Niva Bupa Health Insurance Company Limited
NSE: NIVABUPAGeneral Insurance
Share price
₹77.83
+0.58% close of 8 Oct 2026
Business score
How strong the business is, in one number. The parts behind it are in Pro.
70
out of 100 · worked out 8 Oct 2026
Your ratios
The numbers you want to see first. Tap Edit to change them.
Market cap
₹14,375 Cr
P/E ratio
82.6
P/B ratio
3.8
ROCE
3.1%
ROE
3.5%
Dividend yield
0.0%
Price & valuation chart
How the share price and its valuation have moved. Hover over the chart to see any day. Prices as of the last close.
Answers
Simple answers to the questions investors ask most, from the company's own numbers.
How fast it has been growing
Sales grew 27.9% over the past year, and 34.0% a year over its longer record. Meanwhile what it keeps of every 100 rupees of sales improved from -3.0% to 1.6% over the last two years.
Whether it grew faster than its sector
It grew 34.0% a year against a sector median of 16.0% — 18.0 percentage points faster.
Room to re-rate, or risk of de-rating
Too little price history yet to compare it with its own past.
Whether growth justifies the valuation
Priced at 0.7 times its growth rate, on earnings growth of 127%.
| Profit growth | Price per ₹1 profit | Per 1% growth | |
|---|---|---|---|
| Niva Bupa Health Insurance Company Limited — this one | 127%/yr | 82.6× | — |
| ICICI Lombard General Insurance | 14%/yr | 33.3× | ₹2.4 |
| General Insurance Corporation of India | 12%/yr | 6.1× | ₹0.51 |
| Star Health and Allied Insurance Company Limited | -3%/yr | 38.0× | — |
| The New India Assurance Company Limited | 99%/yr | 33.9× | ₹0.34 |
| Go Digit General Insurance Limited | 148%/yr | 49.1× | — |
Compared with companies filed under the same label. That grouping comes from the exchange's filing category, so some of them may not be real rivals.
How it compares with its peers
Against companies the exchange files under the same label (General Insurance), it ranks 6 of 6 on returns, 1 of 6 on growth. That grouping comes from the exchange's filing category, so some of them may not be real rivals.
What makes it hard to beat — and is that still true?
No durable advantage shows in the numbers: it earns 3.5% on capital, ahead of 0% of companies filed under the same label. That grouping comes from the exchange's filing category, so some of them may not be real rivals.
Whether its growth pays for itself
This question does not fit a lender: the money it lends out is its day-to-day outflow and the deposits or premiums it takes are the inflow, so a cash bridge cannot say whether its growth pays for itself. Look at the return on owners' money instead.
Profit reality check
Is the profit real cash? Simple checks on the accounts. Facts only, not advice.
Not enough filed accounts to run these checks yet.
Latest result
What the last results showed. Whether management kept its word is in Pro.
Results are expected soon.
Checklist before you investPRO
Points for and against, in one list.
Key numbers & peers
The main numbers grouped by topic, and how the company compares with similar ones.
Price
- Market cap
- ₹14,375 Cr
- Prev close
- ₹77.83
- 52w High
- ₹91.4
- 52w Low
- ₹67.5
- Enterprise value
- —
- Beta
- 0.6
- Price CAGR 1y
- -3.0%
- Price CAGR 3y
- —
- Price CAGR 5y
- —
- Price CAGR 10y
- —
Ratios
- Return on assets
- 1.2%
- PEG ratio
- 0.7
- P/E ratio
- 82.6
- P/B ratio
- 3.8
- EV / EBITDA
- —
- Industry P/E
- 35.9
- ROCE
- 3.1%
- ROCE 5y average
- -2.8%
- ROE
- 3.5%
- Debt / Equity
- 0.1
- Interest coverage
- —
- Dividend yield
- 0.0%
- ROE 3y average
- 5.0%
- ROE last year
- 3.0%
Annual P&L
- Annual revenue
- ₹6,695 Cr
- Annual profit
- ₹131 Cr
- Operating margin
- 2.4%
- Net profit margin
- 2.0%
- EBITDA margin
- 2.4%
- Sales growth 3y
- 32.9%
- Sales growth 5y
- 36.5%
- Profit growth 3y
- 127.0%
- Profit growth 5y
- 36.0%
- EPS
- ₹0.7
- Sales growth TTM
- 28.0%
- Profit growth TTM
- -43.0%
- Dividend payout
- 0.0%
Quarter P&L
- Sales latest quarter
- ₹2,471 Cr
