With ramified economic changes, and increasing complexity of business, each and every business has to maintain their liquidity in effective manner. In this report, Aus Net Service Company has been taken into consideration. This company is energy producing company having headquartered in Melbourne, Australia. This company has been facing tough business functioning due to less demand of its products in market (Xu, et al. 2014).
Operating cash flow ratio- It is the ratio which measure how well current liabilities are covered by the cash flow generated from company’s operations. It could help organization to gauge company’s liquidity in the short term (Gritta & Adrangi, 2014).
Operating cash flow ratio of company could be computed by using the given formula
OCF ratio = cash flow from operation/current liabilities
Cash flow from operation (Amount in AUD $ Million) |
2015 |
2016 |
2017 |
Inventory |
– |
– |
– |
Other working capital |
– |
7 |
0 |
Other non-cash |
0 |
703 |
743 |
Total cash flow from operation |
|
703 |
743 |
Current liabilities of company=
(Amount in AUD $ Million) Current liabilities |
2015 |
2016 |
2017 |
|
1186 |
1582 |
1314 |
Operating cash flow ratio |
2015 |
2016 |
2017 |
|
– |
0.444374
|
0.565449
|
This ratio has reflected that company has increased its operating cash flow ratio by increasing its current liabilities amount. It has shown that company has been increasing its business operation which has also increased its investment in the business operation of company. company has increased its cash flow from the business operation (Ak, et al. 2013).
Ak, B. K., Dechow, P. M., Sun, Y., & Wang, A. Y. (2013). The use of financial ratio models to help investors predict and interpret significant corporate events. Australian journal of management, 38(3), 553-598.
Gritta, R. D., & Adrangi, B. (2014). The Use of Bankruptcy Forecasting Models in Teaching Applied Ratio Analysis in Investment and Financial Statement Analysis Courses.
Xu, W., Xiao, Z., Dang, X., Yang, D., & Yang, X. (2014). Financial ratio selection for business failure prediction using soft set theory. Knowledge-Based Systems, 63, 59-67.
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