EverestIMS IPO: The Thesis Rests on Faster Cash Collection and AI Lab Payoff
Everestims Technologies IPO: GMP, important dates, price band and subscription →
1. IPO Overview
EverestIMS Technologies is a small, profitable and debt-free enterprise software maker coming to the BSE SME platform with a total offer of up to 57,00,800 shares at Rs 80 to Rs 85 a share.
The offer mixes a fresh issue, where money comes to the company, with an offer for sale, or OFS, where existing owners sell shares and keep the money. The fresh issue of up to 45,93,600 shares is about four times the OFS of up to 11,07,200 shares, so most of the raise funds the business rather than exits.
| Item | Detail |
|---|---|
| Company | EverestIMS Technologies Limited |
| Price band | Rs 80 to Rs 85 per share, face value Rs 10 |
| Total offer | Up to 57,00,800 shares |
| Fresh issue | Up to 45,93,600 shares |
| Offer for sale | Up to 11,07,200 shares |
| Pre-issue shares | 1,70,44,578 shares |
| Post-issue shares | 21,638,178 shares, pre-issue plus fresh issue |
| Promoter pre-offer | 80.38% |
| Market cap at band | Rs 173.10 cr at Rs 80 to Rs 183.93 cr at Rs 85, post-issue |
| Post-issue P/E | 13.3x at Rs 80 to 14.1x at Rs 85 on FY2026 reported profit |
| Post-issue NAV | Rs 44.98 at Rs 80 to Rs 46.05 at Rs 85 per share on post-issue shares |
| Pre-issue NAV | Rs 35.55 per share on 1,70,44,578 shares |
| FY2026 EPS | Rs 7.71 basic and diluted on weighted average 17,044,578 shares |
| RoNW FY2026 | 21.69%, weighted average 26.34% |
| Objects | Rs 5.66 crore AI lab hardware, Rs 24.00 crore working capital, balance for general corporate purposes |
| Dates | September 29, 2026 to October 05, 2026 |
| Listing | SME Platform of BSE Limited |
| Lead manager | Oneview Corporate Advisors Private Limited |
| Registrar | Maashitla Securities Private Limited |
2. What the company does
What it makes
EverestIMS sells one flagship platform called Infraon Infinity. In simple terms, it keeps a customer's computers, networks and business apps running and keeps the IT help-desk working.
Picture a bank with hundreds of branches, a telecom operator or a government department. Hundreds of servers, routers and apps must stay up, and employees raise tickets when something breaks. Infraon watches those machines, spots when performance slips, records who changed which setting on which network box, keeps a register of every hardware and software asset, and routes help-desk tickets to resolution.
Newer parts use AI for IT Operations and Generative-AI powered service management. In practice it means software that learns normal behaviour, filters noisy alarms, flags a likely failure early and helps answer or route service requests automatically.
A customer might otherwise buy separate tools for monitoring, help-desk, asset tracking and network-change control. EverestIMS says its single platform covers all of them.
Who buys and how they pay
Buyers are mid-market firms, large enterprises, telecom operators, government organisations and small businesses. They pay in two ways.
- On-premise: software installed inside the customer's own data centre for greater control. The customer pays a one-time licence fee, plus fees for extra users or modules, plus customisation fees, especially for the telecom module, plus yearly fees for updates and maintenance.
- SaaS on cloud: the same kind of software hosted by EverestIMS on cloud computers and used through a browser on yearly subscription. SaaS here means software as a service, where the customer rents rather than owns the installation.
The sales path is standard enterprise software. Partners or the direct team find a lead, demonstrate the product, agree payment and timelines, install and configure it, bill and deliver the licence or cloud login, then support it and pitch a yearly maintenance renewal. Growth then comes from adding users, adding departments and cross-selling another module to someone who bought only one.
How big it is and where it sells
Revenue is still domestic and licence-led. Services, mainly subscription and maintenance, are the second leg. Hardware bundled with software appeared only in FY2026.
| Revenue line (₹ in lakhs) | FY2024 | FY2025 | FY2026 |
|---|---|---|---|
| Sale of Software Products – Domestic (₹ in crore) | 32.51 | 46.89 | 46.76 |
| Sale of Software Products – Export (₹ in crore) | 2.22 | 1.09 | 3.30 |
| Sale of Services – Domestic (₹ in crore) | 9.09 | 7.08 | 9.18 |
| Sale of Services – Export (₹ in crore) | 1.40 | 1.48 | 0.63 |
| Sale of Hardware – Domestic (₹ in crore) | — | — | 5.25 |
| Total Revenue from Operations (₹ in crore) | 45.23 | 56.54 | 65.12 |
India was over 92% of revenue in each year, at Rs 61.20 crore in FY2026. The UAE jumped to Rs 3.05 crore in FY2026 from Rs 97.26 lakhs a year earlier, while Malaysia faded. Other export countries each contributed very small amounts. Within India, Karnataka, Maharashtra and Haryana together dominate, with Maharashtra surging in FY2026.
