Brokerages Differ on SBI’s Target by ₹210. Most Retail Trackers Don’t Tell You Why.
The cleanest way to value SBI is sum of parts. The standalone bank, plus the listed subsidiary stakes at market value, minus a holding company discount.
That’s it. Three numbers, two arguments. Yet seven different brokerages produce seven different targets between ₹870 and ₹1,080 on the same stock with the same public information.
This article reconstructs each major brokerage’s SOTP, isolates the three assumptions driving the spread, and shows where the consensus is most likely wrong.
Current Broker Targets and Where They Sit
| Brokerage | 12M Target (₹) | Rating | Implied Upside* |
|---|---|---|---|
| Jefferies | 1,080 | Buy | +31% |
| Macquarie | 1,050 | Outperform | +27% |
| CLSA | 1,025 | Buy | +24% |
| Motilal Oswal | 950 | Buy | +15% |
| ICICI Securities | 920 | Buy | +12% |
| Kotak Institutional | 880 | Add | +7% |
| Nuvama | 870 | Hold | +5% |
*from approximate CMP ₹825 as of May 2026. Always verify live prices before acting.
The spread between the highest and lowest target is 24%. That’s not noise. That’s three structural assumptions disagreeing.
The SOTP Build — Three Numbers That Determine Everything
1. Standalone Bank Value
Forward book value per share: ₹460 (FY27E) Forward P/B applied: 1.4× to 1.8× Result: ₹650 to ₹720 per share
The multiplier disagreement here is the smallest of the three. Most brokerages cluster at 1.5× to 1.7×.
2. Listed Subsidiary Stakes at Market Value
| Subsidiary | SBI Stake | Sub Market Cap (Cr) | SBI’s Share (Cr) | Per Share (₹) |
|---|---|---|---|---|
| SBI Life Insurance | 55.4% | 1,55,000 | 85,870 | 96 |
| SBI Cards & Payments | 68.9% | 70,000 | 48,230 | 54 |
| SBI Funds Mgmt (unlisted) | 62.4% | 65,000* | 40,560 | 45 |
| SBI Capital Mkts + General Ins + smaller | mixed | ~50,000 | ~25,000 | 28 |
| Sum of subsidiary stakes | ~200,000 | 223 |
*Implied based on AMC peer multiples; actual value emerges on IPO listing.
Adding subsidiary stakes raw: ₹223 per SBI share.
3. Holding Company Discount
This is the most consequential single number in SBI valuation.
| Discount Applied | Subsidiary Value After Discount | Total Target (with ₹685 standalone) |
|---|---|---|
| 10% | ₹201 | ₹886 |
| 15% | ₹190 | ₹875 |
| 20% | ₹178 | ₹863 |
| 25% | ₹167 | ₹852 |
Foreign brokers apply 10 to 15%. Indian brokers apply 20 to 25%. That single choice swings the target by ₹35.
Combine it with the standalone multiplier (1.4× vs 1.8×) and the credit cost assumption (0.4% vs 0.75%), and the full ₹210 spread becomes algebra, not opinion.
The Credit Cost Argument — The Biggest Single Swing Factor
| Steady State Credit Cost | Implied FY27 PAT | Fair Value (1.6× P/B) |
|---|---|---|
| 0.30% (optimistic) | ₹82,500 Cr | ₹1,015 |
| 0.45% (foreign broker consensus) | ₹78,200 Cr | ₹970 |
| 0.60% (Indian broker consensus) | ₹72,800 Cr | ₹905 |
| 0.75% (bear case) | ₹67,500 Cr | ₹840 |
SBI delivered 0.32% credit cost in FY24 and 0.38% in FY25. The actual data favours the foreign broker assumption. Yet the bear assumption gets embedded in Indian tracker site target prices.
Every 10bps of credit cost moves the SBI target by ~₹22 per share.
The Treasury Gain Problem — How Much of PAT Is Real?
SBI’s investment book contains ~₹17 lakh crore of debt securities. The AFS portion (Available for Sale) carries duration of ~3.8 years.
| Period | Reported PAT (Cr) | Treasury Contribution (Cr) | Ex-Treasury Core PAT (Cr) |
|---|---|---|---|
| FY23 | 50,232 | 4,800 | 45,432 |
| FY24 | 61,077 | 11,000 | 50,077 |
| FY25 | 70,900 | 8,500 | 62,400 |
When you remove treasury gains, SBI’s “real” recurring PAT growth is closer to 10 to 12% CAGR rather than the headline 18%.
Forward P/E on reported PAT: ~8.5× Forward P/E on ex-treasury core PAT: ~11.2×
The “real” P/E is in line with HDFC Bank, not below it. This reframes the cheapness narrative.
The CASA Decline — The Bear Case Most Targets Underweight
| FY | CASA Ratio | NIM (%) |
|---|---|---|
| FY21 | 46.8% | 3.04 |
| FY22 | 45.3% | 3.12 |
| FY23 | 43.5% | 3.27 |
| FY24 | 41.1% | 3.30 |
| FY25 | 39.9% | 3.22 |
CASA has dropped 690bps in four years. Each 100bps drop costs ~₹2,800 Cr in annualised NII.
