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“Deposit accretion” refers to the incremental increase in deposits in banks over a given period. It is the growth in deposits (new deposits + renewals – withdrawals) that banks collect, which enlarges their liability base and funds available for lending.
Think of a water reservoir (the bank) that needs inflows (rain, tributaries) to keep its water level sufficient for demands (usage, irrigation). Deposit accretion is like the rain + tributaries – evaporation; you need steady inflows to ensure you can supply water without drying up or using up stored reserves.
Here is a table summarising how deposit accretion helps banks, and where weak accretion poses risks:
CRISIL has flagged that in recent quarters, the contribution of households to deposit accretion has declined, which has consequences: weaker deposit stability, less liquidity cushion, and more stress in small business (MSME) lending since alternate or wholesale funding is more expensive or less reliable. All this could feed into asset quality deterioration.
However, in the public reports I found, exact numbers for household share in deposit accretion decline in Q4 FY2024-25 or in the latest quarter are not clearly broken out (in CRISIL’s public documents) in the way “household vs non-household deposit accretion” is specified.
I couldn’t find a table with “household share of deposit accretion in Q4 FY25 vs Q4 FY24” with bank-wise data. So this remains a data gap: the exact magnitude of decline in household contribution. CRISIL’s statements are qualitative: that household contribution has dropped.
Below is a table summarizing recent deposit growth, credit growth, and some metrics.
Given the qualitative inputs from CRISIL that household deposit accretion is falling, even if total deposits are growing, shifts away from household savings (toward other instruments) may reduce the stability and predictability of such funds.
CRISIL’s forecasts, performance in Q1, and outlook for H2 FY26 paint this picture:
RBI tends to monitor sectoral credit demand, monetary policy, inflation, etc., but no explicit forecast (in the sources I found) that says “credit growth in Q3 will be X%, credit growth in Q4 will be Y%”.
Corporates’ decision to borrow (or not) from banks depends on interest rates, cost of funds, flexibility, speed, and comparative attractiveness of alternative financing (bond markets, commercial paper, etc.). Part of this relates to how various loan rates are structured, how interest rate cuts (like repo) feed through into those, and where delay / friction lies.
Here are key types of interest rates relevant in bank lending:
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If you are a corporate (or borrower) trying to choose:
Corporates tend to prefer bond / market borrowing when bank rates (floating or MCLR etc.) lag behind bond yields, or when bond yields become comparatively lower, or when banks’ credit appraisal or loan conditions are stringent.
CRISIL explicitly noted that corporates shifting to bond markets was one of the reasons corporate credit growth was weak in Q1 FY26.
Deposit growth is the rate at which the total deposits held in the banking system grow over time. It includes new deposits, renewals, and possibly transfers between banks, minus withdrawals. It reflects household savings, corporate deposits, term deposits, savings accounts, etc.
Strong deposit growth is critical because banks use deposits to fund advances (loans), to maintain liquidity, to meet regulatory liabilities (CRR, SLR), and to ensure cost of funds remains manageable.
If deposit growth lags, banks may face “funding gaps”, be forced to depend on expensive wholesale or interbank borrowing, or reduce credit growth.
To help boost deposit growth / liquidity for banks, RBI has proposed / implemented a four-phased reduction in Cash Reserve Ratio (CRR). Lower CRR means banks need to keep a smaller fraction of their deposits in non-interest bearing reserves with RBI, freeing up more funds to lend or to invest. The CRR reduction is phased to avoid liquidity risk or inflationary pressure.
Asset quality refers to how “healthy” a bank’s loan book is: specifically, the proportion of loans that are performing vs non-performing (i.e. stressed: not being serviced, in default or arrears). Key metrics include Gross Non-Performing Assets (GNPA), Net NPAs, Provision Coverage Ratio, etc. A high ratio of NPA means a higher share of loans are bad, which requires provisioning, reduces profitability, reduces capital, and imposes risk on the bank.
Imagine you lend out many umbrellas to people, and expect them to return them in good condition. If some borrowers don’t return them (or return broken ones), then your stock of usable umbrellas declines, affecting how many you can lend next time, and rendering your business risky. The more defective or unreturned umbrellas you hold, the worse your ability to do business.
CRISIL estimates that the gross NPA ratio for banks will be around 2.3-2.5% by end of FY 2026. It adds that while asset quality will show some stress (especially in MSME / small business/unsecured retail segments), overall GNPA will remain low compared to historical highs.
So the forecast is for a modest increase or stability from current levels, but no large jump as seen in past cycles.
Putting it all together:
The sluggish economy, weak household deposit accretion, and corporate substituting bank loans with bond market financing all pose challenges. Banks must manage funding costs carefully, improve transmission of rate cuts, ensure regulatory changes are implemented, and watch asset quality especially in riskier loan segments.
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