ETC - Contabilidade de Custos no Auxílio da Tomada de Decisões

Core message: Cost accounting as a decision-support tool

• Cost accounting is no longer just “recording numbers” or handling bureaucracy; it should support strategic decisions that directly affect business results.
• Accountants should act as business partners, building trust with owners by providing actionable insights derived from cost data—not only tax/compliance outputs.

Business problem addressed (why this matters)

A Sebrae study cited in the talk states that 37% of interviewed businesses fail due to lack of profitability.

Many owners mistakenly believe accountants only deal with tax obligations, while entrepreneurs focus on:

• people management
• processes
• customer acquisition
• inventory management
• assessing whether the company is productive/profitable

Relationship & operational involvement playbook (what accountants should do)

Accountants should ask and help resolve operational questions, such as:

• How long since the accountant last visited the client’s facility (to understand operations)?
• How long since the accountant last engaged in operations (to identify opportunities, e.g., tax recovery)?
• Can the accountant explain:
  • which inputs/costs drive product costs?
  • which affect tax credits?

Key operational implication: monthly paperwork alone is insufficient—on-site understanding improves the quality of cost allocation and management decisions.

---

Framework: Cost allocation principles (CPC 16 referenced)

Indirect/overhead allocation affects:

• inventory costs
• profit reporting

Inventory transformation costs include

• direct costs (e.g., direct labor)
• systematic allocation of indirect production costs

Allocation criteria

• Indirect resources must be distributed proportionally to a known driver (apportionment).
• Some subjectivity is inevitable due to imperfect measurability of indirect costs.

Guiding rule

Choose the allocation criterion closest to actual resource consumption to avoid distorted managerial outcomes.

---

Case study/playbook: “Happy hour bill” analogy → biased allocation harms fairness

A group agrees to split a bill “equally,” but the organizer (Antonio) benefits because:

• the allocation method was proposed by the person who consumed the most
• some participants effectively “subsidize” others despite the initial agreement

Business translation: companies may repeatedly use “convenient” allocation rules, creating systematic distortions in product profitability—especially when the “losers” are less visible operationally.

---

Main numerical example: 3 products + maintenance overhead (R$ 52,500)

Setup

• Total maintenance cost (fixed overhead example): R$ 52,500
• 3 products/production lines: A, B, C
• Three allocation hypotheses were compared (each changes product gross margins).

Scenario 1 — Equal split (1/3 each)

Allocation

• Each product receives R$ 17,500

Resulting gross margins

• Product A: 19%
• Product B: 17%
• Product C: 17%

Interpretation

• easy/simple; often used when the firm is profitable
• risk: cross-subsidies and distorted COGS timing (cost lands in inventory and is recognized in P&L upon sale)

---

Scenario 2 — Allocate by revenue proportion

Driver

• Each product pays a share of maintenance based on % of sales/revenue

Example numbers given

• Product A revenue share: 19%
• Product C revenue share: 45%
• (Product B is implied as the remainder)

Resulting gross margins

• Product A: 25% (increased)
• Product B: ~17% (similar to Scenario 1)
• Product C: 14% (decreased)

Interpretation

• supports a portfolio-maintenance logic (higher revenue products subsidize lower volume ones)
• downside:
  • requires periodic review when the sales mix changes
  • can still distort “true” resource consumption costs

---

Scenario 3 — Allocate by maintenance time usage (cause-based)

Driver

• Maintenance team work orders/time spent per production line

Maintenance team capacity

• available: 220 hours/month
• total maintenance work allocated: R$ 52,500

Example allocation

• Line A consumes 80% of maintenance team time (absorbs most maintenance cost)

Resulting gross margins

• Product A: -2% (turns unprofitable under this method)
• Product B: 23% (increases)
• Product C: 21% (increases)

Core decision insight If the firm wants to remain profitable, it must reveal actual cost drivers to decide:

• remove unprofitable products
• boost profitability (pricing, process changes)
• evaluate outsourcing vs keeping internal capability

---

Actionable decision recommendations (what management can do)

If cause-based allocation (Scenario 3 style) reveals unprofitability:

• remove a product from the portfolio (or redesign it to improve profitability)
• evaluate whether internal maintenance is worth it
• consider outsourcing maintenance if internal structure is not efficiently consumed

---

Optimization example: internal vs outsourced maintenance using idle capacity

Added control data

Work orders include:

• start time
• end time

This enables measurement of actual labor time vs available capacity.

Idle capacity / wasted cost

• Maintenance team:
  • available: 220 hours/month
  • actually worked: 100 hours
• Idle capacity cost calculated: R$ 28,000/month (presented in the narrative as ~R$ 28,600)

Reference totals

• Total fixed maintenance cost: R$ 52,500
• Actual consumed structure: R$ 23,800
• Result: the idle/unused portion is a significant expense.

Manager decision enabled

• either keep internal maintenance despite idle cost or

• eliminate internal department and outsource

Outsourcing tradeoff

• external providers may require travel/setup time, increasing downtime
• this raises the effective fixed-cost burden per unit of idle production time

Pros/cons of Scenario 3

Pros

• reduces cross-subsidies between products
• supports more reliable decisions on profitability and internal capability

Cons

• requires detailed recording/control of maintenance work orders (more operational discipline)

---

Executive takeaway: profitability can hide inefficiencies

When the “lake” (profitability) is high, inefficiencies remain submerged. When profitability decreases, inefficiencies become visible.

Therefore:

• even profitable companies need accurate cost accounting to detect hidden distortions early.
• accounting must “go beyond superficial reading” by delving into processes and operational reality.

---

Key metrics / KPIs mentioned (and how they were used)

• Business failure driver: 37% due to lack of profitability (Sebrae study cited)
• Allocation example metrics:
  • Maintenance fixed overhead: R$ 52,500
  • Gross margin outcomes by allocation method:
    • Product A: 19% → 25% → -2%
    • Product B: 17% → ~17% → 23%
    • Product C: 17% → 14% → 21%
  • Maintenance capacity:
    • available: 220 hours/month
    • worked: 100 hours
  • Idle capacity cost: ~R$ 28,000/month (also referenced as ~R$ 28,600 in the narrative)
• Revenue-share allocation inputs:
  • Product A: 19% of sales
  • Product C: 45% of sales
  • (Product B is implied as remainder)

---

Presenters / sources (as named)

• Claudimir Matiusso (alternate member of the CRC Paraná council; host/introducer)
• Valmir Silva (Professor Valmir Silva) from Recente (main presenter; cost accounting/controlling/planning lecturer and consultant)
• CRC Paraná (Regional Accounting Council of Paraná) (organization hosting/mediation context)
• Sebrae (study cited: business mortality/causes; 37% lack of profitability)
• CPC 16 (accounting pronouncement referenced, specifically Section 12 on inventory transformation costs and systematic allocation of indirect costs)