The business is lumpy by nature. Enterprise deals close in projects, not daily, and billing depends on milestones and acceptance. The top 10 customers took about 89% of revenue in FY2026, and the March quarter alone carried over half the year's sales while the June quarter was almost nothing. The order book was Rs 39.12 crore on August 31, 2026, which covers only part of a year's sales.
How it delivers and what scale looks like
It sells directly, including through its US subsidiary Infraon Corp, and through channel partners, distributors and agents who find and close deals. Offices are leased in Bangalore, Mumbai and Gurgaon, plus the Delaware subsidiary. Headcount was 230 on March 31, 2026, with 107 in engineering, 59 in customer success and support and 30 in sales.
| Operating metric | FY2024 | FY2025 | FY2026 |
|---|---|---|---|
| Order book as on August 31, 2026 (₹ in crore) | — | — | 39.12 |
| Employees on payroll as on March 31, 2026 (Nos.) | 157 | 201 | 230 |
| Top 10 customers share of total Revenue (%) | 88.89% | 86.31% | 88.77% |
| Top 10 suppliers share of total Purchases (%) | 100.00% | 99.49% | 99.62% |
| Trade Receivable Days (in Days) | 205 | 220 | 249 |
| Trade Payable Days (in Days) | 53 | 16 | 68 |
| Net Working Capital Requirement (Rs. in crore) | 23.43 | 23.64 | 35.22 |
Receivable days measure how long sales stay unpaid. At 249 days, customers take about eight months to pay. Supplier dependence is also extreme, with the top 10 suppliers accounting for almost all purchases.
3. Use of Funds
The fresh issue funds three things. The OFS money goes to the selling shareholders, not the company.
- Purchase of IT hardware for an Artificial Intelligence Innovation and Experience Laboratory: Rs 5.66 crore
- Funding of working capital requirement: Rs 24.00 crore
- General corporate purposes: amount not disclosed, to be set from the final price
The lab is computers, servers, storage and switches inside the existing office to build and show AI features. No orders had been placed at the time of the IPO, and the vendor bill for servers and related gear has already risen, with the extra to come from internal accruals.
4. Financials Overview
All figures below are restated consolidated full years ended March 31, with amounts in Rs crore except percentages. There is no stub period in the statements.
| Metric | FY2024 | FY2025 | FY2026 |
|---|---|---|---|
| Revenue from Operations (Rs in crore) | 45.23 | 56.54 | 65.12 |
| EBITDA (Rs in crore) | 17.44 | 22.64 | 23.34 |
| PAT (Rs in crore) | 10.83 | 14.08 | 13.14 |
| PAT Margin (%) | 23.74% | 24.36% | 19.93% |
| RoCE (%) | 56.56% | 48.63% | 36.15% |
Revenue rose in both years, up about 25% then about 15%. Profit rose then fell, with margin slipping to under 20% in FY2026. Returns on capital employed stayed high but fell sharply as the asset base swelled. Debt was nil in all three years, with an undrawn HDFC limit of Rs 22.00 crore. Operating cash flow was Rs 9.20 crore in FY2026, below profit, after Rs 2.63 crore and Rs 5.32 crore in the prior years.
5. What the financials tell us
The company sells more each year and carries no debt, but FY2026 profit slipped even as sales grew. Reported profit is helped by treating software wages as an asset, cash stays locked for months in unpaid bills, and a few customers plus one strong quarter decide the year.
Sales grew but profit slipped as hardware changed the mix
Revenue kept climbing to about Rs 65.12 crore in FY2026, yet profit fell to about Rs 13.14 crore from about Rs 14.08 crore a year earlier.
- The jump in direct costs was primarily due to bundling software with hardware sales, including a new domestic hardware sale of about Rs 5.25 crore.
- Bought-in costs therefore jumped to about Rs 8.62 crore from about Rs 2.84 crore, while write-offs on past software building and other overheads also rose sharply.
- In plain terms, hardware carries heavy purchase cost unlike pure software, so margins squeezed even as the top line grew.
This matters because it is mix and overhead pressure, not a one-off. If bundling stays, future margins depend on controlling those costs, and hardware also ties up more cash in stock and bills.
A large part of profit comes from counting software work as an asset
EverestIMS builds much of its own software and records those wages as an intangible asset rather than an immediate expense. This is called capitalisation.
- Fall in employee costs in FY2026 was primarily due to more capitalisation of product development wages.
- In that year it added about Rs 9.03 crore of home-built software while reporting profit of about Rs 13.14 crore, so about two-thirds of the profit scale was parked on the balance sheet.
- That asset now stands at about Rs 14.31 crore, and the yearly write-off, called amortisation, has risen to about Rs 5.08 crore.
