12.1 Estimate at Completion (EAC) & Estimate to Complete (ETC) Formulas
Key Takeaways
- Estimate at Completion (EAC) represents the expected total final cost of completing all authorized project scope, while Estimate to Complete (ETC) is the projected cost required to finish all remaining uncompleted work (ETC = EAC - AC).
- The Typical Cost Performance formula (EAC = BAC / CPI = AC + (BAC - EV) / CPI) assumes that cumulative historical cost efficiency will continue across all remaining unearned work packages.
- The Atypical Variance formula (EAC = AC + BAC - EV) assumes that past variances were caused by one-time, non-recurring anomalies and that all remaining work will be executed strictly at the original baseline budget rate (CPI_ETC = 1.0).
- The Composite Performance Index formulas (EAC = AC + (BAC - EV) / (CPI * SPI) or weighted 0.8 CPI + 0.2 SPI) account for the compounding cost penalty of schedule acceleration when project completion dates are contractually fixed.
- Empirical research across thousands of capital and defense projects demonstrates that cumulative CPI stabilizes by 15% to 20% project completion; past this milestone, cumulative CPI rarely improves by more than 10%, making BAC / CPI a reliable lower-bound EAC on troubled projects.
12.1 Estimate at Completion (EAC) & Estimate to Complete (ETC) Formulas
This section carries 1.Y conduct cost forecasting and 1.Z calculate Estimate-at-Completion (EAC) updates from Domain 1 — the largest domain at 36% and 43 questions. Forecasting appears in Domain 1 rather than Domain 4 because the blueprint treats the forecast as an act of managing project costs, not merely of measuring them.
In project controls and cost engineering, historical performance monitoring is only the first step in effective project governance. While historical metrics such as Cost Variance ($CV = EV - AC$) and Schedule Variance ($SV = EV - PV$) reveal what has already occurred, project executives, owners, and lenders require forward-looking, predictive intelligence to anticipate final outcomes, secure supplemental financing, or execute corrective actions.
Under the AACE International Total Cost Management (TCM) Framework and EIA-748 Earned Value Management Systems (EVMS) standards, project forecasting centers on calculating the Estimate at Completion (EAC) and the Estimate to Complete (ETC). For Certified Cost Professional (CCP) candidates, mastering the mathematical derivations, operational assumptions, and scenario selection criteria for the standard EAC forecasting methods is critical for both exam success and industrial project governance.
1. Core Forecasting Terminology & Mathematical Relationships
Earned Value forecasting relies on a structured set of baseline, actual, and derived metrics:
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| EVM FORECASTING METRICS ARCHITECTURE |
| |
| BAC (Budget at Completion) = Total approved baseline cost for all work |
| EV (Earned Value) = Budgeted Cost of Work Performed (BCWP) |
| AC (Actual Cost) = Actual Cost of Work Performed (ACWP) |
| |
| Work Remaining (BCWR) = BAC - EV (Budgeted Cost of Work Remaining) |
| ETC (Estimate to Complete) = Projected additional funds to finish work |
| EAC (Estimate at Completion)= Total projected final cost of the project |
| |
| FUNDAMENTAL IDENTITY: EAC = AC + ETC |
| REARRANGED: ETC = EAC - AC |
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The Relationship Between EAC and ETC
- Estimate to Complete (ETC): The expected direct and indirect cost required to finish all authorized remaining work from the current status date forward to project closeout.
- Estimate at Completion (EAC): The total forecasted expenditure for the entire project scope from inception through completion. By definition, it equals the actual sunk costs already incurred ($AC$) plus the forecasted cost to complete remaining scope ($ETC$).
- Work Remaining ($BAC - EV$): Also known as the Budgeted Cost of Work Remaining (BCWR), this represents the baseline value of all work packages and portions of work packages that have not yet been earned.
2. The Four Standard EAC Forecasting Methods
In cost engineering practice, there is no single universal EAC formula. Instead, the cost engineer selects from four distinct mathematical formulations based on an empirical evaluation of past performance root causes and future execution conditions.
