This table includes total number of businesses and total revenue (all incorporated statuses); sales of goods and services, and other revenues (incorporated businesses only). Values are averages in current dollars unless otherwise stated.

This table includes interest coverage ratio and gross margin. Unincorporated and all businesses only. Values are averages in current dollars unless otherwise stated.

The SME data warehouse is based on existing administrative data sources from Statistics Canada and Canada Revenue Agency. Data covers tax year 2001 to tax year 2006. The SME Data Warehouse contains a complete, up to date and unduplicated list of all businesses in Canada based on Statistics Canada's Business Register for tax years 2001-2006. This product currently produces data for Small and Medium Sized Enterprises (SMEs). SMEs are defined as enterprises with less than 250 employees and less than $50 million in total revenue.

This table includes total expenses, cost of sales (direct expenses), wages and benefits, purchases, materials and sub-contracts, opening inventory, closing inventory, operating expenses (indirect expenses), labour and commissions, amortization and depletion, repairs and maintenance, utilities and telephone and telecommunication, rent, interest and bank charges, advertising and promotion, delivery and shipping and warehouse, insurance, other indirect expenses, net profit or loss. All incorporation statuses. Values are averages in current dollars unless otherwise stated.

This table includes current ratio, debt to equity ratio, interest coverage ratio, debt ratio, revenue to equity ratio, revenue to closing inventory ratio, current debt to equity, net profit to equity, net fixed assets to equity, gross margin, return on total assets, collection period for accounts receivable. Incorporated businesses only. Values are averages in current dollars unless otherwise stated.

This table includes total number of businesses and total revenue (all incorporated statuses); sales of goods and services, and other revenues (incorporated businesses only). Values are averages in current dollars unless otherwise stated.

This table includes total expenses, cost of sales (direct expenses), wages and benefits, purchases, materials and sub-contracts, opening inventory, closing inventory, operating expenses (indirect expenses), labour and commissions, amortization and depletion, repairs and maintenance, utilities and telephone and telecommunication, rent, interest and bank charges, advertising and promotion, delivery and shipping and warehouse, insurance, other indirect expenses, net profit or loss. All incorporation statuses. Values are averages in current dollars unless otherwise stated.

This table includes percent of profitable businesses; total revenue, total expenses, and net profit (profitable businesses); total revenue, total expenses, and net loss (non-profitable businesses). All businesses only. Values are averages in current dollars unless otherwise stated.

As of June 2022, nearly ************* active businesses without employees were operating in Canada. Ontario recorded the highest number, with over *********** businesses, followed by Quebec with *** thousand. In particular, data refer to enterprises with revenues greater than ****** Canadian dollars.

According to the Government of Canada, as of 2017 small businesses employed 8.3 million individuals in Canada, or 69.7 percent of the total private labor force. By comparison, medium-sized businesses employed 2.4 million individuals (19.9 percent of the private labor force), and large businesses employ 1.2 million individuals (10.4 percent of the private labor force).

Custom build your Canadian Business List based on industry, annual sales, company size, total employees, annual revenue, and company website.

📊 Coffee Shop Financial Dataset (Synthetic, 2022–2023)

📝 Overview

This dataset simulates the financial records of a small-town coffee shop over a two-year period (Jan 2022 – Dec 2023).
It was designed for data science, bookkeeping, and analytics projects — including financial dashboards, revenue forecasting, and expense tracking.

The dataset contains 5 CSV files representing different business accounts:
1. checking_account_main.csv - Daily sales deposits (hot drinks, cold drinks, pastries, sandwiches) + operating expenses
2. checking_account_secondary.csv - Monthly transfers between accounts + payroll funding
3. credit_card_account.csv - Weekly credit card expenses (supplies, utilities, vendor charges) and payments
4. gusto_payroll.csv - Payroll data for 3 employees + 1 contractor
5. gusto_payroll_bc.csv - Payroll data for 3 full-time employees + 1 contractor + 1 seasonal employee, with actual tax breakdown for the province of British Columbia, Canada

