Datamatics Global Share Price Target 2026, 2027, 2028, 2029, 2030
- Market Cap
- ₹4,966 Cr
- Book Value
- ₹261.00
- Stock P/E
- 20.76
- Dividend Yield
- 0.59%
- ROE
- 16.45%
- ROCE
- 20.81%
- PEG Ratio
- 0.84
- EV/EBITDA
- 11.77
Fundamentals from Screener.in, as of 6 Aug 2026. Live price via Yahoo Finance.
Datamatics Global share price today
Datamatics Global Services (NSE: DATAMATICS) sits between conventional IT services, business-process management and proprietary automation software. That mix is the attraction and the analytical difficulty. Digital operations can produce recurring, labour-intensive revenue; technology projects can grow faster but fluctuate; products such as TruBot and TruCap+ create valuable intellectual property but compete with much larger global platforms.
Gale’s approved internal snapshot dated 6 August 2026 recorded a price of ₹865.15, market capitalisation of ₹4,966 crore, trailing P/E of 20.76 and normalized TTM EPS of ₹40.48. The live quote above changes with the market. Every valuation input in this article remains tied to that fixed cutoff, which prevents a moving price from silently changing the research conclusion.
The central question is whether Datamatics can convert its AI and automation positioning into durable organic growth while preserving the cash economics of its established operations. A low headline multiple is useful only if earnings are repeatable and minority shareholders receive the benefit.
Three businesses share one income statement
Datamatics describes itself through Digital Technologies, Digital Operations and Digital Experiences. They address related client problems, but their economics are different enough that a blended growth number can conceal important shifts.
| Business area | Typical work | Economic character | Main evidence to track |
|---|---|---|---|
| Digital Technologies | Cloud, data, enterprise applications, Salesforce and AI integration | Project-led, skills-intensive and exposed to discretionary budgets | Deal wins, utilisation and segment EBIT margin |
| Digital Operations | Document processing, finance workflows, back-office and customer operations | Recurring contracts with automation-led productivity potential | Volume, renewals, employee cost and gain sharing |
| Digital Experiences | Publishing, content, retail and customer-experience services | Long client relationships but transition and insourcing risk | Client retention, offshore mix and margin recovery |
| Proprietary products | TruBot RPA, TruCap+ document processing and related automation tools | IP-led optionality with selling and development costs | Product adoption, repeat licences and implementation revenue |
The best outcome is not simply faster revenue. It is a rising share of work in which reusable software, domain knowledge and automation allow revenue to grow faster than headcount. The weaker outcome is an ordinary outsourcing company spending heavily on AI labels while customers capture most productivity gains.
Q1 FY27 showed margin resilience after a volatile FY26
Screener’s consolidated table, updated after the June 2026 result, showed Q1 FY27 sales of about ₹514 crore, operating profit of ₹101 crore and net profit of ₹72 crore. Sales were above the year-earlier quarter, while the operating margin stayed close to 20%. Other income also moved back into positive territory after negative readings affected reported profit in parts of FY26.
| Consolidated measure, ₹ crore | Q1 FY26 | Q4 FY26 | Q1 FY27 | Reading |
|---|---|---|---|---|
| Sales | 468 | 519 | 514 | Growth continued YoY; sequential revenue was broadly stable |
| Operating profit | 76 | 111 | 101 | Much stronger than the year-earlier base |
| Operating margin | 16% | 21% | 20% | Margin held near the improved FY26 exit level |
| Profit before tax | 64 | 74 | 92 | Recovery in below-EBIT items helped |
| Net profit | 50 | 45 | 72 | Strong quarter, but not a run rate to extrapolate blindly |
| EPS | ₹8.52 | ₹7.48 | ₹12.24 | Per-share profit benefited from the quarterly recovery |
The difference between operating profit and reported profit matters. FY26 included unusual other-income and exceptional movements. Our model therefore does not annualise ₹12.24 of quarterly EPS. It keeps the approved 6 August normalized TTM EPS of ₹40.48 and applies modest scenario growth from that base.
FY26 improved operations, but reported earnings need a bridge
The year to March 2026 delivered ₹1,987 crore of sales and ₹372 crore of operating profit, versus ₹1,723 crore and ₹232 crore in FY25. That is a meaningful operating improvement. Reported net profit, however, slipped from ₹206 crore to ₹195 crore because depreciation, interest and non-operating items moved against the company.
| Consolidated full-year measure, ₹ crore | FY25 | FY26 | Change or implication |
|---|---|---|---|
| Sales | 1,723 | 1,987 | About 15% growth |
| Operating profit | 232 | 372 | Strong operating leverage |
| Operating margin | 13% | 19% | Six-point expansion needs to prove durable |
| Other income | 78 | -9 | Large swing reduced reported comparability |
| Depreciation | 48 | 84 | Reflects a larger asset and acquisition base |
| Interest | 12 | 19 | Still manageable, but no longer negligible |
| Net profit | 206 | 195 | Operating gains did not fully reach the bottom line |
That bridge is why a normalized EPS model is preferable to either reported FY26 EPS or one strong quarter. Investors should separate recurring segment EBIT from fair-value changes, exceptional charges, acquisition accounting and tax effects.