- Profit latest quarter
- ₹138 Cr
- YoY quarterly sales growth
- 27.9%
- YoY quarterly profit growth
- 94.4%
- OPM latest quarter
- 7.5%
Balance Sheet
- Book Value
- ₹20.5
- Face Value
- ₹10.0
- Total debt
- ₹250 Cr
- Total cash
- ₹159 Cr
- Borrowings
- ₹250 Cr
- Reserves / Equity
- 1.0
Cash Flow
- Operating cash flow
- ₹905 Cr
- Free cash flow
- ₹857 Cr
- FCF yield
- 6.0%
- Net cash flow
- -₹62 Cr
Shareholding
- Promoter holding
- 55.3%
- FII holding
- 12.1%
- DII holding
- 16.2%
- Public holding
- 16.4%
Peer comparison
| Company | Price ₹ | P/E | Mkt cap ₹ Cr | Div yield % | Profit qtr ₹ Cr | Profit var % | Sales qtr ₹ Cr | Sales var % | ROCE % |
|---|---|---|---|---|---|---|---|---|---|
| ICICI Lombard | 1,617.80 | 33.4 | 80,828 | 0.84 | 403.2 | -46.0 | 7,088.2 | 10.8 | 21.9 |
| General Insuranc | 310.45 | 6.2 | 54,465 | 4.26 | 1,743.7 | -31.1 | 14,400.9 | -1.5 | 17.4 |
| Star Health Insu | 553.10 | 38.6 | 32,557 | 0.00 | 549.7 | 25.5 | 5,522.1 | 13.2 | 9.7 |
| New India Assura | 163.30 | 35.0 | 26,912 | 0.89 | -239.2 | -160.6 | 11,899.7 | 1.5 | 4.3 |
| Go Digit General | 263.45 | 49.5 | 24,373 | 0.00 | 86.4 | -37.5 | 2,427.0 | 8.5 | 13.1 |
| Niva Bupa Health | 78.21 | 83.0 | 14,463 | 0.00 | 137.8 | 92.9 | 2,471.3 | 27.9 | 3.1 |
| Median | 286.95 | 36.8 | 29,734 | 0.42 | 270.5 | -34.3 | 6,305.2 | 9.7 | 11.4 |
Competes with: General Insurance Corporation of India, Go Digit General Insurance Limited, ICICI Lombard General Insurance, Star Health and Allied Insurance Company Limited, The New India Assurance Company Limited
Quarterly results
Sales and profit for each of the last 13 quarters. Newest on the right. ₹ crore.
| Line item | Sep 2023 | Dec 2023 | Mar 2024 | Jun 2024 | Sep 2024 | Dec 2024 | Mar 2025 | Jun 2025 | Sep 2025 | Dec 2025 | Mar 2026 | Jun 2026 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sales | 969 | 1,026 | 1,316 | 1,124 | 1,321 | 1,258 | 1,671 | 1,932 | 1,574 | 1,611 | 2,251 | 2,471 |
| Expenses | 1,027 | 1,071 | 1,215 | 1,228 | 1,387 | 1,282 | 1,420 | 1,834 | 1,627 | 1,705 | 2,069 | 2,287 |
| Operating Profit | -58 | -46 | 100 | -103 | -66 | -24 | 251 | 98 | -53 | -94 | 182 | 184 |
| OPM % | -5.94 | -4.44 | 7.64 | -9.19 | -4.96 | -1.88 | 15 | 5.08 | -3.38 | -5.85 | 8.07 | 7.45 |
| Other Income | 50 | 50 | 57 | 84 | 79 | 37 | -45 | -0 | 18 | 7 | -1 | -0 |
| Interest | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Depreciation | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Profit before tax | -8 | 5 | 157 | -19 | 13 | 13 | 206 | 98 | -35 | -88 | 181 | 184 |
| Tax % | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 12 | 25 |
| Net Profit | -8 | 5 | 157 | -19 | 13 | 13 | 206 | 71 | -35 | -88 | 159 | 138 |
| EPS in Rs | 0.07 | 1.13 | 0.39 | -0.19 | -0.47 | 0.86 | 0.75 |
Profit & loss
Yearly sales, costs and profit for 12 years, plus the last 12 months (TTM). ₹ crore.
| Line item | Mar 2019 | Mar 2020 | Mar 2021 | Mar 2022 | Mar 2023 | Mar 2024 | Mar 2025 | Mar 2026 | TTM |
|---|---|---|---|---|---|---|---|---|---|
| Sales | 851 | 1,057 | 1,413 | 1,877 | 2,853 | 4,115 | 5,374 | 6,695 | 7,907 |
| Expenses | 880 | 1,094 | 1,435 | 2,328 | 3,183 | 4,228 | 5,292 | 6,534 | 7,689 |
| Operating Profit | -29 | -37 | -22 | -451 | -330 | -113 | 83 | 160 | 218 |
| OPM % | -3.40 | -3.50 | -1.50 | -24 | -12 | -2.70 | 1.50 | 2.40 | 2.80 |
| Other Income | 0 | 0 | 0 | 281 | 374 | 224 | 155 | 2 | 23 |
| Interest | 3 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 |
| Depreciation | 16 | 21 | 22 | 27 | 32 | 29 | 25 | 36 | 0 |
| Profit before tax | -48 | -62 | -50 | -197 | 13 | 82 | 214 | 127 | 242 |
| Tax % | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | |
| Net Profit | -48 | -62 | -50 | -197 | 13 | 82 | 214 | 131 | 174 |
| EPS in Rs | 1.17 | 0.71 | 0.95 | ||||||
| Dividend Payout % | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Compounded growth
Average yearly growth over different spans, as stored. A span can cross a demerger or an acquisition.
