Wipro (WIT) Long-Term Investments (2009 - 2026)
Wipro (WIT) recorded Long-Term Investments of $308 million in the quarter ended Jun 30, 2026, down 4.4% from $322.32 million a year earlier but up 0.4% from the prior quarter.
Wipro (WIT) Long-Term Investments (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Wipro reported Long-Term Investments of $299 million, down 3.5% from the prior year.
- Annual Long-Term Investments has a five-year compound annual growth rate of 15.6% (years ended Mar 2021 to Mar 2026).
- Across earlier years, Long-Term Investments came in at $310 million in the year ended Mar 31, 2025 (+19.2%), $260 million in the year ended Mar 31, 2024 (+3.2%), $252 million in the year ended Mar 31, 2023 (unchanged) and $252 million in the year ended Mar 31, 2022 (+73.8%).
- Quarterly Long-Term Investments has ranged from -$29.07 million in the quarter ended Mar 31, 2022 to $483 million in the quarter ended Sep 30, 2025 over the past five years.
- On a year-over-year basis, Long-Term Investments rose in five of the last seven quarters, with growth averaging 14.2%.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 99.3% in the quarter ended Dec 31, 2021, against a decline of 12.8% in the quarter ended Dec 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $306.88 million (quarter ended Mar 31, 2026), $311 million (quarter ended Dec 31, 2025) and $483 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 924.00 Mn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 106.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 62.15 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | - |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | - |
| 10 | Wipro | 173.06 Mn | -5.18 Bn | 738.00 Mn | 308.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 308.00 Mn |
| Mar 31, 2026 | 306.88 Mn |
| Dec 31, 2025 | 311.00 Mn |
| Sep 30, 2025 | 483.00 Mn |
| Jun 30, 2025 | 322.32 Mn |
| Mar 31, 2025 | 305.54 Mn |
| Dec 31, 2024 | 356.50 Mn |
| Sep 30, 2024 | 375.00 Mn |
| Jun 30, 2024 | 255.00 Mn |
| Mar 31, 2024 | 260.45 Mn |
| Sep 30, 2023 | 261.65 Mn |
| Jun 30, 2023 | 252.95 Mn |
| Mar 31, 2023 | 72,989.11 |
| Dec 31, 2022 | 253.44 Mn |
| Sep 30, 2022 | 266.73 Mn |
| Jun 30, 2022 | 276.69 Mn |
| Mar 31, 2022 | -29.07 Mn |
| Dec 31, 2021 | 234.14 Mn |
| Sep 30, 2021 | 178.26 Mn |
| Jun 30, 2021 | 149.51 Mn |
Wipro Long-Term Investments 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=long-term-investments&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();