AI is an operating tool before it is a product story
Datamatics can benefit from AI in two ways. It can sell automation and data solutions to clients, and it can use those tools inside its own operations. The second path may be more immediate. Intelligent document processing can reduce manual review, while robotic process automation can standardise repetitive workflows. If contracts share productivity benefits, automation can protect margin and improve renewal economics.
The risk is commercial. Clients may demand lower prices as labour requirements fall, or adopt hyperscaler tools themselves. Datamatics must combine software with process expertise, integration and accountability that the customer cannot obtain from a generic model. Product claims should be tested against licence revenue, deployment scale and measurable improvement in segment margins.
TruBot and TruCap+ are options, not free value
TruBot provides robotic process automation, while TruCap+ focuses on extracting and processing information from documents. These products address genuine enterprise problems in insurance, banking, healthcare, logistics and finance. Datamatics also brings implementation capacity, which can reduce the gap between a software demonstration and a production workflow.
| Product-economics test | Constructive evidence | Warning evidence |
|---|---|---|
| Repeatability | The same platform serves many clients with limited customization | Every deployment becomes a bespoke services project |
| Revenue quality | Licence, support and usage revenue rise | Product revenue stays immaterial or undisclosed |
| Customer result | Faster processing with auditable accuracy and controls | Savings depend on manual work moved elsewhere |
| Competitive position | Wins against specialist and platform alternatives | Pricing falls as hyperscaler tools improve |
| Investment discipline | R&D produces adoption without persistent margin drag | Development spend grows faster than product economics |
The model assigns no separate sum-of-the-parts value to these products. Their benefit must appear through consolidated EPS growth and the multiple the market is prepared to sustain.
Digital Operations supplies scale and cash visibility
Operations contracts often run for several years and cover critical workflows. That can make revenue more stable than project-led technology work. The moat is not cheap labour alone; it is documented processes, domain knowledge, controls, service levels and the cost of moving an operating workflow to another vendor.
Labour remains the largest variable. Wage inflation, attrition and onshore staffing can erode gains. Automation can offset those pressures, but the outcome depends on contract terms. Follow revenue per employee, utilisation, offshore mix and segment margin rather than treating headcount growth as success.
Digital Experiences carries concentration and transition risk
Publishing and content relationships can last for years, but large clients can move work in-house or consolidate suppliers. One transition can affect an entire quarter. This business should be judged over several periods, with attention to client concentration and the pace at which new wins replace mature contracts.
Experiences also includes valuable domain expertise. Structured content, accessibility, commerce data and customer engagement can become more important as enterprises manage larger digital catalogues. The investment case improves if Datamatics turns that knowledge into higher-value analytics and automation, not merely more content-processing volume.
Cash conversion supports the quality argument
Datamatics generated ₹324 crore of cash from operations in FY26 against ₹372 crore of operating profit. Screener calculates CFO at 108% of operating profit and free cash flow at ₹285 crore. That is a stronger signal than the reported net-profit decline because it suggests the operating improvement was not purely accrual.
| Cash and balance-sheet measure | FY25 | FY26 | Investor reading |
|---|---|---|---|
| Cash from operations | ₹224 Cr | ₹324 Cr | Improved with operating profitability |
| Free cash flow | ₹201 Cr | ₹285 Cr | Healthy after capital expenditure |
| Borrowings | ₹190 Cr | ₹221 Cr | Higher, but modest relative to equity and investments |
| Investments | ₹355 Cr | ₹639 Cr | Significant liquidity and treasury value |
| Debtor days | 64 | 63 | Broadly stable collections |
| Working-capital days | 50 | 74 | Wider measure moved up and deserves reconciliation |
The investment balance must be read with acquisition commitments and restricted cash. Gross investments are not automatically surplus cash. Management can create value through disciplined acquisitions or destroy it by paying for growth that could have been built internally.
Acquisitions expand capability and integration work
Datamatics has used acquisitions and subsidiary investments to deepen Salesforce, cloud and other digital capabilities. Buying a specialist can accelerate access to scarce skills and clients. It also adds goodwill, amortisation, retention payments and integration risk.
The correct test is per-share value, not acquired revenue. Track organic growth separately, compare acquired margins with the group, and examine whether cash conversion remains strong after integration. A company can report faster sales while economic returns fall if each new capability requires another purchase.
