Wipro (WIT) Operating Leases (2019 - 2026)
Wipro (WIT) recorded Operating Leases of $278 million in the quarter ended Jun 30, 2026, down 0.8% from $280.16 million a year earlier and down 3.5% from the prior quarter.
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Analysis
Wipro (WIT) Operating Leases (2019 - 2026) Analysis & Trends
As of Mar 31, 2026, Wipro reported Operating Leases of $281 million, up 8.1% from the prior year.
- Annual Operating Leases has a five-year compound annual growth rate of 8.7% (years ended Mar 2021 to Mar 2026).
- Across earlier years, Operating Leases came in at $260 million in the year ended Mar 31, 2025 (+54.8%), $168 million in the year ended Mar 31, 2024 (-13.4%), $194 million in the year ended Mar 31, 2023 (-3.0%) and $200 million in the year ended Mar 31, 2022 (+8.1%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Operating Leases since the quarter ended Mar 31, 2025.
- On a year-over-year basis, Operating Leases rose in six of the last seven quarters, with growth averaging 27.4%.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 52.4% in the quarter ended Mar 31, 2025, against a decline of 13.4% in the quarter ended Mar 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $288 million (quarter ended Mar 31, 2026), $294 million (quarter ended Dec 31, 2025) and $283 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn |
| 10 | Ingram Micro Holding | 6.25 Bn | 1.85 Bn | 958.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 278.00 Mn |
| Mar 31, 2026 | 279.02 Mn |
| Dec 31, 2025 | 294.00 Mn |
| Sep 30, 2025 | 283.00 Mn |
| Jun 30, 2025 | 280.58 Mn |
| Mar 31, 2025 | 259.45 Mn |
| Dec 31, 2024 | 218.95 Mn |
| Sep 30, 2024 | 226.00 Mn |
| Jun 30, 2024 | 194.00 Mn |
| Mar 31, 2024 | 167.42 Mn |
| Sep 30, 2023 | 177.85 Mn |
| Jun 30, 2023 | 195.91 Mn |
| Mar 31, 2023 | 194.31 Mn |
| Dec 31, 2022 | 187.36 Mn |
| Sep 30, 2022 | 189.80 Mn |
| Jun 30, 2022 | 190.54 Mn |
| Mar 31, 2022 | 200.15 Mn |
| Dec 31, 2021 | 202.28 Mn |
| Sep 30, 2021 | 205.63 Mn |
| Jun 30, 2021 | 213.52 Mn |
API Access
Wipro Operating Leases 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=operating-leases&ticker=WIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();