Compounded sales growth
- 10 years
- —
- 5 years
- 36%
- 3 years
- 33%
- TTM
- 28%
Compounded profit growth
- 10 years
- —
- 5 years
- 36%
- 3 years
- 127%
- TTM
- -43%
Stock price CAGR
- 10 years
- —
- 5 years
- —
- 3 years
- —
- 1 year
- -3%
Return on equity
- 10 years
- —
- 5 years
- 3%
- 3 years
- 5%
- Last year
- 3%
Balance sheet
What the company owns and what it owes, at the end of each year. ₹ crore.
| Line item | Mar 2019 | Mar 2020 | Mar 2021 | Mar 2022 | Mar 2023 | Mar 2024 | Mar 2025 | Mar 2026 |
|---|---|---|---|---|---|---|---|---|
| Equity Capital | 981 | 1,126 | 1,350 | 1,409 | 1,511 | 1,700 | 1,827 | 1,847 |
| Reserves | -719 | -780 | -773 | -903 | -683 | 351 | 1,949 | 1,939 |
| Borrowings | 0 | 0 | 0 | 250 | 250 | 250 | 250 | 250 |
| Other Liabilities | 737 | 891 | 1,322 | 1,983 | 2,799 | 3,891 | 5,735 | 7,240 |
| Total Liabilities | 1,000 | 1,237 | 1,899 | 2,738 | 3,877 | 6,192 | 9,760 | 11,276 |
| Fixed Assets | 30 | 39 | 46 | 49 | 52 | 58 | 66 | 85 |
| CWIP | 2 | 2 | 2 | 1 | 4 | 1 | 9 | 3 |
| Investments | 816 | 1,067 | 1,622 | 2,401 | 3,366 | 5,458 | 8,175 | 9,670 |
| Other Assets | 152 | 129 | 230 | 287 | 455 | 675 | 1,510 | 1,518 |
| Total Assets | 1,000 | 1,237 | 1,899 | 2,738 | 3,877 | 6,192 | 9,760 | 11,276 |
Cash flows
Real money coming in and going out each year — from the business, from investments and from loans. ₹ crore.
| Line item | Mar 2019 | Mar 2020 | Mar 2021 | Mar 2022 | Mar 2023 | Mar 2024 | Mar 2025 | Mar 2026 |
|---|---|---|---|---|---|---|---|---|
| Cash from Operating Activity | 257 | 338 | 593 | 813 | 1,654 | 905 | ||
| Cash from Investing Activity | -374 | -723 | -829 | -1,882 | -2,348 | -961 | ||
| Cash from Financing Activity | 280 | 374 | 280 | 1,110 | 771 | -5 | ||
| Net Cash Flow | 164 | -12 | 43 | 41 | 78 | -62 | ||
| Free Cash Flow | 229 | 309 | 555 | 780 | 1,614 | 857 |
Ratios
How fast customers pay, how long stock sits, and how well capital earns — year by year.
| Line item | Mar 2019 | Mar 2020 | Mar 2021 | Mar 2022 | Mar 2023 | Mar 2024 | Mar 2025 | Mar 2026 |
|---|---|---|---|---|---|---|---|---|
| Debtor Days | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Cash Conversion Cycle | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Working Capital Days | -264 | -270 | -290 | -341 | -313 | -298 | -351 | -354 |
| ROCE % | -19 | -10 | -30 | 1 | 5 | 7 | 3 |
Price trend
The price as a Renko brick chart: small moves drop out so the bigger path stands out.
Every brick is the same size, about one typical day's move. A new brick needs a full brick's move; turning the other way needs two. Bricks show where the price went, not where it will go.
Open interestPRO
Where option traders are positioned on this stock.
Industry numbers
The numbers that matter most in this industry, from the company's own filings.
incurred claims ratio % (general insurer)
68.11pct
2026-03-31
combined ratio %
103pct
2026-03-31
gross written premium per quarter of a general insurer (standalone), incl. inward reinsurance
2,880inr_cr
2026-03-31
13-month persistency %
91.80
guarantees / comfort given for promoter, promoter group, directors and KMP
0.00cr
2026-03-31
loans outstanding to promoter, promoter group, directors and KMP (governance filing)
0.00cr
2026-03-31
security given for the borrowing of promoter, promoter group, directors and KMP
0.00cr
2026-03-31
FY revenue / permanent employees + workers, same basis (calc)
65,69,522inr
2026-03-31
solvency ratio (multiple)
2.49x
2026-03-31
News
News and filings about Niva Bupa Health Insurance Company Limited. Open one to see why it matters.
No recent news for this company.
Supply chain
Who it buys from, sells to and competes with — as recorded in our map of company links.
Competes with
Depends on the price of
- Bond Markets
- Interest Rates
Products sold by
Buys from
- Medi Assist Healthcare Services Limited · TPA / health-benefits claims administration services
About
What the company is, from our own records: where it sits, where it makes things, and what it is made of.
- Sector
- Financial Services
- Industry
- General Insurance
- Classification
- Financial Services › General Insurance
- ISIN
- INE995S01015
News impact
Big market events that reach Niva Bupa Health Insurance Company Limited, and how the effect spreads.
28 Sept, 18:49 IST · Market event · medium impact
RBI completes 1 trillion rupee net debt sale for first time in a decade
RBI sold a net Rs 1 trillion in bonds, draining cash and hurting lenders and fintechs, with no winner among the tracked financial firms.
