Wipro (WIT) Price to Book (2009 - 2026)
Wipro's (WIT) Price to Book came in at 0.03 for the quarter ended Jun 30, 2026, down 7.5% from 0.03 a year earlier but up 25.6% from the prior quarter.
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Analysis
Wipro (WIT) Price to Book (2009 - 2026) Analysis & Trends
For the year ended Mar 31, 2026, Wipro's Price to Book stood at 0.02, down 28.7% from the prior year.
- In prior years, Wipro's Price to Book was 0.03 in the year ended Mar 31, 2025 (-1.3%), 0.03 in the year ended Mar 31, 2024 (+29.2%), 0.03 in the year ended Mar 31, 2023 (-47.0%) and 0.05 in the year ended Mar 31, 2022 (+6.4%).
- Quarterly Price to Book has run from a low of 0.02 in the quarter ended Mar 31, 2026 to a high of 3298.55 in the quarter ended Dec 31, 2023 over five years.
- On a year-over-year basis, Price to Book has declined in each of the last five quarters, with an average decline of 21.7% over the last eight quarters.
- The strongest year-over-year quarter for Price to Book in the past five years was the quarter ended Sep 30, 2021, with growth of 76.5%; the weakest was the quarter ended Dec 31, 2024, with a decline of 100.0%.
- According to Business Quant data, Price to Book for the three prior quarters was 0.02 (quarter ended Mar 31, 2026), 0.03 (quarter ended Dec 31, 2025) and 0.03 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 53.63 Bn | 40.13 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 33.68 Bn | 26.84 Bn | 1.83 Bn |
| 3 | Wipro | 22.73 Bn | 17.88 Bn | 745.00 Mn |
| 4 | Cdw | 20.30 Bn | 18.28 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.24 Bn | 13.40 Bn | 1.43 Bn |
| 6 | Cgi | 18.15 Bn | 15.95 Bn | - |
| 7 | Arrow Electronics | 10.62 Bn | 9.56 Bn | 1.13 Bn |
| 8 | EPAM Systems | 7.17 Bn | 2.81 Bn | 429.57 Mn |
| 9 | Avnet | 7.15 Bn | 6.33 Bn | 865.03 Mn |
| 10 | ExlService Holdings | 6.54 Bn | 5.28 Bn | 225.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.08 |
| Jun 30, 2026 | 2.88 |
| Mar 31, 2026 | 2.36 |
| Dec 31, 2025 | 2.97 |
| Sep 30, 2025 | 2.83 |
| Jun 30, 2025 | 3.10 |
| Mar 31, 2025 | 3.30 |
| Dec 31, 2024 | 3.71 |
| Sep 30, 2024 | 3.46 |
| Jun 30, 2024 | 3.40 |
| Mar 31, 2024 | 3.34 |
| Dec 31, 2023 | 326,041.37 |
| Sep 30, 2023 | 3.16 |
| Jun 30, 2023 | 3.17 |
| Mar 31, 2023 | 2.58 |
| Dec 31, 2022 | 2.80 |
| Sep 30, 2022 | 2.94 |
| Jun 30, 2022 | 3.34 |
| Mar 31, 2022 | 4.87 |
| Dec 31, 2021 | 6.08 |
API Access
Wipro Price to Book 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=price-to-book&ticker=WIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();