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For a reliable starting point, use Wipro’s investor-relations “Last 5 Years data” page. Its figures are NSE closing prices on March 31 and are adjusted for Wipro’s 2024 bonus issue. For older or daily data, use one exchange and one consistently adjusted series, then record the listing, currency, dates, frequency, corporate-action treatment and dividend treatment before drawing a conclusion.
That discipline matters because a quoted Wipro price is not automatically an annual average, a total return, or even the same instrument across websites. Wipro has Indian listings on NSE (symbol WIPRO), BSE (code 507685) and an NYSE-listed American depositary security (ticker WIT) (Wipro FAQ).
What Wipro’s published five-year figures actually measure
The company’s five-year table is a set of annual reference points, not a continuous performance chart. Each observation is the NSE closing market price on March 31. A March 31 close can differ substantially from the average price during the financial year, the final trading day in a calendar year, or a price quoted on another exchange.
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Wipro says the prices in that table are adjusted for the 2024 bonus issue. The adjustment puts the observations on a comparable per-share basis after the change in the number of shares. It does not turn the series into a dividend-reinvested total-return index.
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The live page shows five values—₹207.1, ₹296.0, ₹182.6, ₹240.1 and ₹262.3—in the order displayed by Wipro. Confirm the year headings on the page when you publish or calculate a return; the values should not be assigned to years from memory.
| Value shown by Wipro | What it is | What it is not |
|---|---|---|
| ₹207.1 | March 31 NSE closing-price snapshot, adjusted for the 2024 bonus issue | Not an annual average or total return |
| ₹296.0 | March 31 NSE closing-price snapshot, adjusted for the 2024 bonus issue | Not a price for every day in that year |
| ₹182.6 | March 31 NSE closing-price snapshot, adjusted for the 2024 bonus issue | Not a BSE or NYSE quote |
| ₹240.1 | March 31 NSE closing-price snapshot, adjusted for the 2024 bonus issue | Not a dividend-inclusive return |
| ₹262.3 | March 31 NSE closing-price snapshot, adjusted for the 2024 bonus issue | Not evidence of a future price |
Use these numbers to describe the sequence of year-end reference prices only after checking the current column labels. As a simple descriptive check, the displayed observations span ₹182.6 to ₹296.0, a difference of ₹113.4 per share. That spread is not itself a return because the page order and exact year labels must be confirmed first.
A price change between two observations can be calculated as (ending price − starting price) ÷ starting price × 100, but that calculation remains price-only and covers only the two selected dates. If the dates are separated by several years, an annualised growth rate can be calculated as (ending price ÷ starting price)^(1 ÷ number of years) − 1. Use the exact elapsed period, not merely the number of rows in a table, and do not include dividends unless the series is explicitly total return.
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Start with the company’s investor page
Open the Last 5 Years data page when you need a company-published annual snapshot. Record the access date and copy the year headings with the values. If the table changes, your notes will still show exactly which observations you used.
The page is useful as an anchor even when your main analysis uses daily data. Match one of your downloaded observations to a March 31 NSE close where possible. A match does not prove that every row is correct, but a mismatch is a reason to inspect the ticker, timezone, trading calendar, currency and adjustment setting.
Choose one listing for the main series
For Indian equity, select either NSE: WIPRO or BSE: 507685 and keep that choice throughout the chart. Do not mix an NSE close with a BSE close simply because one website has a longer history. If you use NYSE: WIT, label it as the American depositary security and report values in the currency used by that listing. Wipro’s FAQ identifies these symbols and explains that shares and ADSs are obtained through brokers serving the relevant exchange.
An Indian listing and the NYSE security can have different trading hours, quote conventions and currency exposure. If you convert one to the other, state the foreign-exchange source, conversion date or rule, and whether the comparison is intended to represent an Indian shareholder or a dollar-based holder. Do not imply that a rupee return and a dollar return are interchangeable.
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For any provider, write down whether “historical price” means unadjusted close, adjusted close, or a total-return series. Also record the observation frequency—daily, weekly, monthly or annual—and the date convention. Two charts with the same ticker can disagree if one adjusts for bonuses and splits while the other leaves historical quotes raw.
Check whether a daily record is a closing auction price, an official close, or a vendor’s last trade. For monthly data, note whether the provider selects the final trading day, a calendar-month endpoint or an average. These details matter when you compare a provider’s point with Wipro’s March 31 snapshot.
