Results filed 24 October 2026 · Market cap ₹24,805 crore · PE 67.8
GrowthGuidance introducedTranscript read
Revenue
+335.7%
on a year ago
EBITDA
+334.0%
on a year ago
Profit to shareholders
+334.8%
on a year ago
EBITDA margin
14.9%
+0.2 pts on last quarter
Netweb Technologies reported record Q2 FY27 performance with revenue growing 335.7% YoY to ₹1,323 crore and PAT rising 334.8% YoY to ₹137 crore, driven by 10x growth in AI Systems. The order book stood at ₹2,629 crore with an additional L1 position of ₹653 crore, supporting management's FY27 revenue target of ₹4,000 crore. Working capital expanded as inventory days stretched to 117 days to support order fulfillment, while top-5 customer concentration increased sharply to 76.5% in H1 FY27.
Netweb Technologies India Limited, Q2 FY27₹ crore, standalone
Q2 FY27
Q1 FY27
vs previous quarter
Q2 FY26
vs a year ago
Revenue
1,323
820
+61.4%
304
+335.7%
Operating profit (EBIT)
194
117
+65.2%
42.03
+360.6%
Operating margin
14.6%
14.3%
+33 bps
13.8%
+79 bps
Other income
12.86
8.47
+51.8%
0.92
+1297.8%
Exceptional items
0
0
–
0
–
Profit before exceptional items and tax
183
114
+60.0%
42.03
+334.6%
Profit to shareholders
137
85.32
+60.2%
31.43
+334.8%
Earnings per share (₹)
23.54
14.98
+57.1%
5.55
+324.1%
Source: Netweb Technologies India Limited’s filing to NSE, 24 October 2026. Operating profit is revenue less every expense except interest, so it leaves out other income and exceptional items. n.m.: not meaningful, because the earlier figure was zero or negative, or the latest one is a loss.
What stood out
Massive quarterly revenue surge of over 4x YoY led by AI systemsSourceIn Q2 financial year '27, revenue from operations grew at a rate of 335.7% year-on-year to INR1,323 crores... AI systems remained our primary growth driver, contributing INR773 crores or 58.4% of revenue from operations, registering a growth of 1,068.1% year-on-year (Sanjay Lodha, Transcript page 3).
Robust order book and large addressable opportunity pipelineSourceAs on September 30, 2026, our order book stood at INR2,629 crores with an additional L1 position of INR653 crores... Our active pipeline of approximately INR11,152 crores represent the total value of business opportunity currently under pursuit (Sanjay Lodha, Transcript pages 4-5).
Customer concentration increased significantly at the top endSourceTop 5 customer concentration reached 76.5% in H1 FY27 (up from 62.2% in FY26 and 50.8% in FY25), and Top 10 customer concentration reached 85.2% (up from 76.4% in FY26) (Presentation page 13 / page 18).
Guidance
Metric
Guidance
Period
RevenueSourceI can only assure you one thing that we are targeting to achieve INR4,000 crores of revenue this particular financial year (Sanjay Lodha, Transcript page 11).
Targeting INR4,000 crores for FY27
FY27
Medium-term Revenue CAGRSourcewe are very confident to maintaining that growth for at least next 2 to 3 years, actually... pipeline keeps on adding every day. So that gives us a confidence that basically we'll keep on growing at the same rate of 30% to 40% (Sanjay Lodha, Transcript page 12).
30% to 40% CAGR for the next 2-3 years
Next 2-3 years
Operating EBITDA MarginSourcecompany has showcased operating EBITDA margins to remain around 14%... maintaining the EBITDA margins, what we have said that 13%, 14%, we have slightly crossed that in this H1, but not to be quoted for the entire year (Ankit Kumar Singhal, Transcript pages 8, 18).
Around 14% (13% - 14% range)
Full Year FY27
Cash Conversion CycleSourceAnd what we anticipate that our cash conversion cycle will operate between 90 to 110 days... So 90 to 110 is the range where our working capital cycle will operate (Ankit Kumar Singhal, Transcript page 10).
90 to 110 days range
Forthcoming year
Tailwinds
Surging domestic demand for AI infrastructure and sovereign computeSourceThe India AI mission represents a major structural tailwind for the domestic AI ecosystem with the potential to accelerate development of indigenous AI capabilities... Global service providers, CSPs, data center operators, enterprises are expanding their GPU-intensive infrastructure (Sanjay Lodha, Transcript page 4).
Strong repeat customer baseSourceRevenue from repeat customers stood at 94.4% in H1 FY27 compared to 75.6% in FY26 (Earnings Presentation page 13).
Deleveraged balance sheet post-QIPSourceWe achieved a zero net debt position during the quarter with net cash position of INR14 crores as of September 2026. In addition, the company had approximately INR403 crores unutilized from the QIP proceeds (Ankit Kumar Singhal, Transcript page 6).
Headwinds
Elongation of cash conversion cycle driven by high inventory accumulationSourceOur cash conversion cycle stood at 94 days with receivable days improving to 62 days, while inventory days stood at 117 days [up from 86 days in Mar'26] (Ankit Kumar Singhal, Transcript page 6; Presentation page 20).
