Screener.in vs Tijori Finance vs Altys: Which Indian Research Tool Fits Your Workflow?

Screener.in, Tijori Finance and Altys are useful for different stages of Indian equity research. Screener.in is a strong starting point for financial statements, screens and Excel models. Tijori Finance adds the operating detail behind those statements. Altys connects quantitative and qualitative research to scorecards, backtests, portfolio rules, monitoring and a reviewable institutional record.

This is a vendor-authored comparison. Altys publishes it and is one of the products discussed. The aim is not to declare a universal winner. It is to help you identify which research job is actually slowing you down.

The comparison reflects public product information available on 4 September 2026. Features and commercial terms change, so test the current products with companies and workflows you already understand.

The short answer

Choose around the centre of the work:

• Choose Screener.in when you want accessible Indian company financials, flexible queries, filing access and an established Excel workflow.
• Choose Tijori Finance when you need operating metrics, revenue mix, market share, raw-material movements and sector context around the reported numbers.
• Evaluate Altys when a professional team needs the entire investment process to be reproducible: point-in-time evidence, scorecards, models, backtests, portfolio rules, monitoring, exceptions and independently inspectable outputs.

Many serious investors will reasonably use more than one. The products overlap, but their centres of gravity are different.

The comparison at a glance

Dimension	Screener.in	Tijori Finance	Altys
Primary job	Company financial analysis and screening	Company, operating and sector research	Investment research and portfolio governance
Typical user	Individual fundamental investor and Excel model builder	Individual or professional fundamental researcher	PMS, AIF, family-office and research team
Financial statements	Long-run company statements and ratios	Statements plus company and peer comparisons	Source-linked company data with period-correct research views
Operating context	Increasing company insights and document coverage	Core strength: operating metrics, revenue mix, market share, raw materials	Evidence joined to company KPIs, guidance, scorecards and thesis monitoring
Screening	Custom queries, ratios and screen alerts	Natural-language and advanced financial or alternate-data filters	Rules, factor scorecards and research workflows across a defined universe
Backtesting	Screening history is not the centre of the public proposition	Not the centre of the public proposition	Fundamental strategy tests designed around point-in-time inputs
Portfolio workflow	Watchlists and company alerts	Portfolio tracking, exposure, timeline and alerts	Portfolio rules, thesis conditions, monitoring and decision review
Excel verification	Company exports and custom Excel templates	Financial-data downloads for eligible subscribers	Important calculations and outputs exportable to Excel or Excel-ready files
Execution	No broker execution	No broker execution in the core research product	No broker execution

Screener.in: financial history, queries and Excel

Screener.in has earned its place in Indian investing because it makes the basic research loop unusually efficient. Its public materials highlight long-run financial data, customizable ratios, company comparison, filing and announcement tracking, screen alerts and Excel export.

The Excel connection is not a side feature. Screener lets an investor export company financials and use a customized spreadsheet template, which is exactly how many analysts prefer to work. The portal handles collection and updates, while the spreadsheet remains the user’s calculation surface.

That combination suits a common workflow:

1. filter the Indian listed universe using a financial rule;
2. open the company page and inspect the statements;
3. read the relevant announcement or annual report;
4. export the numbers into a model;
5. add the company to a watchlist or screen alert.

If that is the complete job, Screener.in may be all the infrastructure you need. A clean tool that solves one job well is better than an elaborate system you do not use.

Its natural boundary is portfolio governance. A screen can find companies matching today’s condition. It does not automatically preserve the exact historical universe, rule version, information cut-off, qualitative exceptions, approved position size and later thesis changes as one institutional record.

Read our separate Screener AI versus Altys comparison for the narrower question of document Q&A versus continuous research.

Tijori Finance: what is happening underneath the total

Tijori Finance begins where a standard financial table often becomes too coarse. Its feature page describes operating metrics, market-share history, product and geographic revenue mix, sector research, niche indices, raw-material tracking, macro indicators, source links, portfolios, timelines and alerts.

That is valuable because the same reported growth rate can describe very different businesses. Revenue may have risen because of volume, price, mix, currency, acquisition or a change in reporting perimeter. A statement tells you the total. Operating evidence helps explain the engine.