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Corporate actions can make a raw chart misleading
A bonus issue increases the number of shares held while reducing the quoted per-share basis so that the holder’s market value is not changed mechanically on the effective date. A stock split performs a similar arithmetic change through a split ratio. If a chart fails to restate earlier prices, it can display an artificial step down; if it adjusts only part of the history, comparisons on either side of the event become inconsistent.
Wipro’s investor materials state that the five-year market prices are adjusted for the 2024 bonus issue. The company’s historical share-capital information also records earlier bonus issues and a 1999 stock split. The 2004–05 annual report is a historical record, not a complete current corporate-action register. For an exact ratio or event date, check the relevant current annual report and the company’s exchange-filings archive rather than inferring a factor from a chart.
A corporate-action adjustment changes the unit in which the historical price is quoted; it does not automatically include dividends, rights issues, taxes or transaction costs. “Adjusted” is therefore an incomplete description unless you know exactly which events the provider includes.
Use one adjustment method from start to finish
- Identify every bonus issue, split or similar event within your selected date range.
- Confirm whether your data provider’s “adjusted” field includes each event.
- Check that the same adjustment setting is applied to the entire series, not just the recent section.
- Check the provider’s treatment of missing observations and non-trading days.
- Keep a separate note of the raw close if you need to explain what traders actually saw on a particular date.
Never compare a raw pre-bonus quote with an adjusted post-bonus quote and call the difference an investment gain or loss. The per-share unit changed. If you must show both, use separate labels such as “raw close” and “bonus/split-adjusted close” and explain why they differ.
Keep price return separate from total return
A price-only chart measures changes in the quoted share price. It excludes cash dividends unless the provider explicitly reinvests them. Wipro’s company results release reports dividends separately from operating results, so a dividend cannot be assumed to be included in the five-year price table.
A total-return series assumes dividends are received and, normally, reinvested on a specified date. Its result depends on the reinvestment convention, taxes and the currency used. When comparing Wipro with an index or another company, choose either price-only for every series or total return for every series; mixing the two gives an uneven comparison.
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|---|---|---|
| Includes market-price movement? | Yes | Yes |
| Includes cash dividends? | No, unless stated otherwise | Yes, under the provider’s reinvestment rules |
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| Disclosure needed | Exchange, currency, dates and adjustment method | All price-series details plus dividend and reinvestment methodology |
For a simple price-only comparison, use the same opening and closing convention for every security. For a total-return comparison, document whether dividends are reinvested gross or net of withholding and when reinvestment occurs. If that information is unavailable, call the result price-only rather than guessing.
How to read short-, medium- and long-term trends
Short horizon: identify the path, not just the endpoints
For a daily or weekly chart, mark sharp drawdowns, rebounds and periods of unusually wide movement. Then check whether the apparent move is a corporate-action adjustment or an actual market change. Endpoints alone can hide a decline followed by a recovery, or a rally followed by a larger fall.
Use consistent closing observations. Comparing a daily close at one date with an intraday quote at another introduces a measurement difference unrelated to performance. Note gaps caused by exchange holidays rather than treating a missing session as a zero return.
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Medium horizon: measure drawdowns and recoveries
For several months to a few years, calculate the largest peak-to-trough fall and the time required to regain the prior peak. A series can finish near its starting value yet impose a long period of losses. Record the dates and the adjusted-price basis for each calculation.
The usual drawdown calculation is (current value ÷ previous peak) − 1. The maximum drawdown is the most negative observation over the selected period. Recovery time runs from the trough until the series first returns to the prior peak, using the same closing-price definition. If the peak is never regained, report that fact instead of assigning a recovery period.
Long horizon: examine multiple windows
Use rolling windows—such as three-year, five-year and ten-year intervals—rather than selecting a single convenient start date. For each window, report the exchange, currency, start and end dates, adjustment method and whether dividends are included. This shows how sensitive the result is to the chosen entry point without turning historical performance into a forecast.
When a window begins before a bonus or split, verify that the entire historical path has been restated. A long chart can look smooth while still containing a hidden methodology change. Keep a versioned spreadsheet or data note so that a later provider revision does not silently alter your conclusion.
