Horizontal financial analysis, also known as time series analysis, helps identify trends in a company's financial performance over time. This analysis examines revenue growth, profit margins, and cyclical patterns across monthly, quarterly, or yearly periods. While traditionally performed in Excel using formulas and charts, modern AI tools like Sourcetable now automate this process.
Sourcetable combines Excel's functionality with AI-driven automation to streamline financial analysis. The platform generates complex formulas, creates interactive charts, and provides advanced data analysis through SQL and Python integration. Its automated data cleaning and voice interaction features eliminate the need for extensive spreadsheet expertise.
Learn how to perform horizontal financial analysis efficiently using Sourcetable's AI capabilities at https://app.sourcetable.com/signup.
Sourcetable combines AI-powered automation with comprehensive horizontal financial analysis capabilities. Like Excel, it provides essential features including audit trails, calculators, charts, and multi-user collaboration. However, Sourcetable's AI capabilities automate data entry, analysis, and visualization - tasks that require manual effort in Excel.
Sourcetable streamlines horizontal financial analysis across multiple fiscal periods. It automatically uncovers critical insights about profitability, efficiency, liquidity, valuation, and debt. These automated analyses help managers optimize operations, investors evaluate opportunities, and lenders assess creditworthiness.
While Excel requires manual data processing, Sourcetable's AI automatically identifies trends and generates accurate forecasts. It enables quick comparisons against industry benchmarks and peer companies. The platform's natural language interface eliminates the need for complex formulas and manual chart creation.
Sourcetable reduces human error through automated data entry and analysis. Its AI-powered features perform complex calculations and generate visualizations automatically. This automation allows financial professionals to focus on strategic decision-making rather than manual spreadsheet maintenance.
Horizontal financial analysis reveals critical business performance trends over time. This analysis helps identify management effectiveness, business growth patterns, expense management, and R&D investment trends. Companies use these insights to project future performance and make data-driven decisions.
AI-powered financial analysis tools enhance forecasting accuracy and optimize investment strategies. These tools analyze complex datasets faster than traditional methods while minimizing human error. AI automation reduces time spent on repetitive tasks, allowing teams to focus on strategic planning.
AI financial tools offer formula conversion, in-app accessibility, and formula explanations. While some AI tools may generate occasional formula errors, they significantly streamline financial analysis workflows and uncover hidden insights in financial data.
Sourcetable's AI-powered spreadsheet enables rapid horizontal financial analysis through its natural language interface and integration with over 100 data sources. The platform excels at comparing financial metrics across multiple periods to identify growth patterns and trends.
Calculate year-over-year gross profit growth using the formula (gross profit year 2 - gross profit year 1) / gross profit year 1 * 100
. Sourcetable's AI assistant accelerates this analysis by automating formula creation and data cleaning across reporting periods.
Sourcetable's external integrations through Python and SQL enable direct comparison of financial positions against competitors. The AI assistant can summarize and chart competitive growth trends automatically, streamlining horizontal analysis across multiple companies.
Identify seasonal patterns and growth factors by analyzing base year versus comparison year data. Sourcetable's AI capabilities accelerate the creation of trend visualizations and automated data summaries to reveal key financial insights.
Automated Data Processing |
Automate repetitive financial calculations and data cleanup tasks to streamline horizontal analysis workflows across multiple time periods. |
Cross-Team Financial Analysis |
Enable collaborative analysis of year-over-year financial trends through shared workspaces and automated insights. |
Historical Trend Analysis |
Analyze historical financial data to identify patterns and forecast future performance using AI-powered trend detection. |
Performance Monitoring |
Track organizational financial performance with a comprehensive 360-degree view of key metrics and automated variance analysis. |
Horizontal financial analysis, also known as time series analysis, is a method of measuring a company's operating performance by comparing its financial statements to a predetermined base period. This analysis helps identify trends in financial performance over time.
Horizontal analysis can be performed using comparison periods of one month, a quarter, or a full fiscal year against the base period.
In Sourcetable, you can perform horizontal analysis by using historical data to calculate year-on-year or quarter-on-quarter growth rates, analyzing multiple periods to identify trends, and using these trends to forecast future performance and make informed decisions.
Sourcetable provides insights into financial performance, helps identify trends and patterns in financial data, and enables better decision-making through its analysis capabilities.
Horizontal financial analysis reveals crucial performance trends by comparing financial statements across time periods. While Excel remains a standard tool for this analysis through features like Forecast Sheet, modern AI-powered alternatives like Sourcetable streamline the process. Sourcetable combines spreadsheet functionality with an AI assistant that responds to natural language commands, making trend analysis and forecasting accessible without advanced Excel skills.
The platform's integration with over 100 data sources and ability to execute Python or SQL code enables comprehensive financial comparisons. For businesses seeking efficient horizontal analysis, Sourcetable offers a powerful solution that merges traditional spreadsheet capabilities with advanced AI assistance.
To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel or Google Sheets.
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (tsv), database data (MySQL, PostgreSQL, MongoDB), application data, and most plain text data.
Sourcetable supports files up to 10gb in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
Yes! Sourcetable's AI makes intelligence decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control you can also refer to specific tabs by name.
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.
Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
Yes! By default all users receive a free trial with enough credits too analyze data. Once you hit the monthly limit, you can upgrade to the pro plan.