RECENT POSTS
Tuesday, June 18, 2019
Popping the Lid on Smuckers’ Goodwill

Tuesday, June 11, 2019
Not Much Fizz in LaCroix Right Now

Wednesday, May 29, 2019
An Example of Calcbench, Excel, and Insight

Monday, May 20, 2019
Research Paper: Capex Spending

Thursday, May 16, 2019
Psst: Got Any Weed?

Wednesday, May 15, 2019
Open Letter: SEC Proposed Rule for BDCs

Friday, May 10, 2019
General Motors and Workhorse

Monday, May 6, 2019
How to Find Earnings Release Data

Tuesday, April 23, 2019
Following Restructuring Costs Over Time

Monday, April 22, 2019
Capex Spending: More Than You Might Think

Saturday, April 13, 2019
When AWS Takes Over the World

Thursday, April 11, 2019
Data Trends in Focus: Restructuring Costs

Sunday, April 7, 2019
How One Customer Crushed It With Calcbench

Thursday, April 4, 2019
TJX Shows Complexity of Leasing Costs Reporting

Tuesday, April 2, 2019
CEO Pay Ratios: Some 2018 Thoughts

Wednesday, March 27, 2019
Corporate Spending: Where It Goes, 2017 vs. 2018

Monday, March 25, 2019
Health Insurers: A Bit Winded?

Friday, March 22, 2019
Our New Master Class Video

Thursday, March 21, 2019
Tech Data’s Goodwill Adjustment

Tuesday, March 19, 2019
There’s Taxes, and There’s Taxes

Archive  |  Search:

You may have seen that article in the Wall Street Journal this week about growth in sour loans among big banks, led by credit card debt. According to data from the FDIC, commercial and industrial loans more than 90 days overdue surged by 22.8 percent, while write-offs of credit card debt jumped by $543 million in the first quarter.

That’s what data at the FDIC tells you. So what can data from Calcbench tell you?

To be clear, we don’t track all the same information that banks report to the FDIC. Information about gross and net charge-offs, however — we do track that, since banks disclose that data in their SEC filings. So we built a simple model to let you view charge-off information over time.

See the image below. We created a model in Excel using formulas that pull charge-off data from our databases. All you need to do is enter a bank’s ticker symbol in the upper-left field, and Calcbench does the rest.



In this example from Capital One Financial ($COF), you can see that net charge-offs have been piling up for the last few years, although first-quarter 2019’s $1.6 billion in charge-offs were slightly less than Q1 2018’s amounts. A financial analyst could use this model for any number of banks (we did) from Citigroup, to Wells Fargo, to Bank of America.

We also want to call out that this model tracks cumulative changes in charge-offs — which can be tricky to calculate, because Q4 numbers typically aren’t reported separately; they’re bundled into year-end totals. Our model automatically tracks cumulative amounts for the first three quarters and then subtracts that from the year-end total, so you can see Q4 on a stand-alone basis. (This harkens back to what Jason Voss said in our financial analysis master class earlier this year, about tracking financial disclosures over time.)

So how can you get your hands on this model? Just ask us at us@calcbench.com. We’re happy to share.

We also have, or are developing, other models that work in Excel, pulling data directly from our archives into a spreadsheet for easy analysis. If you have ideas for what you’d like us to build, let us know.

And of course, you can always tinker with your own models using our Excel Add-In. We have a whole YouTube video about how to do that.



FREE Calcbench Premium
Two Week Trial

Research Financial & Accounting Data Like Never Before. More features and try our Excel add-in. Sign up now to try the Premium Suite.