Compare against an appropriate reference
If you add another company or an index, make the basis identical: same currency, same date range, same observation frequency, same corporate-action treatment and the same price-only or total-return definition. A rupee-denominated NSE series and a dollar-denominated NYSE depositary-security series are not directly comparable without an explicit currency decision.
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1Scan for outdated or missing drivers - takes under a minute2Clear out junk files and repair common Windows errors3Fix the driver behind crashes, sound loss and screen glitchesNormalize both series to a common starting value, such as 100, only after the underlying definitions match. Normalization makes paths easier to view; it does not remove currency risk, dividends, fees or the effects of different trading calendars. State the benchmark name and listing rather than using a vague label such as “the market.”
Put the chart beside business disclosures
A chart shows what the market price did; it does not establish why it did it. To investigate a possible explanation, find a dated company filing, results release or exchange disclosure that covers the same period. Avoid assigning a cause merely because a business event and a price move appear near each other.
For current operating context, Wipro’s release for the quarter ended June 30, 2026, published July 16, 2026, reported gross revenue of ₹244.8 billion, IT services revenue of US$2,614.5 million and an interim dividend of ₹2 per equity share. Those figures describe one quarter and should not be treated as proof that they caused any historical price movement.
The release quotes Wipro CEO and Managing Director Srini Pallia: “Clients are moving beyond technology modernization to AI-enabled operating models.” That is management commentary about business strategy, not a verified explanation for a particular move in the share price.
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Use the company’s annual reports repository for longer-run financial statements, declared dividends and other operating measures. Align each disclosure’s publication date with the price data so that you do not use information that was unavailable to investors at the time being studied. A later annual report can clarify history, but it should not be presented as information known to investors on an earlier date.
A repeatable workflow for analysing Wipro history
- Define the instrument. Write “NSE: WIPRO,” “BSE: 507685” or “NYSE: WIT,” and state the currency.
- Define the period. Record the exact start and end dates and whether the endpoints are closes.
- Select the frequency. Use daily data for event studies, monthly data for multi-year visualisation, or Wipro’s March 31 snapshots for the company’s five-year reference.
- Set corporate-action treatment. Choose raw or adjusted prices and verify that the 2024 bonus issue and earlier events in your period are handled consistently.
- Choose dividend treatment. Label the result price-only or total return; never infer dividend inclusion from the word “adjusted.”
- Validate the series. Check several dates against an exchange or company-published figure, including one date near a known corporate action.
- Calculate the measures. Report point-to-point change, annualised growth where appropriate, maximum drawdown and recovery time. Preserve the date and methodology beside every number.
- Add business evidence. Read annual or quarterly disclosures covering the same period and separate documented facts from your interpretation.
- Write a qualified conclusion. Describe the observed trend and its volatility; do not present it as a prediction or personal investment recommendation.
For reproducibility, save the downloaded file, the provider’s adjustment setting, the access date and any cleaning decisions. If you remove duplicate rows, fill a missing date or convert currency, record that action. Someone revisiting the analysis should be able to recreate the same chart from the same definitions.
Common mistakes and how to correct them
- Calling March 31 a yearly average: describe it as an NSE closing snapshot.
- Mixing exchanges: keep NSE, BSE and NYSE series separate and label the currency.
- Ignoring a bonus or split: use a consistently adjusted series and document the event.
- Assuming adjusted means dividend-adjusted: verify whether dividends are included and whether they are reinvested.
- Assigning a cause from timing alone: locate a dated filing or results release before making a causal statement.
- Using an unverified year label: confirm the headings on the live Wipro table before calculating returns from its five values.
- Comparing unlike frequencies: do not place a monthly endpoint beside a daily close without explaining the convention.
- Ignoring currency: disclose any rupee-to-dollar conversion and the exchange-rate rule.
- Using an unadjusted start and adjusted end: apply one basis to every observation or restart the comparison.
- Presenting history as a forecast: state what the data measured and stop there; past performance does not establish a future outcome.
How to present a Wipro trend clearly
Put the data definition directly above the chart: “NSE: WIPRO, INR, daily closes, [date]–[date], bonus/split-adjusted, price-only” or the equivalent for a total-return series. Include a footnote for the 2024 bonus adjustment and any earlier event that affects the period.