Who it hits first
- India's central bank (RBI) sold a net Rs 1 trillion of government bonds this financial year, its first net sale in ten years, pulling cash from banks.
- Sales may double to Rs 2 trillion by December, pointing to tighter money and higher bond yields.
- Banks, lenders, and money apps face higher funding costs and softer loan and fee growth.
Who may gain
- Future buyers of government bonds gain higher yields as RBI supply pushes prices down.
- Savers may gain if banks lift deposit rates to keep cash.
- No tracked Financial Services firm benefits; all ten signalled names face pressure.
Along the supply chain
Downstream
Downstream, banks, NBFCs like Piramal Finance, insurers, and fintechs pass tighter money to borrowers, who face costlier credit.
Upstream
Upstream, the RBI as the source of cash is pulling back, selling bonds and draining the liquidity banks rely on to lend.
Where demand moves
Business
Business demand softens as costlier loans slow borrowing for homes, cars, and working capital, trimming lender volumes.
Capital
Capital flows out of rate-sensitive financial shares into safer bonds as yields rise, with foreign and local funds cautious until December clarity.
How it spreads across sectors
Consumer Durables
Mildly negative as costlier loans slow purchases of homes, cars, and appliances, though not yet in signals.
Financial Services
Negative as Rs 1 trillion sales drain liquidity and lift yields, squeezing lenders, insurers, and fintechs on funding and volumes.
A pattern seen before
Cascade chain
- RBI sells Rs 1T bonds → banking liquidity drains
- Liquidity drain → bond yields rise, funding costs up
- Higher rates → NBFC, Real Estate and Auto loan growth slows
- Costlier credit → Consumer Durables demand softens
Pattern name
RBI Rate Cascade
Patterns
- RBI Rate Cascade
- Rupee Cascade
Sectors queried
- Auto
- Banking
- Consumer Durables
- IT Services
- Infrastructure
- NBFC
- Oil & Gas
- Pharma
- Real Estate
When it plays out
Immediate
1-7 days: bond yields firm and financial shares stay soft as traders price the Rs 1 trillion drain.
Medium term
1-6 months: if sales double by December, pressure extends; a pause steadies lenders.
Short term
1-4 weeks: bank funding costs and loan growth prints show how tight money has turned.
24 Sept, 15:09 IST · Market event · high impact
Insurance overhaul: How will new proposal impact you?
India's insurance regulator proposed capping sales commissions, squeezing online seller Policybazaar and pressuring distributors while giving insurers lower costs and buyers possibly cheaper policies.
Who it hits first
- India's insurance regulator IRDAI has proposed caps on the commissions paid for selling insurance policies.
- PB Fintech, which runs the Policybazaar online marketplace, earns a cut of each policy sold and would see that revenue squeezed.
- Life and health insurers sold on Policybazaar, including HDFC Life Insurance, SBI Life Insurance, ICICI Prudential Life, Max Life, Star Health and Niva Bupa, would pay less per sale but could see slower sales if sellers push less.
Who may gain
- Insurance buyers, who could see slightly cheaper policies if lower commissions are passed through as lower prices
- Large life and health insurers such as SBI Life Insurance and HDFC Life Insurance, which would pay less in selling costs if sales hold up
- Direct and offline sales channels, if online marketplaces lose some pricing edge under the cap
Along the supply chain
Downstream
Downstream, buyers shopping on Policybazaar could see slightly lower prices, while competing sellers such as MobiKwik, Pine Labs and Paytm face the same fee pressure on any insurance they sell.
Upstream
Upstream, the 8 life and health insurers whose policies sit on Policybazaar, including HDFC Life, ICICI Prudential Life, SBI Life, Max Life, LIC, Star Health, Niva Bupa and ICICI Lombard, supply the product and would pay lower selling fees.
Where demand moves
Business
Business demand shifts from sellers to insurers: Policybazaar and other distributors handle the same policies for less fee income, while insurers keep more of each premium unless weaker selling push cuts volumes.
Capital
Investor money turns cautious on commission-led sellers like PB Fintech, which runs Policybazaar, and leans toward large insurers that could keep more margin, with fintech peers moving on sympathy.
How it spreads across sectors
Financial Services
Online sellers fall first on lower fee income while large life and health insurers are cushioned by cost savings, leaving banks, exchanges and asset managers largely untouched.
When it plays out
Immediate
In the first week Policybazaar shares wobble on the headline while insurers trade mixed as investors weigh lower costs against slower sales.
Medium term
If a final cap lands in coming months, seller revenue resets lower and insurers with strong agency and direct sales gain share.
Short term
Over the next few weeks industry feedback shows how strict the cap may be, keeping sellers soft and insurers range-bound.
27 Jun, 16:39 IST · Market event · medium impact
Only 14% of India's MSMEs have access to formal credit despite digital finance boom: Deloitte report
Who it hits first
- Large Rs 25 lakh crore untapped MSME formal-credit gap (only 14% of MSMEs served) = structural multi-year growth runway for MSME-focused lenders (small finance banks, NBFC-MFIs, MSME NBFCs)
- Report finds the digital-finance boom has NOT materially improved MSME formal-credit access — tempers the bull case for payments/fintech credit pass-through
Who may gain
- MSME/SME-focused small finance banks with strong asset quality (AU SFB)
- Digital credit marketplaces and co-lending platforms (Paisabazaar/PB Fintech, Pine Labs) IF credit monetization scales
Along the supply chain
Downstream
Formal MSME credit expansion flows downstream to MSME borrowers and SME-linked real demand — commercial-vehicle financing, B2B commerce platforms and supply-chain logistics would see incremental volume only if credit conversion actually improves.
