Wipro (WIT) EBITDA (2009 - 2026)
Wipro (WIT) recorded EBITDA of $515.72 million in fiscal Q2 2027 (quarter ended Sep 30, 2026), up 1.9% from $506.3 million a year earlier and up 3.4% from the prior quarter.
Wipro (WIT) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Wipro's EBITDA came in at $2.03 billion as of Sep 30, 2026, down 2.7% year-over-year; for FY2026 (ended Mar 31, 2026), it was $1.92 billion, down 9.2% from FY2025.
- Annual EBITDA has a five-year compound annual growth rate of -1.1% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $2.12 billion in FY2025 (+3.6%), $2.04 billion in FY2024 (-2.9%), $2.11 billion in FY2023 (-6.7%) and $2.26 billion in FY2022 (+11.2%).
- Quarterly EBITDA has ranged from $488.4 million in fiscal Q3 2026 to $2.96 billion in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, EBITDA rose in four of the last eight quarters, with an average decline of 1.5%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 420.0% in fiscal Q4 2023, against a decline of 82.9% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $498.97 million (Q1 2027), $526.69 million (Q4 2026) and $488.4 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | 17.01 Bn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 1.02 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | 515.72 Mn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | 564.60 Mn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | 591.24 Mn |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | 749.12 Mn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | 412.93 Mn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | 208.55 Mn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 107.52 Mn |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn | 268.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 515.72 Mn |
| Jun 30, 2026 | 498.97 Mn |
| Mar 31, 2026 | 2.73 Bn |
| Dec 31, 2025 | 488.40 Mn |
| Sep 30, 2025 | 506.30 Mn |
| Jun 30, 2025 | 497.52 Mn |
| Mar 31, 2025 | 541.34 Mn |
| Dec 31, 2024 | 541.62 Mn |
| Sep 30, 2024 | 543.19 Mn |
| Jun 30, 2024 | 519.38 Mn |
| Mar 31, 2024 | 527.15 Mn |
| Dec 31, 2023 | 506.59 Mn |
| Sep 30, 2023 | 511.88 Mn |
| Jun 30, 2023 | 509.94 Mn |
| Mar 31, 2023 | 2.94 Bn |
| Dec 31, 2022 | 2.96 Bn |
| Sep 30, 2022 | 507.63 Mn |
| Jun 30, 2022 | 513.91 Mn |
| Mar 31, 2022 | 564.63 Mn |
| Dec 31, 2021 | 573.82 Mn |
Wipro EBITDA 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=ebitda&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();