# Sheet Metal Job Cost Rollup SQL Query Generator

> Source: https://netray.co/tools/sheet-metal-job-cost-rollup-sql-query-generator
> Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems.
> Section: Free Tools

## Short answer

Builds a job cost rollup query over generic job, operation and material tables, with your table and column names filled in.

## Category

developer

## Industry

Sheet Metal Fabrication

## Audience

- ERP analyst
- Cost accountant
- Fabrication manager

## Tool

**Kind:** template

**Output:** code

**Language:** sql

**Fields:**

#### Job table

**Key:** job_table

**Type:** text

**Default:** fab_job

**Help:** Generic name. Replace with your ERP job or shop order table.

#### Operation / labor transaction table

**Key:** op_table

**Type:** text

**Default:** fab_job_operation

#### Material issue table

**Key:** mat_table

**Type:** text

**Default:** fab_job_material

#### Work center table

**Key:** wc_table

**Type:** text

**Default:** fab_work_center

#### Closed on or after

**Key:** date_from

**Type:** date

**Default:** 2026-10-01

#### Closed before

**Key:** date_to

**Type:** date

**Default:** 2026-11-01

**Blocks:**

#### Job cost rollup

**Body:** -- Generic table and column names. Map to your ERP before running.
WITH labor AS (
  SELECT o.job_no,
         SUM(o.setup_hours * wc.hourly_rate)  AS setup_cost,
         SUM(o.run_hours   * wc.hourly_rate)  AS run_cost,
         SUM(CASE WHEN wc.wc_code IN ('LASER','PUNCH') THEN o.run_hours ELSE 0 END) AS cutting_hours,
         SUM(CASE WHEN wc.wc_code = 'BRAKE' THEN o.run_hours ELSE 0 END)            AS bending_hours
  FROM {{op_table}} o
  JOIN {{wc_table}} wc ON wc.wc_code = o.wc_code
  GROUP BY o.job_no
),
material AS (
  SELECT m.job_no, SUM(m.qty_issued * m.unit_cost) AS material_cost
  FROM {{mat_table}} m
  GROUP BY m.job_no
)
SELECT j.job_no,
       j.part_no,
       j.qty_completed,
       COALESCE(mt.material_cost, 0)                              AS material_cost,
       COALESCE(l.setup_cost, 0) + COALESCE(l.run_cost, 0)       AS labor_cost,
       COALESCE(mt.material_cost, 0) + COALESCE(l.setup_cost, 0) + COALESCE(l.run_cost, 0) AS total_cost,
       CASE WHEN j.qty_completed > 0
            THEN (COALESCE(mt.material_cost, 0) + COALESCE(l.setup_cost, 0) + COALESCE(l.run_cost, 0)) / j.qty_completed
            ELSE 0 END                                            AS cost_per_part,
       l.cutting_hours,
       l.bending_hours
FROM {{job_table}} j
LEFT JOIN labor l    ON l.job_no = j.job_no
LEFT JOIN material mt ON mt.job_no = j.job_no
WHERE j.close_date >= '{{date_from}}'
  AND j.close_date <  '{{date_to}}'
ORDER BY total_cost DESC;

**Notes:** Table and column names here are generic placeholders, not the schema of any specific ERP. Map job_no, wc_code, hourly_rate and the hour fields to your system, and confirm whether your ERP stores burdened or direct rates. Test on a copy of the database and use a read-only account.

## Content

**Intro:** This generator builds a SQL query that totals material and labor by job and reports cost per part, with cutting and bending hours split out. It is meant as a clean starting point for a post-job review report.

**Sections:**

#### How to use it

**Body:** Fill in your table names and the date window, then copy the SQL into your reporting tool. Before running, map the generic column names to your ERP: the job key, work center code, work center hourly rate, setup and run hours, quantity issued and unit cost. Run it first on a small date range and compare two or three jobs to the numbers you see in your ERP job cost screen.

**Bullets:**

- Use a read-only reporting account.
- Validate three known jobs by hand before trusting the report.
- Add scrap quantity if your system tracks it separately.

#### How the cost is built

**Body:** Labor cost is the sum of setup hours and run hours multiplied by the work center rate. Material cost is quantity issued times unit cost. Total cost is the sum, and cost per part divides by completed quantity, guarded against zero. Common table expressions keep labor and material separate so the join does not multiply rows, which is a classic cause of inflated totals when a job has many operations and many material lines.

#### Reading the output

**Body:** Sort by total cost to find the jobs that moved the numbers, then compare cost per part to your quote. A large gap with high cutting hours often points to under-estimated laser time or poor nest yield. A gap with high bending hours points to setups or part handling. Compare estimated and actual by operation, not only in total, so the cause is visible.

#### Common mistakes

**Body:** Joining operations and material directly produces duplicated rows and inflated cost. Using standard rates for some jobs and actual rates for others breaks comparisons. Counting outside processing, such as powder coat or plating, in neither table understates cost. Add it as a third subquery if it is posted to the job.

**Cta:** If you want an approved, read-only job cost report running against your real ERP schema, we can set that up and explain each query it runs.

**Faq:**

#### Will this run against my ERP as is?

**Answer:** No. The table and column names are generic placeholders and must be mapped to your ERP schema. The structure of the query, with separate labor and material subqueries, will carry over to most systems.

#### Why use CTEs instead of one big join?

**Answer:** Joining operations and material in one step multiplies rows and inflates totals. Aggregating each source by job first, then joining, keeps totals correct.

#### Should I use standard or actual labor rates?

**Answer:** Use the rate your costing policy defines and keep it consistent. Actual rates show real performance, standard rates show variance against plan. Many shops report both side by side.

#### How do I add outside processing?

**Answer:** Add a third subquery that sums purchase receipts or posted outside service costs by job and join it on job number, then include it in the total cost expression.

## Search terms

job cost rollup sql, sheet metal job costing query, fabrication cost per part sql, work center rate cost query, actual vs estimated job cost sql, shop floor labor cost query, manufacturing job cost report sql, cost per piece fabrication

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