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| THE FOUR STANDARD EAC FORMULAS |
| |
| 1. TYPICAL (Cumulative CPI): |
| EAC = BAC / CPI = AC + (BAC - EV) / CPI |
| Assumption: Past cost efficiency will persist for remaining work. |
| |
| 2. ATYPICAL (Budget Rate): |
| EAC = AC + (BAC - EV) = BAC - CV |
| Assumption: Past variances are non-recurring; remaining work at budget.|
| |
| 3. COMPOSITE (Cost + Schedule Critical): |
| EAC = AC + (BAC - EV) / (CPI * SPI) |
| or Weighted: EAC = AC + (BAC - EV) / (0.8 CPI + 0.2 SPI) |
| Assumption: Schedule delay forces costly acceleration / overtime. |
| |
| 4. BOTTOM-UP RE-ESTIMATE: |
| EAC = AC + ETC_bottom-up |
| Assumption: Original baseline is invalid; granular re-costing required.|
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Method 1: Typical Cost Performance (Cumulative CPI Model)
The Typical CPI Forecasting Method assumes that the cost efficiency experienced from project inception to the current status date is representative of future performance. In other words, whatever systemic factors caused cost overruns or savings (e.g., labor productivity rates, site wage differentials, organizational overhead) will continue to operate at the same rate for all remaining work packages.
Proof of Algebraic Equivalence:
To demonstrate why $BAC / CPI$ equals $AC + (BAC - EV) / CPI$:
[!IMPORTANT] Empirical CPI Stability Rule (The Christensen Study): Seminal empirical research by Dr. David S. Christensen (Air Force Institute of Technology) analyzing hundreds of major acquisition programs established that cumulative CPI stabilizes once a project reaches 15% to 20% completion.
- Past the 20% completion mark, cumulative CPI rarely changes by more than $\pm 0.10$ through project completion.
- Furthermore, cumulative CPI almost never improves significantly on troubled projects. Therefore, $EAC = BAC / CPI$ serves as the empirical minimum reasonable cost floor for projects experiencing cost overruns.
Method 2: Atypical Cost Performance (One-Time Variance / Budget Rate Model)
The Atypical Forecasting Method assumes that the cost variances experienced to date were driven by unique, anomalous, one-time events that will not recur during future execution. Consequently, all remaining unearned work ($BAC - EV$) is projected to be executed at the originally budgeted efficiency ($CPI_{\text{future}} = 1.00$).
Relationship to Cost Variance ($CV$):
Because $CV = EV - AC$, rearranging yields $AC - EV = -CV$. Substituting into the atypical formula:
Legitimate Application Criteria:
Cost engineers must apply the Atypical formula only when specific, auditable evidence demonstrates that past variances were truly anomalous. Legitimate examples include:
- A severe 100-year flood or declared natural disaster that temporarily halted site operations.
- A single catastrophic equipment failure covered by vendor warranty or builder's risk insurance.
- Initial mobilization and site access permitting delays that have been fully resolved with permanent permits in hand.
- Initial bankruptcy of a specialty subcontractor where a replacement contractor has been mobilized under a firm-fixed-price subcontract.
[!WARNING] The Optimism Trap: Project managers frequently default to the Atypical formula to present an artificially favorable EAC to senior leadership, claiming that 'we have learned our lessons and productivity will return to 1.0.' On the CCP exam and in professional audit practice, using the Atypical formula requires explicit justification of non-recurrence. Without such evidence, typical CPI extrapolation must be used.
Method 3: Composite Cost and Schedule Index Models
When a project is experiencing both cost overruns ($CPI < 1.0$) and schedule slippage ($SPI < 1.0$), and the project completion milestone is contractually fixed with severe liquidated damages or commercial penalties, cost engineers must employ Composite Performance Index models.
