Rutgers New Jersey Agricultural Experiment Station [Rutgers Cranberry Grower Economics and Profitability]

Cost-Benefit Analysis

Below is a list of variables (i.e., yield, price, and costs) that you may use to calculate the return on investment of renovating a one-acre field. You may also input information specific to your own farm. Click on the "Update Results" button when you are ready to see your return on investment.

Variety:
Other Variety Name:
State/Region:
Yields (bbls/acre):
Price ($/bbl):
Field Conversion Cost ($/acre):
Shipping Cost ($/acre):
Materials Cost ($/acre):
Licensing Cost ($/acre):
Variable Cost of Production ($/acre):
Percent Yield in Year 3 (%):
Percent Yield in Year 4 (%):
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After inserting your chosen data, just click on Update Results, and you will see graphical and tabular data, readily printable. Detailed Data can be obtained by clicking Print Detailed Results button.

Since the model is meant to be comparative, assumptions that are equal for the 2 data sets compared will not greatly affect the comparative results.
*All other costs assumed equal for Rutgers and other varieties.


Cost Benefit Results
Net Present Value ($):
Equal Cash Flow (Year):
Breakeven Point (Year):
10-Year Return on Investment for Conversion:

[Google Chart Image]
Please help us by submitting this data. All submissions are anonymous. First populate the right-side column above with your variety, state, cost and yield information and then hit “submit data”. You can also change the data in the left-side column if you have experience growing the Mullica Queen® variety.

Your State:

For help with this website, please e-mail Kevin Sullivan at sullivan@njaes.rutgers.edu

For more information on how to purchase Rutgers varieties, please e-mail Leon Segal at segal@otc.rutgers.edu or see http://agproducts.rutgers.edu/cranberries for more details.


Disclaimer: The yield assumptions presented here are from several replicated research trials and are our best estimate of Crimson Queen’s potential, however, they are not a guarantee of future performance.

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