 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=pension&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();