📂 File Details

checking_account_main.csv

• date
• description
• category (Sales, Utilities, Rent, Supplies, etc.)
• amount (positive = inflow, negative = outflow)
• balance

checking_account_secondary.csv

• date
• description
• amount
• balance

credit_card_account.csv

• date
• vendor
• category (Supplies, Marketing, Utilities, etc.)
• amount (negative = charge, positive = payment)
• balance

gusto_payroll.csv

• date
• employee_id
• employee_name (Owner, Barista 1, Barista 2, Contractor)
• role (Owner, Barista, Manager, Contractor)
• gross_pay

gusto_payroll_bc.csv

This file simulates bi-weekly payroll data for a small coffee shop in British Columbia, Canada, covering January 2022 – December 2023.
It reflects realistic Canadian payroll structure with federal and provincial tax breakdowns, CPP, EI, and additional factors.

Columns: - date → Pay date (bi-weekly schedule)
- employee_id → Unique identifier for each employee
- employee_name → Owner, Barista 1, Barista 2, Manager, Contractor, plus a seasonal Barista (June–Aug 2022)
- role → Role within the coffee shop (Owner, Barista, Manager, Contractor)
- gross_pay → Total earnings before deductions (wages + tips + reimbursements)
- federal_tax → Federal income tax withheld
- provincial_tax → British Columbia income tax withheld
- cpp_employee → Employee CPP contribution
- ei_employee → Employee EI contribution
- other_deductions → Placeholder for possible deductions (e.g., garnishments, union dues)
- net_pay → Take-home pay after deductions
- tips → Declared tips (taxable, included in gross pay)
- travel_reimbursement → Non-taxable reimbursement for travel expenses (if applicable)
- cpp_employer → Employer portion of CPP contributions
- ei_employer → Employer portion of EI contributions

Notes: - Payroll data is synthetic but modeled on Canadian payroll rules (2022–2023 rates).
- A seasonal barista employee is included (employed June 1 – Aug 31, 2022).
- Travel reimbursements are non-taxable and recorded separately.
- This file allows users to practice payroll accounting, deductions analysis, and tax reconciliation.

📈 Business Context

• The coffee shop experiences higher sales September–February (holiday season & winter drinks).
• Sales dip March–June due to seasonality in a small town.
• Pastries are sourced from a local bakery, while sandwiches are made in-house.
• Payroll includes 3 employees (baristas, manager) and 1 independent contractor.

🎯 Possible Use Cases

• Build a financial health dashboard
• Forecast revenue and expenses
• Create a profit & loss statement
• Test SQL queries for accounting workflows
• Explore data visualization with Python, R, or BI tools
• Educational projects for small business analytics

📜 License

This dataset is released under the MIT License, free to use for research, learning, or commercial purposes.

⭐ If you use this dataset in your project or notebook, please credit and share your work, it helps the community!

📷 Photo Credits: freepik

This table includes total assets, total current assets, accounts receivable, closing inventory, other current assets, net tangible and intangible assets, long term assets, total liabilities, total current liabilities, current bank loans, other current liabilities, long term liabilities and total equity. Incorporated businesses only. Values are averages in current dollars unless otherwise stated.

Success.ai delivers comprehensive access to Small Business Contact Data, tailored to connect you with North American entrepreneurs and small business leaders. Our extensive database includes verified profiles of over 170 million professionals, ensuring direct access to decision-makers in various industries. With AI-validated accuracy, continuously updated datasets, and a focus on compliance, Success.ai empowers businesses to enhance their marketing, sales, and recruitment efforts while staying ahead in a competitive market.

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During an April 2020 study, ** percent of small business owners in Canada stated that COVID-19 has had a negative impact on their business. Of those respondents, ** percent said their business had experienced a drop in sales.