Upstream
No physical input supply chain — this is a financial-services theme; the lender-side 'upstream' is funding/capital cost, and the report flags no change to bank/NBFC funding conditions.
Where demand moves
Business
Report flags large unmet MSME credit demand; this flows to lenders that can underwrite SME risk at scale (MSME-focused SFBs, MSME NBFCs and co-lending fintech). Capture, not creation: the demand already exists and accrues to franchises with the underwriting and balance-sheet quality to serve it (e.g. AU SFB).
Capital
Thematic capital favours quality MSME-credit compounders (AU SFB) over stressed microfinance names (Fusion); rich-valuation fintech (PB Fintech P/B 10.2) limits how much capital chases the marketplace angle.
How it spreads across sectors
Banking
Priority-sector MSME lending push; quality SFBs/banks with SME franchises gain a long AUM runway
Fintech
Co-lending / embedded-finance TAM, but report's own finding (digital boom hasn't closed the gap) caps near-term monetization
NBFC
MSME loan-AUM growth runway, strongest for well-capitalised MSME/SME lenders; stressed MFIs remain credit-cost constrained
codex additions
When it plays out
Immediate
Minimal price reaction expected — recurring industry report, not a discrete catalyst; MEDIUM severity
Medium term
Structural AUM-growth runway for quality MSME lenders (AU SFB) over 1-6 months; stressed MFIs remain constrained by asset-quality cycle
Short term
Watch for policy/scheme follow-through (credit-guarantee, co-lending norms) that could convert the gap into actual lending volume
Other sectors it reaches
- {"causal_chain":"Large MSME formal-credit gap -\u003e lenders need alternate underwriting, portfolio monitoring, SME scoring and due-diligence tools -\u003e higher demand for ratings, credit analytics and risk models","direction":"positive","example_tickers":["CRISIL","ICRA","CARERATING"],"magnitude":"medium","notes":"Beneficiaries are indirect; upside depends on actual lender push into MSME formalization.","sector":"Credit rating agencies / credit information analytics","time_horizon":"1_to_6_months"}
- {"causal_chain":"MSME credit gap persists despite digital finance -\u003e banks/NBFCs need better loan origination, collections, underwriting and embedded-credit systems -\u003e demand for BFSI software and workflow digitization rises","direction":"positive","example_tickers":["INTELLECT","NEWGEN","NUCLEUS"],"magnitude":"medium","notes":"Most relevant for vendors with banking, loan-management or document-workflow exposure.","sector":"Enterprise software / lending technology","time_horizon":"1_to_6_months"}
- {"causal_chain":"Formal MSME credit expansion requires digital trails, UPI acceptance, cloud apps and remote verification -\u003e MSMEs increase data, broadband and enterprise connectivity usage","direction":"positive","example_tickers":["BHARTIARTL","TATACOMM","ITI"],"magnitude":"small","notes":"Ripple is broad but diluted because MSME credit access is only one driver of connectivity demand.","sector":"Telecom and digital connectivity","time_horizon":"1_to_6_months"}
- {"causal_chain":"Underserved MSMEs need discovery, trade leads and working-capital-linked commerce channels -\u003e platforms with SME merchant bases can monetize via leads, subscriptions, payments and credit partnerships","direction":"positive","example_tickers":["INDIAMART","JUSTDIAL","MSTCLTD"],"magnitude":"medium","notes":"Positive if formal-credit products are embedded into marketplace workflows.","sector":"B2B commerce and SME marketplaces","time_horizon":"1_to_6_months"}
- {"causal_chain":"Better MSME credit availability -\u003e more inventory financing and order fulfillment capacity -\u003e higher SME shipment volumes, warehousing and B2B logistics demand","direction":"positive","example_tickers":["DELHIVERY","TCIEXP","VRLLOG"],"magnitude":"small","notes":"Second-order beneficiary; effect appears only if credit conversion improves actual MSME working capital.","sector":"Logistics and supply-chain services","time_horizon":"1_to_6_months"}
- {"causal_chain":"MSMEs with access to formal credit can replace or expand delivery vehicles, light commercial vehicles and last-mile fleets -\u003e higher CV demand and financing activity","direction":"positive","example_tickers":["TATAMOTORS","ASHOKLEY","EICHERMOT"],"magnitude":"medium","notes":"Most relevant to small trucks, LCVs and business-use vehicles rather than passenger autos.","sector":"Commercial vehicles and fleet finance-linked autos","time_horizon":"1_to_6_months"}