When using the company’s five-year table, identify it as “March 31 NSE closing prices, adjusted for the 2024 bonus issue,” reproduce the values in the order shown, and add the live page’s year headings. If you compare with a benchmark, show the benchmark’s currency and return definition beside Wipro’s rather than leaving readers to infer them.
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A useful narrative distinguishes three statements: what the series observed, how large and persistent the move was, and what dated business evidence is available. Keeping those statements separate makes the history informative without overstating what a chart can prove.
Frequently asked questions
Where is the most authoritative starting point for Wipro’s share-price history?
Use Wipro’s investor-relations “Last 5 Years data” page for the company’s annual reference points. It identifies the figures as NSE closing prices on March 31 and notes that they are adjusted for the 2024 bonus issue. For daily or older observations, use a consistent exchange or data-provider series and document its methodology.
Are the five published values annual averages?
No. They are March 31 NSE closing-price snapshots. They are not averages for the financial year, calendar year-end prices, or continuous daily records.
Which Wipro ticker should I use?
Use NSE: WIPRO or BSE: 507685 for the Indian equity listing. Use NYSE: WIT for the American depositary security. Do not combine the listings without stating the instrument, currency and conversion method.
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Does Wipro’s adjusted history include dividends?
Not automatically. Wipro says its five-year prices are adjusted for the 2024 bonus issue, while dividends are reported separately in company results releases. Confirm whether a vendor’s series is price-adjusted only or a dividend-reinvested total-return series.
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How can I tell whether a chart handled the 2024 bonus issue correctly?
Read the provider’s adjustment definition, inspect the chart around the event and compare a suitable observation with Wipro’s published adjusted table. Also check Wipro’s exchange-filings archive and current annual reports for the event record. Do not infer the exact ratio solely from a visible chart step.
Can I use the 2004–05 annual report as the complete corporate-action history?
No. It is a historical record. Wipro’s FAQ directs investors to current annual reports for the full history. Use the relevant current report and exchange filing when an exact event date or ratio matters.
What business numbers can provide recent context?
Wipro’s July 16, 2026 release for the quarter ended June 30, 2026 reported gross revenue of ₹244.8 billion, IT services revenue of US$2,614.5 million and an interim dividend of ₹2 per equity share. These are operating and distribution disclosures for one quarter, not evidence that they caused a particular share-price move.
Can historical performance predict Wipro’s next price?
No. Historical data can describe returns, drawdowns, volatility and recovery periods under a stated methodology. It cannot establish a future outcome or substitute for an investment decision based on current information and risk tolerance.
Is a broker or investing product required to read the history?
No. The analysis can be done with company disclosures, exchange information and a clearly defined historical-price series. Wipro’s FAQ notes that shares and ADSs may be purchased through brokers serving the NSE, BSE or NYSE, but broker terms and affiliations are separate from interpreting the historical chart.
Frequently Asked Questions
Where should I start with Wipro share-price history?
Start with Wipro’s investor-relations “Last 5 Years data” page for March 31 NSE closing-price snapshots. Use a consistently defined exchange or provider series for daily or older history.
Are Wipro’s five published figures annual averages?
No. They are March 31 NSE closing prices adjusted for the 2024 bonus issue, not annual averages or total returns.
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NSE: WIPRO and BSE: 507685 are Indian listings. NYSE: WIT is Wipro’s American depositary security. Keep listings and currencies separate unless you state a conversion method.
Does an adjusted price include dividends?
Not necessarily. Wipro’s published adjustment refers to the 2024 bonus issue. Verify separately whether a provider includes cash dividends or dividend reinvestment.
How should I compare Wipro with an index?
Use the same currency, dates, frequency, corporate-action treatment and price-only or total-return definition for both series. Then label the benchmark clearly.
Can the chart prove why Wipro’s price moved?
No. Use dated annual reports, quarterly results or exchange disclosures to investigate explanations, and distinguish documented facts from interpretation.
The Bottom Line
Read Wipro’s history as a defined data series, not as a number detached from its listing and methodology. Start with the company’s March 31 NSE snapshots, verify the year labels, adjust consistently for bonuses and splits, separate price return from dividend-inclusive total return, and keep NSE, BSE and NYSE instruments distinct. Measure several windows, drawdowns and recoveries, then use dated company disclosures to add context without claiming that a chart predicts the future.
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