The 6 August valuation snapshot
| Snapshot metric | Stored value | Interpretation |
|---|---|---|
| Share price | ₹865.15 | Fixed model cutoff, not the live quote |
| Market capitalisation | ₹4,966 Cr | Micro-cap by Gale’s internal bands |
| P/E | 20.76× | Moderate only if normalized earnings hold |
| Price/book | 3.22× | Reflects an asset-light services mix |
| EV/EBITDA | 11.77× | Useful cross-check on operating value |
| ROE | 16.45% | Healthy, not exceptional |
| ROCE | 20.81% | Supports the quality case |
| Dividend yield | 0.59% | Capital return is a minor part of the thesis |
| Normalized snapshot TTM EPS | ₹40.48 | Starting base for every scenario |
The stock was about 20% below its stored 52-week high. That does not create a margin of safety by itself. Earnings quality and future growth determine whether the apparent discount is meaningful.
Valuation framework: EPS growth plus a restrained multiple
The model compounds normalized EPS and applies an exit P/E. It does not add the dividend or assign a separate value to product IP. The calculation starts on 6 August 2026, using 147/365 of one year for the 2026 row; each later row adds one full year. This avoids treating five months as twelve.
| Scenario | Annual EPS growth | Exit P/E | What it assumes |
|---|---|---|---|
| Bear | 6% | 17× | Slower discretionary IT demand and partial margin reversal |
| Base | 11% | 22× | Stable operations, selective technology wins and normal cash conversion |
| Bull | 16% | 27× | AI-led mix improves and products create repeatable growth |
The bull case requires more than industry enthusiasm. The company must show organic growth, stable client concentration and continued conversion of profit to cash. The bear case still assumes a viable business; it mainly demonstrates how modest growth and multiple compression interact.
Datamatics Global share price target 2026 to 2030
The member table is scenario arithmetic from the assumptions above, rounded to the nearest ₹5. It is not a prediction of where the stock must trade. Technology budgets, currency, client transitions and acquisitions can push results outside all three paths.
What would change the thesis
The thesis would strengthen if Digital Technologies returns to consistent organic growth, Digital Operations holds its margin as automation expands, and product adoption becomes visible in repeat revenue. Sustained free cash flow alongside a disciplined acquisition record would support a higher confidence level.
It would weaken if reported growth depends mainly on acquisitions, a major Experiences client insources work, receivables rise, or the FY26 operating-margin step-up reverses. Another large gap between operating profit and reported EPS would require rebuilding the normalized base.
Quarterly monitoring scorecard
| Question | Constructive answer | Warning sign |
|---|---|---|
| Is growth organic? | Existing clients and new wins both contribute | Acquisitions explain most of the increase |
| Is AI improving economics? | Revenue per employee and margins rise | Marketing expands without measurable productivity |
| Are products scaling? | Repeat licences and deployments broaden | Bespoke projects dominate product claims |
| Is cash quality intact? | CFO tracks operating profit | Receivables or unbilled revenue absorb cash |
| Is capital allocated well? | Acquisitions earn above the cost of capital | Goodwill and debt rise faster than per-share profit |
Should you buy Datamatics Global at the current price?
Datamatics combines reasonable snapshot valuation, healthy return ratios, strong cash conversion and genuine automation capability. Its smaller scale also makes client transitions and acquisitions more consequential than they would be for a large diversified IT company. Investors should use the signed-in research view, then test whether their required return survives the conservative scenario.
Position sizing matters. A micro-cap can be fundamentally liquid enough for normal investors yet still move sharply on results, contract news or broader IT sentiment. The rating is a research classification, not an instruction to buy.
FAQ
What is the Datamatics Global share price target for 2030?
The gated table shows bear, base and bull outcomes derived from normalized EPS growth and exit P/E assumptions. Sign in free to view the values and compare the inputs rather than relying on a single headline number.
Why does the model use ₹40.48 of EPS?
That was Gale’s normalized TTM EPS in the approved 6 August 2026 internal snapshot. It avoids annualising one strong Q1 and smooths unusual FY26 non-operating movements.
Is Datamatics an AI company or a BPM company?
It is both a services and operations company with proprietary automation tools. The economic value of AI depends on repeat product adoption and productivity, not on the label alone.
What is the biggest risk for Datamatics shareholders?
Client concentration and execution across a mixed portfolio are central risks. Acquisitions, wage inflation, insourcing and discretionary IT delays can also change growth and margins quickly.
Does Datamatics have good cash flow?
FY26 cash from operations and free cash flow were strong relative to operating profit. Investors should still track working capital and acquisition spending before treating all cash and investments as surplus.
When does Datamatics report its next result?
Use Gale’s results calendar and confirm the formal board meeting date through the company’s exchange filing.
Related research
Sources and methodology
- Datamatics Q1 FY27 investor presentation filed with BSE
- Datamatics investor-relations announcements
- Datamatics investor-relations hub
- Datamatics consolidated financials on Screener
The valuation panel and model base use Gale’s approved internal Screener capture from 6 August 2026. Q1 FY27 operating figures were cross-checked against the company filing and the subsequently updated Screener table. Yahoo Finance only supplies the indicative live quote above.
This article is research and education, not personalised investment advice or a recommendation to transact. Gale is not a SEBI-registered investment adviser. Price targets are scenario arithmetic, not promises. Verify current filings, consider liquidity and suitability, and consult a registered adviser before acting.