- {"causal_chain":"Rs 25 lakh crore MSME credit gap implies constrained capex -\u003e improved formal-credit access could unlock machinery upgrades, automation and capacity expansion by small manufacturers","direction":"positive","example_tickers":["SIEMENS","ABB","KIRLOSBROS"],"magnitude":"medium","notes":"Longer lead-time effect; stronger if policy incentives or guarantee schemes accompany lending growth.","sector":"Industrial capital goods and machinery","time_horizon":"1_to_6_months"}
- {"causal_chain":"Formal lenders require collateral protection, property cover, liability cover and sometimes credit-linked insurance -\u003e MSME formalization expands insurable commercial assets","direction":"positive","example_tickers":["ICICIGI","NIACL","GICRE"],"magnitude":"small","notes":"Benefit is incremental and depends on lender bundling and MSME compliance adoption.","sector":"Business insurance and general insurance","time_horizon":"1_to_6_months"}
- {"causal_chain":"MSME retailers and distributors face working-capital shortages -\u003e improved credit access raises inventory holding and stock availability -\u003e higher throughput for staples and packaged goods channels","direction":"positive","example_tickers":["HINDUNILVR","DABUR","MARICO"],"magnitude":"small","notes":"Diffuse impact; more visible in rural/semi-urban distribution if kirana credit improves.","sector":"FMCG and consumer staples distribution","time_horizon":"1_to_6_months"}
- {"causal_chain":"MSME contractors, fabricators and dealers rely on working capital -\u003e formal credit access can improve project execution, dealer inventory and receivables cycles -\u003e supports cement, pipes and electrical materials demand","direction":"mixed","example_tickers":["ULTRACEMCO","ASTRAL","POLYCAB"],"magnitude":"small","notes":"Positive from credit availability, but current gap itself signals ongoing constraints for small contractors and dealers.","sector":"Building materials and small-contractor ecosystem","time_horizon":"1_to_6_months"}
27 Jun, 16:05 IST · Market event · medium impact
Turtlemint Fintech IPO GMP signals discounted market debut on June 29; IPO subscribed only 0.68x
Who it hits first
- Turtlemint (private insurtech) lists June 29 at an expected discount after an undersubscribed (0.68x) IPO and negative GMP — not investable in our universe
- The investable effect is a mild NEGATIVE sentiment read-through to listed high-multiple new-age insurtech/fintech distribution platforms; no listed peer's fundamentals change
Who may gain
- Marginal/none — the IPO is too small to materially benefit incumbent insurers or offline distributors
Along the supply chain
Downstream
No direct supply-chain link — there is no downstream customer/shortage channel; the only transmission is valuation-sentiment among listed insurtech/fintech comparables.
Upstream
No direct supply-chain link — an IPO listing is a capital-markets/sentiment event, not a goods-flow event, so there is no upstream supplier impact.
Where demand moves
Business
No goods/supply demand flow — this is a capital-markets event. The only flow is investor-demand: weak primary-market demand for an insurtech (0.68x) signals soft appetite for the digital insurance-distribution growth narrative, which spills over to secondary-market demand for listed insurtech/fintech peers (POLICYBZR most directly).
Capital
Risk-off rotation within new-age fintech: marginal capital exits high-multiple, low-profitability recent listings (PINELABS PE 160, NIVABUPA PE 120, MOBIKWIK loss-making) toward either profitable cohort names (GROWW, ROE 28.8) or established financials; effect is small and sentiment-led given the IPO's tiny size.
How it spreads across sectors
Financial Services
Valuation-sentiment pressure on premium-multiple new-age fintech/insurtech listings; mild and sentiment-led
Insurance & NBFC
Read-through to recently-listed insurers/insurtech distributors via the IPO-cohort sentiment channel
codex additions
- Capital Markets Infrastructure (BSE, CDSL, KFINTECH): weaker IPO-pipeline confidence — small
- Brokerage & Wealth Management (ANGELONE, MOTILALOFS): softer retail IPO/grey-market engagement — small
- Ratings/Analytics (CRISIL, ICRA, CARERATING): softer IPO-diligence demand if pipeline sentiment deteriorates — small
When it plays out
Immediate
Listing-day (June 29) discount for Turtlemint; mild sentiment drag on listed insurtech/fintech peers, led by POLICYBZR
Medium term
No structural impact on listed peers; their trajectories driven by own earnings, not Turtlemint
Short term
Read-through fades within days unless multiple weak new-age IPOs follow; watch IPO-pipeline sentiment
Other sectors it reaches
- {"causal_chain":"Undersubscribed fintech IPO -\u003e weaker confidence in the new-age IPO pipeline -\u003e lower listing/registry/transaction sentiment for exchanges and depositories","direction":"negative","example_tickers":["BSE","CDSL","KFINTECH"],"magnitude":"small","notes":"Sentiment-led unless multiple weak IPOs follow (Codex Layer 5.5)","sector":"Capital Markets Infrastructure","time_horizon":"1_to_4_weeks"}
