Construction Intelligence Brief

How to Compare Backlog Quality, Not Just Backlog Size

A large backlog feels safe. But work at thin margins, with slow-paying owners or on risky terms can leave a contractor busy and poorer.

1. The business problem

Our backlog is big. Is it good?

Backlog is often reported as a single dollar figure, and bigger is taken as better. But the quality of that backlog, meaning its margin, risk, cash profile and fit with capacity, determines what it will earn.

Comparing the quality of backlog projects gives a more reliable picture of the coming year than the total does.

2. What the evidence can reveal

Backlog quality can be scored on a few measures:

  • Calculated Estimated margin of each project, and how reliable it has proved.
  • Calculated Cash profile: payment terms, retainage and expected collection.
  • Calculated Risk: owner strength, contract terms, complexity and schedule.
  • Information gap Fit with capacity: crews, equipment and supervision available when needed.

A smaller backlog of good work can earn more than a larger backlog of marginal work.

3. Investigate the problem

The synthetic contractor has no backlog data, but its in-progress projects are the same kind of list. Calculated Current estimated final margins range from 11.0% at Valley School Addition and 9.5% at Riverside Medical Office to 5.0% at Harbor Logistics and 2.5% at Maple Street Apartments.

Calculated Those four projects have a combined revenue of about $39 million of the portfolio’s $51.5M; the two weakest, Harbor and Maple Street, account for about $24 million of it ($11.9M and $12.3M) and earn the lowest margins. A backlog list with those projects ranks lower in quality than its size suggests.

Hypothesis If a backlog looked like this, an expected portfolio margin built on average margin would be too high. Information gap Payment terms, owner quality and risk assessments are not in the demo. Scoring every backlog project on margin, cash and risk, and showing weighted margin next to total dollars, gives a better guide to what to bid and what to decline.

4. Explore the interactive experience

Investigate it yourself.

Project Performance Dashboard: a project portfolio dashboard with estimated final margins, a scenario simulator for change orders and costs, evidence-linked answers from APIS, and a sample brief, all on synthetic data.

The experience below is built on a synthetic contractor, “Demo Builders Inc.” It has no bid history or backlog data, so its in-progress projects are used to show the method. Nothing in it is real.

  1. In the project table, sort by Est. final margin. Which projects would you rank as highest quality?
  2. Compare revenue size with margin. Is the biggest project the best?
  3. Ask APIS which projects need management attention.

5. Evaluate possible solutions

Managing backlog quality means choosing work deliberately.

Score and rank backlog projects

When it may fit: Backlog is judged by size only.

Evidence needed: Margin, cash and risk by project.

Trade-off: Scores involve judgment.

Replace the weakest work as it completes

When it may fit: Low-quality projects dominate.

Evidence needed: Pipeline of better bids.

Trade-off: May leave capacity idle.

Set quality thresholds for new bids

When it may fit: Marginal work keeps entering.

Evidence needed: Minimum margin and terms.

Trade-off: Fewer wins.

Report weighted margin with backlog

When it may fit: Leadership sees only dollars.

Evidence needed: Backlog and margin by project.

Trade-off: Needs data discipline.

6. What leadership should do next

Questions to answer

  • What is the weighted margin of backlog?
  • How much is thin-margin work?
  • What are the payment terms?
  • Does capacity fit?

Data to gather

  • Backlog by project with margin
  • Payment terms
  • Risk scoring
  • Capacity plan

Steps to take

  1. Rank backlog by quality.
  2. Report weighted margin.
  3. Set thresholds.
  4. Review quarterly.

7. Engage Two Pillars

Improve Project Visibility and Financial Control

Two Pillars can help contractors investigate project portfolio, margin, estimating, cash-flow and operational performance using your own project data. A good first step is a backlog quality score that sits next to backlog size in your reports.

Sources and data notes

  • The organization, its figures, and every number in this article and its interactive experience are synthetic and illustrative. They are not real data, a benchmark, or a forecast.
  • Reviewed October 2026. This article describes an approach to investigation. It does not replace review by qualified professionals.