Gross margin pressure from component cost inflation and large-deal mixSourceGross margins have declined... component prices are up and that is adding pressure... the memory prices have gone up by 200% or maybe even more than that... when we enter into a very large-scale deals, so the profile is inherently different... gross margin becomes a game of different deal mix (Vinay Menon, Sanjay Lodha, Ankit Kumar Singhal, Transcript pages 8, 13).
Sharp increase in finance costsSourceFinance Cost rose to INR238 million in Q2 FY27 from INR9 million in Q2 FY26, up 2459.1% YoY (Earnings Presentation page 11).
New businesses and products
capacity expansion · Board approved
Establishment of wholly owned R&D subsidiary in Taiwan
Expected benefit
Deepening R&D in IT hardware, speed up R&D capabilities, and hire local hardware design engineering talent
Sourceour Board has also approved the establishment of a wholly owned subsidiary of Netweb in Taiwan for advancing our R&D efforts. This is an important step towards deepening R&D in IT hardware and strengthening our technological capabilities... So basically, we need design engineers and all that. So getting resources sometimes in India becomes a challenge... primary purpose is to have more -- to hire more manpower so that basically they can be available locally in Taiwan (Sanjay Lodha, Transcript pages 5, 7).
new product · Under development (schematics and design underway)
Vera Rubin server platform launch
Expected benefit
Offer next-generation AI platforms to customers aligned with worldwide launch timelines
Timeline
Start offering to customers by January 2027
SourceAnd in fact, the process of designing, writing schematics and creating the files and all that all has already started. And as a result of it, very soon, we'll be having first Vera Rubin system set up in the country... commercial... planning to basically start offering this product to be sold to the customers by January (Hirdey Vikram, Transcript page 8).
new business · Early stage R&D
Physical AI and Quantum Computing R&D
Expected benefit
Physical AI digital twins/simulation backbone; classical HPC quantum simulators and emulators for National Quantum Mission
Risks
Initial development stage, commercially speculative at this stage
Timeline
Long-term (initial development stage)
SourceIn physical AI, we are developing capabilities across technology stack... In quantum computing, we have commenced R&D on quantum simulators and emulators... this is just presently in an initial development stage (Sanjay Lodha & Sanjeev Sancheti, Transcript pages 5, 17).
Things to check
Revenue up over 60%: check for an acquisition or a weak year-ago quarter
High customer concentration riskSourceTop 5 customers accounted for 76.5% of H1 FY27 revenues and Top 10 accounted for 85.2%, up significantly from 62.2% and 76.4% in FY26 (Presentation page 13).
Substantial inventory build-upSourceInventory days stretched to 117 days in Sep'26 from 86 days in Mar'26 and 53 days in Mar'25, driving the cash conversion cycle up to 94 days (Presentation page 20).
How the call went
Management demonstrated strong confidence in sovereign and enterprise AI demand and order execution, providing clear guidance on FY27 revenue (~INR4,000 cr) and working capital. However, answers were guarded regarding customer-specific concentration, domestic competitive dynamics, and future technology monetization timelines.
Specific or vague
Mixed: strong operational detail on product timelines (Vera Rubin in January) and pipeline metrics, but management avoided revealing customer-specific order details, exact revenue segment splits for pipeline, and Taiwan capex numbers.
Candour
Management acknowledged gross margin compression from rising component prices (e.g., 200%+ increase in memory prices) and large-deal mix, but was somewhat dismissive of broader AI demand risks.
The hard questions
Analysts probed sharply on extreme customer concentration (Top 5 at 76.5%), discrepancies in balance sheet free cash disclosures vs filings, lack of operating leverage despite 4x scale, and timeline on physical AI monetization.
What analysts pressed on
Heavy customer concentration in top 5 and top 10 clients
Gross margin decline and lack of operating leverage in EBITDA/PAT margins
Working capital expansion and inventory buildup to 117 days
Reconciliation between presentation 'free cash' and reported balance sheet cash
Sustainability of growth post-execution of the INR2,200 crore strategic order
Answers that sidestepped
Refusal to provide segment split of the active pipeline (Sanjay Lodha: 'unfortunately, we don't share the breakup of the order book actually')
Dismissal of questions regarding competition in India (Sanjay Lodha: 'We have no idea about that')
Deflection on monetization timing for Physical AI and Quantum (Sanjeev Sancheti: 'I don't think we want to speculate on how much we can do at this point in time')
Numbers against the story
The reported 335.7% YoY revenue growth aligns well with management's narrative of unprecedented AI demand and execution of large GPU orders. However, while management highlighted operating leverage from large deals, reported operating EBITDA margin (14.9%) and PAT margin (10.2%) were flat to slightly down YoY (15.0% and 10.3% respectively in Q2 FY26) because gross margins compressed due to 200%+ memory price increases and higher deal-level scale discounts. Additionally, management emphasized customer diversification by citing 449 new customer additions in H1, yet the reported figures reveal that customer concentration rose drastically, with the top 5 customers generating 76.5% of H1 FY27 revenue compared to 62.2% in FY26.
Figures: the company’s results filing with NSE, linked under the table.
Notes written by gemini-3.8-flash from the documents above on 1 November 2026. They summarise what the company said and can contain mistakes: check the source passage before relying on a point. Not investment advice.