Tijori is especially useful for questions such as:

• Did a paint company’s revenue grow because it sold more volume or raised prices?
• Is a lender growing through more customers, larger tickets or a riskier product mix?
• Did a manufacturer’s margin benefit from a temporary raw-material decline?
• Is reported sector growth broad, or concentrated in a few companies?

The product also offers screeners, portfolio tracking and alerts, so it is not merely a database of operating metrics. Its centre of gravity, however, remains understanding the company and its context.

Our Tijori Finance alternative guide and Tijori Stack versus Altys comparison cover the data product and AI suite separately.

Altys: when the research process itself must be governed

Altys is built for a different constraint. A professional team is not only trying to understand one company. It must apply a repeatable investment process across a universe, a live portfolio and a sequence of decisions made by several people.

That process can include:

• defining the eligible universe and exclusion rules;
• calculating factors and scorecards consistently;
• testing a strategy using data that was knowable on each historical date;
• reading filings, concalls and management guidance behind the score;
• recording why judgement accepted or overrode a rule;
• translating an approved view into portfolio limits and monitoring conditions;
• showing what changed after the decision;
• comparing the original expectation with the eventual outcome.

Altys connects those stages on one source-linked research record. Quantitative calculations are deterministic. Qualitative claims point back to evidence. Missing information remains unavailable instead of being silently converted into a reassuring answer.

Important outputs can also be exported to Excel or an Excel-ready file. The goal is not to ask a committee to trust a proprietary screen. It is to let the team inspect inputs, reproduce calculations and challenge the result in the tool it already understands.

That verification principle matters more than the presence of an export button. A useful export should identify the data cut-off, rule version, inputs, calculation and reason for any unavailable value. A table of final scores without that context is portable, but not auditable.

One company, three different questions

Imagine a company’s operating margin falls after two years of expansion.

In Screener.in, the analyst can inspect the financial history, compare peers, open the recent filing and export the statements into an Excel model.

In Tijori Finance, the analyst can place the margin change beside operating metrics, raw-material prices, segment trends and sector context to investigate why it happened.

In Altys, the team asks an additional set of process questions. Was the margin inside management’s earlier guidance? Which model assumption changed? Did the company score cross a documented threshold? Does the same cost exposure affect another holding? What monitoring condition should change, and what did the investment committee previously say it would do?

These are not competing answers to the same question. They are layers of the research stack.

Five tests to run before choosing

1. Test a number you know

Pick a company with a restatement, demerger or change in reporting basis. Check whether the displayed figure identifies its period, basis and source.

2. Test a historical decision

Ask what the system would have shown on a past date. A current ten-year chart is not automatically point-in-time history.

3. Test an operating explanation

Choose a quarter where revenue or margins moved sharply. See whether the tool helps separate price, volume, mix, segment and one-off effects.

4. Test the portfolio hand-off

After completing company research, see whether the conclusion can become a position rule, monitoring condition or committee record without being manually recreated elsewhere.

5. Test the export

Open the output in Excel. Can you trace the figures, understand the calculation, identify missing inputs and reproduce the important result?

Which one should you choose?

For most individual investors, the sensible starting point is Screener.in. It is accessible, capable and works naturally with Excel. Add Tijori Finance when the business model, operating drivers and sector context are the hard part of your research.

For a PMS, AIF or family office, the decision depends on what must be controlled. Screener.in and Tijori can remain valuable research inputs. Altys becomes relevant when the desk needs a shared, repeatable system from evidence and scorecards through backtesting, portfolio decisions, monitoring and review.

The best tool is not the one with the longest feature list. It is the one that preserves the work your process cannot afford to lose.

Related reading

• Best quant investing tools in India
• Best qualitative stock research tools in India
• Why India needs rule-based portfolio governance
• How to compare two companies
• Why point-in-time data matters

This article compares research software, not securities. It is educational and contains no investment recommendation. Altys Labs publishes the comparison and is one of the products discussed. Altys is not a broker or a SEBI-registered Research Analyst or Investment Adviser.