Financial statements and performance
Key indicators
Selected geographical area: Canada
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$20.4 billion13.2%(annual change)
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$14.8 billion15.0%(annual change)
More financial statements and performance indicators
Selected geographical area: Canada
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$98.6 billion18.1%(annual change)
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6.8 million passengers10.7%(12-month change)
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82.8%-0.4 pts(12-month change)
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$165.4 billion
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$3.9 billion60.0%(annual change)
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Operating revenue, promoters (presenters) of performing arts, sports and similar events - Canada
(2022)$3.8 billion94.0%(annual change) -
$2.8 billion14.4%(annual change)
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$653.7 million27.0%(annual change)
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$23.1 billion7.5%(annual change)
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$13.8 billion8.7%(annual change)
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$11.4 billion5.8%(annual change)
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$996.5 million96.5%(annual change)
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$3.5 billion9.5%(annual change)
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$1.3 billion38.2%(annual change)
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$4.3 billion38.6%(annual change)
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$23.1 billion17.7%(annual change)
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$1,281.6 billion
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$66.8 billion1.7%(annual change)
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$23.7 billion12.1%(year-over-year change)
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$728.1 million16.7%(period-to-period change)
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$449.3 million16.0%(period-to-period change)
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$146.2 million1.4%(period-to-period change)
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$11.3 billion20.2%(period-to-period change)
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$1.4 billion-24.9%(period-to-period change)
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$49.9 billion2.9%(annual change)
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$62.7 billion-0.6%(annual change)
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$7.8 billion2.0%(annual change)
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All (6)
All (6) ((6 results))
- Articles and reports: 11-010-X200900610893Geography: CanadaDescription:
Using national accounts data on the financial flows, balance sheets and Canada's international investments, this paper shows how the crisis in financial markets has affected financial behaviour in Canada.
Release date: 2009-06-11 - Articles and reports: 11-522-X20050019465Description:
A recent development at Statistics Canada is the availability of monthly calendarized revenue data available from its Tax Data Division (TDD) through an agreement with Canadian Revenue Agency (CRA). This information has been shown to have a strong relationship with the revenue information collected by Statistics Canada's Monthly Survey of Manufacturing (MSM). This presentation will give a brief overview of the GST and the MSM and will concentrate on how the GST data were integrated into the survey process.
Release date: 2007-03-02 - Articles and reports: 11F0027M2005036Geography: CanadaDescription:
Burkart and Ellingsen (2004) develop a model of trade credit and bank credit rationing which predicts that trade credit will be used by medium-wealth and low-wealth firms to help ease bank credit rationing. This paper tests this and other predictions of the Burkart and Ellingsen model using a large sample of more than 28,000 Canadian firms. The author uses an endogenous method to divide the firms into the appropriate wealth categories rather than arbitrarily selecting firms likely to be credit-rationed. The data support the main predictions of the model quite well. The author finds that medium-wealth firms substitute trade credit for bank credit consistent with using it to alleviate bank credit rationing. The low-wealth firms use trade credit but it is positively linked to bank credit, suggesting those firms are constrained in both bank credit and trade credit markets, and so cannot use trade credit to adjust as much to negative shocks. The findings also suggest that there are very few unconstrained, high-wealth Canadian firms. The author also finds low-wealth, declining and distressed firms supply proportionally more trade credit than firms with healthier balance sheets.
Release date: 2005-11-04 - Articles and reports: 11F0024M20050008659Description:
Traditionally rates of return in the agriculture sector have been calculated on the market value of the assets as opposed to the historical cost. In other sectors rates of return are calculated on the basis of the historical cost of the assets which has meant that rates of returns in agriculture are not comparable to those in other sectors.
This paper calculates rates of return for incorporated farms, based on the historical cost of the assets and compares these rates of returns to those in other sectors. It also measures the impact of capital gains on the rates of return for the agriculture sector. In the final section of the paper we measure the level of risk with the rates of return both in the agricultural sector and in other sectors.
Release date: 2005-10-20 - 5. Annual Survey of Water Carriers, 2001. ArchivedTable: 50-002-X20040018641Description:
To provide data users with financial and operational data from Canadian-domiciled water carriers whose principle activity is marine transport.
Release date: 2004-02-09 - Table: 50-002-X19970023094Description:
After the double-digit growth experienced in 1993 and 1994, trucking activity by Canada-based for-hire carriers with annual intercity revenues of at least $1.0 million increased at a more moderate rate in 1995 and 1996.
Release date: 1997-06-04
Data (2)
Data (2) ((2 results))
- 1. Annual Survey of Water Carriers, 2001. ArchivedTable: 50-002-X20040018641Description:
To provide data users with financial and operational data from Canadian-domiciled water carriers whose principle activity is marine transport.
Release date: 2004-02-09 - Table: 50-002-X19970023094Description:
After the double-digit growth experienced in 1993 and 1994, trucking activity by Canada-based for-hire carriers with annual intercity revenues of at least $1.0 million increased at a more moderate rate in 1995 and 1996.
Release date: 1997-06-04
Analysis (4)
Analysis (4) ((4 results))
- Articles and reports: 11-010-X200900610893Geography: CanadaDescription:
Using national accounts data on the financial flows, balance sheets and Canada's international investments, this paper shows how the crisis in financial markets has affected financial behaviour in Canada.
Release date: 2009-06-11 - Articles and reports: 11-522-X20050019465Description:
A recent development at Statistics Canada is the availability of monthly calendarized revenue data available from its Tax Data Division (TDD) through an agreement with Canadian Revenue Agency (CRA). This information has been shown to have a strong relationship with the revenue information collected by Statistics Canada's Monthly Survey of Manufacturing (MSM). This presentation will give a brief overview of the GST and the MSM and will concentrate on how the GST data were integrated into the survey process.
Release date: 2007-03-02 - Articles and reports: 11F0027M2005036Geography: CanadaDescription:
Burkart and Ellingsen (2004) develop a model of trade credit and bank credit rationing which predicts that trade credit will be used by medium-wealth and low-wealth firms to help ease bank credit rationing. This paper tests this and other predictions of the Burkart and Ellingsen model using a large sample of more than 28,000 Canadian firms. The author uses an endogenous method to divide the firms into the appropriate wealth categories rather than arbitrarily selecting firms likely to be credit-rationed. The data support the main predictions of the model quite well. The author finds that medium-wealth firms substitute trade credit for bank credit consistent with using it to alleviate bank credit rationing. The low-wealth firms use trade credit but it is positively linked to bank credit, suggesting those firms are constrained in both bank credit and trade credit markets, and so cannot use trade credit to adjust as much to negative shocks. The findings also suggest that there are very few unconstrained, high-wealth Canadian firms. The author also finds low-wealth, declining and distressed firms supply proportionally more trade credit than firms with healthier balance sheets.
Release date: 2005-11-04 - Articles and reports: 11F0024M20050008659Description:
Traditionally rates of return in the agriculture sector have been calculated on the market value of the assets as opposed to the historical cost. In other sectors rates of return are calculated on the basis of the historical cost of the assets which has meant that rates of returns in agriculture are not comparable to those in other sectors.
This paper calculates rates of return for incorporated farms, based on the historical cost of the assets and compares these rates of returns to those in other sectors. It also measures the impact of capital gains on the rates of return for the agriculture sector. In the final section of the paper we measure the level of risk with the rates of return both in the agricultural sector and in other sectors.
Release date: 2005-10-20
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