If CASA falls another 200bps over FY26 to FY27, NIM compresses by 12 to 15bps, knocking 6 to 8% off operating profit.
This is structurally driven by:
- Migration to AMC liquid funds (yield 7.0 to 7.4%)
- Fintech savings products paying 4 to 6.5%
- Rising AMFI direct debit mandates pulling balances daily
This is permanent, not cyclical. Targets that ignore this are mis-pricing the long term FCF.
The Foreign vs Indian Broker Divergence — Reconciled
| Assumption | Foreign Broker | Indian Broker | Per Share Impact |
|---|---|---|---|
| Holdco discount | 12% | 22% | +₹22 |
| Steady state credit cost | 0.45% | 0.65% | +₹44 |
| Treasury gain sustainability | 60% recurring | 30% recurring | +₹35 |
| CASA decline modelled? | Yes (-150bps) | Partial | -₹18 |
| Net difference | +₹83 |
Foreign brokers come out structurally higher because of credit cost and holdco assumptions. Bridge the assumptions and the targets converge.
The SBI Funds Management IPO — The Catalyst Most Underpriced
SBI Funds Management filed its DRHP in 2024. Status as of May 2026: SEBI review complete, awaiting market window for IPO launch.
| AMC Peer | Forward P/E | AUM (₹ Cr) |
|---|---|---|
| HDFC AMC | 36× | 7,80,000 |
| Nippon Life India AMC | 28× | 6,40,000 |
| UTI AMC | 22× | 4,30,000 |
| SBI Funds (implied) | 30-33× | 11,00,000+ |
If SBI Funds lists at 30× FY26E earnings, it’s a ₹65,000+ Cr listing. SBI’s 62.4% stake = ~₹40,500 Cr, or ₹45 per SBI share.
The current SBI price embeds maybe ₹25 to ₹30 for the SBI Funds stake (heavily discounted). Listing alone unlocks ₹15 to ₹20 per share.
This is the single highest-conviction near-term catalyst on the name.
Sustainable ROE — The Number That Justifies the P/B
| Metric | FY25 Reported | Treasury Adjusted | One-off Adjusted |
|---|---|---|---|
| Reported ROE | 19.8% | 17.4% | 16.1% |
| Sustainable ROE | ~15.5 to 16.5% |
At 16% sustainable ROE and 12% required return, justified P/B = (ROE - g) / (r - g) where g = 6% growth gives ~2.0× P/B.
Current trading P/B: 1.5×. Implied undervaluation: ~25%.
Bear case: sustainable ROE is 14% (more credit cost normalisation). Justified P/B falls to 1.6×. Stock would be roughly fairly valued. This is the swing.
The Catalyst Calendar Through FY27
| Quarter | Event | Typical Impact |
|---|---|---|
| Q1 FY26 (late Jul 2026) | Results + FY guidance reset | ±6 to 9% |
| Q2 FY26 (late Oct 2026) | Festive credit visibility | ±4 to 7% |
| Q3 FY26 (early Feb 2027) | Results + Budget interaction | ±8 to 11% |
| Q4 FY26 (mid-May 2027) | Full year results | ±5 to 8% |
| RBI MPC (every 2 months) | NIM signal + treasury | ±2 to 4% |
| SBI Funds IPO (FY26 window) | Subsidiary price discovery | +6 to 10% |
| Government OFS (irregular) | Supply shock | -4 to 8% |
Position trades around these events historically outperform pure buy-and-hold by ~3% annualised on PSU bank names.
What’s Wrong With Retail Tracker Target Prices
Moneycontrol, Tickertape, and Trendlyne aggregate broker targets but display them with two systematic errors:
- Stale data: consensus updates lag 4 to 8 weeks vs Bloomberg’s daily refresh
- Equal weighting: a 6-month-old Hold target is given the same weight as last week’s Buy
- No assumption transparency: the “consensus target” hides which credit cost / holdco discount is embedded
Foreign brokers update their models within 48 hours of a quarterly result. Indian tracker sites take 4 to 8 weeks to reflect this. This delay is where retail gets caught in earnings season.
Continue Researching
For the underlying balance sheet skills to vet SBI’s restructured book yourself, see how to read a balance sheet using Reliance as the example — the same framework applies to bank balance sheets with stress on the loan book table.
For peer comparison across the largest Indian banks and IT names, see blue chip balance sheet comparison across Reliance, TCS, HDFC, Infosys.
For how to read SBI’s chart around earnings and Budget events, see how to read stock charts in India — VWAP, volume and circuit limits.
For dividend yield on SBI vs PSU peers and why high yield doesn’t always equal good returns, see highest dividend paying stocks in India — sustainable yield filter.
For the broader STCG and LTCG framework when sizing positions like SBI, see stock tax India guide on STCG, LTCG and harvesting.
For portfolio sizing decisions when SBI is a top holding, see how many stocks should be in a portfolio — ideal number for Indian investors.