- {"causal_chain":"Discounted listing expectations -\u003e reduced retail IPO/grey-market appetite -\u003e lower near-term broking engagement and cross-sell","direction":"negative","example_tickers":["ANGELONE","MOTILALOFS","IIFLCAPS"],"magnitude":"small","notes":"Codex Layer 5.5","sector":"Brokerage \u0026 Wealth Management","time_horizon":"immediate"}
- {"causal_chain":"Weak IPO reception -\u003e insurtech/fintech firms conserve cash -\u003e softer brand/performance-marketing spends","direction":"negative","example_tickers":["AFFLE","NAZARA"],"magnitude":"small","notes":"Codex Layer 5.5","sector":"Advertising, Media \u0026 Digital Marketing","time_horizon":"1_to_6_months"}
- {"causal_chain":"Insurtech valuation pressure -\u003e more scrutiny on discretionary BFSI/fintech tech spend -\u003e slower project conversion","direction":"negative","example_tickers":["TCS","INFY","LTIM"],"magnitude":"small","notes":"Diversified large-caps; limited, sentiment-based (Codex Layer 5.5)","sector":"IT Services \u0026 Digital Engineering","time_horizon":"1_to_6_months"}
- {"causal_chain":"Lower growth appetite for digital insurance distribution -\u003e moderation in lead funnels/campaign/cloud usage growth","direction":"negative","example_tickers":["BHARTIARTL","TATACOMM"],"magnitude":"small","notes":"Second-order operational spend channel (Codex Layer 5.5)","sector":"Cloud, Telecom \u0026 Data Connectivity","time_horizon":"1_to_6_months"}
- {"causal_chain":"Weak debut -\u003e other issuers may delay fundraises -\u003e softer demand for IPO diligence/ratings-adjacent work","direction":"negative","example_tickers":["CRISIL","ICRA","CARERATING"],"magnitude":"small","notes":"Codex Layer 5.5","sector":"Ratings, Analytics \u0026 Compliance Services","time_horizon":"1_to_6_months"}
- {"causal_chain":"Slower digital insurance-distribution scaling -\u003e modestly weaker long-run insured-patient funnel","direction":"negative","example_tickers":["APOLLOHOSP","MAXHEALTH"],"magnitude":"small","notes":"Diffuse 3rd-order link (Codex Layer 5.5)","sector":"Healthcare Providers \u0026 Diagnostics","time_horizon":"1_to_6_months"}
- {"causal_chain":"Weak appetite for digital insurance distribution -\u003e perceived durability of offline agent/franchise distribution moats","direction":"positive","example_tickers":["DMART","TRENT"],"magnitude":"small","notes":"Business-model-level comparison only (Codex Layer 5.5)","sector":"Traditional Consumer \u0026 B2B Distribution","time_horizon":"1_to_4_weeks"}
- {"causal_chain":"Fintech/insurtech valuation pressure -\u003e tighter hiring/expansion budgets -\u003e slower office/coworking demand","direction":"negative","example_tickers":["DLF","PHOENIXLTD"],"magnitude":"small","notes":"More pronounced if funding sentiment weakens broadly (Codex Layer 5.5)","sector":"Office Real Estate \u0026 Commercial Services","time_horizon":"1_to_6_months"}
27 Jun, 15:35 IST · Market event · medium impact
6 financial changes from July 1, 2026: ITR deadlines, Aadhaar, passport fees, SBI and HDFC Bank credit cards
Who it hits first
- SBI and HDFC Bank credit-card divisions adjust fee/reward/billing terms from July 1 (marginal fee-income tweak)
- SBICARD (SBI Cards) pure-play credit-card economics see minor reward/fee resets
- ITR deadline updates and Aadhaar/passport fee changes are administrative with no listed-equity earnings channel
Who may gain
- No clear listed-equity beneficiary — changes are routine repricing/administrative; effects are immaterial and offsetting at issuer level
Along the supply chain
Downstream
Cardholders and card-linked merchants face marginally changed fee/reward terms, but no downstream shortage or volume shock; ITR/Aadhaar/passport fee changes are end-consumer administrative costs with no corporate downstream channel.
Upstream
No supply-chain disruption — credit-card term changes flow through banks' existing card networks (Visa/Mastercard/RuPay) and BFSI IT vendors without altering input volumes or costs materially.
Where demand moves
Business
Credit-card fee/reward resets at SBI and HDFC Bank marginally shift card-spend economics; higher fees aid issuer yield while reward cuts can trim discretionary card spend at card-linked online/large-ticket retailers — net immaterial. ITR/Aadhaar/passport changes create no business-demand transfer between listed companies.
Capital
No risk-on/risk-off rotation is triggered by these administrative changes; this is a diffuse calendar event, not a sector catalyst, so no capital reallocation into or out of financials is expected.