The cash has already left when wages are paid, so reported profit looks higher today but must carry that growing write-off tomorrow even if sales slow. What matters is whether the home-built software sells enough to cover its charge.
Cash stays stuck in unpaid bills and suppliers filled the gap
Customer dues grew much faster than sales and now equal roughly eight to ten months of sales when unbilled work is included.
- Receivables were about Rs 51.96 crore plus about Rs 2.63 crore of unbilled revenue against yearly sales of about Rs 65.12 crore.
- The company measures this as 249 days tied up in FY2026, up from 205 days two years earlier, linked to longer contracts with large firms on milestone payments.
- Operating cash did rise in FY2026, but only because money owed to suppliers jumped, including dues to small firms rising to about Rs 6.45 crore from about Rs 25 lakhs, not because collections improved.
The IPO puts Rs 24.00 crore toward a projected Rs 48.42 crore working need for FY2027, with the rest from internal accruals. That funds the gap rather than fixing slow collection. Any further stretch or write-off would tighten cash again, and the 239-day expectation for next year is a projection, not cash collected.
A few customers and one quarter decide the year
Most sales come from very few buyers and land very unevenly through the year.
- The top five took about Rs 49.54 crore, or about 76% of revenue in FY2026, and the top 10 took about 89%.
- The March quarter carried about Rs 36.78 crore, or about 56% of the year, while the June quarter was about Rs 37 lakhs, or under 1%.
- The order book of about Rs 39.12 crore covers only part of a year's sale.
Losing or delaying one large order or a March billing can move the whole year. That makes headline growth fragile despite continued demand from large firms.
The AI lab costs more than the IPO gives it and has no orders yet
The lab is new computers, servers, storage and switches to build and demonstrate AI features.
- The IPO allocation is Rs 5.66 crore for the hardware.
- The vendor estimate for servers, storage and switches rose from Rs 4.51 crore to Rs 7.32 crore, an increase of Rs 2.81 crore to be met from the company's own cash.
- The revised hardware total is Rs 8.47 crore, with tax and freight extra.
The RHP also warns customers may not find it affordable or relevant, so use could be lower than hoped. An investor is therefore paying for capacity ahead of proven demand, with payback depending on real customer adoption.
Promoter pay takes a material share of profit
Eight promoter-directors each drew pay in FY2026, totalling about Rs 5.08 crore against profit of about Rs 13.14 crore, or about 39%.
- This recurs each year and leaves less cash for growth or cushion than headline profit suggests.
- By contrast, other related dealings are tiny, such as lease rent of about Rs 8 lakhs to group company Vedanshi Infotech.
- There is no minority interest, so all consolidated profit belongs to owners, and the US subsidiary is under 1% of assets and profit, meaning consolidated numbers are essentially the Indian parent.
The brand trademark sits in the US subsidiary, whose accounts are not locally audited, but given its size this does not move value today.
6. Valuation Analysis
For a profitable operating software company, the right lens is earnings. Asset value matters less because the main assets are home-built software and receivables, not factories.
At the top of the band, Rs 85 a share, the post-issue price to earnings ratio is 14.1 times reported FY2026 parent profit on 21,638,178 post-issue shares, and 13.3 times at Rs 80. On the pre-issue prospectus base, Rs 85 is 11.0 times basic earnings of Rs 7.71 on a weighted average 17,044,578 shares, but a buyer pays the post-issue price, so the higher multiple is the one that matters. Post-issue book is 1.8 times at the cap and net asset value is Rs 46.05 per share on post-issue shares, against Rs 35.55 pre-issue, because fresh money lifts equity before expenses.
That is about 40% cheaper than the sole listed peer Newgen at 23.45 times, which looks optically cheap. The discount looks earned rather than a bargain. Reported earnings already benefit from capitalisation, face a rising amortisation charge of about Rs 5.08 crore, and convert slowly with 249-day receivables and hardware-mix pressure. Dilution from the 45,93,600-share fresh issue will lower per-share earnings further, and IPO cash only partly fills the working gap. Paying Rs 80 to Rs 85 for Rs 7.71 of pre-issue earnings that face those headwinds looks demanding unless collections quicken and software sales cover the write-offs.
