Cedar Lane Auto Service

The fleet contributes cash despite its allocated loss

Monthly fleet revenue is $48,000, less $24,000 in parts and $4,000 in account-attributable consumables, outside services and other avoidable costs, leaving $20,000 contribution. Retail revenue is $132,000, less $48,000 in parts and $8,000 in other avoidable costs, leaving $76,000 contribution. Total contribution of $96,000 covers $60,000 in retained payroll and employment costs, including owner compensation, plus $24,000 in occupancy, insurance, administration and depreciation, producing $12,000 operating profit before interest and tax. Allocating that $84,000 fixed cost pool by technician hours assigns $30,000 to the fleet and reports a $10,000 account loss. Dropping it without replacement work or actual fixed-cost reductions instead changes shop operating profit from positive $12,000 to negative $8,000.

Technician hours and final checks are both constrained

Four technicians provide 640 paid hours per month; after 80 hours of non-job duties and expected downtime, practical repair capacity is 560 hours. Fleet jobs use 200 hours, or five hours per order, and retail jobs use 360 hours, or three hours per order. Intake can process 180 orders monthly, but the foreman's 40 hours reserved for final checks support only 160 orders at an assumed 15 minutes each. Six bays offer 960 staffed bay-hours monthly; repair activity and vehicles waiting for parts occupy 880. Replacing 40 fleet orders with approximately 67 typical retail orders would preserve technician utilization but increase total orders to approximately 187, exceeding both intake and final-check capacity. Bay occupancy would also need reassessment because parts delays do not track billed hours.

Payment terms add a financing burden to a lower-yield account

Fleet contribution is $100 per technician hour, versus approximately $211 for current retail work, before fixed costs. These are observed scenario averages, not guaranteed returns on new work. Month-end billing followed by 60-day payment means work waits roughly 60–90 days for collection, averaging about 75 days. At a month-end snapshot with two fleet invoices unpaid, billed receivables total $96,000, excluding any unbilled work. Fleet parts suppliers are paid in 30 days, and payroll is paid during the service month, so the shop finances a substantial timing gap. Profit therefore does not equal cash available for owner withdrawals.

Test revised fleet terms before terminating the account

Propose scheduled service windows, separately approved rush work and 30-day payment terms. At unchanged volume, moving from 60-day to 30-day payment could reduce steady-state billed receivables by approximately $48,000 once the transition is complete; that would release working capital, not create profit. Model any rate change against the customer's likely response, and compare contribution, scheduling disruption and actual collection days over a three-month trial.

Pilot replacement demand against every workflow constraint

Release a limited block of fleet appointments only as replacement bookings are confirmed. Track contribution per technician hour, repair orders per day, advisor workload, final-check minutes, bay dwell and rework. Test whether trained staff can perform documented checks under appropriate supervision without weakening quality or merely moving the bottleneck. Do not assume all 200 fleet hours can be sold at the current retail average or that technician availability alone permits the additional orders.

Set a contribution and cash gate for any exit

Under the current cost structure, replacing the fleet's $20,000 monthly contribution restores today's $12,000 operating profit; recovering only $8,000 reaches operating break-even. Require evidence of sustainable replacement contribution, net of any added staffing or marketing costs, before a full exit. Maintain a rolling 13-week cash forecast covering fleet collections, supplier payments, payroll and owner withdrawals. Treat any proposed fixed-cost reduction as a separate decision with its own timing, service-capacity consequences and implementation costs.