When offering loan products, it’s essential for financial institutions to manage tax compliance with precision. Among the various tax obligations, one of the most critical is TDS (Tax Deducted at Source) on Interest. This ensures that tax is withheld before paying out interest earnings and remitted to the appropriate authorities in a timely and accurate manner.
This blog explores how TDS on Interest works, how it’s configured within CloudBankin’s lending platform, and how it reflects in the loan schedule and transactions.
TDS on Interest refers to the portion of tax that must be deducted from the interest component of a loan repayment before it is paid to the lender. According to Indian tax regulations, if the total interest earned crosses a predefined annual threshold (e.g., ₹5,000 or ₹10,000 in certain cases), lenders are required to deduct a percentage (usually 10%) as TDS and deposit it with the government.
This is applicable across various types of loans, personal loans, business loans, and even loans against property, especially when the lender is a registered financial institution or NBFC.
In CloudBankin’s loan product configuration, TDS on Interest can be seamlessly enabled during setup. This ensures that tax deduction is handled automatically without the need for manual intervention at every repayment cycle.
Here’s how you can configure it:
Before enabling TDS, the relevant tax group must be created.
You may create multiple tax groups for different regulatory jurisdictions or loan types, depending on business needs.
Once the tax group is defined:
Once mapped, this configuration ensures that the tax is automatically applied at the repayment level based on interest calculations.
You can refer to the embedded Google Sheet below for a detailed view of the TDS calculation and how it integrates into the repayment workflow.
Once TDS is enabled and configured, the loan schedule will automatically calculate and show the deducted tax for each repayment. Here’s a breakdown using an actual example:
In the repayment schedule, the system shows the calculated interest and the deducted TDS on each EMI. For instance:
Automating TDS tracking as part of your lending workflow brings significant advantages:
1) Compliance-Ready
TDS is deducted as per regulatory requirements and stored systematically, reducing the risk of errors or omissions.
2) Audit Trail
Each TDS deduction is linked to a repayment and transaction, making internal and external audits smooth and traceable.
3) Borrower Transparency
Borrowers get complete clarity on how interest is calculated and what portion is deducted as tax.
4) Integration-Ready
The deducted TDS values can be synced with external accounting systems, tax reporting tools, or even directly pushed to GST/TDS filing systems via APIs.
5) Operational Efficiency
Instead of handling TDS manually at every EMI, the system handles calculations, deductions, and record-keeping in real-time.
TDS on Interest is more than a regulatory formality it’s a critical component in building a trustworthy and transparent lending ecosystem. With CloudBankin’s powerful configuration engine, setting up and managing TDS becomes an automated, audit-proof, and scalable process.
Whether you’re disbursing small ticket loans or handling high-value secured lending, our system ensures that TDS is accurately calculated, deducted, and reflected in both loan schedules and transaction records. This not only enhances operational efficiency but also builds trust with borrowers and regulators alike.
By enabling Tax on Interest, choosing the correct Tax Group, and allowing the system to take care of the rest, you save time, reduce manual errors, and stay fully compliant every single time.
An interesting insight on vehicle loans for lenders.
A trend we are seeing today – the first-hand vehicle ownership is decreasing with time. Why? People are upgrading their vehicles in every few years because of technological advances. And, this can be seen more with the millennial generation.
So, what should a lender do in terms of financing?
– Estimating the residual value of the vehicle at the start of the financing period.
– Charging a borrower only for the residual value (which is the difference between the value after a few years and the current value)
Example: A bike currently is INR 1 lakh. You want to buy the vehicle for 2 years. A lender will estimate the residual value of that bike today and what it would be after 2 years. If the estimated residual value = INR 45,000, the lender will charge you only that (say, INR 55,000 with interest for this instance) during your tenure.
At the end of 2-year period, you have 3 choices:
1. Return the bike and upgrade to a new one without going through the struggle of selling it.
2. Pay the lump sum remaining amount to own the vehicle outright.
3. Extend the financing and own it by keep paying the EMIs for the remaining amount of the vehicle for the next 12 or 18 months.
Benefits for the borrowers?
– Flexibility to use a vehicle and upgrade to a new one.
– Affordability to not pay for the complete value of the vehicle with the intention to use for a lesser amount of time.
– Convenience in owning the vehicle.
Say goodbye to the old lending option and embrace the new way of financing for vehicle by lenders!
How many of us know this?
1) Tiktok does Lending ( is it an entertainment company or social media company or a fintech company?
2) Youtube China does Lending
3) Top 100 internet companies in China(no matter what business they are in) do Lending
The team which was heading Lending in Tiktok was the Advertisement team. If we do Ads, we do X no of revenue. But if we do lending, we’ll get X+30% more revenue. This is on the same Ad spot.
Ad team has transformed into a lending team, and in today’s world, it’s possible because the subject matter expertise can be put in as an API and given to you.
Embedded Lending as a service is becoming popular in India too, and I am happy to be part of this ecosystem.
The answer is No. Only the top 10 crore people have access to many credit products in India. Almost all Banks focus on this market.
Once you go beyond that, the credit access rate has dropped significantly due to multiple factors.
1) Customers who are having low income(30-40K per month)
2) Not earning from an employer who belongs to Category A or B
3) Not from Tier 1 or 2 cities
NBFCs and Fintechs focus on the above segment, pushing another 10 crores of people.
But in India, 70 crores more people are formally or informally employed, which still needs to be tapped.
After smartphone penetration, people are not watching their SMS at all. They use SMS only for OTP related transactions. That’s it.
But What can a Lender see in your SMS after you consent to them?
Lender can see income, expenses, and any other Fixed Obligation like (EMIs/Credit Card).
1) Income – Parameters like Average Salary Credited, Stable Monthly inflows like Rent
2) Expenses – Average monthly debit card transactions, UPI Transactions, Monthly ATM Withdrawal Amount etc
3) Fixed Obligations – Loan payments have been made for the past few months, Credit card transactions.
It also tells the Lender the adverse incidents like
1) Missed Loan payments
2) Cheque bounces
3) Missed Bill Payments like EB, LPG gas bills.
4) POS transaction declines due to insufficient funds.
A massive chunk of data is available in our SMS (more than 700 data points), which helps Lender to make a credit decision.
#lendtech #fintech #manispeaksmoney