Practical tools for measured work
Budget at completion and earned value
Sum the approved baseline and compare cost, schedule and remaining-work forecasts with explicit assumptions.
Calculate the layout, check the diagram, then print the result for the shop or jobsite.
How it works
BAC sums the approved performance baseline, not a sales bid or invoice. Enter each baseline amount once, in one currency. EV is the budgeted value of completed work; PV is scheduled budget to date; AC is actual cost. Reserve and profit are not automatically baseline amounts.
CPI = EV / AC and SPI = EV / PV. Remaining budget is BAC minus EV. Forecast ETC using that remaining budget divided by CPI, divided by CPI × SPI, unchanged, or your entered estimate. EAC = AC + ETC. Zero denominators produce an unavailable index, not an infinite forecast.
Current-input example
The result above uses these exact values. This snapshot is included when the page is printed so the output can be checked against the original measurements.
- Baseline budget amounts separated by semicolons
- 25000;50000;25000
- Earned value (EV)
- 40000
- Planned value to date (PV)
- 50000
- Actual cost to date (AC)
- 50000
- Remaining-work forecast
- Continue cost efficiency (CPI)
Primary result: Budget at completion (BAC): 100000.
Before using the result
- Check the selected mode, units and input values before using the result.
- Read the assumptions and rounding rules; compare the worked example with your intended calculation.
- A numerical result does not supply missing context or change the stated limitations.
Limitations
Forecasts assume the selected performance pattern continues. They do not assess scope changes, risks, cash flow or completion dates. Schedule variance is measured in budget units, not days. Reconcile the baseline and earned progress with the project controls team.
Frequently asked questions
What should I verify before using this result?
Check the input values, units, dates and assumptions. Compare the method and its stated limits with the source relevant to your task.
Why might the finished result differ?
Results depend on the entered data and the model’s assumptions. Rounding, changing conditions or omitted factors can affect the comparison. Read the limitations before using the result.
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