Schedule delays cannot be recovered without expending additional financial resources. To accelerate the critical path, the contractor must deploy schedule compression techniques—such as overtime, double-shifting, adding craft crews, trade stacking, or expediting materials. These acceleration measures inherently degrade labor productivity due to fatigue and physical congestion, thereby compounding future cost inefficiencies.
1. Multiplicative Composite Model (The $CPI \times SPI$ Formula):
- Because both $CPI < 1.0$ and $SPI < 1.0$, their product ($CPI \times SPI$) is smaller than either individual index, resulting in a substantially larger denominator and a higher, more conservative EAC.
- Often referred to as the Worst-Case / Upper-Bound Statistical EAC.
2. Weighted Additive Composite Model (Schedule Cost Index / SCI):
In industrial construction, schedule performance may influence future costs, but direct labor productivity typically exerts a stronger influence. Schedulers use weighted composite indices:
Method 4: Comprehensive Bottom-Up Re-estimate
The Bottom-Up ETC Method discards mathematical index extrapolation in favor of a granular, bottom-up re-estimate of all remaining tasks across the Work Breakdown Structure (WBS).
Implementation Process:
- Every Control Account Manager (CAM) evaluates the remaining physical work packages in their control account.
- The CAM develops a revised estimate of required labor hours, equipment usage, subcontracts, and materials based on current site conditions, latest labor productivity studies, revised material market prices, and updated engineering quantities.
- The bottom-up ETCs are aggregated up through the WBS hierarchy, combined with undistributed budget and indirect cost projections, and added to historical actual costs ($AC$).
Selection Criteria:
- Applied when the original project baseline is fundamentally flawed or obsolete.
- Mandatory after major scope redefinitions, extensive owner-directed change orders, or major technical re-designs.
- Required periodically (e.g., annually or at major project stage-gates) on multi-year megaprojects.
3. Comparative Selection Matrix for EAC Forecasting
| Forecasting Method | EAC Formula | Future Performance Assumption ($CPI_{\text{future}}$) | Primary Operational Trigger | Statistical Cost Bias |
|---|---|---|---|---|
| 1. Typical (Cumulative CPI) | $EAC = \frac{BAC}{CPI}$ | $CPI_{\text{future}} = CPI_{\text{cum}}$ | Standard operating conditions; historical productivity trends expected to continue. | Realistic / Empirical Floor for overrunning projects. |
| 2. Atypical (Budget Rate) | $EAC = AC + (BAC - EV)$ | $CPI_{\text{future}} = 1.00$ | Past variances caused by isolated, non-recurring anomalies; baseline plan remains sound. | Optimistic / Best-Case when project is over budget. |
| 3. Composite ($CPI \times SPI$) | $EAC = AC + \frac{BAC - EV}{CPI \cdot SPI}$ | $CPI_{\text{future}} = CPI \cdot SPI$ | Project is behind schedule; strict milestone requires costly overtime/acceleration. | Pessimistic / Upper-Bound Ceiling. |
| 4. Weighted Composite (80/20) | $EAC = AC + \frac{BAC - EV}{0.8 CPI + 0.2 SPI}$ | $CPI_{\text{future}} = 0.8 CPI + 0.2 SPI$ | Schedule delay impacts cost, but direct cost efficiency remains the primary driver. | Moderately Conservative. |
| 5. Bottom-Up Re-estimate | $EAC = AC + ETC_{\text{bottom-up}}$ | Derived from detailed resource-loaded re-estimate | Baseline assumptions invalidated; major design changes or scope restructuring. | Most Accurate / Highest Effort. |
4. Comprehensive Worked Step-by-Step Engineering Case Study
Industrial EPC Project Parameters:
- Budget at Completion ($BAC$): $30,000,000
- Current Reporting Period (Month 12 of 24):
- Planned Value ($PV$): $18,000,000
- Earned Value ($EV$): $15,000,000
- Actual Cost ($AC$): $20,000,000
- Bottom-Up Re-estimate: Control Account Managers determine $ETC_{\text{bottom-up}} = $18,500,000$.