7. Peer Analysis
| Metric | EverestIMS at Rs 85 | Newgen Software |
|---|---|---|
| P/E (x) | 14.1 | 23.45 |
| Basic EPS (Rs) | 7.71 | 21.38 |
| RoNW (%) | 21.69% | 16.91% |
| NAV per Share (Rs) | 35.55 | 126.40 |
| Total Income (Rs in crore) | 65.91 | 1,641.40 |
Basis: EverestIMS on restated consolidated FY2026, pre-issue NAV and EPS on 17,044,578 shares and post-issue P/E on 21,638,178 shares at Rs 85; Newgen on FY2026 annual report via BSE at September 11, 2026 closing price of Rs 501.40. Peer figures come from the peer's own disclosures rather than the company's books.
| Company | Revenue FY26 (₹ crore) | Revenue growth FY24→FY26 | EBITDA margin FY24→FY26 | PAT margin FY26 | RoCE FY26 |
|---|---|---|---|---|---|
| EverestIMS Technologies Limited | 65.12 | +44.0% | 38.23% → 35.41% | 19.93% | 36.15% |
| Newgen Software Technologies Ltd | 1,574.40 | +26.6% | 23.18% → 25.78% | 19.09% | 25.32% |
The real comparison is with one company, Newgen, is not strictly comparable given nature and turnover. Newgen is over twenty times larger in sales and offers a broader software and services suite, so it carries liquidity and scale advantages that justify a premium.
EverestIMS grew faster over two years from a small base and still shows higher margins and returns in level terms. But its trajectory weakened in FY2026 while Newgen's improved: EverestIMS margin compressed as hardware bundling lifted bought-in costs and amortisation rose, and profit fell, while Newgen expanded margin and held returns steadier. EverestIMS returns also fell sharply as capitalised software and receivables swelled the asset base without cash. With concentration near 90% for the top 10, March-quarter dependence and eight-month collections, the same earnings multiple is more expensive on risk. The discount is therefore earned by fundamentals, not mispricing.
8. Moat
What makes it different
The edge claimed is a single, fully integrated platform covering monitoring, help-desk, asset tracking, network-change control and telecom operations, sold both as subscription and as on-premise licence. For a mid-market buyer that wants one vendor instead of several point tools, that breadth plus channel training helps win and stick.
Evidence is the product description itself and certifications such as CMMI Level 3 and ISO marks that help in enterprise and government bids. But breadth alone is table stakes against giants like IBM, Microsoft, Oracle and BMC that the industry section names. What is harder to copy is maintaining six modules plus AI features in one supported platform for both cloud and customer-hosted installs, yet rivals with far larger engineering budgets can do the same.
Tailwinds
Outside forces help demand for exactly this kind of tool.
- Global IT operations and service management revenue is forecast to grow strongly to 2031, expanding the addressable market for monitoring and service tools.
- India is expected to grow even faster on digitisation, lifting home demand where the company earns over 90% of revenue.
- Enterprise shift to cloud and AI raises the need for automation, anomaly detection and self-healing that its AIOps pitch targets.
- Remote work and bring-your-own-device habits increase the number of devices to manage and secure.
Each reaches sales only if EverestIMS converts interest into licences and renewals, which depends on partners, execution and acceptance timing.
How durable the edge is
This is at best a narrow, modest moat, not a wide one. Integration and dual delivery give some stickiness once installed, because switching help-desk and monitoring systems is disruptive. But technology changes fast, large rivals have greater resources and scale, the company owns no premises, depends on few customers and suppliers, and promoter control at 80.38% leaves little outside discipline. If AI features do not prove affordable or relevant to clients, the lab spend adds cost without pricing power.
9. Risks
- Customer and revenue concentration: the top five drive about three-quarters of sales and the top buyer alone is about 30%. Losing or delaying one deal reshapes the year. This is idiosyncratic and has stayed high.
- Supplier dependence and working intensity: the top 10 suppliers are almost all purchases, and receivables at 249 days plus unbilled work lock up most of a year's sales. Growth therefore consumes cash and leans on supplier credit. Industry payment terms are long, but this level is company-specific.
- Lumpiness: the March quarter was over half of FY2026 sales while June was almost nothing. A slip in execution or acceptance pushes profit into another year.
- Technology and AI-lab execution: rapid change can strand features, and the lab's final bill of Rs 8.47 crore exceeds its Rs 5.66 crore IPO funding with no orders placed. Low adoption would leave cost without return.
- Governance and control: promoters hold 80.38% pre-offer and can dictate outcomes. Related-party pay is recurring and large against profit, a group company may do similar business save for a non-compete, and the document flags past delays in statutory filings and dues plus promoter litigation.
10. Verdict
The call rests on four load-bearing facts already laid out: profit fell while sales grew on hardware mix, about two-thirds of the profit scale was capitalised as software with a rising write-off, cash stays locked for about eight months in receivables and unbilled work with IPO money covering only part of the need, and growth rests on a handful of buyers with over half the year billed in one quarter.
Because of those facts, the about 40% discount to the sole peer is earned, not a bargain, and paying the top of the band for earnings that already include capitalisation benefit and face slower collections looks demanding for a retail buyer who needs predictable cash conversion. The thesis works only if milestone collections quicken toward the projected days, hardware mix normalises, and home-built software sells enough to cover its amortisation; it breaks if a top customer delays, receivables stretch further, or the AI capacity goes underused.