# How to Perform Bank Reconciliation Using VLOOKUP in Excel

Accountants always have to do reconciliations in their daily job. It helps to observe and maintain equality in both-sided transaction ledgers. One of the most common reconciliations is bank reconciliation. Most of the time, the records are in thousands. With the help of the Excel VLOOKUP function, you can complete the task easily. In this tutorial, I will write how to perform bank reconciliation with the VLOOKUP function in Excel.

The above image is an overview of bank reconciliation with the VLOOKUP function. From this image, we can easily find out which transaction row has discrepancies in values.

## How to Perform Bank Reconciliation by Applying VLOOKUP in Excel: 3 Easy Steps

I will create two datasets of a Bank named Bank Statement and General Ledger, where the attributes are Transaction ID, Clients, Date, and Amount. From the datasets, I will show the process of reconciliation of the Amount by using the VLOOKUP function. I used the Microsoft Excel 365 version in this tutorial.

### Step-1: Creation of Basic Dataset

The first dataset is Bank Statement. This Dataset holds the transaction records from the bank. The Transaction ID is the unique identification number of each transaction, the Clients is the name of the organization that had the transaction, the Date column has the date information, and lastly, the Amount column holds the transaction amount.

The second dataset is General Ledger. This is the record of the accountant. Similar to the Bank Statement dataset, this dataset also has identical columns.

I will match the General Ledger dataset with the Bank Statement dataset to reconcile the amount.

### Step-2: Calculation of Differences by Using the VLOOKUP Function

To do the comparison between the Amount column of both the Bank Statement and the General Ledger, I will first create a column in the General Ledger dataset.

Now, I will compare the Amount columns. To do that, I will find exact matches with the VLOOKUP function, and then subtract the Amount of General Ledger from the Amount of the Bank Statement.

• Select cell F5.
• Type the following formula to make the comparison:

`=VLOOKUP(B5,'Bank Statement'!B5:E15,4, FALSE)-E5`

Formula Breakdown

• VLOOKUP(B5,’Bank Statement’!B5:E15,4, FALSE) â†’ The VLOOKUP function will search for the exact match between the Transaction ID of both datasets and return the value of Amount.
• B5 is the lookup value, which is the Transaction ID of the General Ledger.
• ‘Bank Statement’!B5:E15 is the lookup array, which is the whole dataset of the Bank Statement.
• 4 is the column number of Amount to which the value will be returned.
• FALSE is the condition for exact match.
• Output â†’ \$26,800.00.
• VLOOKUP(B5,’Bank Statement’!B5:E15,4,FALSE)-E5 â†’ becomes
• \$26,800.00-E5 â†’ Here, the Amount of both datasets will be subtracted.
• Output â†’ \$0.00.

• After that, fill the other cells using the Autofill Feature.

Now, I have both dataset amounts comparison.

### Step-3: Applying Filter Feature to Highlight Transactions With Discrepancies

When the datasets are larger, it is difficult to find out the discrepancy or reconcile them. I will use the Filter feature of excel to filter out the cells with values of \$0.00.

• Select the whole dataset.
• Find the Filter option from Sort & Filter under the EditingÂ group.

• Click on Filter.

• Now, unselect the option with \$0.00.
• This way, I have the dataset of General Ledger with only the Amount of discrepancy cells.

The final look of the dataset is like the following image below.

So, the faulty calculated transactions are visible now. You have to just deduct the extraÂ \$100.00Â andÂ \$400.00Â from the faulty values now. Then all of these miscalculations will be reconciled.

Read More: How to Reconcile Data in Excel

## Practice Section

On the Practice Section worksheet, you will find a dataset to practice on your own. Make the comparison between the Bank Statement dataset and the Practice Section dataset.

## Related Articles

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Rabeya Islam

Rabeya Islam, BSc, Computer Science and Engineering, East West University, Bangladesh, has been working with the SOFTEKO for more than one and half years. She has written some articles for ExcelDemy. Currently, she is working as the team leader, oversees the day-to-day work, and leads the SQA team Excel Extensions project. She has built the workflow and the structure of the extension testing for the team. Her work and learning interests vary from Microsoft Office Suites, VBA, and... Read Full Bio

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