This CD-ROM product is an authoritative reference source of 15 key financial ratios by industry groupings compiled from the North American Industry Classification System (NAICS 2007). It is based on up-to-date, reliable and comprehensive data on Canadian businesses, derived from Statistics Canada databases of financial statements for three reference years. The CD-ROM enables users to compare their enterprise's performance to that of their industry and to address issues such as profitability, efficiency and business risk. Financial Performance Indicators can also be used for inter-industry comparisons. Volume 1 covers large enterprises in both the financial and non-financial sectors, at the national level, with annual operating revenue of $25 million or more. Volume 2 covers medium-sized enterprises in the non-financial sector, at the national level, with annual operating revenue of $5 million to less than $25 million. Volume 3 covers small enterprises in the non-financial sector, at the national, provincial, territorial, Atlantic region and Prairie region levels, with annual operating revenue of $30,000 to less than $5 million. Note: FPICB has been discontinued as of 2/23/2015. Statistics Canada continues to provide information on Canadian businesses through alternative data sources. Information on specific financial ratios will continue to be available through the annual Financial and Taxation Statistics for Enterprises program: CANSIM table 180-0003 ; the Quarterly Survey of Financial Statements: CANSIM tables 187-0001 and 187-0002 ; and the Small Business Profiles, which present financial data for small businesses in Canada, available on Industry Canada's website: Financial Performance Data.

As of 2021, most of the surveyed businesses in Canada were approved for or received the Emergency Business Account (**** percent). The Canada Emergency Business Account (CEBA) provides loans of up to ** thousand Canadian dollars to small businesses and not-for-profits. In addition, some **** percent of enterprises were eligible for the Canada Emergency Wage Subsidy (CEWS). The CEWS is addressed to businesses which suffered a loss in revenue due to the coronavirus pandemic. This subsidy is meant to cover part of the employees' wages.

This table includes interest coverage ratio and gross margin. Unincorporated and all businesses only. Values are averages in current dollars unless otherwise stated.

In 2024, retail e-commerce in Canada was forecast to generate over **** billion U.S. dollars in revenues. According to estimates, this figure is projected to increase to *** billion U.S. dollars by 2029. Successful e-commerce segments in Canada Canada's booming e-commerce sector owes more than half of its retail sales to two particularly lucrative segments: fashion and electronics, which captured ** and ** percent of all e-commerce retail sales in Canada in 2022, respectively. With nearly ** billion U.S. dollars in e-commerce net sales, Amazon was the leading online store in Canada in 2021, outperforming competitors like Walmart and Costco by an impressive margin. Ranking second, walmart.ca generated around **** billion U.S. dollars in e-commerce net sales that year. Fashion leads the way Fashion proved to be a successful e-commerce segment in many countries around the world, and Canada was no exception, as the most popular online stores in the fashion segment raked in millions of dollars in e-commerce net sales, led by gapcanada.ca with *** million U.S. dollars in 2021. Like many other countries in the world, Canada's fashion e-commerce sector was also disrupted by a Chinese newcomer that catapulted itself to the centerstage of the fast fashion world: Shein was the most downloaded fashion and beauty shopping app in Canada in June 2022, with its ******* monthly downloads overshadowing those of competitors. In comparison, long-established fast fashion titan Zara only amassed ****** downloads that same month.

This table includes current ratio, debt to equity ratio, interest coverage ratio, debt ratio, revenue to equity ratio, revenue to closing inventory ratio, current debt to equity, net profit to equity, net fixed assets to equity, gross margin, return on total assets, collection period for accounts receivable. Incorporated businesses only. Values are averages in current dollars unless otherwise stated.

SABAL - Small Area Business and Labour Data is a compendium of independent data sources brought together in one database by Statistics Canada. As a compendium, it is not a fully integrated system, therefore, dates and geographic areas covered vary between data sets selected. SABAL combines a wide variety of economic and social statistics, and provides coverage of approximately 140 urban areas and 72 economic regions, in addition to Canada, the Provinces and Territories. Some data are not available at all geographic levels. SABAL also includes metadata on each of these data sources. The business sources included are: Business Small Area File (based on Revenue Canada administrative data), Retail Trade, Building Permits, Housing Starts from CMHC, Survey of Manufacturing, Motor Vehicle Registrations, Business Counts, Consumer Price Index, and Tourism. The social sources included are: Census of Population, Small Area Administrative Data (Taxfiler Data), Labour Force Survey, Household Facilities and Equipment Survey, Education, Training, Justice, Population Projections, Family Expenditures, and Consumer Finances Survey.