Return on Equity (ROE) is a financial ratio that measures how well a company uses its equity to generate profit.
Return on Equity is calculated by taking a company's net income and dividing it by the company's total equity.
For example, if a company has $100 million in equity and $10 million in net income, its ROE is 10%.
Return on equity is a great metric to use when comparing companies in the same industry. If you're trying to decide between two companies in the same industry, you can use ROE to determine which one is more profitable.
It can be difficult to calculate Return on Equity directly inside of Google BigQuery; that's where Causal comes in.
Causal is a modelling tool which lets you build models on top of your Google BigQuery data. You simply connect Causal to your Google BigQuery account, and then you can build formulae in Causal to calculate your Return on Equity.
Causal lets you build models effortlessly and share them with interactive, visual dashboards that everyone will understand.
In Causal, you build your models out of variables, which you can then link together in simple plain-English formulae to calculate metrics like Return on Equity. This makes your models easy to understand and quick to build, so you can spend minutes, not days, on your models.
When you're done, you can share the link to your model with stakeholders. They'll be able to view your model's outputs in a visual dashboard, rather than a jumble of tabs and complex formulae. The dashboards are interactive, letting viewers tweak your assumptions to see how they affect the model's outputs.
Causal lets you add visuals in a single click, letting you plot out graphs and distributions for metrics like Return on Equity.