Step 1: Compute Baseline Variances and Performance Indices
- Cost Variance ($CV$):
- Schedule Variance ($SV$):
- Cost Performance Index ($CPI$):
- Schedule Performance Index ($SPI$):
- Budgeted Cost of Work Remaining ($BCWR$):
Step 2: Compute EAC and ETC Across All Forecasting Methods
Case A: Typical Cost Performance ($CPI = 0.750$)
Case B: Atypical Cost Performance ($CPI_{\text{future}} = 1.00$)
Case C1: Multiplicative Composite ($CPI \times SPI$)
Case C2: Weighted Composite (80% CPI / 20% SPI)
Case D: Bottom-Up Re-estimate
Step 3: Comparative Summary of Forecasts
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| SUMMARY OF FORECASTED OUTCOMES |
| |
| Method ETC ($) EAC ($) Projected Overrun|
| -------------------- --------------- --------------- -----------------|
| Atypical (Best Case) $15,000,000 $35,000,000 +$5,000,000 |
| Bottom-Up Re-estimate $18,500,000 $38,500,000 +$8,500,000 |
| Weighted (80/20) $19,564,367 $39,564,367 +$9,564,367 |
| Typical (CPI Model) $20,000,000 $40,000,000 +$10,000,000 |
| Composite (Worst Case) $24,000,000 $44,000,000 +$14,000,000 |
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[!TIP] Exam Problem-Solving Strategy:
- Always check whether the prompt specifies atypical, typical, composite, or bottom-up assumptions.
- If the problem states 'past variances are expected to continue', immediately apply $EAC = BAC / CPI$.
- If the problem states 'past variances are non-recurring and remaining work will be executed at budget', apply $EAC = AC + (BAC - EV)$.
- If the problem states 'both cost and schedule performance will impact the remaining work', apply the multiplicative composite formula $EAC = AC + (BAC - EV) / (CPI \times SPI)$ unless explicit weighting factors are provided.
An offshore platform topsides fabrication project has an approved Budget at Completion (BAC) of $12,000,000. At the current reporting milestone, the project controls report indicates Planned Value (PV) = $6,000,000, Earned Value (EV) = $4,800,000, and Actual Cost (AC) = $6,000,000. The cost engineer determines that the labor productivity inefficiencies experienced to date are systemic and will continue at the same rate for the remainder of the project. What are the projected Estimate to Complete (ETC) and Estimate at Completion (EAC)?
A tunnel boring project has a BAC of $25,000,000. During the first quarter, the tunnel boring machine encountered unexpected cavernous voids, requiring $3,000,000 in unbudgeted specialized chemical grout injection. At Month 6, PV = $10,000,000, EV = $10,000,000, and AC = $13,000,000. Comprehensive geotechnical core drilling confirms that the remainder of the alignment passes through uniform solid limestone with zero subterranean anomalies. Project management concludes that the past cost variance was an isolated, atypical event and that remaining work will proceed at the originally budgeted efficiency rate. What is the forecasted Estimate at Completion (EAC)?
A highway interchange expansion project with a BAC of $40,000,000 is governed by a strict contractual completion deadline with liquidated damages of $25,000 per calendar day of delay. At the mid-year review: PV = $25,000,000, EV = $20,000,000, and AC = $22,000,000. Management mandates an EAC forecast that incorporates both direct cost inefficiencies and the severe schedule compression required to recover lost time, using the standard multiplicative composite performance index (CPI * SPI). What is the forecasted Estimate at Completion (EAC)?
A project controls engineer reviews an industrial EPC project at 35% physical completion. The original baseline budget was BAC = $50,000,000. Current metrics are EV = $17,500,000 and AC = $21,875,000 (cumulative CPI = 0.80). The project manager argues that a bottom-up re-estimate is unnecessary and proposes using the atypical EAC formula, asserting that future work will achieve a CPI of 1.00 once initial mobilization inefficiencies are overcome. Which of the following statements best reflects AACE International principles and empirical EVM research regarding this proposal?