How it spreads across sectors
Banking
Minor, immaterial fee-income repricing on credit cards at SBI and HDFC Bank
Financial Services
Routine card fee/reward resets at SBICARD; no franchise-level impact
Fintech
Marginal, seasonal payment-mix and tax-filing engagement effects, immaterial to earnings
codex additions
When it plays out
Immediate
July 1 changes take effect; negligible price reaction expected for named stocks — administrative, well-telegraphed calendar items
Medium term
No structural shift; card economics normalise; no lasting directional impact
Short term
Watch SBICARD card-spend volumes for any reward-cut sensitivity over the next 1–2 billing cycles
Other sectors it reaches
- {"causal_chain":"ITR deadline changes + Aadhaar/passport process updates + bank card billing/reward changes require backend rule updates, customer communication systems, compliance workflows and API integrations for BFSI and government-linked platforms.","direction":"positive","example_tickers":["TCS","INFY","LTIM"],"magnitude":"small","notes":"Large vendors may see only incremental change requests, but regulated-process updates support recurring BFSI/government IT demand. | Suggested by Codex Layer 5.5","sector":"IT Services / Digital Transformation","time_horizon":"1_to_6_months"}
- {"causal_chain":"Aadhaar-related changes and passport fee/process updates can increase customer queries, document verification, call-center volumes and outsourced compliance support for banks, fintechs and government service intermediaries.","direction":"positive","example_tickers":["ECLERX","FIRSTSOURCE","HGS"],"magnitude":"small","notes":"Likely volume-driven and temporary unless process complexity materially rises. | Suggested by Codex Layer 5.5","sector":"Business Process Management / KYC Services","time_horizon":"1_to_4_weeks"}
- {"causal_chain":"Passport fee changes affect passport application timing; households may pull forward or delay applications, influencing outbound travel readiness and travel-package bookings over subsequent months.","direction":"mixed","example_tickers":["EASEMYTRIP","THOMASCOOK","IRCTC"],"magnitude":"small","notes":"Impact depends on whether fees rise or fall and whether passport processing demand bunches before/after July 1. | Suggested by Codex Layer 5.5","sector":"Travel \u0026 Tourism Services","time_horizon":"1_to_6_months"}
- {"causal_chain":"Credit-card reward-point, fee and billing changes at SBI/HDFC can alter cardholder spending behavior, especially on high-reward online categories, affecting checkout mix, EMI demand and promotional economics.","direction":"mixed","example_tickers":["NYKAA","MANYAVAR","TRENT"],"magnitude":"small","notes":"Retailers with discretionary online sales may see modest shifts in payment mix rather than headline demand changes. | Suggested by Codex Layer 5.5","sector":"E-commerce / Online Retail","time_horizon":"1_to_4_weeks"}
- {"causal_chain":"Credit-card term changes can affect no-cost EMI attractiveness, reward-led purchases and large-ticket financing decisions, influencing near-term demand for electronics, appliances and phones.","direction":"mixed","example_tickers":["CROMPTON","VOLTAS","DIXON"],"magnitude":"small","notes":"Ripple is stronger if card reward cuts or fee hikes reduce effective discounts on large-ticket purchases. | Suggested by Codex Layer 5.5","sector":"Consumer Durables \u0026 Electronics Retail","time_horizon":"1_to_4_weeks"}
- {"causal_chain":"Aadhaar-related updates increase authentication, OTP, e-KYC and customer-support traffic across banks, tax portals, passport services and fintech apps, supporting telecom and digital identity rails.","direction":"positive","example_tickers":["BHARTIARTL","IDEA","TATACOMM"],"magnitude":"small","notes":"Mostly a transaction-volume and enterprise-connectivity effect, not a major revenue driver. | Suggested by Codex Layer 5.5","sector":"Telecom / Digital Identity Infrastructure","time_horizon":"immediate"}
- {"causal_chain":"More Aadhaar, tax-filing and passport-related digital transactions raise phishing, identity-fraud and data-protection risks, prompting banks, fintechs and platforms to tighten fraud monitoring and compliance controls.","direction":"positive","example_tickers":["TANLA","RATEGAIN","ZENSARTECH"],"magnitude":"small","notes":"Listed pure-play cybersecurity exposure is limited in India; tickers are proxy beneficiaries through digital communications, SaaS or IT services. | Suggested by Codex Layer 5.5","sector":"Cybersecurity / Compliance Technology","time_horizon":"1_to_6_months"}
- {"causal_chain":"ITR filing season and Aadhaar/passport documentation updates increase consumer engagement with financial records; advisors may use this window to cross-sell tax-linked insurance, health cover and travel insurance.","direction":"positive","example_tickers":["HDFCLIFE","SBILIFE","ICICIGI"],"magnitude":"small","notes":"Seasonal financial-planning behavior can create modest lead-generation benefits. | Suggested by Codex Layer 5.5","sector":"Insurance","time_horizon":"1_to_4_weeks"}
- {"causal_chain":"ITR deadline activity brings salaried and self-employed taxpayers onto financial platforms, creating opportunities for tax-planning, ELSS, advisory nudges and portfolio consolidation.","direction":"positive","example_tickers":["HDFCAMC","NAM-INDIA","UTIAMC"],"magnitude":"small","notes":"Benefit is indirect and depends on conversion from tax compliance activity into investment flows. | Suggested by Codex Layer 5.5","sector":"Asset Management / Wealth Platforms","time_horizon":"1_to_6_months"}
Dividends, splits & big trades
Money paid out, share splits and buybacks, and big buys or sells by funds and insiders.
Splits, bonuses & buybacks
- daily-prices repair: 3 rows from NSE's archive (replace 1, delete 1, insert 1), 2025-03-18..2026-02-01 (docs/flat_day_repair.md)1× · 18 Mar 2025
Documents
Annual reports, results presentations and earnings calls, straight from the source.
- Earnings call · Q1FY2730 Jul 2026
- Annual report · 2025-2617 Jul 2026
- Results presentation30 Jun 2026
Facts from company filings and exchange data. Not investment advice: nothing here tells you to buy or sell.